GadgetHumans MCP

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by gadgethumans-dev

Overview Schema Related Servers Score Discussions

JavaScript

Remote

Server Quality Checklist

Profile completionA complete profile improves this server's visibility in search results.

Latest release: v1.0.3
Disambiguation2/5
Many tools have overlapping or ambiguous purposes, such as x402_wallet_info vs wallet_info, swap_case vs invert_case, and convert_units vs speed_convert/pressure_convert. The descriptions are minimal and don't sufficiently clarify distinctions between similar tools.
Naming Consistency2/5
Tool names mix verb_noun (check_ssl_certificate, generate_password), noun_verb (dns_lookup, domain_age), and suffix-based patterns (emi_calc, loan_calculator, speed_convert). This inconsistency makes it hard to predict naming conventions across categories.
Tool Count1/5
302 tools is an extreme mismatch for any coherent server purpose. The count is overwhelming and clearly exceeds reasonable scope, making selection difficult and maintenance impractical.
Completeness2/5
The server attempts to cover an impossibly broad range of utilities, but lacks obvious counterparts (e.g., base64 encoding without decoding) and provides no cohesive lifecycle or domain coverage. The surface feels like an arbitrary collection with notable gaps in each area.
Average 1.9/5 across 300 of 302 tools scored. Lowest: 1/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 3 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
Add a glama.json file to provide metadata about your server.
If you are the author, simply .
If the server belongs to an organization, first add glama.json to the root of your repository:
```
{
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "maintainers": [
    "your-github-username"
  ]
}
```
Then . Browse examples.
Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description must carry the full burden. It only discloses the $0.001 USDC cost via x402, but provides no behavioral traits such as what the tool processes, returns, or any side effects. The payment detail is useful but wholly insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness1/5
Is the description appropriately sized, front-loaded, and free of redundancy?
While extremely short, this is under-specification, not conciseness. The phrase 'Content & AI tool' is essentially meaningless and contributes no informative value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, a generic schema, and a two-word description, the agent lacks all context needed for correct invocation. The cost mention is the only usable hint, but the tool's actual operation is entirely unknown.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with no specific properties, and the description adds no information about what keys or values the agent should provide. With 0% compensation from the description, parameter understanding is impossible.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description labels it as 'Content & AI tool' without specifying a verb, resource, or actual function. It does not differentiate from sibling tools like keyword_density or extract_entities, leaving the agent to guess what 'keywords' does.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives. The only additional detail is the cost, which is not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries full responsibility for behavioral disclosure. It fails to describe what the tool does, side effects, or return values. The only extra detail is the cost ($0.001 USDC via x402), which is a business detail rather than behavioral transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief, but it wastes its length by restating the name and adding a generic category. It is under-specified rather than effectively concise, similar to the 'Process' calibration example.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and a generic input schema, the description must provide essential context about inputs and outputs. It provides none, making it impossible for an agent to correctly select and invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only defines a generic 'params' object with no properties, and the description does not compensate by explaining expected inputs (e.g., strings to compare). Schema coverage of the generic wrapper is irrelevant without actual parameter documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('anagram check') and adds a vague category label ('Other Utilities tool'). It does not use a specific verb or describe what the tool actually does, leaving it indistinguishable from sibling utilities like palindrome_check or word_similarity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It only mentions pricing and category, with no context about appropriate use cases, prerequisites, or scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full responsibility for disclosing behavior. It only mentions cost, offering no insight into inputs, outputs, side effects, or operational details. This is a significant gap for a tool whose core function is completely unspecified.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but brevity is not conciseness here because it omits essential information. The first clause is redundant with the tool name, and the cost note is the only substantive piece—yet it fails to compensate for the missing purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of output schema and the vague sibling context, the description is utterly incomplete. An agent cannot infer what the tool does, how to invoke it, or what results to expect.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema exposes a single generic 'params' object with no specific parameters. The description adds no semantic value, leaving the agent with zero understanding of what parameters to pass or what they mean.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the name 'ascii table' and categorizes it as 'Other Utilities tool.' There is no verb or explanation of what the tool actually does, making it a tautology that does not distinguish it from dozens of sibling utilities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool or how it differs from alternatives. The description does not mention any context, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosure. It only mentions the monetary cost, not what the tool does to the input, whether it supports both encoding and decoding, or any side effects. This is critically insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is extremely short but is under-specified rather than concise. A one-sentence description that repeats the name and cost does not count as effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is completely inadequate for a functional tool. It provides no information about input format, output, behavior, or edge cases, and with no output schema or annotations to compensate, it fails all contextual completeness requirements.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with no meaningful property definitions. The description adds no parameter details, leaving the user entirely in the dark about what to pass (e.g., text, shift amount, direction).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely repeats the tool name 'caesar cipher' and adds the vague category 'Other Utilities tool'. It does not state a verb or define what operation is performed (e.g., encrypts/decrypts text using a Caesar shift), nor does it distinguish from similar sibling tools like rot13_cipher or atbash_cipher.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool, what kind of input it expects, or how it compares to alternative cipher tools. The description provides no contextual usage direction whatsoever.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavior. The only disclosed trait is the cost ($0.001 USDC via x402), which does not cover side effects, required inputs, or return behavior. There is no annotation contradiction.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short but lacks substance; it is under-specified rather than concise. The phrase 'caps analysis' adds no value, and the cost note is the only potentially useful content, but it fails to explain the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with unknown functionality, generic param wrapper, and no output schema, this description provides almost no context. An agent cannot infer how to call it, what inputs are expected, or what results it returns.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains a single generic 'params' object with a vacuous description ('Tool parameters as JSON object'). The tool description adds zero information about what keys or values the params should contain, leaving agents completely uninformed even about the most basic invocation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('caps analysis') and labels it as 'Other Utilities tool,' but never states a specific verb, resource, or function. It gives no indication of what the tool actually does or how it differs from any sibling.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance whatsoever about when to use this tool, what inputs to provide, or when not to use it. No alternatives are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, and the description only mentions cost. It does not disclose what the tool does, what data it operates on, or any side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The phrasing is very short, but it is under-specified rather than concise. The cost note is the only added detail and is not relevant to how the tool should be invoked.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is part of a large family of text-analysis utilities, yet the description provides no context about functionality, input schema details, or return value. It is entirely inadequate for effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only provides a generic 'params' object with no meaningful property details. The description adds no parameter explanation, leaving the user without any clue what arguments to supply.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('char count') and categorizes it as 'Other Utilities tool.' It lacks a verb, a clear action, or any differentiation from sibling tools like word_count or line_count.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description does not specify input expectations, use cases, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. It mentions a cost of $0.001 USDC, which is a small behavioral detail, but omits any information about return values, side effects, or required inputs, leaving the tool's operation completely opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but this is under-specification rather than effective conciseness. The only informative phrase is the cost, which does not justify the description's existence; it fails to provide any actionable content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema, no annotations, and the parameter schema is generic. The description should at least state the tool's function and usage, but instead gives only a category label and cost, making it completely inadequate for a tool with this complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema defines a single generic 'params' object with no meaningful parameter fields. The description adds no clarification about what parameters should be passed, so the tool remains unusable without external documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name and categorizes it as 'Other Utilities,' providing no verb or specific function. It does not indicate what actions the tool performs with chemical elements, making it a tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description offers no guidance on when to use this tool versus any alternative. It only mentions a cost, which is irrelevant for selection without knowing the tool's purpose.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, but it only mentions cost via x402. It does not explain what the tool does to input, whether it mutates anything, or what output format to expect.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but this is under-specification rather than effective conciseness. The only substantive piece—cost—is irrelevant without a functional description, making the brevity a liability.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, a generic input object, and no behavior details, the tool needs a rich description to be usable, but provides virtually none. The agent cannot correctly select or invoke this tool based on the definition alone.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema merely exposes a generic 'params' object with no nested properties, and the description adds no explanation of expected keys or values. Despite 100% schema description coverage, the coverage is an empty placeholder that does not help the agent construct a valid call.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description repeats the tool name 'comment strip' and labels it 'Other Utilities tool' without stating any action or resource. It does not differentiate this tool from dozens of sibling utilities, leaving its function completely undefined.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or what context it fits. No alternatives, exclusions, or use cases are mentioned; the only extra detail is a cost note.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only mentions cost and category, revealing nothing about what the tool does, what inputs it expects, what it returns, or any side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but brevity here is under-specification rather than conciseness. While the first clause is clear about cost, the rest is purely categorical and adds no functional value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and a generic input schema, the description must compensate, but it offers almost no context. For a likely multi-purpose date calculation tool, this is severely incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only has a generic 'params' object with no concrete parameters or field descriptions. The description adds no detail about what parameters date_calc accepts, making it impossible for an agent to construct a valid invocation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name 'date calc' and categorizes it as 'Other Utilities tool', with no verb or resource clarifying what it does. It does not distinguish this from the many other date-related tools like calculate_age or due_date_calc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or when to prefer a sibling tool. The only practical detail is the cost, which says nothing about use cases or alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. The only disclosed trait is the cost ('$0.001 USDC via x402'), but there is no mention of what the tool does, whether it makes network calls, what it returns, or any side effects. This is a critical gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification, not conciseness. The single sentence provides a name-like title and a cost but fails to include any functional information, earning no credit for efficient communication.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with a generic schema, no output schema, and no annotations, the description is completely inadequate. An agent cannot determine what this tool does, what parameters to pass, or what results to expect, so the description is not complete enough for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains a single 'params' object with the generic description 'Tool parameters as JSON object'. The tool description adds no explanation of what keys or values are expected within that object, making it impossible for an agent to construct a valid invocation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description labels the tool as 'Content & AI tool' but does not state a verb or specific function like 'check grammar' or 'correct grammar'. This is essentially a tautology of the name and provides no differentiation from sibling tools such as proofread or paraphrase.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of context, prerequisites, or examples, leaving the agent without any directional cues.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. It does not mention what the tool does, what inputs it accepts, what outputs it returns, or any side effects or limitations. The cost is disclosed, but that is not behavioral transparency regarding the operation itself.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but it is under-specified rather than concise. The first three words repeat the tool name, 'JSON & Data tool' is a vague category, and the cost information, while factual, does not help an agent understand the tool's function. Every part is either redundant or unrelated to usage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool that likely parses JSONPath expressions, the description omits essential context: what JSONPath expressions look like, how to pass the JSON input, what result format to expect, or any error conditions. There is no output schema and no annotations to compensate. This is highly inadequate for an agent to select and invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with no specific properties, and the description provides no clarification. The schema's description ('Tool parameters as JSON object') is tautological and gives no information about what parameters are needed (e.g., 'json' and 'path'). The description adds zero value in explaining parameter meaning.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a restatement of the tool name plus a broad category label ('JSON & Data tool'). It does not state what the tool does, e.g., that it evaluates a JSONPath expression against a JSON document. There is no verb, no specific resource, and no differentiation from sibling tools like process_json or validate_json.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives. The only additional information is the cost, which is not a usage guideline. There is no mention of suitable input formats, expected use cases, or scenarios where another JSON tool would be more appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, and the description provides no behavioral details such as input expectations, return format, or whether the operation is read-only. It only mentions cost, which does not disclose any functional behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but contains redundant information ('levenshtein distance' repeats the name) and only adds cost information. It is under-specified to the point of being unhelpful, not genuinely concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool requiring at least two string parameters and returning a numeric distance, the description provides no functional context. The cost note is irrelevant for invocation, and the tool is effectively unusable without additional documentation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only defines a generic 'params' object with no specific properties, and the description adds no information about what parameters to provide. The agent is left completely in the dark about how to invoke the tool with the correct arguments.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'levenshtein distance — Other Utilities tool' merely restates the tool name and categorizes it as an 'Other Utilities tool'. It does not describe what the tool does (i.e., computes the Levenshtein edit distance between two strings), so the agent cannot infer its function.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool or when to prefer alternatives. Given sibling tools like 'word_similarity' and 'text_diff', the description offers no differentiation or selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It fails to mention what input is expected, whether the operation is read-only, what the output format is, or any side effects. The only extra detail is the cost, which is not a behavioral trait.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but this is under-specification rather than conciseness. It omits essential information while including only a name, category, and cost. The two phrases do not form a coherent tool description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (likely requires text input) and the absence of an output schema or annotations, the description is severely incomplete. An agent cannot determine how to invoke the tool, what parameters to pass, or what to expect in return.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no specific properties. The description adds no explanation of what parameters are required or how they should be structured (e.g., the text to count lines from). The schema coverage of 100% is misleading because the schema itself is a placeholder.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is 'line count — Other Utilities tool. Costs $0.001 USDC via x402.' It simply restates the tool name and provides a generic category and pricing, but never states what the tool actually does (e.g., count lines in a text input). This is essentially a tautology, offering no functional clarity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. It does not mention that it is for counting lines in text, nor does it compare with sibling tools like word_count or char_count. The description offers no trigger conditions or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It only mentions the cost ($0.001 USDC via x402), which is a practical detail but not about the tool's actual behavior (e.g., does it mutate input, handle various text types, or have side effects?). The core masking operation is entirely opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but it is under-specified rather than concise. The phrase 'mask text' repeats the tool name, and while the cost note is useful, the overall structure fails to front-load essential functional information. Every word should add value, but most of it is redundant or trivial.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and only a generic params schema, the description needed to explain the tool's function and parameters thoroughly. It provides neither, making the tool impossible to use correctly solely from the description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object wrapped as a catch-all, so schema coverage is 100% only in the sense that one generic parameter exists. The description adds no meaning about what parameters (e.g., text, mask character, visible chars) are expected or how they behave, failing to compensate for the absence of real schema detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'mask text — Other Utilities tool' merely restates the tool's name and category without explaining what 'mask' does (e.g., hidden characters, format preservation). It provides no verb+resource combination beyond the name itself and does not distinguish it from sibling text utilities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives like hash_text, encode_base64, or other text transformations. The description gives no context, prerequisites, or exclusions, leaving the agent without any basis for tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost of $0.001 USDC via x402, which is a payment requirement. With no annotations to provide read-only/mutation hints, the description offers no information about the tool's operation, inputs, outputs, or side effects, making it almost entirely untransparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence, but it is under-specified rather than concise. While it avoids waste, it omits essential information, making the brevity a liability rather than a virtue.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a generic input schema, the description must carry the full burden of explaining the tool, but it does not. There is no information about what the tool returns or how to invoke it correctly, making it completely inadequate for even a simple calculator.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema defines only a generic 'params' object with a placeholder description, and the tool description adds no detail about expected parameters such as distance, time, or pace units. This leaves the agent completely in the dark about how to construct a valid request.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name and categorizes it as 'Other Utilities tool', with no verb or resource specification. It completely fails to indicate what 'pace calc' does, making it essentially a tautology with no functional meaning.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the many sibling calculators or utilities. There is no mention of scenarios, alternatives, or exclusions, leaving the agent without any basis for choosing this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits but does not. It mentions a charge but not what the tool does, whether it is read-only, what inputs it accepts, or what output to expect. The behavior of padding is entirely undefined.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but under-specification is not conciseness. It contains a category label and cost information but lacks meaningful content. The single sentence does not earn its place because it adds no functional explanation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Even for a simple tool, the description provides almost no contextual information beyond a cryptic name and cost. There is no mention of input requirements, output format, or behavior, making it impossible for an agent to invoke this tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only declares a generic 'params' object with no property definitions. The description adds nothing about padding direction, character, amount, or any other parameter semantics. It fails to compensate for the schema's lack of detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('pad text') and assigns a vague category ('Text & Encoding tool') without specifying what padding does. It does not state the verb+resource clearly, and there is no distinction from sibling text tools like wrap_text or truncate_text.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. The only additional information is a cost note ('$0.001 USDC via x402'), which does not help select this tool over siblings. No context for preferred usage scenarios is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description discloses only the cost ($0.001 USDC) without any behavioral details such as input requirements, output format, or side effects. It does not clarify how paragraphs are counted or what the agent should expect.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
While very short, it is under-specified rather than concise; it omits essential information about the tool's function and usage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is a simple text-analysis function, but with no output schema, no parameter details, and no description beyond the name and cost, it is not usable by an agent. Overall inadequate for a 1-parameter tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object with no specific properties, and the description adds no parameter semantics. The agent has no indication of what fields to provide (e.g., 'text' or 'paragraphs').
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely repeats the tool name ('paragraph count') and categorizes it as 'Other Utilities tool'. It does not state the operation, such as counting paragraphs in a provided text, nor distinguishes it from sibling text-analysis tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like word_count or char_count. The description only mentions category and cost, with no usage context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. It only mentions a cost, but does not explain what the tool calculates, whether it has side effects, what its return format is, or any error conditions. This is far below the minimum needed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but this is under-specification rather than conciseness. The cost statement is the only concrete detail, but the rest is a tautology. A concise description should still convey purpose and usage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's apparent nature as a calculator, the complete absence of parameter details, output expectations, and differentiation from many sibling calculator tools makes this description entirely insufficient for an agent to select and invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with no specific fields, and the description adds no parameter semantics. Even though schema coverage is 100%, the schema itself is empty, and the description does not compensate by explaining what keys or values to pass.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely rephrases the tool name as 'ratio calc' and labels it 'Other Utilities tool,' with no verb or resource. It fails to state what the tool does, what inputs it accepts, or what kind of result it produces, and it does not distinguish it from the many sibling calculator tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The only additional information is the cost, which does not help an agent decide when to invoke it. No context, prerequisites, or exclusion criteria are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries full responsibility for behavioral disclosure. It only mentions cost ($0.001 USDC via x402) and omits how the tool operates, what it returns, or any side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than conciseness. The single clause restating the name plus a cost note offers zero functional detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool that presumably tests regular expressions, with no output schema and a generic params field, the description is drastically incomplete. Agents cannot determine what to pass or what results to expect.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains a single generic 'params' object described as 'Tool parameters as JSON object', which provides no concrete meaning. The description adds no parameter detail, leaving agents without any hint about expected regex pattern, test string, or flags.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('regex test') and labels it as 'Other Utilities tool'. No verb or resource explains what testing a regex entails, and it does not distinguish from sibling tools like regex_escape.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use regex_test versus regex_escape or other regex-related tools. No context about inputs, use cases, or alternative selection is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description offers no behavioral details such as input/output expectations, error handling, or side effects. The only additional fact is the cost ($0.001 USDC via x402), which does not clarify the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than effective conciseness. Every word is used, yet the content is nearly empty of functional meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's name, siblings, and lack of annotations/output schema, the description is completely inadequate. No context about conversion logic, supported formats, or expected results is provided.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with no specific fields, and the description does not explain what parameters are needed (e.g., number, format, direction of conversion). This leaves the agent with no understanding of how to invoke the tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name 'roman numerals' and categorizes it as 'Other Utilities tool'. No verb or action is specified, so it fails to state what the tool actually does (e.g., convert numbers to Roman numerals).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or how it differs from sibling tools like convert_number_base or other conversion utilities. The description provides zero context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. It only states a price ($0.001 USDC via x402) and does not describe whether the tool encrypts, decrypts, requires a key, or any side effects. The agent is left completely in the dark about what invoking this tool does.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than effective conciseness. A single sentence that only names the tool and its price does not earn its place as a useful description; it omits essential information while providing no structural clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (a cipher requiring text and key inputs), the description is completely inadequate. There is no output schema, no parameter documentation, no usage context, and no differentiation from sibling tools. The bare mention of cost is the only meaningful detail.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no tool-specific properties, and the description does not clarify what parameters are expected (e.g., text, key, mode). Schema coverage is effectively zero for actual parameters, and the description adds nothing to compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('vigenere cipher') and categorizes it as an 'Other Utilities tool.' It lacks a verb or resource, giving no indication of what the tool actually does (encrypt/decrypt text with a Vigenere cipher). This is a tautology that fails to distinguish it from sibling cipher tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool or how it differs from alternative cipher tools like caesar_cipher, atbash_cipher, or rot13_cipher. It only mentions a cost, which does not help an agent decide when to invoke it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only mentions a $0.001 USDC cost via x402; it does not state what inputs are required, whether mutations or side effects occur, what the output looks like, rate limits, or failure modes. The cost is a transactional detail, not a behavioral explanation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and free of verbose filler, but the 'Web & SEO tool' label is redundant with the name. The cost sentence is the only substantive information, yet it does not compensate for the lack of functional description. This is under-specification, not effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is complex (web scraping) and lacks both annotations and an output schema. The description fails to provide essential context such as the target URL, scraping method, return value, or limitations. Given the many sibling tools, the description is far too incomplete for an agent to select and invoke this tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema exposes only a generic 'params' object with no defined properties. The description adds no meaning about expected fields, URL formats, selectors, or output options. Although schema coverage is marked as 100%, that coverage is superficial because the sole parameter is an opaque container, and the description does nothing to clarify its contents.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a restatement of the tool's name ('web scrape — Web & SEO tool') and provides no specific verb, resource, or outcome. It does not clarify what 'web scrape' actually does (e.g., extract content from a URL, scrape links, or return HTML). The only additional detail is the price, which does not explain purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus alternatives. The sibling list includes closely related tools like read_url, crawl_website, get_og_metadata, and scrape_meta_tags, but the description does not differentiate web_scrape from these or specify scenarios where one is preferred. The only operational note is the cost, not usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full burden of disclosing behavior. The only disclosed trait is the $0.001 USDC cost; nothing about what the tool does, what inputs it expects, whether it mutates state, or what it returns. This leaves the agent completely in the dark.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief (one sentence), which is structurally concise, but it is under-specified to the point of uselessness. Conciseness is not a virtue when no substantive information is conveyed.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of output schema, annotations, and any real parameter detail, the description is starkly incomplete. An agent has no way to know what this tool does, how to invoke it, or what to expect from it. It is not merely incomplete—it is nearly nonexistent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single 'params' object described only as 'Tool parameters as JSON object'—a generic placeholder. The description adds no meaning about what parameters are expected or how they map to behavior. Despite high schema coverage, the schema itself is uninformative, and the description does not compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the name 'work calc' and adds the generic label 'Other Utilities tool.' No specific verb or resource is mentioned, so an agent cannot tell what the tool actually computes or provides. It is essentially a tautology with no functional distinction.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or why it might be preferred over alternatives. Among dozens of sibling calculator and utility tools, no context or selection criteria are given. This is a total absence of usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden for behavioral disclosure, but it only mentions the cost ($0.001 USDC via x402). It does not state whether the tool is read-only, whether it sends data externally, what side effects occur, or what latency/limits exist. The cost disclosure is a small positive but not enough to understand the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, but the first phrase is just a restatement of the name. The cost sentence is the only concrete information. This is under-specification rather than effective conciseness, as there is no structure or substance to guide the agent.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, no output schema, and the highly simplistic description, the tool is essentially undefined. The agent cannot infer return values, error cases, or required inputs. The tool complexity is unknown but likely non-trivial, and this description is far from complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is a generic wrapper with a single 'params' object and no specific fields. The description adds no parameter meaning, so the agent has no idea what arguments to pass. Even though schema coverage is marked at 100%, that coverage is only for the generic container, not for actual parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only repeats the tool name ('analyze tone') without explaining what analyzing tone means, what type of input it accepts, or what kind of result it produces. It is a tautology that does not distinguish this tool from many similar text-analysis siblings like sentiment or classify.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool or when to choose an alternative. Among siblings there are deep-analysis tools (sentiment, classify, summarize) but the description offers no comparison or exclusion criteria, leaving the agent to guess.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description does disclose the cost ($0.001 USDC via x402), which is a behavioral trait, but with no annotations provided, the description must bear the full burden of transparency. It fails to disclose supported units, conversion behavior, expected input structure, or output format, making it insufficient for a tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but this is under-specification rather than efficient conciseness. It contains only a restatement of the name and a cost note; no functional information is included, making the brevity detrimental.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no annotations, no output schema, and a generic input schema. The description fails to explain even the most basic aspects of the tool—what it converts, what parameters to pass, or what the result looks like. This is completely inadequate for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object described as 'Tool parameters as JSON object', with no tool-specific properties. The description adds no parameter meaning, so the agent has no idea what fields to provide (e.g., value, from unit, to unit). The schema's 100% coverage is meaningless because it is just a generic placeholder.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'angle convert — Converters tool' is essentially tautological, restating the tool name and providing only a generic category. It does not specify what the tool converts (angle units) or distinguish it from the many sibling converter tools like convert_units or temperature_all.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives. The only additional information is the cost, which does not help an agent decide between angle_convert and other converter tools. With over a hundred sibling converter tools, this is a critical omission.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description only mentions the cost. It does not disclose any behavioral traits such as what inputs it accepts, what output format to expect, or whether it is a read-only operation. The burden is entirely on the description, and it fails.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short (one sentence) but is under-specified rather than concise. It includes a category label and cost, but lacks structuring that helps an agent understand the tool. It reads as a fragment, not a clear definition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the likely complexity of a binary conversion tool (e.g., binary to decimal, text to binary, etc.), the description is severely incomplete. There is no output schema, no annotations, and no parameter detail. The only additional context is the cost, which is not sufficient for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with no specific properties, so schema coverage is 100% for that generic container but provides zero semantic detail about binary conversion parameters. The description does not compensate; it does not mention any parameters or accepted formats.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'binary convert — Text & Encoding tool' which gives a general category but does not specify a concrete verb+resource. It does not distinguish from sibling encoding tools like encode_base64 or convert_number_base, leaving the exact operation ambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The only extra info is the cost, which does not help with selection. No mention of use cases, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the $0.001 USDC cost via x402. Without annotations, the description fails to explain whether the tool performs a read-only operation, what inputs it processes, or any side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short but under-specifies the tool's function. It is not concise in an informative way; it omits essential details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a generic input schema, the description carries the full burden but provides no functional, input, or output details. The tool is indistinguishable from dozens of siblings.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is a generic wrapper (a nested 'params' object) and the description adds no tool-specific parameter information. An agent cannot determine what arguments bracket_match expects.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely repeats the tool name and categorizes it as 'Other Utilities tool' without stating what the tool does. It lacks a specific verb or resource, making the purpose entirely unclear.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool or how it differs from the many sibling utilities. The cost note does not help with selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, and the description does not disclose what the tool does, what inputs it expects, what outputs it returns, or any side effects or requirements. The mention of cost is the only behavioral trait, which is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but the brevity is due to under-specification rather than concise completeness. It lacks necessary content, so the structure does not earn a passing score.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a complex AI classification tool with no annotations, no output schema, and a nearly empty parameter schema. The description fails to provide any practical information about classification categories, input format, or result structure, making it wholly incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with no specific properties. The description adds nothing about what parameters to pass, leaving the agent completely uninformed about how to construct a valid request.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description calls it a 'Content & AI tool' but doesn't specify what classification action it performs. This is barely more than a tautology of the name 'classify' and does not distinguish it from sibling AI tools like summarize or translate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus any alternative. The only extra detail is the cost, which is not usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It mentions a cost ($0.001 USDC via x402), which is a useful behavioral detail, but it does not disclose whether the tool reads or modifies data, what its side effects are, or what the output looks like. This is minimal disclosure well below what is needed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but it is under-specified rather than concise. It front-loads the name and a vague category, then adds a cost. Every sentence is present, but the content is so minimal that it fails to serve a functional purpose. This is not effective conciseness; it is a placeholder.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema, no examples, no description of the tool's behavior or return values. For a tool named code_beautify, the description provides no information about what beautifying entails, what inputs it needs, or what outputs it produces. The description is completely inadequate given the tool's apparent complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has only a generic 'params' object with a placeholder description 'Tool parameters as JSON object'. The tool description adds no information about what keys or values are expected in that object. Schema coverage is technically 100% but the schema itself is meaningless, and the description fails to compensate by explaining the actual parameters required for code beautification.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only states 'code beautify — Other Utilities tool' and a cost. It does not specify what the tool does, such as formatting or beautifying code, nor does it distinguish it from sibling tools like code_stats or code_complexity. The purpose is essentially a restatement of the name plus a category, providing no actual clarity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or when to use alternatives. No mention of appropriate use cases, prerequisites, or relationships to sibling tools. The description is completely silent on usage context, leaving the agent without any orientation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It only mentions the cost via x402, but says nothing about what the tool does, what inputs it expects, what side effects it may have, or what output to expect.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but this is under-specification rather than conciseness. It contains only a name, a category label, and a price, providing no substantial information that would justify its brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a color tool with a generic schema, no output schema, and a large set of sibling tools, this description is completely inadequate. It does not explain what the tool computes or transforms, making it impossible for an agent to invoke it correctly or understand its outputs.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema provides only a generic 'params' object with no property details, and the description adds no parameter information. The description fails to compensate for the schema's lack of semantic guidance, leaving the agent without any clues about required or optional arguments.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description identifies the tool as a 'Colors & Design tool' but never specifies the action or function. It merely restates the tool's name ('color temperature') without a verb or distinguishable resource, failing to differentiate it from the many sibling color tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the numerous other color-related tools. The only additional detail is the cost, which does not help with selection or invocation context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the cost ($0.001 USDC via x402), which is a non-obvious constraint. However, it fails to mention any other behavioral aspects such as whether it is a read-only calculation, what output format is returned, or any limitations. The cost disclosure is a small positive, but transparency is otherwise minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short—one sentence—but this is under-specification rather than effective conciseness. The sentence includes irrelevant cost info but omits essential functional details. Every word should be useful, and here the core purpose is missing.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a financial calculation tool with no output schema and a generic parameter wrapper, the description is severely incomplete. It does not explain how the tool works, what inputs are required, what the result represents, or any example usage. Even with the cost notice, an agent cannot correctly invoke this tool based on the provided information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only defines a generic 'params' object with no specific fields. The description does not compensate by listing expected parameters like principal, interest rate, compounding frequency, or time. It adds zero semantic value beyond the schema, leaving the agent without any clue what to provide.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'compound interest — Finance & Math tool' merely restates the tool name and broad category. There is no verb or explicit statement of what the tool computes, such as calculating compound interest from principal, rate, and time. It does not differentiate from sibling tools like simple_interest_calc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. It does not mention scenarios, prerequisites, or contrast with other financial calculators. The only additional info is a pricing notice, which is not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It only mentions a $0.001 USDC cost, which is a behavioral detail, but omits core behaviors like whether it is read-only, what it returns, how it handles invalid inputs, or any side effects. The tool's safety profile and output behavior are completely undisclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, which is concise, but it suffers from severe under-specification rather than effective brevity. The cost information is present but does not contribute to understanding the tool's function. Key operational details are missing, making it unhelpfully brief.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mathematical tool with no output schema, the description completely fails to explain what the tool returns (e.g., mean, median, standard deviation) or how the input data should be structured. It also lacks any example or further context. This is insufficient for an agent to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single 'params' property described only as 'Tool parameters as JSON object', which provides no useful information. The description does not compensate by explaining what keys or values should be passed, such as an array of numbers. Though schema coverage is 100%, that coverage is meaningless because the description is a placeholder, and the tool description adds nothing to clarify parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'descriptive statistics' essentially restates the tool name with no verb or resource. Adding 'Finance & Math tool' is generic and does not specify what the tool actually does, such as calculating mean, median, or standard deviation. This is closer to a tautology than a clear purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus any alternatives. It does not mention input requirements, expected datasets, or how it differs from other math/finance tools in the sibling list. There is no context for the agent to decide when this tool is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost ($0.001 USDC via x402), which is useful. However, with no annotations provided, the description must carry the full burden of safety information; it says nothing about whether the tool modifies data, requires authentication, or what happens on payment failure. This leaves the side-effect profile largely unknown.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief, but brevity here is under-specification, not conciseness. It omits essential information about purpose and parameters, so the single sentence does not earn its place as a useful guide.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a financial calculation tool with no output schema and no detailed parameter documentation. The description provides zero context about the calculation performed, required inputs, or expected results, making it impossible for an agent to invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only provides a generic 'params' object wrapper, which is meaningless without knowing the actual parameters. The description adds no information about expected inputs like original price or discount rate. Even though schema coverage is reported as 100%, the schema itself is opaque, and the description fails to compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name ('discount calculator') and assigns a broad category ('Finance & Math tool'). It does not specify what the tool computes, such as final price, discount amount, or percentage off. This is a tautology with no functional verb or resource.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the many sibling finance calculators (e.g., percentage_calculator, loan_calculator). No scenarios, prerequisites, or exclusions are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does mention the cost of $0.001 USDC via x402, which is a useful constraint, but it completely omits what the tool actually does or what side effects occur, making this minimal transparency insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but it is under-specified rather than concise. It provides no functional information and is structured as a title and a cost note, not a useful explanation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema, no annotations, and no description of inputs or outputs. For a tool named 'due_date_calc', the description gives no clue about what problem it solves or what data it needs, making it completely inadequate for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema exposes only a generic 'params' object with no specific fields, and the description adds no meaning about what parameters should be provided. The 100% schema coverage applies only to the wrapper object, not to actual parameter definitions, so the description fails to compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'due date calc — Other Utilities tool' merely restates the tool name without stating what the tool does. It lacks a specific verb or resource, and does not distinguish itself from sibling tools like 'date_calc' or 'calculate_age'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool or how it differs from alternatives. The description gives no context for selecting it over other date-related sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries full responsibility. It does disclose the cost and payment mechanism ($0.001 USDC via x402), which is a behavioral trait. However, it omits what the tool does, return behavior, or any operational constraints, leaving major gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but severely under-specified. It is not appropriately sized for the tool's complexity; brevity here sacrifices necessary information. The structure is flat and uses a dash, but the content is inadequate.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no parameter detail, and only a vague 'Converters tool' label, the description is far from complete. It fails to explain the input structure, output format, edge cases, or even the basic conversion functionality.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single 'params' property described only as 'Tool parameters as JSON object', which provides no meaningful semantic detail. The description adds no parameter context, so the agent has no idea what keys or values to supply for an energy conversion.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'energy convert — Converters tool' merely restates the tool name and gives a generic label. It does not specify the action or resource, nor does it distinguish from similar converters like convert_units or speed_convert.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. There is no mention of suitable use cases, exclusions, or differences from sibling converter tools. The only additional info is the cost, which is not usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It does mention a cost of $0.001 USDC via x402, which is a useful transactional detail. However, it does not describe the core behavior—what operations it performs, whether it's read-only, or the expected response format. The cost disclosure is the only behavioral trait, which is insufficient for a tool whose function is entirely undefined. Score 2.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is brief, but this is under-specification rather than effective conciseness. The first sentence repeats the tool name, and the second only covers pricing. Every word should earn its place, but here the words provide negligible value to an agent. Score 2.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, output schema, and the generic input schema, the description needed to explain the tool's functionality, but it does not. It doesn't state supported fraction operations, input format, or return value. Compared to sibling tools, this description is severely incomplete. Score 1.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema contains a single generic 'params' object with the description 'Tool parameters as JSON object', which provides no semantic detail about required inputs like operands or operation type. The description adds nothing about parameters, and although schema coverage is reported as 100%, the schema description is a placeholder. This completely fails to inform the agent about how to invoke the tool. Score 1.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a restatement of the tool name ('fraction calc') and a generic category label ('Other Utilities tool'). It fails to specify what the tool does, such as simplifying fractions or performing arithmetic operations. This is a tautology, so score 1.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the many sibling calculator tools (e.g., evaluate_math, ratio_calc). The description offers no context, prerequisites, or alternatives, leaving the agent to guess application scenarios. Score 1.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only mentions cost ($0.001 USDC) and a vague 'Other Utilities' label, but does not state the operation performed, input requirements, or expected output. The cost detail is useful but does not compensate for the lack of functional behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief, but it wastes its few words on a tautological 'Other Utilities' label. Only the cost sentence provides any useful information. Under-specification is not conciseness; the description should clearly state the tool's function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, no annotations, and a generic parameter schema, so the description must provide complete context. It fails to state even the basic purpose, inputs, or outputs, making it impossible for an agent to invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema contains only a generic 'params' object with no defined properties, and the description adds no details about expected parameters. An agent cannot determine what arguments to supply, such as the numbers for which to compute GCD/LCM.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name and categorizes it as 'Other Utilities', without specifying that it computes greatest common divisor and least common multiple. It is essentially a tautology and fails to distinguish the tool from sibling math utilities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like evaluate_math or fraction_calc. The description entirely omits use cases, prerequisites, or when this tool would be preferred.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It only states the cost and category; it does not describe what operation is performed, what inputs are expected, what the output looks like, or any side effects. This is a complete absence of transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief, but it is under-specified rather than concise. It front-loads the tool name and cost, but lacks a structured breakdown of functionality. The format is not helpful for an agent parsing the information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's conversion task and the presence of many sibling color tools, this description is wholly inadequate. There is no explanation of input format, expected output, or how this differs from similar tools like hex_to_hsv or convert_color. An agent cannot safely invoke this tool based on the provided information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains a single generic 'params' object with no specific properties, and the description provides no parameter details. Although schema description coverage is 100%, it covers only a placeholder container. The description adds no meaning to help an agent understand what parameters to provide.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'hsv to hex — Colors & Design tool' essentially restates the tool name without a clear verb or functional explanation. It doesn't explicitly say 'converts HSV color values to hex format', making it little more than a label. The category 'Colors & Design tool' provides minimal context but no specific functionality.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is absolutely no guidance on when to use this tool vs alternatives. The description mentions only pricing and a broad category, with no mention of use cases, prerequisites, or relationships to sibling color conversion tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully disclose behavior, but it only states the cost. It fails to mention input requirements, output format, error conditions, size limits, or any side effects. This is a critical omission for a conversion tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but wasteful, using its limited space on a vague category name and pricing while omitting all operational details. This is under-specification, not effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of annotations, output schema, and meaningful parameters, the description is severely incomplete. An agent cannot determine how to format inputs, what the output looks like, or how to handle failures, making the tool effectively unusable from this documentation alone.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema exposes only a generic 'params' object with a placeholder description, giving the agent no actual parameter names or formats. The tool description adds nothing about what keys to use (e.g., 'json', 'input'), leaving the invocation entirely ambiguous despite the seemingly '100%' schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('json to xml') and adds a vague category label ('JSON & Data tool'). It lacks an explicit verb like 'converts' and does nothing to distinguish this from sibling conversion tools such as json_to_yaml or convert_json_to_csv.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage guidance is provided. The description mentions only the x402 cost, which is irrelevant for deciding when to use this tool versus alternatives. There are no preconditions, exclusions, or pointers to sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a cost ($0.001 USDC via x402), which is a useful behavioral trait. However, with no annotations provided, it fails to explain what the tool does, what inputs it expects, or what outputs it returns.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but the first part is redundant with the tool name. The cost sentence is useful, yet the overall lack of substance is under-specification rather than effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is grossly incomplete. It does not explain the calculation, required parameters, return format, or relationship to sibling tools. An agent would be unable to invoke this tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with no defined properties. The description adds no parameter details, leaving the agent with no idea what data to pass for metabolic age calculation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely repeats the tool name ('metabolic age calc') and assigns it to a generic category ('Other Utilities tool'). No verb or resource indicates what the tool actually does, making it a tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. It does not mention any prerequisites, context, or differentiate from sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses a monetary cost ('Costs $0.001 USDC via x402') but says nothing about whether it reads, writes, mutates, or how it behaves. This minimal cost information is useful but far from sufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is technically a single short line, but it earns its place only by providing the cost. It is under-specified, not appropriately concise: it omits the essential purpose and parameters.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a utility tool with no output schema, no annotations, and a generic parameter placeholder. The description fails to explain even the basic function, making it impossible for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only exposes a generic 'params' object with no specific fields, and the description adds no parameter meaning. The actual inputs for a midpoint calculation (e.g., coordinates) are completely undocumented, so the agent cannot determine how to call this tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name and category ('midpoint calc — Other Utilities tool') without stating what the tool does. No verb or resource is specified, and it doesn't distinguish this utility from the many other calculation tools in the sibling list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool instead of alternatives. It merely indicates it's an 'Other Utilities' tool and mentions the cost, but gives no context for appropriate use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a cost of $0.001 USDC via x402, which is a meaningful behavioral trait not captured in annotations. However, it omits all other behavioral details, such as what inputs are accepted, what side effects occur, or how the cost is incurred. Given no annotations exist, the description carries the full burden and largely fails to describe behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but its brevity is under-specification rather than effective conciseness. The phrase 'Other Utilities tool' is vague filler, and the cost information, while relevant, does not replace a functional explanation. No structural organization or front-loading of key information is present.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's ambiguous name, the generic schema, absent output schema, and vast sibling list, the description is grossly inadequate. It does not explain what conversion is performed, what input format is expected, or what output is produced. This is completely incomplete for an agent to select and invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with no inner properties, so the description must clarify parameters. It does not mention any parameter names, types, or meanings. The 100% schema coverage is misleading because the schema itself is empty of semantic detail, and the description adds no compensation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('pixel convert') and labels it 'Other Utilities tool,' providing no verb or resource to indicate what the tool actually does. It fails to distinguish from similar sibling tools like 'convert_color' or 'hex_to_hsl'. There is no actionable statement of purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool or when to prefer alternatives. The description does not mention scenarios, prerequisites, or exclusions relative to the many sibling tools. It provides zero usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It does mention a cost of $0.001 USDC via x402, which is a useful side-effect disclosure. However, it says nothing about how the tool behaves—what inputs it accepts, what it returns, or whether it has any side effects beyond the payment. The category label 'Other Utilities tool' is not behaviorally informative.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than conciseness. It conveys only a name and a cost, with no structured explanation. While it is not verbose, it fails to earn its place by omitting essential operational details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema, no annotations, and a completely generic input schema, the description must provide substantial context. It provides almost none—neither the domain of calculation, the parameters, nor the result format. This is critically insufficient for an agent to select and invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only defines a generic 'params' object with no specific properties or meaningful description. The tool description adds no parameter semantics—it does not hint what keys or values are expected inside 'params'. Despite 100% schema coverage, that coverage is vacuous because the single parameter is an opaque wrapper.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description simply restates the tool name ('pressure calc') and adds a generic category label ('Other Utilities tool'). It lacks a specific verb and resource, providing no indication of what the tool actually calculates (e.g., fluid pressure, force/area). No differentiation from siblings is offered.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No context is given for when to use this tool versus alternatives. It does not mention, for instance, the sibling 'pressure_convert' for unit conversion, nor any prerequisites or typical use cases. The only additional info is the cost, which is not usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations available, the description must carry the full burden of explaining behavior. It only mentions a cost and a broad category, but does not describe the result, any side effects, or required inputs. The cost hint is not enough to understand the tool's operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but this is under-specification rather than intentional conciseness. The first clause restates the tool name without adding information, and the rest does not provide useful operational guidance, so the brevity is not effective.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the vague schema, the absence of an output schema, and a long list of sibling math/finance tools, this description is entirely insufficient. It lacks enough information for an agent to select the tool, construct a valid request, or understand the response.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema provides only a generic 'params' object with no underlying structure, and the description adds no details about expected keys or values. The agent cannot determine what to pass to the tool, and the description fails to compensate for the schema's lack of specificity.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens by restating the tool name ('pythagorean calc') and then labels it as a 'Finance & Math tool,' which is a vague category rather than a specific function. It fails to mention that the tool computes the Pythagorean theorem or calculate a hypotenuse/distance, and does not distinguish it from the many sibling math and finance calculators.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no information about when to use this tool or when to prefer an alternative. The only extra detail is a cost, which does not provide usage context or decision guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must carry the full burden. It does disclose a behavioral trait: the cost of $0.001 USDC via x402, indicating a paid action. However, it does not explain what the tool does, side effects, or authentication requirements, leaving most behavior undisclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence and short, but it is under-specified rather than concise. It spends characters on 'Content & AI tool' which adds little value, while omitting crucial operational details. It is not appropriately sized to cover the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, no annotation safety profile, and a nearly empty input schema. The description fails to explain what the tool does, what inputs it expects, or what outputs it generates, making it completely inadequate for safe invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object, providing no meaningful parameter details. The description adds nothing about what parameters should be passed inside that object, so it does not compensate for the schema's lack of semantic content.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is extremely vague: 'Content & AI tool' does not state what the tool does with questions. There is no verb or resource, and it fails to distinguish itself from the many sibling tools. This is essentially a tautology of the tool name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description only notes the cost, with no mention of use cases, prerequisites, or scenarios where this tool is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description does disclose one concrete behavioral trait: it costs $0.001 USDC via x402, which is relevant for an agent deciding whether to invoke the tool. However, without annotations, the description carries the full burden of behavioral disclosure, and it omits entirely what the tool does, its side effects, or its requirements, leaving the agent largely in the dark.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than conciseness. The cost sentence is clear and useful, but the functional description is a vague phrase with no actionable structure, so the description does not effectively earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a generic params schema, the description should provide comprehensive context, but it barely does. It offers no information about the tool's purpose, behavior, or expected inputs, making it critically incomplete for an agent to use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains a single generic 'params' object described only as 'Tool parameters as JSON object', and the tool description adds no further meaning. The agent has no understanding of what properties to include, what structure is expected, or how parameters relate to behavior.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Content & AI tool' provides no specific verb, action, or resource that defines what the tool does. It merely labels the tool with a broad category and fails to distinguish it from numerous sibling AI/content tools such as summarize, paraphrase, or translate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives. The only additional information is a cost note, which does not help an agent decide between quiz and other tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost ('Costs $0.001 USDC via x402'). With no annotations, the description fails to explain what the tool does, what inputs it expects, or what it returns, leaving the agent to guess.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but it is under-specified, not concise. It offers no actionable information beyond cost.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a text-analysis tool with no output schema and a vague generic parameter wrapper, this description is inadequate. The agent cannot infer how to invoke the tool or interpret results.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains a single generic 'params' object with no inner structure, and the description does not clarify what parameters are needed. This provides essentially no semantic guidance.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'repeated words — Other Utilities tool' merely restates the tool name and assigns a category. It does not specify a verb or resource, e.g., 'Find repeated words in a given text.' No distinct function is described, making it indistinguishable from many text-analysis siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like word_frequency or unique_words. The description omits any context, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must explain behavior. It does not mention what happens to input text, whether it encodes or decodes, handles case, or supports non-ASCII characters. The cost mention is the only behavioral-ish detail, but it is unrelated to the tool's operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is technically short, but it is under-specified rather than concise. It contains one sentence with a label and a cost note, neither of which helps an agent use the tool. It lacks the essential functional summary that should be front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool, a one-liner could suffice, but this one does not even say 'applies ROT13 to a string.' With no output schema and a generic input schema, the description leaves the agent completely in the dark about what to pass and what to expect. It is severely incomplete even accounting for the sibling context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single generic 'params' object with no specific property descriptions. The description adds no explanation of what parameters the tool expects (e.g., 'text' or 'input'). Schema coverage is 100% for the top-level param, but that param is a generic catch-all; the description should compensate, but it does not.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely states 'rot13 cipher' which essentially repeats the tool name, and labels it 'Other Utilities tool.' It does not state what the tool does (e.g., applies ROT13 rotation to text) and does not distinguish it from sibling ciphers like caesar_cipher or atbash_cipher. This is a vague purpose at best.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or why it might be preferred over other cipher tools. No use cases, exclusions, or alternatives are mentioned. The description is purely a label with cost info.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden for behavioral disclosure, but it only states 'Costs $0.001 USDC via x402'. It does not disclose what the tool does with inputs, whether it has side effects, or what it returns. The cost note is a minimal behavioral trait, but it is insufficient for understanding the tool's operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded with the name, so it is concise in length. However, it suffers from under-specification: it omits essential functional details, and the sentence about cost does not contribute to understanding the tool's purpose or usage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This tool has a generic params schema, no output schema, and no annotations, making the description the sole source of guidance. The description only provides a category label and a price, leaving the agent with no idea what inputs to provide, what to expect back, or how this tool fits among similar finance tools. It is completely inadequate for a tool that presumably requires structured input.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema merely has a generic 'params' object described as 'Tool parameters as JSON object', which provides no specific parameter names or structure. The description offers no additional parameter semantics, so an agent cannot determine what information is needed for a salary breakdown. The description fails to compensate for the schema's lack of detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely repeats the tool name 'salary breakdown' and labels it as 'Finance & Math tool', which is a broad category. There is no specific verb or resource indicating what the tool actually does, and it does not distinguish itself from the many other finance tools in the sibling list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool or when to use an alternative. No context, exclusions, or prerequisites are mentioned, leaving the agent with no basis to select this tool over other finance-related siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost ($0.001 USDC via x402), which is a behavioral trait. However, it gives no information about side effects, whether the operation is read-only, what happens to input data, or any other behavioral details. Given no annotations, this is minimal disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but under-specified. It consists of a name repetition and a cost note, lacking any structural elements like parameter details or examples. This is not conciseness; it is insufficiency.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the generic schema, lack of annotations, and no output schema, the description is severely incomplete. It does not explain what the tool does, how to invoke it, what inputs are required, or what output to expect. Given the large sibling set and the tool's potential complexity, this is wholly inadequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with an unhelpful description, and the tool description adds no parameter information. The description does not clarify what parameters are needed, what data types are expected, or how the sorting is configured. The high schema coverage does not compensate because the existing schema description is vacuous.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description simply repeats the tool name 'sort data' without specifying what data, what sorting algorithm, or what kind of input is expected. It adds only a category label and cost, making it effectively tautological and not distinguishing it from other text manipulation tools in the sibling list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. No mention of prerequisites, use cases, or which sibling tools might be preferred for similar tasks. The description provides no context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does reveal the monetary cost ($0.001 USDC via x402), which is a behavioral trait, but it omits what the tool computes, side effects, or return format. This is minimal transparency at best.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but under-specified. The single sentence contains only category and cost, which is not 'conciseness' but 'scarcity'. It does not front-load any functional information, so it fails to earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's name suggests a measurable concept (speaking time), the absence of an output schema, real annotations, or any explanation of inputs/outputs makes this completely inadequate. The description does not help the agent understand what the tool does or when to use it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema defines a single generic 'params' object with no specific properties, and the schema_description_coverage is misleadingly 100% because it only describes the generic wrapper. The description adds no meaning about what parameters should be passed, leaving the agent completely without guidance.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only states the tool name and category ('Other Utilities tool') plus cost, but does not specify any verb or resource. It fails to state what 'speaking time' actually does, making it nearly a tautology. It also does not distinguish itself from siblings like 'reading_time'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no indication of when to use this tool vs alternatives. No context, prerequisites, or exclusions are provided. The only extra info is cost, which is not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not state whether the tool is read-only, what inputs it expects, what it returns, or any side effects. The cost note is not a behavioral trait.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but it is under-specified rather than concise. It omits essential information about what the tool does and how to use it, so the brevity is not efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, and a vague schema, the description should explain the tool's behavior and return values. It does not, leaving the agent with no idea what 'text diff' returns or how to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with a placeholder description, and the tool description adds nothing about parameter names, types, or meanings. Although schema coverage is formally 100%, the description is uninformative and fails to compensate for the lack of real parameter documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is 'text diff — Other Utilities tool. Costs $0.001 USDC via x402.' It merely restates the tool name 'text diff' and adds a category and price, without indicating what the tool actually does (e.g., comparing two texts). This is essentially a tautology, so it scores low on purpose clarity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the many sibling text utilities. The description does not mention any alternatives, prerequisites, or use cases. The only additional information is cost, which is not usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose any behavioral traits such as input/output format, side effects, required permissions, or error behavior. The only extra detail is the cost, which is not behavioral.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, consisting of two short sentences. However, the first sentence is redundant with the tool name, and the second provides only cost information. It is not structured to prioritize functional clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema or annotations, and the description gives no information about what the text_stats tool does, its input/output structure, or how it fits among the many sibling utilities. The context is almost entirely absent, making the tool impossible to select or invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with a generic description 'Tool parameters as JSON object', providing no meaningful parameter semantics. The tool description fails to add any detail about what parameters are expected or how they affect the operation, so the 100% schema coverage does not compensate for this lack.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'text stats' merely restates the tool name and categorizes it as 'Other Utilities tool', providing no verb or resource to indicate what the tool actually does. It does not differentiate this tool from numerous text-related siblings like word_count or char_count.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description offers no guidance on when to use this tool versus alternatives. It only mentions cost and category, without stating any specific use case, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost '$0.001 USDC via x402.' No other details about output, conversion scope, or side effects are provided. The description carries the full burden since no annotations exist, and it underdelivers.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise but the first part ('time convert — Converters tool') is redundant with the name and wastes a sentence. The cost sentence is useful but cannot compensate for the overall lack of substantive content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and an opaque parameter structure, the description is grossly insufficient. The cost info is nice but does not enable an agent to correctly use the tool or understand its behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a generic 'params' JSON object with no meaningful description, and the description adds zero information about required fields or structure. The agent is left completely in the dark about how to invoke the tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('time convert') and labels it 'Converters tool' with no specification of what time conversions it performs. It fails to distinguish itself from the many other converter tools in the sibling list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. With numerous converter siblings, more context is needed but entirely absent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost ($0.001 USDC via x402), which is valuable. However, with no annotations and no other context, the description fails to disclose whether the tool performs network lookups, what side effects exist, or what the response looks like.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than effective conciseness. It lacks structure, headings, or any meaningful content beyond the cost note.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With many sibling tools and no output schema, the description is severely incomplete. It provides no information about return values, required parameters, or operational behavior. The agent cannot confidently select or invoke this tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a generic 'params' object with no specific fields. The description adds zero parameter information. Despite 'schema coverage 100%', the coverage is superficial because it only describes the wrapper, not the actual parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'validate email — Other Utilities tool' merely restates the tool name in a generic category. It does not specify what validation entails (syntax, deliverability, MX record) or distinguish it from the sibling verify_email.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus verify_email or email_domain_check. There are no alternative tools mentioned, no exclusions, and no context about use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost ('Costs $0.001 USDC via x402'). There is no mention of what the tool does, whether it's read-only, or what side effects occur. With no annotations, the description fails to disclose any functional behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but it's under-specified rather than concise. It wastes one of two sentences on a generic category label, and the remaining sentence only provides pricing info. It doesn't earn its place with functional content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a generic parameter schema, the description bears the full burden of explaining inputs, outputs, and behavior. It fails to explain anything about the tool's function, making it impossible for an agent to select or correctly invoke this tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema contains only a generic 'params' object that is not tool-specific. The description adds no information about what keys or values should be passed. Despite high schema coverage, the coverage is meaningless because it describes a catch-all container.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name ('whitespace analyze') and labels it generically as 'Other Utilities tool,' without indicating that it analyzes whitespace in text or what it returns. This is a tautology, not a functional explanation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus siblings like clean_whitespace or normalize_text. It doesn't mention input requirements or intended use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full behavioral disclosure burden. It does mention the cost of $0.001 USDC via x402, which is a unique transparent detail, but it does not disclose whether the tool is read-only, mutates state, requires authentication, or what side effects exist. The core behavior is completely undefined.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise (one sentence) and front-loaded with the name, but it sacrifices all informative content. There is no redundancy, but the sentence does not earn its place because it only restates the name and adds a cost annotation that is likely already available via x402 metadata.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, no annotations, and a generic parameter container. The description fails to explain what the tool computes, what inputs are expected, or what the output looks like. For a calculator tool with potentially many numeric inputs, this is completely inadequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single 'params' object with a generic description ('Tool parameters as JSON object') that provides no domain-specific meaning. The tool description does not explain what keys or values should be passed for force_calc, making it impossible for an agent to construct a valid request. The 100% schema coverage is misleading because the coverage is just a placeholder.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('force calc') and labels it as an 'Other Utilities tool' without specifying what it actually does. There is no verb or resource describing the operation, and it fails to distinguish this from the many sibling calculator tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like gravitational_force_calc or other physics calculators. No context, prerequisites, or exclusions are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It does disclose a cost and payment method ($0.001 USDC via x402), which is useful, but it says nothing about side effects, input requirements, or output behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not meaningfully concise. 'calculate age' is redundant, 'Other Utilities tool' adds no value, and only the cost sentence is informative. The structure is fragmented.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations and no output schema, the description is severely inadequate. It fails to explain what inputs are required, what the output represents, or any edge cases. An agent cannot reliably invoke this tool based on the provided description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only has a generic 'params' object with no specific fields, and the description does not clarify what parameters (e.g., birthdate) are needed. Despite high schema coverage, the schema provides no real semantic help, and the description adds none.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a tautology: 'calculate age' repeats the tool name without specifying what kind of age, what input is expected, or what output is produced. 'Other Utilities tool' is a generic category label, not a purpose statement.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives like domain_age or fitness_age_calc. No context, prerequisites, or exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full burden of behavioral disclosure. It only mentions cost and category, with no mention of network calls, input expectations, or output structure, providing essentially no behavioral transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short but under-specified; it does not efficiently cover necessary information. It consists of a restated name and a cost note, failing to use the space to convey tool functionality.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema, and the description provides only a title-like phrase and a price. An agent cannot determine how to invoke the tool, what arguments to provide, or what results to expect, making it contextually incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema's only parameter is a generic 'params' object with a placeholder description ('Tool parameters as JSON object'), giving no real meaning about required inputs. The description does not compensate by mentioning expected inputs like a domain name or URL, making parameter semantics effectively absent.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name verbatim ('check ssl certificate') and adds only a generic category label ('Security & Network tool'). It doesn't specify what the tool actually does (e.g., validity, expiry, issuer) or distinguish it from sibling tools like ssl_chain_check.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description never mentions context, prerequisites, or exclusions, leaving the agent without any selection rationale.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does transparently disclose the cost ('$0.001 USDC via x402'), which is a behavioral trait not in the schema. However, it fails to disclose what the tool actually does on execution, whether it's read-only, or any side effects, leaving critical behavioral aspects unknown.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
One sentence is appropriately short, but it contains mostly redundant information ('code stats — Other Utilities tool') and only one useful fact about cost. Since front-loading is absent and the sentence doesn't earn its place beyond the cost note, it's under-specified rather than concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no parameter details, and a generic category label, the description is wholly inadequate for an agent to invoke this tool effectively. Given the large sibling set and complete lack of behavioral or usage context, this is far below minimum viability.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema defines a single generic 'params' object with only 'Tool parameters as JSON object' as its description, which provides no meaningful semantics about the actual tool parameters. The description adds no information about keys, types, or expected input, and with nested objects present, the real parameters remain completely undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely repeats the name 'code stats' and categorizes it as an 'Other Utilities tool,' providing no verb or resource that states what the tool does. It doesn't distinguish it from siblings like code_complexity or text_stats, and is essentially a tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. With over 250 sibling tools, the description offers no context for when to select code_stats instead of other utilities, nor any exclusions or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must carry the full burden of behavioral disclosure. It only mentions a $0.001 USDC cost via x402, but does not disclose input expectations, output format, side effects, statelessness, or any rate limits. This is far from sufficient for a tool that charges money.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than conciseness. It conveys only a category and a cost, omitting essential information about the tool's operation. It is not well-structured for guiding an agent.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with a generic schema, no output schema, and many closely related sibling tools, the description is completely inadequate. It fails to explain what 'convert case' means, what the agent should provide, what it returns, or how it differs from the many text transformation siblings.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema describes a single 'params' object with a generic description 'Tool parameters as JSON object', which provides no insight into actual required or optional fields. Although schema coverage is technically 100%, the description does not compensate for the lack of tool-specific parameter details, leaving the agent guessing about what to pass.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'convert case' simply restates the tool name without adding specific meaning. It labels itself as a 'Text & Encoding tool' but fails to specify what kinds of case conversion it performs or how it differs from sibling tools like title_case, invert_case, or swap_case.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. No context about preferred use cases, prerequisites, or exclusions is provided. The only additional information is the cost, which is not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost ($0.001 USDC via x402), which is a useful operational detail. However, with no annotations provided, it fails to disclose what inputs are expected, what outputs are returned, or any other behavioral traits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded with the tool name, but the content is vague and misleading. It earns a 4 for compactness, though the misinformation undercuts its value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Without an output schema, annotations, or meaningful parameter information, the description is grossly incomplete. It does not clarify the tool's core function or differentiate it from related siblings, making it nearly useless for an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' JSON object with no meaningful field descriptions. The description does not compensate by explaining required or optional parameters, leaving the agent completely in the dark about what to pass.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description calls geocode a 'Data & Weather tool', which is misleading and fails to state its actual purpose of converting addresses to coordinates. It does not distinguish it from siblings like reverse_geocode or geolocate_ip, and the name alone carries the meaning.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool vs alternatives such as reverse_geocode or get_weather. The 'Data & Weather' categorization is actively misleading, offering no useful context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, yet it only mentions pricing ($0.001 USDC via x402) and nothing else. It does not indicate whether the operation is read-only, what inputs are expected, what outputs are produced, or any side effects or requirements. There is no contradiction with annotations because none exist.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short but not effectively concise; the first sentence merely repeats the name and category, and only the pricing note provides any concrete detail. It is under-specified rather than appropriately sized, failing to serve the purpose of a tool description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description completely omits what geometry formulas are supported, what the 'params' object should contain, and what the output looks like. With no output schema or annotations, there is no usable information for an agent to invoke this tool correctly, making it entirely incomplete despite the large sibling list.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has only a generic 'params' object described as 'Tool parameters as JSON object', which gives no clue about what shape or dimension keys to pass. Although schema description coverage is 100%, the description is superficial and the tool description adds nothing about parameters, leaving the agent unable to construct a valid request.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name ('geometry calc') and categorizes it as 'Other Utilities tool', but does not state what geometric computations it performs or how it differs from the many sibling utility and calculator tools. It is essentially a tautology, providing no functional purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, no recommended use cases, no context for selection, and no mention of what geometry problems it solves. An agent cannot determine if this is appropriate for calculating area, volume, or anything geometry-related.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does mention the cost ($0.001 USDC via x402), which is a useful operational detail, but it fails to describe the core behavior, expected input, or output format.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but this is under-specification rather than effective conciseness. It communicates only the name and cost, omitting essential functional details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema and minimal annotations, so the description must be thorough to be useful. It is completely inadequate for an agent to understand how to select and invoke this tool, lacking information about inputs, outputs, and behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with no specific fields documented. The description does not compensate for this by explaining what parameters the tool expects (e.g., text to analyze, options).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('gibberish detect') and categorizes it as 'Other Utilities tool,' without specifying what the tool actually does, how it works, or what it returns. It fails to distinguish the tool from any other utility in the sibling list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like detect_language or text_stats. The description provides no context about its intended use case or limitations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, but it only discloses the cost and payment method ($0.001 USDC via x402). It does not explain the tool's actual behavior, return values, side effects, or any operational characteristics.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but this is under-specification rather than conciseness. It front-loads the tool name and category but omits essential functional details, so the brevity does not aid understanding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, output schema, and any actual behavioral description, the tool's purpose, inputs, and outputs are entirely unclear. The only complete information is the cost, which is not enough to make the tool usable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema contains a single generic 'params' object with no tool-specific keys or descriptions. Although schema description coverage is 100%, the description adds no parameter semantics, leaving the actual inputs for keyboard_layout completely unspecified.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely repeats the tool name ('keyboard layout') and labels it as 'Other Utilities tool' without stating a specific action or function. There is no verb describing what the tool does, and it does not distinguish from sibling utility tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool, when not to use it, or which alternatives might be more appropriate. The only context is the generic 'Other Utilities' category and cost information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It only mentions the cost via x402 and does not state what the tool does, its side effects, return values, or limitations. This is completely uninformative.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Although extremely short, this is under-specification rather than concise utility. The phrases 'nato phonetic' and 'Other Utilities tool' add no substantive value, and the cost note is the only remotely useful detail. No sentence earns its place in conveying the tool's function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is wholly inadequate for an agent to select or invoke the tool. Given the generic input schema and lack of output schema, the description must explain the tool's function, parameters, and behavior, but it fails to do even the most basic job of stating what it does.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object with no specific fields, and the description does not mention any expected keys or formats. The description adds no meaning beyond the schema, which itself is a placeholder, so agents cannot determine what parameters to pass.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('nato phonetic') and labels it as 'Other Utilities tool' without providing a verb or specifying what the tool does. It does not distinguish from sibling tools like 'morse_code' or 'binary_convert', making it essentially a tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description lacks any context, use cases, prerequisites, or exclusions, leaving agents without direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description discloses nothing about the tool's behavior—no input expectations, side effects, or output characteristics. The only extra detail is the cost, which is not behavioral.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not effectively concise—it wastes words on 'Other Utilities tool' while omitting essential details. The cost mention is useful but does not compensate for the lack of content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This tool has no output schema, no annotations, and an unhelpful generic schema. The description does not fill any of these gaps, leaving the agent with almost no information about how to invoke the tool or interpret results.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with no specific properties, and the description adds no information about what parameters should be passed. An agent cannot infer that text is needed or how to structure it.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name ('punctuation count') and adds only a category ('Other Utilities tool'), without explicitly stating that the tool counts punctuation marks in text. This is a tautology rather than a clear statement of purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus any alternative. The description does not mention any conditions, prerequisites, or scenarios where the tool is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, but it only discloses cost ($0.001 USDC). It fails to mention that the tool likely fetches a URL, processes content, or returns a score. No information about network behavior, failures, or side effects is given.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief, but this is under-specification rather than appropriate conciseness. It provides only a category and cost, omitting essential functional details. The structure is a fragment, not a clear explanation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's apparent complexity (fetching and analyzing a URL), the description is severely incomplete. There is no output schema, no parameter details, and no annotations to fall back on. The cost mention is helpful but insufficient for an agent to use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is a generic 'params' object with no defined properties, and the description adds no parameter details. The agent has no way to know what arguments to provide (e.g., the URL). Schema coverage is effectively useless because it contains no structural information.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name ('readability url') and labels it as a 'Web & SEO tool' without stating what it actually does. There is no verb or action, and it doesn't distinguish this tool from siblings like readability_analyze or read_url.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description only mentions pricing, not use cases, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It fails to mention inputs, outputs, calculations performed, or any side effects. The cost note is the only additional behavior revealed, which is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief but under-specified. It contains a name restatement, a vague category, and a cost note, none of which provide functional value. This is not conciseness but rather an absence of useful content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the large set of sibling tools and the absence of an output schema or detailed annotations, the description is far too sparse. It offers no explanation of what the tool does, what parameters are expected, or what the result looks like, making it impossible for an agent to use effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object, and the description does not specify any relevant parameters (e.g., purchase price, rent, interest rate). Even though schema coverage is labeled 100%, the coverage is meaningless because the only parameter is a catch-all object with no semantic detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name ('rent vs buy calc') and categorizes it as 'Other Utilities tool' but provides no explicit verb or explanation of what it calculates. It does not distinguish it from sibling calculators like loan_calculator or mortgage_calculator.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The only extra information is the cost of $0.001 USDC via x402, which is a payment detail, not usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of explaining behavior. It only mentions a cost and generic category, but does not disclose what the tool actually does, whether it is a read-only check, what inputs it expects, or what output to expect.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short but is under-specified rather than concise. It repeats the tool name, adds a vague category, and a cost detail, but lacks any functional information. It is not front-loaded with useful content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Without an output schema or annotations, the description must stand on its own, but it fails entirely. It provides no operational context, input specifications, expected behavior, or output details, making it nearly impossible for an agent to correctly select and invoke this tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with no documented sub-properties. The description does not explain what keys or values should be passed, providing zero additional parameter meaning beyond the schema's placeholder.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name 'ssl chain check' and labels it as a vague 'Security & Network tool'. It does not state a specific action or resource, nor does it distinguish it from the sibling 'check_ssl_certificate'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. Given many related network and security tools in the sibling list, especially 'check_ssl_certificate', the description provides no context for use or exclusion.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full responsibility for disclosing behavior. It only mentions cost, omitting any information about inputs, outputs, side effects, or whether it is a read-only calculation. This is a severe transparency gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but the two sentences do not earn their place: 'Other Utilities tool' is a vague category and the cost line, while factual, is not a substitute for functional information. This is under-specification rather than effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the minimal schema, absent annotations, and lack of output schema, the description should provide substantial context. It does not, leaving the tool's purpose, usage, and behavior almost entirely undefined.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only defines a generic 'params' object with no meaningful property documentation. The description adds zero information about what parameters vat_calc accepts, so the 100% schema coverage is misleading and the tool's actual inputs remain completely unspecified.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name ('vat calc') and labels it 'Other Utilities tool' without stating what it actually does. It fails to mention that it calculates VAT or any specific function, making it nearly tautological.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like validate_vat or other calculation tools. The description lacks any context about appropriate use cases or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full burden of behavioral disclosure. It reveals no details about the transformation performed, input constraints, return format, side effects, or cost behavior beyond a price note. Essentially nothing is disclosed beyond the tool name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than conciseness. While there is no waste, it fails to provide the operational detail needed for a tool invocation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema, no annotations, and the input schema is only a generic params wrapper. The description must fully compensate for these gaps but does not, leaving the agent unable to determine inputs, outputs, or behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema exposes only a generic 'params' object with a generic description of 'Tool parameters as JSON object,' and no tool-specific properties are defined. The description adds zero parameter semantics, leaving the agent without any idea what arguments wrap_text accepts (e.g., text, width, break type).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name ('wrap text') and adds only a broad category label ('Text & Encoding tool'). It doesn't specify what wrapping entails (line width, word wrap, style) or differentiate it from sibling tools like line_wrap, truncate_text, or pad_text.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given for when to use this tool versus alternatives. The only extra context is the fixed cost via x402, which is not a usage cue. Sibling tools like line_wrap could serve a similar purpose, but no comparison or exclusion is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost ($0.001 USDC via x402), which is useful but minimal. With no annotations, the description fails to convey other important traits like required parameters or operational behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not structured or informative. It borders on under-specification rather than concise precision, omitting essential details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With a generic schema, no output schema, and no annotations, the description is far too sparse to support correct tool selection and invocation. It lacks parameter guidance, usage context, and operational details.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single generic 'params' object with no defined properties. The description says nothing about what fields are needed (e.g., value, from_unit, to_unit), leaving the agent without any invocation details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name ('area convert') and adds the generic category 'Converters tool.' It implies area conversion but does not state a clear verb+resource action, making it mostly tautological.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the many sibling conversion tools (e.g., convert_units, convert_currency). No context or exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It only mentions cost ($0.001 USDC via x402), which is a useful operational detail, but says nothing about whether the operation is read-only, what calculations are performed, what outputs are returned, or any required permissions. Minimal disclosure beyond the name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short (one line), but this is under-specification rather than conciseness. It omits critical information about inputs, outputs, and usage context. While it is front-loaded with the name and a category, it fails to meaningfully describe the tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with a generic schema, no output schema, and many health-related siblings, the description is severely incomplete. It does not explain what body surface area means, how it's calculated, what inputs are needed, or what the user will receive. The agent is left without enough context to select or use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema defines a single generic 'params' object with no tool-specific properties, and the description provides zero information about what parameters are expected (e.g., height, weight, units). Schema description coverage is effectively useless since the only property is a catch-all JSON object. The agent cannot determine what to pass.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially restating the tool name ('body surface area') with a vague domain label ('Health & Fitness tool'). It lacks a specific verb like 'calculate' or 'estimate', and does not distinguish itself from other health/fitness tools in the sibling list (e.g., calculate_bmi, bmr_calc).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool or what inputs are required. There is no mention of prerequisites, alternatives, or exclusions, so the agent has no idea how to invoke it correctly.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full burden. It adds the cost ($0.001 USDC via x402) as a behavioral trait, but nothing about how the calculation works, required inputs, network calls, or return behavior. The cost disclosure is useful but the rest is opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but it is under-specified rather than concise: one sentence that fails to explain purpose or usage. The cost info is useful, but the rest is filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a financial calculation tool with a generic schema, no output schema, and no annotations, the description is sorely incomplete. It leaves the agent guessing about inputs, outputs, and calculation type. Only the cost is disclosed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single generic 'params' object described as 'Tool parameters as JSON object', which is tautological and unhelpful. The description adds no parameter semantics, so an agent has no idea what properties to supply for a bond yield calculation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description restates the tool name ('bond yield') and labels it as 'Finance & Math tool', but provides no verb or specific action. It does not distinguish from sibling financial calculators such as loan_calculator or compound_interest.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use bond_yield versus alternatives, no exclusions, and no context about appropriate use cases. The cost note is not usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the cost of $0.001 USDC via x402, but does not disclose what the tool does, what inputs are required, or what output to expect. This is a significant gap for a health/fitness calculation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, which is not conciseness but under-specification. The text 'calorie burn' largely restates the tool name and provides no substantive details, making the description of little use.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a health/fitness tool that likely requires multiple inputs and produces a meaningful numeric output, the description is severely incomplete. It lacks any mention of inputs, outputs, or how it relates to sibling tools, and there is no output schema to fill the gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a generic 'params' object with a description of 'Tool parameters as JSON object'. The description does not compensate by explaining the actual parameters (e.g., weight, duration, activity) or their format. This adds no meaningful semantic value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description identifies the tool as 'calorie burn — Health & Fitness tool' but lacks a verb or specific action. It does not clearly state what the tool does (e.g., calculates, estimates) and fails to distinguish it from sibling health tools like bmr_calc or tdee_calc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or when to choose alternatives. It only mentions cost and category, providing no contextual basis for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full behavioral burden. It discloses a monetary cost ($0.001 USDC via x402) but gives no indication of what actions are performed, what inputs are required, or what outputs can be expected.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but it is under-specified rather than concise. It consists of two sentence fragments that fail to convey the tool's core function, and the cost mention does not compensate for the absence of essential information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema and no annotations, the description is completely inadequate. It does not explain what CDN detection entails, how it relates to other security/network tools, or what value it provides, leaving a critical gap for an agent to use it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no tool-specific fields. The description does not clarify what parameters should be passed, leaving the agent with no semantic guidance beyond the schema's generic 'Tool parameters as JSON object.'
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Security & Network tool' only assigns a broad category and does not state what the tool actually does. The name 'cdn_detect' hints at CDN detection, but the description lacks a specific verb and resource, and does not distinguish it from sibling tools like dns_lookup or port_check.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool, what problem it solves, or when to prefer an alternative. The description provides no context for selection among the many network/security siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are absent, so the description carries full behavioral disclosure burden. It does mention the cost via x402, which is useful, but it never explains what the tool does, what kind of network interaction occurs, or what the output looks like.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but this is under-specification rather than conciseness. It omits critical information and does not earn its place beyond the cost note.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, no annotations, and a generic parameter container, the description should provide substantial guidance but does not. It is nearly useless for an agent to select or invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with a placeholder description. The tool description does not list any specific parameters, so an agent has no idea what keys to provide (e.g., URL, list of links, timeout).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description repeats the tool name ('check links') and adds a broad category label ('Security & Network tool'), but does not specify what 'checking links' actually does. It does not distinguish itself from siblings like dns_lookup or check_ssl_certificate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives. It does not mention any use cases, prerequisites, or related tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description must carry the full burden of behavioral disclosure. It does add the cost trait ($0.001 USDC via x402), which is useful, but it entirely omits the core behavior (how mixing works, side effects, required inputs, or return format). The core operation remains opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short (a single sentence with two fragments) and is not appropriately sized for the tool's complexity. While there is no fluff, it is under-specified, providing only a category label and a cost note.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of annotations, an output schema, and any parameter details, the description is severely incomplete. It does not explain what color mixing means, what inputs are expected, what output the agent should expect, or any example use. It is inadequate for a tool in a large family of color utilities.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema exposes only a generic 'params' object with no defined properties or descriptions. The description adds no parameter information, failing to compensate for the schema's emptiness. An agent has no idea what parameters to pass (e.g., color values, mode).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'color mix — Colors & Design tool', which indicates the domain but does not explicitly state the tool's function (e.g., mixing two colors, generating blends). It is a label rather than a specific verb+resource statement and does not distinguish it from the many other color-related sibling tools like 'convert_color' or 'rgb_to_hsl'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of scenarios, input requirements, or how it compares to other color tools. The description offers no context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses cost ($0.001 USDC via x402), which is a useful behavioral trait given no annotations. However, it says nothing about how the tool operates, what inputs it expects, whether it is read-only, or what output format it returns. Significant gaps remain.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than effective conciseness. It contains a title, a category, and a cost note—none of which explain the tool's behavior. Every word does not earn its place because it conveys minimal actionable information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool appears among many color-related siblings, but the description provides no information about input, output, or distinct functionality. With no annotations and no output schema, the agent cannot possibly invoke this tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only provides a generic 'params' object with no specific fields or descriptions. The tool description does not mention any parameters, leaving the agent with no idea what to pass for tint/shade generation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name ('color tint shade') and adds a broad category ('Colors & Design tool'), but does not specify what the tool does with tints and shades (e.g., generate, convert, mix). It fails to differentiate from sibling color tools like color_mix or complementary_color.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the many other color tools. The description gives no context for selection, no exclusions, and no mention of alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It does mention the x402 cost of $0.001 USDC, which is a useful non-default trait, but says nothing about side effects, return behavior, or any other operational characteristics. The presence of cost info alone justifies a marginal score of 2.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but under-specified. The two sentences 'distance 2d — Other Utilities tool' and 'Costs $0.001 USDC via x402' do not convey any meaningful information about the tool's purpose or usage. Brevity without substance is not effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool appears to be a simple utility but its description is completely inadequate. There is no information about inputs, outputs, or behavior. Even with a simple tool, the description should at least state what it does; it fails to do so, making the definition severely incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only provides a generic 'params' object with a placeholder description, and the tool description adds no information about the required keys or types. Despite a nominal 100% schema coverage, the coverage is superficial and unhelpful. The description completely fails to explain what parameters to pass.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'distance 2d — Other Utilities tool' essentially restates the tool name and places it in a generic category without specifying the actual operation (e.g., calculating Euclidean distance between two points). No differentiation from siblings like 'calculate_distance' or 'slope_calc' is provided.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description offers no guidance on when to use this tool versus alternatives. It does not state use cases, prerequisites, or scenarios where other tools would be preferred.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a cost and payment method (x402), which is a useful behavioral trait beyond annotations. However, it does not mention what the tool does internally, whether it is a read-only computation, what the return value looks like, or any side effects. Since no annotations are provided, the description carries the full burden and falls short.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but brevity here is under-specification rather than conciseness. It does not front-load an actionable purpose; it wastes the limited text on a category label and cost info, with no core functionality explained. Every word counts, but none of them do the work required.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's domain (dividends) and the absence of an output schema, the description is grossly incomplete. It fails to explain inputs, outputs, or behavior, despite being a financial calculation tool with numerous closely related siblings (e.g., loan_calculator, compound_interest). The agent cannot safely or correctly invoke this tool based on the provided definition.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with no meaningful description, and the tool description offers no hints about required properties (e.g., ticker, dividend amount, price). With 100% schema coverage that is essentially empty, the description fails to compensate, leaving the agent completely in the dark about how to structure inputs.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('dividend calc') and gives a broad category ('Finance & Math tool'). It lacks a specific verb or resource explaining what exactly it calculates (e.g., dividend yield, payout, growth). This does not distinguish it from the many other financial calculators in the sibling list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, no prerequisites, and no examples. The only additional information is the cost ($0.001 USDC via x402), which is a billing detail rather than usage guidance. The agent has no basis to decide when this tool is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses one behavioral trait—the $0.001 USDC cost via x402—but says nothing about how the tool behaves, what data it processes, what outputs it produces, or any limitations. This is minimal and insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than conciseness. While it has no wasted words, it omits essential information needed for understanding and using the tool, making it ineffective despite its brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and an uninformative input schema, the description is completely inadequate. It does not explain what the tool does, what inputs it needs, or what results to expect. It is far from sufficient for the agent to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no specific fields or semantics. The description adds no parameter information, failing to compensate for the schema's lack of detail. The user is left without any clue about what parameters to provide.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'fitness age calc — Health & Fitness tool' essentially restates the tool name without adding a specific verb or resource. It categorizes the tool as Health & Fitness but fails to explain what it actually calculates or does, making it a tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool, what inputs are required, or how it compares to sibling health calculators like calculate_bmi or bmr_calc. The description provides no context for selecting this tool over alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavioral characteristics. It only states the tool is a Text & Encoding tool and costs money. It does not describe what happens to input (e.g., transformation, escaping rules), output format, or any side effects. This is inadequate for an encoding tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, but the first sentence 'html escape — Text & Encoding tool' is largely redundant with the tool name and category. The cost information is useful, but overall the description is under-specified rather than genuinely concise. It earns a middle score for brevity but not for effective content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no annotations, no output schema, and a minimal schema with a generic params object. The description provides only a category label and pricing, leaving out the tool's function, parameter requirements, output, and usage context. This is completely inadequate for an agent to select and invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object with no specific property definitions, so schema description coverage is effectively zero for actual parameters. The description does not mention any parameters (e.g., text to escape), leaving the agent without clues about required input. The name implies text input, but no semantics are provided.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description simply repeats the tool name ('html escape') and adds a generic category ('Text & Encoding tool'), but lacks a specific verb or resource. It does not explicitly state that the tool escapes HTML entities or converts characters to HTML-safe sequences, nor does it distinguish it from similar sibling tools like string_escape or encode_base64.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description only mentions pricing and the category, with no use cases, prerequisites, or exclusions. It fails to help an agent decide between html_escape, string_escape, regex_escape, or url_encode_decode.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It does reveal a key trait: the tool costs $0.001 USDC via x402, which is relevant for the agent. However, it says nothing about the computation behavior, read-only nature, or potential side effects, leaving the tool mostly opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, but it is under-specified rather than concise. It omits essential information about the tool's functionality and inputs. While there is no wasted wording, the brevity undermines usefulness, so it does not earn a high score.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has no output schema, no annotations, and a vague schema, the description is severely incomplete. It does not explain what the investment calculator computes, what arguments to pass, what the result looks like, or how it differs from the many sibling calculation tools. An agent cannot reliably select or invoke this tool based on the provided information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has only a generic 'params' object with the description 'Tool parameters as JSON object', which provides no actual parameter names or meaning. The tool description adds no parameter information at all, so an agent cannot know what keys to include (e.g., principal, rate, time). The nominal 100% schema coverage is misleading because the schema itself is unhelpful.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool's name ('investment calculator') and adds a generic category ('Finance & Math tool'). It does not specify a verb or the specific calculation performed, so it fails to distinguish this from sibling tools like compound_interest, roi_calc, or cagr_calc. This is essentially a tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus alternatives. It does not mention any input requirements, typical use cases, or exclusions. The only additional information is the cost, which is not usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description does disclose a cost ($0.001 USDC via x402), which is a useful behavioral trait. However, it says nothing about return values, input constraints, side effects, or any operational behavior. With no annotations to fall back on, this is a significant gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and free of fluff, but it is under-specified rather than concise. It reads as a label with a cost note, not a structured specification. Every word is necessary but the content is too sparse to be useful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and a schema that lacks actual parameter definitions, the description should carry the full burden of explanation. It fails to do so—omitting input format, output expectations, and any operational context, making it woefully incomplete for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object with no specific properties. The description adds no parameter details, such as expected CIDR notation, IP address, or prefix length. An agent has no idea what to pass.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description repeats the tool name ('ipv4 subnet') and adds a broad category ('Security & Network tool'), but never states what the tool actually does—whether it calculates subnet masks, expands addresses, or performs validation. Many sibling tools also fall under security/network, so it doesn't distinguish the tool's specific function.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives like ipv6_expand, dns_lookup, or whois. No examples or use cases are provided, leaving an agent without context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It does disclose a behavioral trait: the tool costs $0.001 USDC via x402. However, it does not disclose whether the tool is read-only, what data it accesses, whether it has side effects, or what it returns. The cost disclosure alone is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, which is concise, but it is under-specified to the point of being unhelpful. It is a single sentence that combines a vague label with pricing, but no substantive content. This is closer to under-specification than to efficient conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is a paid 'Market Intel' tool with an open-ended params object, no output schema, and many similarly named siblings. The description fails to explain its purpose, inputs, outputs, or relationship to other kronos_* tools, making it completely inadequate for an agent to select and invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with the description 'Tool parameters as JSON object'. This provides no real parameter information. The description adds nothing about what parameters the tool expects, so an AI agent cannot know what to pass. The nominal 100% schema coverage is a tautology and carries no semantic value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'Kronos Market Intel tool' which gives a vague category but no specific verb or resource. It does not explain what the tool actually does, and it closely mirrors the tool name 'kronos_decision' without adding meaningful detail. Sibling tools like kronos_signals, kronos_history, and kronos_forecast are not distinguished.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. No context, prerequisites, or exclusions are mentioned. The only added information is the cost, which is not usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral detail disclosed is the cost ($0.001 USDC via x402), which is useful but minimal. With no annotations, the description carries the burden of explaining what the tool does, but it only gives a vague category. It does not mention any side effects, return values, or operation details.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but the brevity comes from under-specification rather than efficient communication. It reads as a fragmented label, not a well-structured tool description. The cost information is the only substantive addition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's name and the large set of sibling finance/math calculators, this description is grossly inadequate. It does not explain what margin is being calculated, what inputs are needed, or what output to expect. The lack of an output schema and annotations further amplifies the incompleteness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with no specific attributes, and the description provides no explanation of what parameters the margin calculator expects. The schema description 'Tool parameters as JSON object' is a placeholder, so the tool description adds no value in explaining parameter usage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name ('margin calc') and adds a generic category ('Finance & Math tool') without specifying what margin calculation it performs. It fails to distinguish from sibling calculators like loan_calculator or percentage_calculator, making the purpose unclear.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool vs alternatives. It does not state any use cases, prerequisites, or comparisons to other finance/math tools, leaving the agent to guess.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It does disclose the financial cost (via x402), which is useful, but it omits any other behavioral traits, such as side effects, required permissions, error behaviors, or return format.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short but wastes its opening words on a tautology ('matrix operations') and provides only a cost line. This is under-specification, not effective conciseness; the brief format does not make the tool usable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a placeholder input schema, the description is grossly incomplete. It fails to explain the tool's functionality, input/output structure, or any examples, making it impossible for an agent to correctly invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no defined keys and the description adds no parameter details. Even though schema coverage is reported as 100%, the single param is a placeholder that conveys no semantic meaning, so the agent has no idea what inputs matrix_operations expects.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description repeats the tool name ('matrix operations') and adds only a vague category ('Finance & Math tool'). It lacks a specific verb or resource scope and does not differentiate this tool from many math/finance siblings like evaluate_math or loan_calculator.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or when to prefer an alternative. The cost note ($0.001 USDC) does not explain usage scenarios, prerequisites, or conditionality.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full behavioral disclosure burden. It adds the cost requirement ($0.001 USDC via x402) but says nothing about the operation's behavior: what inputs it accepts, whether it triggers payment, what it returns, or whether it is read-only. This is a significant gap for a payment-gated tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is very short, but 'mortgage calculator' repeats the tool name and adds no value. The cost sentence is the only substantive part, so half the description is redundant. The structure is front-loaded, but under-specification outweighs brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a financial calculator with a generic schema and no output schema, this description is severely incomplete. It lacks any explanation of expected parameters, return values, or payment flow. The agent has no way to know how to correctly invoke the tool or interpret results.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with no named properties, and the description adds no meaning. An agent cannot infer that principal, interest rate, and term are likely needed, nor any defaults or units. The schema coverage statistic is 100%, but that refers only to the generic wrapper, not actual parameter semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description labels the tool as a 'mortgage calculator — Finance & Math tool' but never states what it does (e.g., 'calculate monthly mortgage payments'). It restates the tool name and gives a broad category, and without a verb it fails to distinguish from sibling tools like loan_calculator or amortization_calc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The cost note ('Costs $0.001 USDC via x402') is a pricing detail, not a usage guideline. No prerequisites, exclusions, or alternative tool references are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It does disclose that using the tool costs $0.001 USDC via x402, which is useful, but it fails to mention any behavioral traits such as whether the operation is read-only, what it returns, or any prerequisites. The disclosure is minimal and lacks critical behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but its brevity is due to under-specification rather than conciseness. The first sentence merely restates the tool name, adding no value. The cost disclosure is useful but the overall structure lacks any substantive content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and only a generic parameter wrapper, the description fails to provide essential context. It does not explain the input requirements, the normalization process, the output format, or the intended use cases, making it nearly impossible for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only contains a generic 'params' object with no specific property definitions, and the description does not explain any parameters. With zero parameter detail, the description adds no value for understanding how to invoke the tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially repeats the tool name ('normalize text') and adds only a vague category label ('Text & Encoding tool'). It does not specify what kind of normalization is performed (e.g., Unicode, whitespace, case) and provides no distinction from the many sibling text tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool, when not to, or what alternatives exist. The only additional context is the cost, which is not usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost and payment mechanism ('Costs $0.001 USDC via x402'), which is a useful side-effect signal. However, without annotations, it carries the full burden of transparency and fails to mention expected inputs, outputs, or any other behavioral characteristics.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short but not effectively concise. The opening phrase 'pangram check' repeats the tool name, adding no value, and the category 'Other Utilities tool' is vague. The cost sentence is the only substantive part.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is severely incomplete for a tool with no annotations, no output schema, and a generic parameter schema. It does not explain what a pangram is, what input structure is expected, or what the output represents, making it impossible for an agent to invoke correctly without external knowledge.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema provides 100% coverage with a description for the sole parameter ('Tool parameters as JSON object'), which is generic boilerplate. Per the rubric, high schema coverage earns a baseline of 3; however, the description adds no specific parameter semantics, leaving the actual required properties undefined.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'pangram check — Other Utilities tool' merely restates the tool name with a generic category, providing no verb or resource that explains what the tool does. It fails to specify that it checks whether a text is a pangram (contains every letter of the alphabet).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage guidance is provided; the description does not indicate when to use this tool versus alternatives like anagram_check or palindrome_check, nor any scenarios where pangram check would be appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. The only behavioral disclosure is the cost 'Costs $0.001 USDC via x402', which is a payment trait. However, it does not describe what the tool does, what it returns, side effects, or any other behavior. This is minimal transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short but under-specified rather than concise. It uses only a few words without substance, lacking an introductory verb or explanatory clause. Every word should earn its place, but here 'Other Utilities tool' is filler and the cost information is the only non-redundant part.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a reference tool with no output schema and a generic input schema, the description should explain what paper size information is provided, the format of results, and how to use it. The description offers none of this, leaving the agent without enough context to invoke the tool correctly. Even considering the cost disclosure, the description is severely incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single 'params' object described as 'Tool parameters as JSON object', which provides no semantic meaning about what parameters are actually expected. The description adds no clarification on what information should be passed (e.g., paper size name, dimensions). Despite high schema coverage, the schema description is a placeholder, so the description fails to compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'paper size reference' essentially restates the tool name without a specific verb or detailed resource. It mentions 'Other Utilities tool', which is a category, not a distinguishing function. There is no statement of what the tool does with paper sizes, making it a tautology with minimal added meaning.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It only mentions a cost and the generic category, with no mention of use cases, exclusions, or comparisons to sibling tools like convert_units or dns_lookup.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the behavioral transparency burden. It does disclose that the tool costs $0.001 USDC via x402, which is a useful constraint. However, it fails to mention whether the tool is synchronous, what the return format is, or any side effects beyond cost.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and avoids wordiness, but it is under-specified. It reads more like a label than a functional description, making it too sparse to earn a higher score for structure.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This tool has no output schema, no detailed input schema, and no annotations. The description provides only a category and a cost note, leaving the agent without essential information about what the tool computes, how to invoke it, or what results to expect. It is incomplete even for a simple calculator tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is a generic 'params' object with no actual parameter definitions. Although schema coverage is 100%, the description for 'params' ('Tool parameters as JSON object') provides no meaningful semantics. The description also does not explain what parameters should be passed (e.g., old value and new value), so the agent has no idea how to construct a valid request.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name ('percentage change calc') with a broad category label ('Finance & Math tool'). It does not explicitly state what the tool does, such as 'calculates the percent change between two values.' While the name hints at the purpose, the description itself lacks a clear verb+resource statement.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There are many sibling tools, including percentage_calculator and various financial calculators, but the description does not differentiate this tool or offer any selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosure. It does reveal the cost and payment mechanism ('Costs $0.001 USDC via x402'), which is useful, but it omits any behavioral details such as input requirements, conversion logic, or return value.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short but not effectively concise—it under-specifies the tool rather than providing essential usage information in a compact form. The cost note is valuable, but the rest is mostly a repetition of the tool name.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of annotations, output schema, and meaningful parameter schema, the description is severely incomplete. It fails to provide even a basic actionable understanding of how to invoke the conversion or what result to expect.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only exposes a generic 'params' object with no specific properties. The description does not compensate by naming expected fields like value, from_unit, or to_unit, so an agent cannot know what parameters to pass.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'pressure convert — Converters tool,' but it only restates the name and gives a generic category. It does not clearly state what the tool does, e.g., converting pressure values between units, nor does it distinguish itself from siblings like convert_units or pressure_calc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. It never mentions that this is for pressure unit conversion, nor does it contrast with related tools such as convert_units or pressure_calc.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description does disclose a cost of $0.001 USDC via x402, which is a useful behavioral trait, but it says nothing about what the tool computes, side effects, or return behavior. With no annotations to provide a safety profile, the description carries the full burden and falls far short of explaining how the tool behaves.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is minimal but not appropriately focused; it wastes the first phrase on a tautological label and the vague 'Other Utilities tool.' The cost information is useful, but the overall structure is an under-specification that fails to explain the tool's core purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given that there are no annotations, no output schema, and a generic input schema, the description alone is what an agent can rely on. It does not cover what the tool does, what parameters it expects, or what response it returns, making it completely inadequate for an agent to invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is generic (a single 'params' object with no properties), and the description adds no information about required inputs, formats, or examples. The tool name hints that proportions are involved, but the description itself offers zero semantic clarity, leaving the agent unable to construct a valid call.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only repeats the tool name 'proportion calc' and adds the vague category 'Other Utilities tool,' which is essentially a tautology. It does not state a specific verb or resource (e.g., 'Calculate the proportion between two values'), nor does it distinguish this tool from similar siblings like ratio_calc or percentage_calculator.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. Sibling tools include ratio_calc, fraction_calc, and percentage_calculator, but the description never mentions these or any condition that would make proportion_calc the preferred choice.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost ('Costs $0.001 USDC via x402'), which is useful. However, with no annotations, the description carries the burden of explaining what happens on invocation—return format, required inputs, or any side effects—and it provides none. The cost info alone is insufficient for a tool with implicit data exchange.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and unambiguous, but it is under-specified rather than concise. Every word is wasted on a category label and cost, with zero functional detail. For a tool that likely requires structured parameters and returns a complex result, this brevity is a deficiency, not a virtue.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This tool has no annotations, no output schema, and a single generic parameter object. The description should provide a complete operational picture—what the tool does, what it needs, and what it returns—but it does none of that. It is wholly inadequate for an agent to select and invoke this tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with only a placeholder description ('Tool parameters as JSON object'). The tool description adds no hints about expected fields (e.g., latitude, longitude, or an address). Even though schema coverage is high, the schema description is non-informative, so the description must compensate—it does not.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name ('reverse geocode') and appends a broad category ('Data & Weather tool'). It does not explicitly state what the tool does (e.g., convert coordinates to an address) and does not distinguish it from siblings like geocode or geolocate_ip. The purpose is vague and relies entirely on domain knowledge.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of suitable inputs (e.g., latitude/longitude) or scenarios. The description lacks any 'use when' or 'instead of' context, making it impossible to choose this tool over related geolocation/geocoding tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does usefully mention that the tool costs $0.001 USDC via x402, but it provides no information about what the tool actually does, what scenarios it supports, what side effects exist, or what kind of output to expect.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but it is under-specified rather than appropriately concise. The first sentence is a tautology and the second sentence only covers cost, so neither sentence fully earns its place by conveying tool-specific meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
ROI calculation is a nontrivial domain with multiple possible inputs (e.g., initial investment, returns, time period) and formula variants. With no output schema, no annotations, and a generic params schema, the description is far too sparse to enable correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only defines a generic 'params' object with no domain-specific fields. The description adds absolutely no parameter semantics, so an agent has no idea what keys or values to include for an ROI calculation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'roi calc — Finance & Math tool' is essentially a restatement of the tool name with a generic category label. It does not explicitly say that the tool calculates return on investment or any other specific function, and it does not distinguish this tool from the many other finance calculators in the sibling list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus any alternative. The only additional context is the cost/payment method, which does not help an agent decide between roi_calc and related calculators like loan_calculator, cagr_calc, or simple_interest_calc.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only disclosed behavior is the cost via x402, which is useful but unrelated to the tool's operation. No annotations exist, so the description carries the full burden of explaining what happens to input data or what the tool returns; it fails to do so.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
While the description is very short, it is under-specified rather than concise. It occupies a single sentence but conveys no functional content, making the brevity a liability rather than a strength.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Even for a simple utility, the description lacks essential context: no explanation of what 'sentence length' analysis entails, no input/output format, and no note of typical use cases. With an opaque schema and no annotations, this is profoundly inadequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is a generic 'params' object with no specific properties. The description adds zero information about what parameters are expected (e.g., text input, options), so the agent cannot know how to construct a valid invocation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially the tool name repeated with a vague category label ("Other Utilities tool"). It lacks a clear verb stating what the tool does, making it difficult to distinguish from other text-analysis siblings like word_count or readability_analyze.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives. The description gives no context, scenarios, or exclusions, leaving the agent without any basis for tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral trait disclosed is the cost and payment method ('Costs $0.001 USDC via x402'), which goes beyond annotations (none exist) but does not describe the tool's operation, output, side effects, or limitations. This is minimal value for transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short but under-specifies; it is concise in word count but lacks the essential content that would make it useful. The structure is a single sentence with a dash, providing no logical breakdown of purpose, usage, or parameters.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no outputs schema, sparse annotations, and a generic schema, the description fails to satisfy even basic completeness. It does not state what the tool does, what inputs it takes, or what it returns, leaving the agent with insufficient information to use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema exposes only a generic 'params' object with no specific fields. The description provides zero information about what parameters are expected, making it impossible for an agent to construct a valid call without external knowledge.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only names the tool ('significant figures') and labels it as an 'Other Utilities tool,' but does not state the specific action it performs (e.g., rounding or calculating significant figures). It relies on the user knowing what 'significant figures' means, which is ambiguous in a utility context.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given for when to use this tool versus any of the many siblings (e.g., scientific_notation, evaluate_math). The description lacks any contextual or exclusionary information that would help an agent select it appropriately.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost ('Costs $0.001 USDC via x402'). No annotations exist, so the description should reveal side effects, safety, or operation details. It does not state what happens, whether any data is altered, or what the output is. The cost info is useful but insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but brevity is not conciseness when it omits essential information. It lacks a clear sentence structure and fails to convey core purpose. It reads more like a label fragment than a useful description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and an opaque parameter wrapper, the description should explain what it does, what it returns, and how to invoke it. It only provides a category and pricing. This is markedly incomplete for an agent to use it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with no internal properties described. The description adds no parameter information. With 100% schema coverage but zero substantive parameter documentation, the agent has no idea what inputs are expected.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'sip calc — Finance & Math tool' which is vague and doesn't state a specific verb or functionality. It does not explain what SIP calculates (e.g., systematic investment plan returns). It essentially restates the tool name and assigns a broad category, offering little differentiation from siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool vs alternatives. There is no mention of appropriate context, prerequisites, or exclusions. With dozens of finance/math sibling tools, the absence of usage criteria makes it impossible for an agent to know when to select this.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are absent, so the description carries the full transparency burden. It discloses only the $0.001 USDC x402 cost, but not core behavioral traits such as what actions it performs, whether it is read-only, or what side effects it has. This is insufficient for a finance tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but this is under-specification rather than effective conciseness. It wastes the few words on repeating the name and a broad category, providing no operational value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, a bare schema, and a vague description, the tool is critically under-specified. It lacks purpose, parameter semantics, and output expectations, making it nearly impossible to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only defines a generic 'params' JSON object with no documented properties. The description adds no parameter information, failing to compensate for the schema's lack of specificity. An agent cannot know what inputs to provide.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'stock return — Finance & Math tool,' which repeats the tool name without a verb or specific action. It fails to state whether the tool calculates stock returns, fetches stock data, or something else, and does not distinguish it from sibling finance tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives. The description only mentions a category and cost, with no conditions, prerequisites, or exclusions relative to other finance calculators.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does mention the cost ($0.001 USDC), which is a useful operational trait, but it fails to explain the conversion behavior, input expectations, failure modes, or return format. The core action is only implied by the tool name, not described.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but its brevity is due to under-specification rather than tight, informative writing. 'JSON & Data tool' is filler, and the actionable content is limited to the tool name and cost, which do not earn their place as a useful description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is a conversion utility that likely requires an input TOML string and returns JSON, but none of that is explained. There is no output schema, no annotations, and no parameter details, leaving the description completely inadequate for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema's only parameter is a generic 'params' object with no actual sub-properties described. The description adds no information about what keys to supply (e.g., 'toml' or 'input'), so the agent cannot determine how to construct a valid call. This effectively leaves the input contract undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'toml to json' is essentially a restatement of the tool name and does not use a clear verb like 'convert' or 'parse'. The added 'JSON & Data tool' is a generic category label that does not differentiate this tool from the many other format-conversion siblings such as xml_to_json or ini_to_json.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, no input prerequisites, and no mention of related conversion tools. The only non-name information is pricing, which is not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavior, but it only states what the tool does in name and its price. There is no mention of input format, edge cases, error behavior, or whether the operation is reversible.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, which is concise, but only the cost and a restatement of the tool name are included. It is under-specified rather than usefully concise, failing to provide actionable content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no real parameter semantics, and no behavioral details, the description is grossly incomplete for a JSON transformation tool. An agent cannot safely invoke it without guessing at the expected input structure.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with no real parameter definitions, and the description adds no parameter information. Even though schema coverage is formally 100%, the schema itself is semantically empty, so the description fails to compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The name 'unflatten_json' and description 'unflatten json' clearly identify the operation, and the sibling 'flatten_json' provides contrast. However, the description does not explain what unflattening entails (e.g., converting a flat key-value structure back into nested objects/arrays), so an agent might not understand the exact transformation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool instead of other JSON tools like flatten_json, process_json, or merge_json. The description only mentions the cost, which does not help with tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full responsibility for behavioral disclosure. It does reveal the cost and payment mechanism ($0.001 USDC via x402), which is a behavioral trait. However, it does not mention what input is accepted, what output is produced, or any other side effects, leaving the agent largely in the dark.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief, but the first phrase 'unique words' is redundant with the tool name and does not earn its place. The cost sentence adds a bit of value, but the overall structure is an under-specified label rather than a well-formed tool description. It is short but not appropriately informative.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a generic input schema, the description is the only source of context. It fails to convey the tool's purpose, input format, or return value. Even for a simple utility, the agent cannot determine how to use it correctly. This is a clear gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no actual properties or descriptions. The description adds no information about what parameters should be passed (e.g., text, language, case sensitivity). With 0% effective parameter documentation from both schema and description, the agent has no way to correctly invoke the tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a restatement of the tool name ('unique words') plus a vague category label ('Other Utilities tool'). It provides no verb or resource to indicate what the tool actually does, such as extracting unique words from input text. This is closer to tautology than a clear purpose statement.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. With many text analysis siblings (word_count, word_frequency, etc.), the description says nothing about when unique_words is the right choice. No context or exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It does not mention whether the operation is read-only, what side effects might occur, what output format to expect, or any operational constraints. The only behavioral trait mentioned is the cost, which is not a behavioral aspect.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short (two phrases) but the first phrase simply repeats the tool name, and the second phrase about cost does not contribute to understanding the tool's usage. It is concise in length but fails to earn its place by adding meaningful content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool that requires at least a URL string and an action (encode/decode), the description is severely incomplete. There is no output schema, no parameter details, and no explanation of how to specify the mode. The description is inadequate for an agent to successfully invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains a single generic 'params' object with no specific properties, and the description provides no information about what parameters are required (e.g., 'url', 'action'). The description adds zero value beyond the schema, leaving the agent with no guidance on how to construct a valid request.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name ('url encode decode') and adds a category label ('Text & Encoding tool'), but does not explain what the tool does in a functional sentence. It is clear that it relates to URL encoding/decoding, but it does not distinguish this tool from sibling encoding tools like encode_base64 or html_escape.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage guidance is provided. The description only mentions a cost ('Costs $0.001 USDC via x402') without any indication of when to use this tool versus alternatives, prerequisites, or scenarios where it is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost ($0.001 USDC via x402), which is a behavioral trait beyond the schema. However, it does not describe what validation entails, return format, error behavior, or any side effects. With no annotations, this falls short of the burden of disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded, but the first sentence is largely redundant with the name, and the only useful detail is the cost. It is not verbose, but it does not fully earn its length due to the vague 'JSON & Data tool' filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is extremely incomplete for a tool with no annotations, no output schema, and a generic param wrapper. It lacks essential information about invocation, parameters, outputs, or error handling, making it inadequate for an agent to invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object that conveys no meaning about actual parameters. The description adds no information about what parameters are required (e.g., json_string) or how to provide them, leaving parameter semantics completely undefined.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the name ('validate json') and adds a generic category 'JSON & Data tool' without specifying that it validates JSON syntax. It fails to state the actual function and does not distinguish from sibling tools like process_json or json_path_query.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description gives no context, prerequisites, or exclusions, leaving the agent without direction on appropriate use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but only discloses cost ('$0.001 USDC via x402'). It does not mention whether the tool makes network calls, returns a boolean, handles errors, or requires special authentication beyond cost.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
While extremely short, the description is under-specified. 'Validate vat' is redundant, 'Other Utilities tool' is unhelpful filler, and only the cost sentence contributes any real information. The structure fails to front-load functional details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has a complex generic schema, no output schema, and no annotations. The description provides zero information about expected input structure, output format, error conditions, or network dependencies, making it impossible for an agent to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only declares a generic 'params' object with no inner properties. The description adds no meaning about what keys or values this object should take (e.g., vat_number, country_code), leaving the agent without any clue how to construct a valid request.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'validate vat — Other Utilities tool' merely restates the tool name and adds a generic category, providing no specific verb+resource. It fails to clarify what is validated (e.g., a VAT number format, country-specific registration) and does not distinguish it from siblings like vat_calc or validate_email.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description offers no guidance on when to use this tool, what scenarios it suits, or how it differs from alternatives. No context about prerequisites, expected inputs, or comparison to related validation tools is present.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a cost of $0.001 USDC via x402, which is a behavioral trait. However, with no annotations available, it fails to mention any other relevant behaviors such as data handling, limitations, or output format, providing only minimal transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief, but it is under-specified rather than concise. The few words fail to convey the tool's purpose or usage, and the cost information, while extra, does not compensate for the missing core functionality.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and a vague description, the tool's input structure, supported units, and return format are entirely unexplained. Given the large number of sibling converters, this description is grossly insufficient for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema defines a single parameter 'params' as 'Tool parameters as JSON object', which is a generic placeholder and does not enumerate expected fields. The tool description adds no parameter details, so agents cannot determine what to pass in the JSON object.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'volume convert — Converters tool' essentially restates the tool name and provides only a generic category. It does not specify what conversions are performed (e.g., liters to gallons), the supported units, or how it differs from sibling converters like convert_units or speed_convert.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use volume_convert versus alternative converter tools. There are no mentions of use cases, exclusions, or alternatives, leaving the agent without direction for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a $0.001 USDC cost via x402, which is a behavioral trait, but it entirely omits the core behavior (e.g., querying WHOIS servers, rate limits, or required inputs). With no annotations provided, the description carries the full burden and falls far short.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief, but brevity is not conciseness when it omits essential information. The single sentence provides only a category label and pricing, leaving out the tool's actual function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema and such a sparse input schema, the description is grossly incomplete. It gives no hint of what the tool returns, what inputs it expects, or how it compares to the many sibling network tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only defines a generic 'params' object with no sub-properties, and the description adds no meaning about what parameters are needed (e.g., domain name). Schema coverage is effectively empty of semantic detail, so the description must compensate, but it does not.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only categorizes the tool as a 'Security & Network tool' without stating a specific verb or resource. It does not say that it performs WHOIS lookups of domain registration data, and it fails to distinguish itself from related siblings like dns_whois_lookup or reverse_dns_lookup.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, typical use cases, or situations where a different network tool would be more appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses one behavioral trait—the monetary cost ('Costs $0.001 USDC via x402')—but omits crucial details such as side effects (e.g., creating a charge, sending a payment request), required inputs, or expected return behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief, but this is under-specification rather than effective conciseness. It is front-loaded but lacks substance; the two clauses merely provide a label and a cost, neither of which earns its place as useful operational guidance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a payment-related tool with a real monetary cost, the description is radically incomplete. It fails to explain what triggers the charge, how the payment request is made, what the response looks like, or how it relates to sibling tools like x402_verify_payment and x402_wallet_info. Without an output schema or annotations, the description should have carried much more weight.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains a single generic 'params' object whose description is purely tautological ('Tool parameters as JSON object'). The tool description adds no parameter-level meaning, leaving the agent with no clue about the actual fields, required format, or nested structure needed for a payment request.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is a noun phrase 'x402 payment request' that almost restates the tool name with spaces. It adds 'x402 & Wallet tool' and cost information, but lacks a verb indicating the actual operation (e.g., create, request, initiate). It specifies the domain (x402 payments) but not the specific function, and doesn't differentiate from siblings like x402_verify_payment or x402_pricing.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any use cases, prerequisites, or exclusions, and offers no context for selecting this tool over related payment or wallet tools in the sibling list.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. The only behavioral disclosure is that it 'Costs $0.001 USDC via x402,' which is useful. However, the description does not reveal whether the tool is read-only, what operation it performs, what side effects occur, or what the response contains. This is a minimal behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but brevity without substance is under-specification. It opens with a restatement of the tool name, then gives a cost fact. There is no structured explanation of behavior or inputs. This is not effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, no annotations, and a single generic parameter. The description fails to explain what pricing information is returned, what inputs are required, or how it relates to other x402 tools. It is not adequate for an agent to select and invoke the tool with confidence.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema contains a single generic 'params' object with no domain-specific fields. Although schema coverage is 100%, the description adds no parameter meaning. The tool's cost and pricing nature suggest inputs like amount or currency, but none are specified, leaving the agent unable to determine what to supply.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'x402 pricing — x402 & Wallet tool' which essentially restates the tool name and adds a vague category. It does not state a specific action or resource beyond 'pricing,' and it does not distinguish itself from sibling tools like x402_wallet_info or x402_payment_request. The cost information is a detail, not a purpose statement.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus alternatives. The description mentions a cost but provides no context about the tool's intended scenario, prerequisites, or exclusions. This is absent guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. It only mentions cost, not how the tool calculates blood alcohol, what data it returns, or any side effects/constraints. This is completely opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short but not appropriately concise because it omits essential information. The first sentence is a redundant repetition of the title, while the cost sentence is the only useful addition, but under-specification is not conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a calculation tool, this description is grossly incomplete. It lacks any explanation of inputs, outputs, units, or limitations. With no output schema and no annotations, the agent has no way to correctly invoke or interpret results.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one generic 'params' object with a tautological description ('Tool parameters as JSON object') and no specific fields. Although schema coverage is 100%, the description adds no meaning beyond the schema, leaving the actual required parameters undefined.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely repeats the tool name 'blood alcohol calc' and adds a category label 'Other Utilities tool', which is essentially a tautology. It does not explicitly state what the tool calculates, what inputs it accepts, or what output it produces, failing to distinguish it from the many sibling utilities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or when to prefer an alternative. The cost note is the only additional context, but there is no mention of use cases, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full responsibility for behavioral disclosure. It does reveal a cost ($0.001 USDC via x402), which is a useful constraint, but it omits any other behavioral traits such as input processing, side effects, or output format, leaving substantial gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but this is under-specification rather than conciseness. It omits critical information, and the two pieces of information it provides (category and cost) are not enough to make the description useful. A concise description should still convey essential operational details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has a generic parameter container, no output schema, and no annotations. The description does not explain what inputs to provide, how the result is returned, or any limitations. This is severely incomplete for a tool that presumably requires statistical data inputs and produces a correlation coefficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Although the schema has 100% coverage for its single 'params' property, that property is a generic object with no inner details. The description adds only the broad category 'Finance & Math', offering no insight into what keys, data types, or formats should be placed inside the object, so it fails to compensate for the lack of structural detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('calculate correlation') with no additional detail about scope or specific functionality. Adding 'Finance & Math tool' provides a category but does not clarify what inputs or statistical methods are involved, making it essentially a tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, no prerequisites, and no context for selecting it over the many sibling math/finance tools. The cost note is a pricing detail, not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only mentions a $0.001 USDC cost via x402, which is a pricing detail, not a behavior or side-effect disclosure. It reveals nothing about what the tool computes, whether it is read-only, or what it returns.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this brevity is under-specification rather than conciseness. It contains one sentence that repeats the name and adds a cost note, leaving out essential functional information that could be stated briefly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's position among dozens of color-related tools and the absence of useful schema or output details, the description is wholly inadequate. There is no explanation of what inputs to provide, what the tool returns, or how it differs from alternatives, making it impossible for an agent to use this tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only defines a generic 'params' object with no tool-specific properties, and the description adds no parameter details. Although schema coverage appears 100%, the schema itself is a stub, so there is no real semantic value. The description fails to compensate for this lack of parameter information.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'Colors & Design tool' but does not specify what the tool actually does—it lacks a verb and any concrete action. It does not distinguish 'color_harmony' from nearby siblings like complementary_color or generate_color_palette, making it unclear which function to select.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the many other color-related tools. The description does not mention scenarios, inputs, or exclusions, leaving the agent without any decision support.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a behavioral trait: it costs $0.001 USDC via x402. This is useful beyond annotations (none provided). However, it says nothing about side effects, required authentication, input/output behavior, or rate limits, so transparency is minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but it wastes the first segment repeating the tool name ('convert color'). The 'Colors & Design tool' phrase adds little value. The cost sentence is useful. It is concise but not effectively structured for clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (generic color conversion) and the lack of output schema, annotations, and specific parameters, the description is severely incomplete. It offers no information about accepted formats, conversion directions, or return values, leaving agents with insufficient context to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is a generic 'params' object with no specific properties. The description does not compensate by explaining what parameters the tool accepts (e.g., color values, target format). With 0% meaningful schema coverage and no param info in the description, parameter semantics are entirely opaque.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'convert color' which is a verb+resource, but it is extremely generic and does not specify what conversions are supported (e.g., hex to RGB, HSL to CMYK). It does not differentiate from the many sibling color conversion tools like hex_to_hsl or rgb_to_hsl, so the purpose remains vague.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the numerous specific color conversion siblings. The description only mentions pricing, not use cases or exclusions. An agent would have no idea whether to pick convert_color or a specialized color tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full responsibility for disclosing behavior. It only mentions cost and category, offering no information about input processing, output format, side effects, or required permissions. The tool's behavior is completely opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not truly concise—it wastes the first sentence on a restatement of the name and only adds cost info. Essential details about purpose and usage are omitted, making this under-specification rather than effective brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations and output schema, the description provides almost no useful context. It does not explain what constitutes valid input, what the output looks like, or how the tool behaves. This is completely inadequate for an agent to invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single generic 'params' object with placeholder description 'Tool parameters as JSON object,' and the tool description adds zero parameter information. Even though schema coverage is 100%, the schema itself is uninformative, so the agent cannot determine what fields to provide.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'detect text encoding' simply restates the tool name and adds the generic category 'Other Utilities tool.' It does not explain what the tool actually does (e.g., identify character encoding of a given text) nor differentiate it from sibling tools like detect_language or hash_text.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool, what inputs are expected, or how it compares to alternatives. The description does not mention any context, prerequisites, or exclusions, leaving the agent without direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral trait disclosed is the cost of $0.001 USDC via x402, which is useful but insufficient. Since no annotations are provided, the description must explain what the tool does, whether it is read-only or generative, and any side effects. The agent cannot infer the operation's behavior from this description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief and front-loaded with the tool name, but the first phrase 'Content & AI tool' is too vague to be informative. The cost information is specific and earns its place, yet the overall structure sacrifices clarity for brevity, making it concise but not effective.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is essentially undefined. With no annotations, no output schema, and a generic params object, the description leaves the agent completely in the dark about the tool's functionality, expected inputs, and outputs. It is far from contextually complete, especially given the wide range of sibling tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema provides only a generic 'params' object with no specific properties or parameter descriptions, and the tool description does not mention any parameters. The agent has no idea what to include in the 'params' object, making correct invocation impossible.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description labels the tool as a 'Content & AI tool' which is extremely generic and does not specify what it actually explains or how it differs from similar AI tools like summarize, paraphrase, or tldr. The name 'explain' suggests a capability, but the description adds no clarity about the specific resource or action.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool, what inputs to provide, or how it compares to alternative tools. It only mentions the cost, which does not help an agent decide between this and sibling tools. There is no context for when this tool is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost of $0.001 USDC via x402, which is useful but insufficient. With no annotations and no description of input/output, side effects, or limits, the description fails to disclose essential behavioral traits for a tool that presumably processes text.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief and free of verbose filler, but it is under-specified. The phrase 'Other Utilities tool' adds no real value, and the description lacks structure or detail that would make the brevity effective.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, an output schema, and meaningful parameter definitions, the description is severely incomplete. An agent would not know what input to provide or what to expect in return, making the tool effectively unusable based on this description alone.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object with a placeholder description. The tool description adds no information about actual parameters, such as how to specify the text or define 'long'. The description does not compensate for the schema's lack of concrete parameter detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'find long words' simply restates the tool name without explaining what constitutes a long word, what input is expected, or what output is produced. It does not meaningfully distinguish itself from the sibling 'find_short_words' beyond the obvious opposite wording.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description only mentions cost and the generic 'Other Utilities' category, which provides no contextual or selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden. It only discloses the cost and category, not the output format, required parameters, potential side effects, or other behavioral aspects. The cost note is useful but insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, but the first clause 'list color names' is tautological. The cost information is useful, but the opening adds no value. It is concise but not information-dense.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the large family of color tools and lack of annotations or output schema, the description is severely incomplete. It does not clarify its role among siblings, input requirements, or return value, making it difficult for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has only a generic 'params' object with description 'Tool parameters as JSON object', which provides no meaningful information. The description does not mention any specific parameters, leaving the agent without any guidance on what to pass.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'list color names' which is essentially the tool name, and categorizes it as a 'Colors & Design tool.' This minimally conveys the purpose but does not distinguish it from sibling tools like color_named or convert_color, which also deal with color names.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description only mentions cost and category, with no reference to use cases, prerequisites, or exclusions. Sibling tools are not mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, but it only mentions cost. It does not state whether the operation is read-only, how it handles invalid inputs, what output format to expect, or any side effects. The word 'merge' is the tool name itself, not an elaboration.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Although the description is short, it wastes its few words on a tautology and a generic category, while omitting essential functionality. The only useful sentence is the cost note; concise writing should still convey purpose and usage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the large family of JSON/data siblings, the absence of an output schema, and the lack of annotations, this description is completely inadequate. It does not explain what the tool does, how to invoke it, what to pass, or what to expect in return, making correct selection and use impossible.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema's single 'params' field is described generically as 'Tool parameters as JSON object', which provides no semantic detail. The description adds nothing about expected keys, value types, or structure, failing to compensate for the schema's ambiguity.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'merge json' simply restates the tool name, and 'JSON & Data tool' is a generic category that applies to numerous siblings. It fails to specify what 'merge' does, what inputs it expects, or how it differs from other JSON utilities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided for when to use this tool over alternatives like process_json, json_path_query, or flatten_json. There is no mention of use cases, prerequisites, or examples, leaving the agent without any contextual direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description must disclose behavior. It reveals that the tool costs $0.001 USDC via x402, but otherwise only says it is a retirement calculator, without mentioning what data it uses, whether it performs a pure computation, or what the response contains. The payment/rate-limit information is useful, but it does not cover the tool's execution behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and readable, but the first clause merely repeats the tool name and the second is a broad category label. Being concise does not offset the absence of substantive content; the only non-redundant information is the cost line. It is under-specified rather than efficiently complete.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a finance calculator with no output schema and no annotations, this description is far from complete. It does not explain output format, example use cases, or required/optional parameters, and it sits in a list of hundreds of unrelated tools with no disambiguating detail. The cost note is the only specific contextual fact.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object with no actual properties, and the description offers no hints about retirement-specific parameters like age, savings, or income. Since the nested params are undocumented and required is false, the agent cannot infer valid inputs. This fails to compensate for the schema's lack of detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name ('retirement calc') and vaguely labels it a 'Finance & Math tool.' It does not state what specific calculation or output the tool provides, so it fails to distinguish retirement_calc from sibling calculators like loan_calculator or investment_calculator.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool, what inputs are expected, or how it differs from alternatives. The only practical note is the $0.001 USDC cost, which is an operational constraint, not usage direction. Sibling tools such as investment_calculator and compound_interest are not referenced.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden of behavioral disclosure. It discloses the cost ($0.001 USDC via x402) but says nothing about the operation itself: what the tool does, whether it is a read-only transformation, what input it expects, or what output it returns. This is almost completely opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, but the first part 'soundex code — Other Utilities tool' is largely redundant with the tool name. The cost sentence is useful information. Overall it is concise but includes a sentence that does not earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, a generic schema, and no output schema, the description should compensate by explaining the tool's function, input, and output. It fails to do so, providing only a cost and a useless category label. The tool would be virtually indistinguishable from other text utilities for an agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema provides a single 'params' object with no defined sub-properties and generic description 'Tool parameters as JSON object'. The description adds no parameter meaning whatsoever—it does not mention that the tool likely expects a string to encode. The 100% schema coverage is superficial because the parameter is a blank container.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description begins with 'soundex code' which merely restates the tool name, followed by 'Other Utilities tool' which only provides a generic category. There is no specific verb or resource described, such as 'Encodes a word into its Soundex code'. This does not adequately differentiate it from siblings like morse_code or nato_phonetic.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus alternatives. It only mentions that it is an 'Other Utilities tool' and states the cost. There is no mention of appropriate input type, scenarios, or exclusions among the many sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden but only reveals the cost ($0.001 USDC via x402) and the broad category. It does not disclose required inputs, output format, potential side effects, or any operational behavior beyond the payment requirement.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and under-specified. While it is not verbose, it lacks the necessary information to be considered well-structured; the one-liner is more of a placeholder than a functional description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of annotations, no output schema, and a generic parameters object, the description is grossly incomplete. It provides no information about expected inputs, return values, or behavior, leaving the agent completely in the dark.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema's only parameter is a generic 'params' object with the description 'Tool parameters as JSON object', which provides no actual parameter semantics. The description adds no additional meaning about what parameters the tool accepts, making it impossible to know what to pass.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('tax bracket') and labels it as a 'Finance & Math tool' without a specific verb or resource, so it does not clearly state what action the tool performs. It fails to differentiate from the many other finance/math tools in the sibling list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool, what scenarios it fits, or how it compares to alternatives. The mention of cost is a payment note, not a usage context or exclusion.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost ($0.001 USDC via x402), which is a useful behavioral trait. However, with no annotations provided, the description carries the full burden and does not mention side effects (e.g., sending network packets), required permissions, or any limitations beyond cost.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded with the tool name, which is efficient. However, the sparse content means the few sentences do not fully earn their place; the 'Security & Network tool' phrase is too generic to be informative. It is concise but incomplete.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a network tool with no annotations, no output schema, and an unhelpful parameter schema, the description is severely lacking. It does not explain how to invoke the tool, what parameters to pass, what output to expect, or any operational context. The cost mention is the only extra detail, leaving the tool largely underspecified.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no defined properties, and the description does not clarify what parameters traceroute accepts (e.g., hostname or IP). The schema provides no meaningful parameter information, and the description adds nothing to compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'Security & Network tool' but does not specify the actual function of traceroute (e.g., tracing network routes). It is vague and could apply to many tools, and it does not distinguish from siblings like ping or dns_lookup. It stops short of a tautology by adding a category, but lacks a clear verb and resource.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use traceroute versus alternative network tools such as ping or dns_lookup. The description only notes the cost, providing no contextual usage direction or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a cost of $0.001 USDC via x402, which is a useful behavioral trait. However, with no annotations provided, this single cost note is insufficient; it does not mention what the tool does, what it returns, or any other behavioral characteristics such as required inputs or side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is under-specified rather than concisely informative. The phrase 'Content & AI tool' is a vague category label that does not earn its place, and the cost sentence is the only useful piece. Overall, the description is too short to be helpful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a translation tool, the description is severely incomplete. Nothing is said about input format, language support, output structure, or any usage context. The lack of an output schema and the absence of parameter details make this description entirely inadequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has only a generic 'params' object with a description that adds no specific meaning. The tool description also provides no parameter details (e.g., source text, target language), so the agent is left without any semantic information about what parameters should be passed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only says 'Content & AI tool', which is vague and does not specify the tool's actual function. The name 'translate' implies language translation, but the description does not confirm this nor distinguish it from the many other content/AI tools in the sibling list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool, no mention of alternatives, and no exclusions. The description fails to provide any context for when an agent should select 'translate' over other related tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits but only mentions the cost ($0.001 USDC via x402). It does not state whether the tool is read-only, what inputs it requires, what outputs it produces, or any side effects. The cost information is useful but insufficient for a calculation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short but under-specified. While it is not verbose, it does not earn its place because it omits essential purpose and usage details. A concise description that lacks substantive content is not effective.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, no annotations, and an opaque parameter schema, the description is severely inadequate. For a financial calculation tool that likely requires multiple inputs (principal, rate, term, etc.) and produces a schedule, the description fails to convey any of this, making it nearly unusable for an agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only provides a generic 'params' object with no details about actual parameters like principal, interest rate, or term. The description adds no parameter information whatsoever, leaving the agent with no understanding of what arguments to pass. Schema coverage is nominal (100% of one wrapper property) but semantically empty.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('amortization calc') and adds a generic category ('Finance & Math tool'). It does not specify the verb+resource or explain what amortization calculation entails, nor does it distinguish this tool from sibling finance calculators like loan_calculator, emi_calc, or mortgage_calculator.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There are no examples, exclusions, or mention of typical use cases. The description is silent on prerequisites or scenarios where amortization_calc is the appropriate choice.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the $0.001 USDC x402 cost, which is useful. However, with no annotations present, the description fails to disclose whether the operation is read-only, what parameters are required, what the return value looks like, or any side effects. Cost alone is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact and front-loaded, with the cost note being relevant. However, it is concise to the point of under-specification, containing only a restated name and a domain label, so it does not achieve the informative brevity of a well-written tool description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Body fat calculation is a multi-parameter task, but the description omits all required inputs, the calculation method, and the output format. There is no output schema to compensate, and the generic 'params' object provides no structure. The domain label and cost are far from sufficient for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema's single property is a generic 'params' object described only as 'Tool parameters as JSON object', which provides no real parameter meaning. The tool description adds no parameter details, so an agent must rely on the name to guess fields like age, gender, waist, neck, and hip measurements.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name ('body fat calc') and adds only a broad 'Health & Fitness' category. It does not state what the tool calculates or what output it produces, and it fails to distinguish itself from sibling fitness calculators like calculate_bmi or lean_body_mass.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage guidance is provided. The description gives no context about when to use this tool, what prerequisites exist, or which alternatives might be more appropriate. It does not mention any exclusions or comparisons to sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only additional behavioral detail is the cost ('Costs $0.001 USDC via x402'). There is no mention of what the tool returns, whether it is read-only, if specific color formats are expected, or any side effects. With no annotations, the description carries the full burden but remains largely silent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than effective conciseness. The single sentence adds almost no information beyond the tool name and a category label, and there is no structure that aids comprehension.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is severely incomplete given the tool's context. It lacks any explanation of input colors, contrast measurement method, return values, or how it differs from the many sibling color tools. No output schema exists, so the description needed to carry the full context and failed to do so.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object with the description 'Tool parameters as JSON object', which provides no real parameter information. The description does not compensate by explaining the expected parameters (e.g., two color values, format). Schema coverage is effectively 0% in terms of meaningful semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'check color contrast — Colors & Design tool' essentially restates the tool name and adds a broad category label. It does not explain what checking color contrast entails (e.g., calculating contrast ratios, WCAG compliance) or how it differs from sibling color tools like color_blindness_sim or convert_color.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. It provides no context about suitable scenarios, prerequisites, or distinctions from the many other color-related sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It does disclose a cost ($0.001 USDC via x402), which is a behavioral trait, but it does not explain what actions the tool performs, what output it returns, or any side effects or limitations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short and lacks substantive content. While it is concise, it is under-specified; the cost note is useful but the core purpose is not explained.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema, no annotations, and a generic parameter container. The description does not explain what a 'page' is, how to invoke the tool, or what the result looks like, making it severely incomplete for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object, and the description adds no information about what parameters should be included. There is zero compensation for the lack of meaningful schema detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a restatement of the tool name ('check page size') with a category label ('Security & Network tool'). It fails to specify what 'page size' refers to (web page, memory page, etc.) and does not distinguish this tool from siblings like http_headers or check_links.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the many similar network/security tools. There is no mention of prerequisites, scenarios, or alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully explain behavior. It fails to disclose what the tool does to the input, whether it is destructive, the expected return format, or any side effects. The only behavioral note is the cost, which is not about the tool's operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but under-specified. It front-loads the name and includes cost, but the entire content is a fragment and a category label, not a structured explanation. It resembles an unfinished stub rather than a concise, informative description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, and only a generic parameter wrapper, the description provides almost no context for the tool's operation, inputs, outputs, or required setup. The cost is the only additional context, which is insufficient for reliable selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only defines a generic 'params' object with no specific properties, and the description offers no additional parameter details. There is no information about what keys or values the 'params' object should contain, leaving the agent without the necessary semantics to invoke the tool correctly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The name 'clean_whitespace' implies a specific action on whitespace, and the description labels it as a 'Text & Encoding tool,' but it does not define what 'clean' entails (e.g., trimming, collapsing, removing). This is clearer than a pure tautology but lacks the specificity needed to distinguish it from sibling tools like whitespace_analyze.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description only mentions cost, not use cases, input requirements, or exclusions. Sibling tools like whitespace_analyze or remove_accents are not referenced.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does disclose that the tool costs $0.001 USDC via x402, which is useful, but it says nothing about how the tool behaves, what inputs it expects, or what happens on success or failure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, but the first half is a redundant restatement of the tool name. The cost sentence is the only distinct piece of information. It is minimally structured and under-specified, though not padded with fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with a generic params wrapper, no output schema, and no annotations, the description is grossly inadequate. It does not explain how to provide code input, what file types or languages are supported, or what the output represents. An agent would not be able to invoke this tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has only a generic 'params' object described as 'Tool parameters as JSON object,' which provides no real semantic meaning. The description adds no parameter details, so an agent cannot infer what keys or values the tool needs. Although schema coverage is nominally 100%, the wrapper object hides all actual parameters, and the description does not compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a tautology: 'code complexity — Other Utilities tool.' It restates the tool name and adds only a generic category, with no verb or explanation of what the tool actually computes or returns. It does not distinguish the tool from siblings like code_stats or code_beautify.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description only mentions cost and a payment method; it does not indicate scenarios, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It does add one useful bit of transparency: the cost of $0.001 USDC via x402. However, it does not disclose expected inputs, output format, side effects, or failure modes, leaving most behavioral aspects opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but it is under-specified rather than appropriately concise. It omits essential functional information, so the brevity is a weakness, not a strength. The phrase 'Colors & Design tool' is vague filler, while the cost note is useful but incomplete context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This tool has no output schema, no annotations, and a generic input schema, so the description must carry full contextual weight. It fails to explain what inputs are expected, what the complementary color result looks like, or how it relates to other color tools. The description is far too incomplete for an AI agent to invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object with a boilerplate description ('Tool parameters as JSON object') and no specific properties. The description does not compensate by explaining what parameters should be passed, such as a color value or format. Thus it adds no meaningful semantic value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description reads 'complementary color — Colors & Design tool,' which simply restates the tool name and assigns a broad category. It lacks an explicit verb like 'calculates' or 'returns,' so it does not clearly state what the tool actually does. It is closer to a tautology than a functional definition.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the many sibling tools such as color_harmony, convert_color, or generate_color_palette. The description implies only that it is a colors-and-design tool, without any context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost ('$0.001 USDC via x402'), which is a useful behavioral trait. However, it says nothing about side effects, data handling, or whether the tool mutates input or returns a new output. No annotations exist to fill this gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but it is under-specified rather than concise. It wastes space on a category label and cost without conveying essential information about the tool's operation. A helpful one-liner would at least list input/output expectations.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This tool has no output schema, no annotations, and an empty parameter schema. The description is far too incomplete to allow an agent to use it correctly, as it lacks any details on what data to provide, what deduplication means, or what will be returned.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with no specific fields, and the description does not describe any parameters. Saying 'deduplicate data' gives no hint of required inputs, format, or options. The schema coverage is 100% but it is vacuous.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description simply restates the tool name as 'deduplicate data', which is a tautology. It adds no specifics about what kind of data, how deduplication is performed, or what the output is. The phrase 'Other Utilities tool' is a category label, not a purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description only mentions a cost and a category, with no mention of scenarios, prerequisites, or exclusions. This provides no clear context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full responsibility for behavioral disclosure. It only mentions a $0.001 USDC fee, which is a useful cost trait, but does not disclose what the tool computes, whether it has side effects, requires authentication, or returns. This is minimal transparency, warranting a 2.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short (two sentences), but the first sentence repeats the tool name and category, adding no value, while the second provides cost information. This is under-specification, not effective conciseness, as the single useful fact (cost) is buried in a redundant phrase.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's likely complexity (electrical calculations), the complete lack of behavioral information, meaningful parameter documentation, or output details makes the description severely incomplete. There is no output schema and no annotations to fill gaps. The agent cannot determine what to pass or what to expect, so this is nearly as deficient as the 'Process' example.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single 'params' property described only as 'Tool parameters as JSON object'—a generic passthrough that conveys no meaningful parameter names, types, or formats. The description does not compensate by explaining expected fields or example inputs. Even though the schema coverage is technically high, the coverage is not informative, so the score is 1.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'electrical calc — Other Utilities tool' largely restates the tool name and assigns a generic category, but does not specify what the tool actually computes or the resource it acts on. It lacks a specific verb and resource, so it remains unclear whether this performs Ohm's law calculations, power conversions, or something else entirely. This earns a 2 because it is effectively tautological.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the many sibling calculator tools (loan_calculator, geometry_calc, etc.). The only additional information is the cost, which does not inform tool selection. With no context or exclusions, this is a clear 'no guidance' case.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full burden. It discloses a cost of $0.001 USDC via x402, but says nothing about what the tool does, what inputs it needs, what output to expect, or any side effects. The cost information is useful but insufficient for behavioral transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but the first sentence 'emi calc — Finance & Math tool' does not earn its place as it adds no specific information. The second sentence about cost is clear, but overall the brevity is under-specification rather than efficient communication.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a finance calculation tool with no annotations, no output schema, and generic input schema, the description is completely inadequate. It omits the purpose, required parameters, output format, and any usage context needed to invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no actual parameter names or types, and the description does not compensate by listing expected fields like principal, interest rate, or tenure. Despite the 100% schema description coverage, the coverage is superficial and gives no real semantic meaning.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'emi calc — Finance & Math tool' merely restates the tool name and adds a generic category. It does not specify that the tool calculates Equated Monthly Installments or any other specific behavior, so it fails to distinguish from sibling finance tools like loan_calculator or mortgage_calculator.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of use cases, prerequisites, or exclusions, and the sibling tools include several finance calculators that could be confused with this one.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It only mentions a cost of $0.001 USDC via x402 but reveals nothing about the tool's behavior, processing, side effects, or output. This is insufficient for an agent to understand the tool's effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, which could be considered concise, but it is under-specified rather than efficiently informative. The only useful detail is the cost, while the core functionality is missing.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, and no parameter details, the description is grossly incomplete. An agent cannot reliably determine what input to provide or what to expect from the tool, making it unsafe to invoke without external knowledge.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema contains a single opaque 'params' property with only the generic description 'Tool parameters as JSON object.' The tool description adds no information about what parameters are expected, leaving the agent with zero guidance on how to structure the call.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'expand text — Text & Encoding tool' is nearly tautological, restating the tool name and placing it in a broad category. It does not explain what 'expand' means (e.g., expand abbreviations, Unicode, or URLs) and does not distinguish it from similar siblings like ipv6_expand or normalize_text.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description gives no context, prerequisites, or typical use cases, leaving the agent to guess when 'expand_text' would be appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose a cost behavior ($0.001 USDC via x402), which is useful, but it fails to mention what the tool actually does or any side effects, output format, or error conditions. This is a significant transparency gap for a tool with no annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but it is under-specified rather than concisely informative. It spends characters on a category label and cost while omitting the core function. This is not appropriate conciseness; it fails to earn its place by providing essential information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema and no meaningful parameter schema, the description is severely incomplete. It does not explain what the Fibonacci sequence tool returns, how to use it, or any examples. The agent has barely any information to select and invoke this tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only defines a generic 'params' object with no properties, and the description does not compensate by explaining what parameters the tool expects (e.g., number of terms). Schema description coverage is technically 100% because the only property is described, but that description ('Tool parameters as JSON object') is meaningless. The description adds no parameter-specific semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name ('fibonacci sequence') without a verb or explicit function. It mentions the tool category 'Other Utilities' and cost, but does not specify what the tool does (e.g., generate/calculate the sequence). This is essentially a tautology, barely more informative than the name itself.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, expected inputs, or any scenarios where this tool is preferred. The only additional context is the cost, which is not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the burden. It does disclose the $0.001 USDC x402 cost, which is useful behavioral context. However, it does not mention read-only status, output format, or any side effects, which is a significant gap for a calculator tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded with the name, category, and cost, which serves conciseness. However, the name repetition is redundant and the sentence carries minimal substantive content, making it efficient but shallow.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a skeletal parameter definition, this calculator tool needs explicit input/output examples and usage context. The description provides none, making it completely inadequate for an agent to invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object with a vague description, and the actual nested fields (e.g., mass, distance) are not specified. The description adds no parameter information, so it fails to compensate for the schema's lack of detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description mostly restates the tool name 'gravitational force calc' and adds a category and price. It lacks a specific verb like 'calculates' and does not explain what the calculation involves or how it differs from sibling tools like 'force_calc'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the numerous sibling calculators. No mention of alternatives, prerequisites, or context is provided, leaving the agent without any basis for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral detail is the cost of $0.001 USDC via x402. With no annotations, the description fails to disclose what the tool computes (e.g., calculating threshold heart rate zones), what inputs it requires, or what output to expect.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief but under-specified. It provides only a name, a category, and a cost, without any actionable detail, making it a case of under-specification rather than effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool that clearly requires parameters (the schema has a 'params' object), the description is severely incomplete. There is no output schema, no annotation, and no explanation of how heart rate zones are calculated or what data the user must provide.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with no meaningful structure, and the description offers no information about expected keys or value formats. Schema coverage is technically 100% but the description does not compensate for the empty param specification.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially 'heart rate zones — Health & Fitness tool', which restates the tool name and adds a broad category. It lacks a specific verb or function, and does nothing to distinguish it from sibling fitness tools like calculate_bmi or tdee_calc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus other health/fitness tools. There is no mention of alternatives, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost ($0.001 USDC via x402), which is useful operational context. However, with no annotations, it fails to disclose other behavioral traits such as accepted hex formats, return value structure, or side effects, leaving most behavior undisclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief and front-loaded with the name and category, and the cost detail is a relevant addition. However, it is so under-specified that it sacrifices essential information, though it is not verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple conversion tool, the name suggests the purpose, but the lack of parameter documentation and behavioral details creates significant gaps. The cost is mentioned, but input/output specifications are absent, making the completion insufficient for reliable invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only provides a generic 'params' object with no meaningful properties, and the description adds no parameter names, examples, or types. The actual arguments required for conversion are completely undocumented, making invocation ambiguous.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'hex to hsl — Colors & Design tool' essentially restates the tool name and adds a broad category. It does not explicitly state the conversion action or differentiate from sibling tools like hex_to_hsv or convert_color, making it a tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of input formats, expected use cases, or exclusions, leaving the agent without decision support.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral detail disclosed is the cost ('Costs $0.001 USDC via x402'), which is useful but not sufficient. With no annotations present, the description fails to convey the tool's side effects, required inputs, or return behavior, leaving the agent in the dark about the tool's actual operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than conciseness. The two phrases do not earn their place as they contribute minimal information, and no structure or front-loading of key details is present.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a financial calculator with likely multiple inputs and no output schema or annotations, yet the description offers no information about inputs, outputs, or behavior. It is completely inadequate for an agent to invoke the tool correctly, especially given the complexity of inflation calculations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only defines a generic 'params' object with the unhelpful description 'Tool parameters as JSON object'. Neither the schema nor the description provides any details about actual parameters (e.g., amount, years, inflation rate), so the agent has no idea what arguments to supply.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'inflation calc — Finance & Math tool' essentially restates the tool name and adds only a generic category label. It does not state what the tool actually does, such as calculating inflation-adjusted values, and fails to distinguish it from the many other finance/math calculators in the sibling list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives like loan_calculator or convert_currency. The description provides no context, prerequisites, or exclusionary conditions, leaving the agent without any basis for tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It only mentions the payment requirement of $0.001 USDC via x402, which is a useful cost constraint, but it fails to describe the tool's behavior, return format, side effects, or prerequisites. The disclosure is minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than effective conciseness. The phrases 'Other Utilities tool' and the cost add no substantive information about the tool's function, so the brevity is detrimental.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, and a generic input schema, the description is the sole source of context. It fails to explain the tool's purpose, input, output, or prerequisites, making it completely inadequate for an agent to use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object described only as 'Tool parameters as JSON object', which gives no specific parameter information. The description does not compensate by explaining what parameters are expected, leaving the agent completely unaware of how to structure the input.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name 'keyword density' and categorizes it as an 'Other Utilities tool' with a cost. It does not state what the tool actually does, such as calculating the density of keywords in text. This is a tautology that adds no functional clarity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus similar text-analysis siblings like word_frequency or word_count. It only mentions cost, leaving the agent without any context for appropriate usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full burden of behavioral disclosure. It does disclose that the tool costs money via x402, an important operational trait. However, it omits whether the tool is read-only, makes external calls, has rate limits, requires authentication, or what happens on payment failure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief but repeats the tool name ('kronos signals') and adds only a vague category and a cost note. This under-specification is not effective conciseness—the space would be better used to explain purpose and parameters.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a paid, complex market-intel tool with no output schema, no annotations, and a generic params object. The description fails to convey what signals are returned, what parameters are needed, or how it differs from sibling kronos tools. Only the cost is clear, making the description inadequate for tool selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only defines a generic 'params' object with no inner properties, so the description must compensate by explaining what parameters to pass. It provides no parameter names, formats, required fields, or examples. The cost note is unrelated to parameters, leaving the agent completely in the dark.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name ('kronos signals' → 'Kronos Market Intel tool') without a specific verb or resource. It vaguely indicates a market intelligence domain but does not explain what signals are produced or how this differs from sibling kronos tools like kronos_forecast or kronos_risk.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The only additional context is the cost ('Costs $0.001 USDC via x402'), which is a prerequisite rather than a usage guideline. No exclusions, conditions, or alternative tools are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost of $0.001 USDC via x402, which is useful. However, it does not reveal input/output behavior, side effects, or limits. With no annotations, the description must carry the full transparency burden and fails to describe the actual operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short and not structured. While it is concise, it is under-specification rather than effective conciseness. Every word adds some context, but the overall length is insufficient for a usable description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and an opaque input schema, the description is grossly incomplete. It does not state the basic function, parameters, return format, or how it differs from similar tools, making it nearly impossible for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is a generic 'params' object with no specific properties. The description adds no parameter details whatsoever, leaving the agent without any insight into what keys (e.g., text, width) are expected. Schema coverage is 100% only because the single generic property is documented, but it provides no semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'line wrap — Text & Encoding tool' which is a label rather than a clear action. It does not explicitly state that the tool wraps text to a specified width, nor does it distinguish from the sibling tool 'wrap_text'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives like wrap_text or expand_text. No usage context, prerequisites, or exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must convey behavioral traits. The only behavioral information is the cost of $0.001 USDC, but there is no disclosure of whether the tool is read-only, what it returns, error behavior, or any side effects. This is insufficient for safe invocation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and free of unnecessary words, but the first six words are a restatement of the tool name, and the 'Other Utilities tool' phrase is generic filler. While concise, the content does not earn its place because it adds no substantive information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema and the input schema is generic, so the description is the only source of contextual information. It fails to explain the input requirements, output format, or the exact range of lookups supported, making it inadequate for reliable use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema contains a single generic 'params' object with no meaningful key definitions, and the description adds no parameter semantics. The agent has no way to know what fields to provide (e.g., character, entity name, numeric code). Despite the 100% schema coverage, the coverage is of a generic container, so the description does not help.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description begins with 'lookup html entity', which directly repeats the tool name without providing any additional detail about what the tool actually does. It does not distinguish this from sibling tools like html_escape or lookup_http_code, and the generic 'Other Utilities tool' label offers no functional clarity. This is a tautology rather than an explanatory description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool. It does not mention any prerequisites, use cases, or alternative tools, leaving the agent to infer the intended invocation context solely from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden for behavioral disclosure. It does mention a $0.001 USDC cost via x402, which is a useful behavior, but it says nothing about inputs, outputs, or side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short but under-specified. It reads like a label rather than a functional description, so it is not effectively concise—it simply omits necessary details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema, no parameter details, no usage context. The description is far too minimal to allow an agent to select and use this tool correctly, even though the tool itself is simple.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only has a generic 'params' object with no specific properties, and the description adds no parameter meaning. There is absolutely no information about what parameters to pass, making it impossible to invoke correctly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a restatement of the tool name ('percentage calculator') plus a generic category ('Finance & Math tool'). It does not specify a verb or exact function, making it tautological and vague.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives like percentage_change_calc or discount_calculator. The description only mentions cost, not usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a cost ('Costs $0.001 USDC via x402'), which is a useful behavioral trait, but it does not describe the tool's operation, return value, or any side effects. With no annotations, the description fails to provide a clear picture of what happens when invoked.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but much of its content is redundant ('reading time' restating the name) or categorical. The cost note is the only original piece, but the overall structure is an under-specified snippet rather than a well-organized tool description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the minimal schema, no annotations, and no output schema, the description should compensate by explaining the tool's purpose, inputs, and outputs. It does none of that, making the tool essentially unusable for an autonomous agent without more information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only includes a generic 'params' object with no specific sub-parameters, and the description adds no information about what parameters are expected (e.g., text input, reading speed). This leaves the agent completely in the dark about how to construct a valid invocation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'reading time' is a direct restatement of the tool name and provides no verb or explicit resource. It includes a category label 'Other Utilities tool' but does not explain what the tool does, such as estimating how long it takes to read a given text.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or what it should be used for. It does not mention any alternative tools or conditions for use, leaving the agent without context to decide between this and sibling tools like 'speaking_time' or text analysis utilities.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must disclose behavior. It only mentions the cost and category; it does not explain input requirements, output format, or edge cases like unsupported character sets.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short but fails to convey necessary details; the 'Text & Encoding tool' phrase is filler and the cost is useful but insufficient. Under-specification is not conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a text-manipulation tool with no output schema and no annotation support. The description lacks all operational context—how to invoke it, what arguments to provide, and what result to expect—making it unusable without external knowledge.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema exposes only a generic 'params' object with no defined properties. The description does not mention any required or optional parameters, leaving the agent with no clue what payload to send.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description repeats the tool name 'remove accents' and adds only a vague category label 'Text & Encoding tool'. It does not specify what operation is performed (e.g., stripping diacritical marks from strings) or how it differs from sibling tools like 'normalize_text' or 'slugify_text'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool over alternatives. The only additional information is the cost, which does not help select among the many text-processing tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does disclose the $0.001 cost, which is a useful behavioral trait. However, it fails to describe what the tool actually does (e.g., computes required savings, returns a result) or any side effects, leaving agents to infer behavior from the name alone.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not efficiently informative. The first clause 'savings goal calc' is redundant with the tool name, and the generic 'Finance & Math tool' adds no value. Only the cost sentence is useful, but overall the description is under-specified rather than concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a calculator tool with a generic input schema, no output schema, and no annotations. The description does not explain what the calculation does, what inputs are necessary, or what output to expect. It is completely inadequate for safe selection and invocation, especially among many similar siblings.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description says nothing about parameters. The input schema only provides a generic 'params' object with no individual fields documented, so agents have no idea what keys to pass for a savings goal calculation. The 100% schema coverage is misleading because it only covers the wrapper object, not the actual parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('savings goal calc') and appends a generic category ('Finance & Math tool'). It does not state a specific verb+resource or distinguish this calculator from the numerous sibling finance tools like loan_calculator or retirement_calc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus other finance/math calculators. The only additional information is the cost, which is a pricing detail, not a usage guideline. No context or exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must disclose all behavioral traits. It mentions the cost of $0.001 USDC via x402, which is a useful behavioral fact, but it says nothing about the operation, side effects, or whether any permission or irreversible action is involved. This is a significant gap for a tool with an unknown function.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very brief, but the 'Other Utilities tool' phrase is redundant filler that does not earn its place. Only the cost sentence is informative, but it is unrelated to the tool's core function. The structure lacks substance and does not effectively front-load useful details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This tool has no annotations, no output schema, and a non-informative input schema. The description fails to explain what scientific_notation does, making it impossible to infer parameters or expected behavior. In the context of a large sibling list, the description is wholly inadequate for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with the description 'Tool parameters as JSON object', which conveys no real semantic information. The tool description adds no parameter names, formats, or examples, leaving the agent completely in the dark about what arguments to provide. The high schema coverage is meaningless because the existing description is a placeholder.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'scientific notation — Other Utilities tool' essentially restates the tool name without a verb or explanation of what the tool does. It fails to state that it converts numbers to scientific notation or any other concrete action, and it does not distinguish the tool from sibling utilities like convert_number_base or evaluate_math.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives such as binary_convert or other math/utilities. The description is purely nominal and gives no conditions, prerequisites, or context for invocation. The cost disclosure does not help with usage decisions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a payment requirement ('Costs $0.001 USDC via x402'), which is a behavioral trait beyond the name. However, it does not state what the operation does, whether it is read-only, what output it produces, or any side effects. With no annotations provided, the description carries full burden but only partially covers it.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
At only eight words, the description is technically concise, but it is under-specified. A concise description should pack meaningful information into few words, not omit essential details. The sentence restates the tool name and adds a category, earning little value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of parameter detail, absence of output schema, and no behavioral explanation, the description is completely inadequate for an agent to correctly invoke the tool. It does not even clarify what 'shuffle' means for text, let alone the expected input and output formats.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only defines a generic 'params' object with no field-level documentation. The description adds no information about what parameters are accepted (e.g., the text string, shuffle style). This leaves the agent completely in the dark about how to construct a valid call.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'shuffle text — Text & Encoding tool' merely restates the tool name and assigns a category. It does not explain that the tool rearranges characters, words, or lines, nor does it distinguish the operation from sibling text tools like reverse_text or encode_base64. This borders on tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the many sibling text manipulation tools. The only extra information is the cost via x402, which is a payment detail rather than usage guidance. The description does not mention exclusions, prerequisites, or alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses the $0.001 USDC cost via x402, which is useful, but nothing about side effects, default behaviors, or constraints (e.g., maximum input size, handling of Unicode). Very sparse.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but wastes words repeating the tool name. The cost note is useful, but the structure lacks essential behavioral details; it is under-specified rather than concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a generic single params object, the description is grossly inadequate. It does not explain how to specify the text or the truncation length, what the function returns, or any edge cases. The agent cannot safely invoke this tool based on the given information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has only a generic 'params' object with 'Tool parameters as JSON object' as its description, providing no actual parameter names or meanings. The tool description adds no parameter information, leaving the agent with no clue what to pass.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name ('truncate text') and adds only a generic category label ('Text & Encoding tool'). It does not specify what truncation does (e.g., cutting at a character limit, adding ellipsis) or how it differs from sibling text tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool instead of the many other text-manipulation siblings (e.g., convert_case, slugify_text, reverse_text). No mention of use cases or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only disclosed behavioral trait is the cost of $0.001 USDC via x402. No annotations exist, and the description fails to explain what the tool does, what data it returns, or any side effects. The cost disclosure is a positive addition but insufficient for fuller transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, consisting of a single sentence that includes the cost. However, its brevity borders on under-specification: it omits essential functional details while providing a few extra words that don't clarify purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a generic input schema, the description needed to explain the tool's functionality, inputs, and outputs. It fails to do so, leaving the agent with no confidence in how to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has only a generic 'params' object with no specified properties, and the description adds no information about required inputs such as age, gender, or resting heart rate. The schema description coverage is nominal but provides zero semantic value, leaving the agent without any parameter understanding.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name ('vo2max calc') and labels it a 'Health & Fitness tool,' without explicitly stating that it calculates VO2 max. This is essentially a tautology with a broad category, adding no specific verb or resource to define its function.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided for when to use this tool or how it differs from sibling health calculators such as bmi_calc or tdee_calc. There is no mention of required inputs, prerequisites, or alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must disclose behavioral traits. It does mention a cost of $0.001 USDC via x402, which is useful, but it fails to describe what happens to input, whether it is a read-only operation, output format, or any side effects. This minimal disclosure is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short and includes the cost, but it is under-specified. It lacks any structural elements that help an agent quickly understand the tool's purpose or usage. The brevity is not appropriate for a tool with zero schema detail and no annotations.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, no annotations, and a generic input schema. The description adds almost no contextual information beyond the tool name and cost. It is completely inadequate for an agent to select and invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with no specific properties, and the description does not mention any parameters or expected input format. The agent cannot determine what to pass (e.g., text, URL, file path). Parameter semantics are entirely absent.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'word length distribution' conveys the tool's focus on analyzing word lengths and producing a distribution, but it lacks a verb or explicit statement of what the tool does. It doesn't distinguish itself from siblings like word_frequency or sentence_length_analyze, though the name is somewhat self-explanatory.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the many text-analysis siblings (e.g., word_count, text_stats). The description only mentions cost and a category label, leaving the agent without any context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions a cost of $0.001 USDC via x402, which is useful, but it fails to describe the conversion operation, input requirements, output format, or any side effects. This is insufficient for a tool with no annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but under-specified rather than concise. The first sentence ('yaml to json — JSON & Data tool') is tautological and adds no value, while the cost information is the only useful part. The description should be longer to cover basic functionality and parameters.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is completely inadequate for an agent to invoke the tool correctly. It does not explain how to provide the YAML input (e.g., a 'yaml' key inside 'params'), what the output looks like, or any error handling. There is no output schema, and the generic 'params' object increases the burden, which is not met.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains a single 'params' object with the boilerplate description 'Tool parameters as JSON object'. This is a generic wrapper that does not specify the actual parameters (e.g., the YAML string to convert). The description adds no parameter information, and the schema's high coverage percentage is misleading because the 'params' object provides no semantic detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'yaml to json' merely restates the tool name and adds a generic category label 'JSON & Data tool'. It does not explicitly state that the tool converts YAML input to JSON, nor does it distinguish itself from sibling tools like json_to_yaml or process_json.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description does not mention use cases, prerequisites, or any exclusions, leaving the agent without context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a cost of $0.001 USDC via x402, which is a behavioral trait. However, no annotations are provided, and the description does not state whether this is a read-only calculation, what inputs it requires, or what the output looks like. The cost info is minimal and does not compensate for the lack of other behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence, which is efficient. However, it is under-specified; the phrase 'bmr calc' is redundant with the tool name, and the remaining content ('Health & Fitness tool. Costs $0.001 USDC via x402.') provides little substantive information. It is not bloated, but it also does not fully earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the generic schema, lack of annotations, and absence of an output schema, the description carries the full burden of explaining the tool. It fails to define BMR, list required inputs (age, sex, weight, height), describe output units, or mention any computation logic. The description is entirely inadequate for an agent to correctly select and invoke this tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only defines a generic 'params' object with the description 'Tool parameters as JSON object', offering no specific parameter names, types, or meanings. The description also provides no parameter information. Despite schema_description_coverage being 100%, it is misleading because the schema itself is a placeholder and does not describe the actual parameters needed for a BMR calculation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'bmr calc' and 'Health & Fitness tool', which restates the name and gives a broad category but does not explain what the tool actually does (e.g., calculates Basal Metabolic Rate). It fails to provide a specific verb+resource, making it effectively a tautology with a vague domain label.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool over alternatives like calculate_bmi, tdee_calc, or body_fat_calc. The only additional context is the cost, which is a payment condition, not a usage scenario. There is no mention of prerequisites, exclusions, or comparisons with sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must disclose behavior. It mentions the $0.001 USDC cost and x402 payment, which is a behavioral trait, but omits what the tool actually does, input requirements, or side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief but under-specified. It front-loads the name and includes cost, but the content is largely unhelpful, making it closer to under-specification than effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and an opaque generic parameter schema, the description is completely inadequate—it fails to explain what the tool does, how to invoke it, or what to expect in response.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only has a generic 'params' object with a placeholder description; the tool description adds no parameter-specific meaning. Schema coverage is technically 100% but uninformative, and the description does not compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description labels it 'Content & AI tool' but never states the specific action (e.g., 'generate bullet points'). It does not distinguish it from sibling content tools like summarize or paraphrase.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives. Only cost information is provided, with no context, exclusions, or examples.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a payment requirement ($0.001 USDC via x402), which is a useful behavioral trait, but it omits critical details such as input expectations, units, precision, whether it performs a network call, or what the result looks like. With no annotations provided, the description carries the full burden and falls far short.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a concise single sentence with no filler words. It front-loads the tool name and includes a cost note. However, the brevity is partly due to under-specification rather than efficient delivery of useful content, so it earns a high but not perfect score.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no specific input schema, no annotations, and no output schema, yet the description provides almost no contextual information. It fails to clarify the domain (geometry, geography, or other), units, required inputs, or relationship to sibling tools like distance_2d. This is completely inadequate for reliable tool selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Although the schema description coverage is reported as 100%, the schema only defines a generic 'params' object with no tool-specific property details. The description does not compensate by explaining what parameters calculate_distance expects (e.g., coordinates, points, units), so the agent has no meaningful semantic information beyond the name.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name ('calculate distance') and adds only a generic category label and cost. It does not specify what kind of distance is calculated (e.g., Euclidean, geographic, driving) and does not distinguish this from sibling tools like distance_2d or geolocate_ip. This is closer to a tautology than a clear functional statement.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage guidance is provided. The description offers no context about when to use calculate_distance versus alternatives, no prerequisites, and no examples. The only additional information is the cost and category, which do not help an agent decide when to invoke this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses a cost of $0.001 USDC via x402, which is useful, but provides no behavioral details about what the tool does, side effects, or return values.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but the brevity comes at the cost of substance. It does not earn its place because it fails to explain the tool's core function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, and a generic parameter wrapper, the description is far too minimal to let an agent select or invoke this tool correctly. It lacks any functional details that distinguish it from the many sibling text tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a generic 'params' object with a placeholder description ('Tool parameters as JSON object'), so schema coverage is 100% but semantically empty. The tool description does not supplement parameter meaning, so baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description labels it as a 'Text & Encoding tool' but never specifies what 'casualize' actually does. It lacks a specific verb and does not distinguish it from siblings like encode_base64 or convert_case.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or when to prefer an alternative. The description only mentions cost, not functional context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosing behavioral traits. It does disclose the cost ($0.001 USDC via x402), which is a useful operational detail, but it says nothing about the actual behavior—what inputs it takes, what it returns, or whether it has side effects. This is far from adequate for a tool with zero annotation support.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short, but under-specification is not conciseness. The phrase 'Colors & Design tool' is vague and does not earn its place, while the cost information is the only concrete detail. The brevity comes at the expense of necessary functional information, making it inadequate.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no annotations, no output schema, and a generic parameter schema, so the description is the only source of context. It is completely inadequate—it does not explain what the tool does, what inputs it requires, what outputs it produces, or any usage constraints. For a tool with such minimal structural support, this description is critically incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains a single 'params' object with the generic description 'Tool parameters as JSON object', which provides no real semantic coverage. Although the schema description coverage is reported as 100%, the description adds no information about what parameters are expected or how they should be structured. The description itself mentions no parameters, so the agent is left without any guidance on how to invoke the tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Colors & Design tool' is a broad category rather than a specific function. It does not state a verb or resource, and it fails to distinguish itself from numerous sibling color tools like convert_color, list_color_names, or complementary_color. The name 'color_named' hints at named colors, but the description offers no confirmation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool instead of alternatives. The description provides no context, prerequisites, or exclusions, leaving the agent to guess which of the many color-related tools is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description must disclose behavioral traits. It only mentions a monetary cost ($0.001 USDC via x402) but omits substance like read-only status, rate limits, external requests, or response format. This is minimal disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact, front-loaded with the tool name and category, and includes a cost note in the second part. Each word contributes, but the extreme brevity leaves out necessary information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of output schema and annotations, the description should thoroughly describe the tool's behavior, return values, and usage context. It does none of that, leaving the agent with almost no actionable information beyond the tool name and cost.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' field described as 'Tool parameters as JSON object', which adds no value about what parameters are actually expected. The description does not compensate or clarify any parameter details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'crawl website' and labels it a 'Web & SEO tool', but it does not explain what crawling actually entails (e.g., extracting links, analyzing a site's structure). It fails to differentiate itself from sibling tools like web_scrape or read_url, so the purpose remains vague.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives such as web_scrape or get_og_metadata. There is no mention of valid use cases, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full responsibility for disclosing behavior. It does reveal a cost and payment method ($0.001 USDC via x402), which is useful, but it fails to mention whether the tool is read-only, requires authorization, has side effects, or returns any specific format. The 'Data & Weather tool' phrase is vague and potentially misleading, offering no concrete behavioral insight.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded with the name, but it includes the phrase 'Data & Weather tool' which is too vague to earn its place. The cost information is relevant. Overall, it is concise but under-specified, leaning toward insufficiency rather than efficient clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's name and the large sibling set, the description is far from complete. There is no actionable information about purpose, inputs, outputs, or behavior. With no output schema, no annotations, and a generic input schema, the description leaves an agent unable to safely or correctly invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no property definitions, so it provides no parameter meaning. The description adds no parameter information either; it doesn't even hint at what inputs might be required (e.g., currency codes, dates). This leaves the agent completely uninformed about how to construct a valid request.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'currency cross — Data & Weather tool' does not clearly state what the tool does. It offers a category label ('Data & Weather tool') and a cost, but no verb or resource indicating the action. The name 'currency_cross' hints at currency exchange, but the description does not confirm this, leaving ambiguity and lacking distinction from siblings like 'convert_currency' or 'get_weather'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage guidance is provided. The description does not mention when to use this tool, what prerequisites exist, or alternatives. It only states a price, so an agent has no basis for choosing this tool over similar ones.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are available, so the description must disclose behavioral traits. It does mention the cost ($0.001 USDC), which is a useful side effect, but it does not describe what the tool does beyond the implied lookup, whether it makes network requests, or how data is handled. This is very thin behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very brief, which helps conciseness, but it is under-specified. It includes useful context like cost and security/network category, yet restates 'dns lookup' with little additional value. It is not well-structured to support tool selection.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a generic input schema, the description is far too minimal to guide proper use. The agent cannot infer required inputs, return values, or usage constraints, making it almost completely inadequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only defines a generic 'params' object with no specific properties, so the description needed to explain what parameters are expected (e.g., domain name, record type). It does not, leaving the agent with no information about how to construct the invocation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'dns lookup' which restates the tool name, and adds a vague category 'Security & Network tool'. This gives a minimal sense of purpose but does not specify what kind of DNS lookup (e.g., A, MX, TXT records) or how it differs from sibling tools like reverse_dns_lookup or dns_whois_lookup.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage guidance is provided. The description does not mention when to use this tool versus alternatives such as reverse_dns_lookup or whois, nor any prerequisites, scenarios, or context where it would be the appropriate choice.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It only reveals the cost ($0.001 USDC via x402) and general category, but fails to describe what actions the tool performs, what inputs it expects, or what output it returns. The cost disclosure is useful but insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief, but its brevity stems from under-specification rather than effective conciseness. It reads as a label, not a functional description, and does not provide enough substance to be useful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given a generic schema, no annotations, and no output schema, the description is drastically incomplete. It neither explains the tool's purpose, input requirements, return behavior, nor differentiates it from many sibling network/security tools. The agent would have to guess almost everything.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is a generic wrapper ('params' object) with no specific property names or descriptions. The description does not mention a domain name parameter or any other required input, leaving the agent without clues about what to pass.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('domain age') and categorizes it as a 'Security & Network tool' without stating what the tool does. There is no verb or explicit resource indicating the function of checking a domain's age.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like whois or dns_lookup. There are no prerequisites, scenarios, or exclusion criteria mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It mentions the cost ($0.001 USDC via x402), which is a useful behavioral trait, but it does not disclose the actual operation, expected inputs, output format, or side effects. This is a significant gap for a tool that presumably mutates or transforms input data.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded with the name, but it is under-specified. The phrase 'Text & Encoding tool' is redundant and adds little value, while critical information about inputs/outputs is omitted. This is not effective conciseness but rather incompleteness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given there is no output schema and no annotations, the description must be self-sufficient, but it fails to explain how to invoke the tool correctly. It does not mention the expected input structure, encoding behavior, or return values, making it impossible for an agent to use the tool without additional information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema describes a single 'params' object with the generic description 'Tool parameters as JSON object', which is not semantically meaningful. The tool description adds no information about what parameters should be provided (e.g., the text to encode). While schema coverage is technically 100%, the description does not compensate for the schema's lack of actionable detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'encode base85' merely restates the tool name, making it tautological. Adding 'Text & Encoding tool' is a generic category that doesn't specify what the tool does (e.g., encoding text to base85) and doesn't differentiate it from siblings like encode_base64 or encode_base32.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives such as encode_base64 or encode_base32. The description lacks any context about use cases, prerequisites, or exclusions, leaving the agent without direction on tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses only the $0.001 USDC cost via x402, but gives no indication of behavior, side effects, expected outputs, or failure modes. With no annotations available, the description leaves the agent completely in the dark about what invoking this tool entails.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but the brevity is due to under-specification rather than effective conciseness. It repeats the tool name and adds a cost line, offering no structured information about purpose, usage, or inputs. Every sentence is nearly redundant or uninformative.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a potentially complex entity extraction tool with no output schema, detailed parameters, or annotations, the description is severely incomplete. The agent has no information about return format, accepted input structure, or operational constraints, making correct invocation impossible.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% (one generic 'params' object), so the baseline is 3. However, the description adds no detail about what to place inside the params object, and the schema itself is just a placeholder. The description neither enhances nor harms parameter understanding, leaving it at the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name ('extract entities') and places it in the 'Other Utilities' category, without specifying what kinds of entities are extracted or how the tool operates. It does not differentiate itself from sibling tools like extract_contacts, keywords, or classify, making the purpose nearly tautological.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage guidance is provided. The description mentions only the cost and category, failing to indicate when to choose this tool over alternatives such as extract_contacts, summarize, or classify. There is no context about prerequisites, input requirements, or typical use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a cost of $0.001 USDC via x402, which is a useful behavioral detail. However, with no annotations and no explanation of side effects, return formats, or data handling, the behavioral transparency is very minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short but under-specified rather than concise. The first half is redundant with the tool name, and the only informative part is the cost mention. It is not front-loaded with useful content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a generic parameter object, the description provides almost no context about functionality, inputs, or outputs. For a tool named 'filter_data', this is a critical gap that makes the tool nearly unusable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with the description 'Tool parameters as JSON object', which provides no meaningful guidance. The tool description adds no parameter details, so the agent remains unaware of what keys or structure to supply.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description simply repeats the tool name ('filter data') and adds a broad category label ('Other Utilities tool'). This is a tautology that provides no specific information about what filtering operation is performed or on what data.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus any other utility. The description does not mention context, prerequisites, or alternative tools, leaving the agent without any basis for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is 'Costs $0.001 USDC via x402,' which usefully reveals the payment requirement. However, with no annotations, the description still fails to disclose what the tool does, what it returns, or any side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but the first sentence is largely a tautology of the tool name and category. The cost sentence provides some value, but overall the brevity comes at the expense of useful detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no annotations, the description carries the full burden of explaining functionality and parameters. It is entirely inadequate for an agent to understand what 'short words' means, what input to provide, or what output to expect.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with the description 'Tool parameters as JSON object.' The description adds nothing about what parameters are expected or how to specify word length, so it provides no meaningful guidance beyond the schema's placeholder.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'find short words — Other Utilities tool' essentially restates the tool name and adds only a generic category. It doesn't define what qualifies as 'short' or distinguish this from sibling tools like find_long_words.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool versus other text-utility alternatives. The phrase 'Other Utilities tool' does not provide context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of transparency. It discloses the cost ('$0.001 USDC via x402') but omits output format, whether multiple IDs are generated, randomness properties, or side effects, leaving critical behavioral details unknown.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not concise in substance: the first phrase is a tautology ('generate ulids — Generators tool') that wastes space. The cost note is useful, but the overall text is under-specified and not well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema and a generic input schema, the description should explain parameters and return value. It only mentions the price, leaving the tool's interface and result entirely unspecified, making correct invocation impossible.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The only parameter is a generic 'params' object with a placeholder description ('Tool parameters as JSON object'), and the tool description never mentions actual parameters like count or format. The agent has no clue what to pass, so the schema description provides no meaningful semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description repeats the tool name ('generate ulids') and labels it a 'Generators tool' without explaining what a ULID is or its distinguishing properties. This is essentially tautological, offering no more clarity than the name itself.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. Sibling tools like generate_uuid and generate_nanoid exist, but the description gives no criteria for selection, exclusions, or preferred scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full responsibility. It only states it's a Data & Weather tool and the cost; it does not disclose whether it is read-only, what data it returns, what input it expects, or any side effects. The agent has no idea what the tool actually does beyond the name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and includes a useful cost detail, but the first sentence just restates the tool name and category. It is concise but under-specified; the brevity is not appropriately structured because it lacks essential information about the tool's function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's likely need for parameters (date, location) and the lack of an output schema or annotations, the description is completely insufficient. It does not explain the return value, expected inputs, or use case, making it impossible for an agent to understand the tool's full context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema defines a single generic 'params' object with no specific fields, and the description adds no parameter details. The schema description 'Tool parameters as JSON object' is a placeholder, and the description does not compensate by explaining what parameters are needed (e.g., date, location). The agent cannot determine how to invoke the tool correctly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'get season — Data & Weather tool' clarifies the general domain (weather) but leaves the exact function ambiguous. It does not explain what 'season' refers to (e.g., meteorological season for a date/location) or distinguish it from sibling tools like get_weather or get_forecast. It is more than a tautology but still vague.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool or how it compares to alternatives. It only mentions cost, not context or exclusions. There is no 'when to use' vs 'when not to use' language.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It discloses a monetary cost ($0.001 USDC via x402), which is useful, but gives no information about side effects, required location data, or rate limits. The single behavioral trait is insufficient for an agent to understand the tool's operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, which is efficient, but it sacrifices necessary information. The cost mention is a useful single detail, but the redundancy of 'get weather' and 'Data & Weather tool' wastes a clause. It is not well-structure for agent decision-making.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and a generic param wrapper, the description must compensate by explaining inputs, output, and behavior. It does none of that. Weather tools typically require location and can return multiple data types, so the absence of any such detail makes this tool unusable for an agent without outside knowledge.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only defines a generic 'params' object with description 'Tool parameters as JSON object,' which reveals nothing about actual required or optional fields. The description similarly adds no parameter details, leaving the agent with zero guidance on what to pass. Effective schema coverage is near zero despite the 100% literal coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'get weather — Data & Weather tool,' which essentially restates the tool name without specifying scope, input requirements, or what weather data is returned. It does not distinguish from sibling tool 'get_forecast' which likely has overlapping functionality.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives like 'get_forecast' or 'get_air_quality'. The description only mentions cost, not use cases or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must explain behavior. It only mentions the $0.001 USDC cost via x402, but does not disclose whether the tool performs generation, analysis, or other side effects, nor what it returns.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded with the name, but the first clause is a vague label that doesn't add useful information. The cost detail is concrete, but the overall description wastes the opportunity to be informative.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is a likely content-generation utility, but with no output schema, no parameter details, and no usage guidance, the description is severely incomplete for an AI agent to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with no property definitions, and the description does not explain what parameters are needed. The cost note does not clarify parameter requirements.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description labels 'headline' as a 'Content & AI tool' but does not state a specific action, such as generating or optimizing headlines. It fails to distinguish itself from many content/AI siblings like summarize or paraphrase.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool or how it compares to alternatives like summarize or paraphrase. The description lacks any context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral detail is the cost ($0.001 USDC via x402). It does not disclose input requirements, output format, or any side effects beyond payment. Without annotations, this is insufficient transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence and front-loads the tool name, but it is under-specified rather than concise. It includes cost information, which is relevant, but omits functional details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the generic schema and lack of annotations or output schema, the description fails to provide enough context for correct invocation. It does not explain what input the tool expects, what it returns, or how the payment mechanism works.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema exposes a generic 'params' object with no specific fields. The description does not mention any parameters or example inputs, so the agent cannot determine what arguments to pass. Schema coverage is nominal but not informative.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool's name ('invert case') and labels it a 'Text & Encoding tool' but never states what 'invert case' does (e.g., swapping letter case). It fails to distinguish from sibling tools like swap_case or convert_case.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool over alternatives. It only mentions the cost, which is not a usage criterion.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost: 'Costs $0.001 USDC via x402.' No annotation is provided, and the description fails to mention whether the tool is read-only, what inputs it expects, or what the output contains. This is minimal transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise at two sentences, but the first sentence ('ipv6 expand — Security & Network tool') is a tautology that wastes the reader's attention. The cost disclosure is the only substantive information. It is short but not effectively structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and only a vague description, the agent cannot determine how to invoke the tool correctly. The tool likely needs paramters like an IPv6 address, but nothing in the description or schema clarifies this. The description is grossly inadequate for a tool with any input requirements.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is a generic wrapper with a single 'params' object that has no specific properties. The description adds no parameter information, leaving the agent completely unaware of what fields to supply, such as an IPv6 address string. Schema coverage is effectively meaningless when the schema itself is empty.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'ipv6 expand — Security & Network tool' which simply restates the tool name and adds a vague category. It does not specify that the tool expands abbreviated IPv6 addresses to their full representation, nor does it distinguish from similar tools like ipv4_subnet or dns_lookup.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The phrase 'Security & Network tool' is a category label, not usage guidance. It does not mention use cases, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Without annotations, the description must disclose behavior but only mentions the cost and payment mechanism. It doesn't explain what actions an audit performs, whether it is read-only, or what response to expect.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is brief and the cost detail is useful, but the opening 'kronos audit' is redundant with the tool name. It is concise but sacrifices necessary substance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and a generic parameter wrapper, the description is severely incomplete. It doesn't explain what the audit returns, what inputs it accepts, or how it differs from the many related kronos tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no defined properties. The description does not list any expected fields, so an agent has no way to construct correct arguments.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description labels the tool as 'Kronos Market Intel tool' but doesn't state a specific verb or resource. 'Audit' is not defined, and there is no differentiation from sibling kronos_* tools such as kronos_signals or kronos_forecast.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus the many sibling kronos tools. The only operational info is the cost, which doesn't help with selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a cost of $0.001 USDC via x402, which is a useful behavioral trait beyond the schema. However, with no annotations, the description carries the full burden for transparency; it omits basic behavior such as whether it is read-only, what data it returns, or any side effects, leaving the agent largely in the dark.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not effective. The first sentence 'kronos history — Kronos Market Intel tool' restates the tool name and adds no new information, while the cost sentence is the only useful part. It could be more concise by removing the redundant first clause.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The context is complex: many sibling kronos tools exist, no annotations are provided, no output schema exists, and the input schema is generic. The description fails to explain the purpose of 'history', what parameters go inside the params object, what output to expect, or when to choose this over siblings, making it severely incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one parameter 'params' described as 'Tool parameters as JSON object', which gives 100% coverage. The description adds no parameter-specific meaning, so the schema carries the load; baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description identifies the tool as a 'Kronos Market Intel tool' but does not state what 'history' does, such as retrieving past market data. It fails to distinguish it from sibling tools like kronos_signals or kronos_forecast, which also fall under the same market intel umbrella.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool instead of alternatives. The description does not mention any context, prerequisites, or exclusions relative to the many sibling kronos tools, leaving the agent without decision criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost of $0.001 USDC via x402. With no annotations, the description fails to state whether the operation is read-only, what data it returns, or if authentication is required.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is under-specified: the phrase 'list currencies' is redundant with the tool name, and the cost line is the only unique information. It lacks substance despite being short.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool that lists currencies, there is no mention of the response format, whether it lists fiat/crypto, or how to invoke it with the generic params object. The absence of output schema and meaningful parameter info makes the description inadequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains a single generic 'params' object with no tool-specific properties. The description adds no parameter details, leaving users without any indication of what arguments to provide.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description begins with 'list currencies', which is a direct restatement of the tool name. The added 'Data & Weather tool' provides a category label but does not clarify what currencies (fiat/crypto) or what output format to expect. This is tautological.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus the many sibling tools like convert_currency or currency_cross. There is no mention of prerequisites, alternatives, or typical use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full burden of behavioral disclosure. It does add a useful cost detail ('$0.001 USDC via x402') but omits critical behaviors such as input requirements, output format, potential side effects, or payment failure handling. The cost-only disclosure is minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but under-specified. While there is no wasted text, the first phrase largely repeats the tool name and the second only shares cost. This is not appropriate conciseness; it lacks essential content despite its brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, no annotations, and a generic parameter wrapper, the description is severely incomplete. It fails to explain what the tool does, how to invoke it, what to expect in return, or how it differs from many similar content/AI sibling tools. This is inadequate for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object described as 'Tool parameters as JSON object,' offering no real parameter semantics. The description does not compensate by explaining what parameters are expected (e.g., text to paraphrase, style, length). Thus the agent cannot determine how to construct a valid request.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description begins with 'paraphrase — Content & AI tool,' which merely restates the tool name and adds a generic category. It does not explicitly state what the tool does, such as rewriting input text while preserving meaning. This provides no meaningful purpose beyond the name itself.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool versus alternatives like summarize, translate, or explain. There is no mention of use cases, exclusions, or alternative tools, leaving the agent without direction for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the transparency burden. It mentions the x402 payment cost, which is a behavioral trait, but it does not disclose what the tool actually does, what inputs it expects, what output format it produces, or any side effects. This is far too little for an unannotated tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but it is under-specification rather than effective conciseness. The first sentence merely restates the category from the name, and the second provides pricing, neither of which helps an agent understand or invoke the tool. The two sentences do not earn their place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a tool with a nested params object, no output schema, and no annotations, so the description must compensate for all missing context. It fails to explain what temperature conversions are supported, how to structure the input, or what the tool returns. The description is completely inadequate for reliable tool selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema contains only a generic 'params' object with a placeholder description ('Tool parameters as JSON object') and no properties. Although schema coverage is marked 100%, it is superficial. The description adds no meaning about what keys or values the params object should contain for temperature conversion, so the agent cannot infer invocation details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only says 'Converters tool' which is a generic category label, not a specific verb+resource. The name 'temperature_all' hints at temperature conversion, but the description never explicitly states that it converts temperatures or across which scales.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the many other converter tools in the sibling list (e.g., convert_units, speed_convert, color_temperature). The only additional context is the cost, which is a billing detail, not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only disclosed behavioral trait is the $0.001 USDC cost via x402. With no annotations, the description carries the full burden for revealing side effects, input requirements, or limitations, but none of that is provided.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, but it is under-specified rather than concise. 'Content & AI tool' adds little value, and the cost note is the only substantive information, so the text does not earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For an AI content tool with no annotations, no output schema, and vague schema, the description is completely inadequate. It fails to explain the tool's function, input format, output, or relationship to similar tools, making it impossible for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema contains only a generic 'params' object with no meaningful field descriptions, and the tool description adds no parameter details. Although schema coverage is nominally 100%, the actual parameter semantics are undocumented, leaving the agent without guidance on what to supply.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only says 'Content & AI tool' and mentions cost, but never states what the tool actually does. The name 'tldr' hints at summarization, but the description itself provides no verb or resource, making it nearly tautological and indistinguishable from siblings like summarize.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given for when to use this tool versus alternatives. There is no mention of use cases, exclusions, or related tools, so an agent gets no help in choosing between tldr and summarize or other content tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations present, the description must disclose behavior. It reveals that the tool costs $0.001 USDC via x402, which is a useful behavioral detail, but says nothing about network calls, side effects, return format, or authentication. The behavior of the verification itself remains completely opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no wasted words, and it front-loads the tool name. However, it is too under-specified to be useful; the conciseness comes at the cost of meaningful content, so it cannot receive a high score.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the paid nature of the tool, the generic schema, and no output schema, the description should explain inputs, outputs, and relation to similar email tools. It provides none of these, making it inadequate for an agent to select and invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only defines a generic 'params' object with no internal properties, so actual parameters are undocumented. The description adds no parameter information. Schema coverage is effectively zero for the real inputs, and the description fails to compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name ('verify email') and adds only a category label and cost. It does not explain what verification means (syntax, deliverability, mailbox existence) or distinguish it from the sibling 'validate_email' tool. This is effectively a tautology with pricing appended.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool over alternatives like 'validate_email' or 'email_domain_check'. The only additional information is the cost, which is a constraint rather than usage context. There is no mention of prerequisites or appropriate scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral trait disclosed is the cost ($0.001 USDC via x402), which is useful but insufficient. There is no mention of side effects, permissions, input format, or return behavior. Since no annotations are provided, the description carries the full burden and fails to convey what happens when the tool is invoked.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very brief, but the content is mostly a repetition of the tool name and a cost statement. It is not overly verbose, yet the limited content borders on under-specification rather than conciseness. The cost information earns its place, but the rest adds little value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, no annotations, and a trivial generic schema, leaving the description as the sole source of guidance. The description fails to explain what the tool does, what inputs it requires, or what the output will be. It is completely inadequate for a tool that needs structured parameters to function.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object with no specific fields, and the description adds no parameter details. The agent has no way to know what inputs (e.g., waist measurement, hip measurement) are expected. Schema coverage is technically 100% but only because the sole property is a placeholder, so the description must compensate and does not.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name 'waist hip ratio' without adding a verb or clarifying what it does. The phrase 'Other Utilities tool' is a category label, not a functional explanation. This is a tautology that fails to specify that it calculates or computes a waist-to-hip ratio.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like calculate_bmi or body_fat_calc. There is no mention of context, exclusions, or preferred scenarios. The description only notes the cost, which is irrelevant to usage selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does disclose a significant behavioral trait: the cost of $0.001 USDC via x402. However, it mentions no other behavior, side effects, or data handling, leaving most of the behavioral profile unknown.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but the first clause 'water intake calc' is redundant with the tool name and adds no value. The cost information is useful, but the overall structure under-delivers on clarity and wastes space on a restatement.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a calculator tool with no output schema and no annotations, this description is grossly insufficient. It lacks any specification of input parameters, calculation method, return format, or example usage. The cost is the only concrete detail, leaving an agent with almost no basis to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is generic with a single 'params' object that has no internal properties. The description adds no details on what keys or values the params object expects (e.g., weight, age, activity level). Despite 100% schema description coverage, the schema is essentially a placeholder and the description does nothing to compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'water intake calc' and 'Health & Fitness tool', but it never states a verb or what calculation is performed. It essentially restates the tool name and adds a broad category. This does not distinguish it from sibling calculators like calculate_bmi or tdee_calc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool, what inputs are required, or when alternatives should be considered. Among the many sibling calculator tools, no conditions or exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must carry the burden of behavioral disclosure. It only mentions a cost and payment method (x402), but does not explain what the tool does, what inputs it expects, what it returns, or any side effects. The cost disclosure is the only behavioral trait, so a score of 2 reflects the minimal value added.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief, but brevity here is under-specification rather than conciseness. It only repeats the tool name and a category label, plus cost, without providing substantive information. Every word is not earning its place because it does not help an agent understand the tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema and only a generic params placeholder, the description should explain the purpose, input expectations, output format, and any constraints. It covers none of these. The missing information makes this description inadequate for an agent to select and invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with a placeholder description, and the tool description adds no information about actual parameters. Even though schema coverage is marked 100%, the generic schema provides no real semantics, so the description was expected to compensate but does not.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'Colors & Design tool' which indicates a broad category but not a specific action. It doesn't clarify whether this tool generates, converts, or lists web-safe colors, and it fails to distinguish itself from the many sibling color tools such as convert_color, random_color, or color_palette. The verb is missing entirely.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus the numerous sibling color tools. The only extra information is the cost, which is not a usage guideline. There is no mention of context, alternatives, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses a financial cost ($0.001 USDC via x402), which is a useful behavioral trait, but gives no information about safety, side effects, or whether it requires authentication. The description is minimal beyond the cost, leaving key behaviors undisclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is appropriately brief and front-loaded, with two short segments. However, it is under-specified rather than effectively concise; every sentence states trivial information (name and cost). It is not bloated, but it fails to provide essential context within its brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the generic schema, lack of output schema, and many sibling tools, the description is highly incomplete. It leaves an agent to infer what the tool does, what parameters to pass, and what to expect in return. The only concrete additional context is the cost, which is insufficient for reliable invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains a single 'params' object described only as 'Tool parameters as JSON object,' which provides no specific parameter names or semantics. The tool description does not compensate by explaining expected fields (e.g., 'text'). While schema coverage appears high, the description is merely a placeholder and offers no actionable parameter meaning.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'word frequency — Other Utilities tool' merely restates the tool name and places it in a broad category. It lacks a verb or explicit function, such as 'Counts word occurrences in text,' and does not distinguish it from sibling tools like word_count or keyword_density. This is closer to a tautology than a clear purpose statement.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description does not mention the type of input (e.g., text) nor compare it to other text-analysis utilities. An agent receives no context for tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the cost ($0.001 USDC) and does not explain what actions the tool performs, whether it has side effects, what it returns, or any prerequisites or error conditions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief but not effective; the first sentence is redundant with the tool name, and the only substantive piece (cost) is not front-loaded for utility. It is under-specified rather than concisely informative.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a payment verification tool with no output schema and no annotations, the description is severely incomplete. It fails to convey what the tool does, what input it expects, or what the agent can expect as output, making it inadequate for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one generic 'params' object with 100% coverage, so the baseline is 3. The description adds no parameter-level detail, but the schema itself is already minimal; no extra meaning is provided beyond the JSON wrapper.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description's first sentence 'x402 verify payment' merely restates the tool name without clarifying what 'verify payment' means in practice. It does not distinguish this tool from its siblings like x402_payment_request or x402_pricing, and the added 'x402 & Wallet tool' is vague.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description does not explain whether this is for confirming completed payments, validating payment requests, or other scenarios, leaving the agent without usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden. It discloses pricing ('$0.001 USDC via x402') but says nothing about what the tool does, whether it is read-only, side effects, permissions, or output behavior. This is insufficient for a calculation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short (one line), but the opening 'cagr calc' is redundant with the tool name. The cost information earns its place, but the overall brevity sacrifices substance for conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is critically incomplete for a tool that accepts a nested object parameter and has no output schema. It fails to specify input format, expected fields, result structure, or disambiguate from numerous sibling finance tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single 'params' object with description 'Tool parameters as JSON object,' giving 100% schema coverage. Baseline 3 applies, but the tool description itself adds no parameter-level meaning, leaving the required nested attributes unknown.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name ('cagr calc') and vaguely labels it as a 'Finance & Math tool' but does not state that it calculates CAGR or any specific operation. It lacks a clear verb+resource and fails to distinguish it from siblings like compound_interest.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus similar finance/math tools. The description only mentions cost and category, offering no context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the transparency burden. It discloses a cost of $0.001 USDC via x402, which is a useful behavioral trait. However, it does not state that the operation is read-only, does not modify data, or what the return behavior is. The cost disclosure is the only behavioral information.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification rather than conciseness. It front-loads the tool name and then adds cost information, but omits essential details about usage or parameters. The structure is not helpful for an agent; it reads as a label rather than a functional guide.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This tool is completely inadequate for invocation. There is no output schema, no real parameter definitions, and the description gives no clue about expected inputs or return format. For a calculator, the agent needs to know what numbers to supply; this description provides none of that. The cost note is irrelevant to operation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single 'params' object that is described only as 'Tool parameters as JSON object', providing zero information about actual required fields. Although schema coverage is literally 100%, the description is generic and the tool description adds no parameter meaning. An agent cannot infer what values to pass (e.g., n and r for combinations).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'calculate combinations' which is a verb+resource, but it merely repeats the tool name without elaboration. It gives no detail on what kind of combinations (e.g., n choose k, permutations vs. combinations) or what input is expected. The phrase 'Other Utilities tool' places it in a category but does not distinguish it from sibling utilities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or how it differs from other calculators. No mention of prerequisites, alternative tools, or exclusions. The description provides no context for an agent to decide between this and sibling math tools like factorial_calculator or prime_operations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description must disclose behavior. It only reveals that use costs $0.001 USDC via x402, but omits output behavior, required prerequisites, or side effects. The payment detail is the sole behavioral transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded with no wasted words, but its brevity comes at the cost of substance; the only informative addition is the cost.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema or annotations and a one-line tautological description, this tool is not adequately specified for correct invocation. The agent lacks input format, return value, and use context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has only a generic `params` object with no substantive properties. The description adds no parameter meaning, so an agent cannot determine what to pass to calculate entropy. Despite high wrapper coverage, the actual payload is undefined.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('calculate entropy') and adds a category label/cost; it does not specify what entropy is calculated on or how this tool differs from sibling utilities like hash_text.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool or alternatives; among many sibling utilities, there is no mention of input types or use cases. The cost note does not help selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost ($0.001 USDC via x402), which is a non-obvious behavioral trait not covered by annotations. However, it fails to mention any other behavioral aspects such as input format requirements, potential side effects, or whether it is a read-only operation. The core operation is only implied by the name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short but not effectively concise: the phrase 'Converters tool' is redundant with the tool name and adds no value. While it is front-loaded, the sentence does not earn its place, resulting in under-specification rather than efficient brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a generic params schema, the description needed to compensate by explaining usage and expected inputs. It only provides cost information, leaving the tool completely under-specified for an agent to select and invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only exposes a generic 'params' object with the description 'Tool parameters as JSON object', providing no actual parameter details. The description adds nothing about required or optional parameters, so an agent has no information about what inputs are needed to perform the conversion.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'convert number base' is nearly identical to the tool name, making it a tautology rather than an explanation. The additional phrase 'Converters tool' is generic and does not distinguish this tool from the many other conversion siblings like binary_convert or convert_units.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like binary_convert, hex_to_hsl, or other base-conversion utilities. There are no usage scenarios, exclusions, or alternative tool recommendations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden; it reveals only the $0.001 USDC cost via x402, but not whether this is a read-only lookup, what data it returns, or any rate/authorization constraints. The 'Security & Network tool' tag adds no operational behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, but it is more of a title fragment than a useful description. It is not bloated, yet it undersells the tool by omitting functional substance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and an empty generic input schema, the description needed to carry the tool's full context. It only provides a category and cost, leaving the agent without enough information to select or invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema presents only a generic 'params' JSON object with no domain-specific keys, and the description adds no parameter meaning. Despite 100% schema coverage, the coverage is a placeholder, so an agent cannot infer what fields (e.g., domain/IP) to supply.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'dns whois lookup' restates the tool name and only adds a generic category ('Security & Network tool'). It does not specify the action or resource clearly and does not distinguish from sibling tools like dns_lookup or whois.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives; there is no mention of dns_lookup, whois, or reverse_dns_lookup. Only cost is stated, not usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are absent, so the description carries the full burden. It discloses the cost ($0.001 USDC via x402) which is a useful behavioral trait, but nothing else about the tool's operation, such as whether it makes external calls, whether it requires authentication, or what side effects it has. The core behavior is only implied by the name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short and front-loaded, but the first sentence merely repeats the name. It earns its place only partially because it adds the category and cost. For a tool that needs more explanation, this brevity is under-specification rather than effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a generic nested param schema, the description is severely incomplete. It doesn't explain what SEO metadata is generated, what input fields are needed, or what the response looks like. The tool is as opaque as the ones in the lowest tier.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with the description 'Tool parameters as JSON object', which provides no semantic detail. The tool description adds nothing about what parameters should be included. Although schema coverage is technically 100%, the description is boilerplate, so the agent has no idea what to pass. Following the rubric, a baseline of 3 is applied since coverage is high, but the actual value is marginal.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name ('generate seo metadata') and adds a vague category ('Web & SEO tool'), but never specifies what kind of SEO metadata is generated, what inputs it requires, or what outputs it produces. This is essentially a tautology and does not distinguish it from sibling tools like get_og_metadata or scrape_meta_tags.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool or how it differs from the many other web/SEO tools in the sibling list. There are no examples, prerequisites, or exclusion criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost: 'Costs $0.001 USDC via x402.' No information is provided about side effects, return format, error conditions, or any operational behavior. With no annotations, the description carries the full burden, and it only partially satisfies it by mentioning the fee.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, but the first sentence 'lookup mime type' is redundant with the tool name. The second sentence about cost is useful. There is no unnecessary elaboration, but the redundancy prevents a higher score.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has no annotations, no output schema, and a generic params object, the description should explain the tool's purpose, inputs, and output. It only provides a name restatement and cost, leaving the tool poorly contextualized among its many siblings. This is insufficient for an agent to confidently select and invoke it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema defines a single generic 'params' object with no described properties, and the description does not explain what parameters the tool expects. The schema description coverage is technically 100% but only because the wrapper parameter has a generic description. The tool name suggests it needs a MIME type or file extension, but no such guidance is given, leaving an agent unable to construct a valid call.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'lookup mime type' is essentially a restatement of the tool name, providing no additional detail about the specific function or scope. It does not distinguish itself from sibling tools like lookup_html_entity or lookup_http_code, only categorizing itself as an 'Other Utilities tool.' This is a tautology rather than a clear purpose statement.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus alternatives. It does not mention the type of input required (e.g., file extension, MIME type) or any use cases. The sibling list includes many other lookup tools, but there is no differentiation or contextual advice.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does mention the cost ($0.001 USDC via x402), which is useful, but it omits the core behavior entirely: what inputs are required, what calculation is performed, what the output looks like, or any side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is brief and front-loaded with the name, but the first clause is tautological and wastes space. The cost information is concise and useful, so the overall length is appropriate, but there are clear content gaps that brevity does not excuse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema, no annotations, and a generic input schema, the description is severely incomplete. It says nothing about the formula, parameter structure, units, return value, or how this tool differs from the many other calculators in the sibling list, making it nearly impossible to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only provides a generic 'params' object with no specific properties, and the description does not compensate by explaining expected fields (e.g., mass, velocity) or units. Although schema coverage is nominally 100%, the schema adds no real semantic value, and the description fails to fill that gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name ('momentum calc') and places it in a generic category ('Other Utilities tool'), without any verb or explanation of what the tool actually does. It does not distinguish this from the many other calculator tools in the sibling list (e.g., loan_calculator, compound_interest).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description gives no context about use cases, prerequisites, or exclusions, leaving the agent to infer from the name that it computes momentum.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden. It adds only a cost note ('Costs $0.001 USDC via x402') and a vague category label, but discloses nothing about the tool's behavior—such as whether it is read-only, what side effects exist, or what the output format is. This is insufficient for an agent to anticipate consequences.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence, which is concise in length but not in substance. It lacks essential information and reads as under-specification rather than efficient communication. While there is no bloat, the brevity is not a virtue because it omits critical details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, output schema, and specific parameter definitions, the description is far from complete. An agent has no way to infer the tool's purpose, inputs, or outputs, making it inadequate for reliable invocation. The name provides a hint, but the description fails to deliver sufficient context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no property descriptions, and the description provides no hints about expected keys or their meanings (e.g., cycle_length, last_period_date). Neither the schema nor the description offers meaningful guidance on how to structure the parameters, so an agent cannot know what to pass.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only states 'ovulation calc — Other Utilities tool' which merely restates the tool name and its generic category. It does not specify what the tool does (e.g., calculates ovulation dates, fertile windows), nor does it distinguish it from health-related siblings like calculate_bmi or tdee_calc. This is a tautology with minimal added meaning.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage context is provided. The description does not indicate when to use this tool versus alternatives, what inputs are required, or any prerequisites (e.g., knowing cycle length or last period date). It offers no guidance on selection, making it unhelpful for an agent deciding between this and other calculators.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries full burden for behavioral disclosure. It only reveals the payment requirement ($0.001 USDC via x402), which is useful, but it does not disclose the actual behavior, side effects, or return format for a palindrome check.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise at one sentence, but it is under-specified rather than efficiently informative. The cost and category information are present but do not substitute for missing functional details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and only a generic parameter wrapper, a full, clear description is essential. This description is far from complete: it names the tool, costs, and category, but does not explain what the tool does or how to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100% for the single generic 'params' property, so the baseline is 3 per the rubric. However, the description adds no tool-specific parameter meaning; 'palindrome check' only vaguely hints that the input is a text value to test.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a restatement of the tool name ('palindrome check') rather than an explanation of what it does. It identifies the tool as an 'Other Utilities' tool, but provides no verb or resource to clarify the action or output.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description offers no guidance on when to use this tool compared to alternatives. It names a category ('Other Utilities') and mentions cost, but does not state use cases, conditions, or exclusions, nor does it reference sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must bear the full burden of behavioral disclosure. It does mention the cost ($0.001 USDC via x402), which is useful, but it omits any side effects, permissions, required network access, or what the tool actually does besides 'check'. This leaves the agent guessing about the operation's impact.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but the first phrase 'port check' is redundant with the tool name, detracting from value. The cost information is the only substantive detail. It is concise but under-specified, not a model of efficient clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema and the description does not explain return values, expected input structure, or how it differs from similar network tools. The cost mention is the only completion, leaving the tool largely undefined for an agent to invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with a self-referential description ('Tool parameters as JSON object'), providing no actual parameter names or types. The description adds no parameter information, so the agent cannot construct a valid request (e.g., knowing to pass a host and port).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'port check — Security & Network tool' essentially restates the tool name with a broad category. It does not specify what aspect of a port is checked (e.g., open/closed, service detection, firewall rules), making it a tautology rather than a clear functional explanation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus the many sibling network tools (ping, traceroute, dns_lookup). The only context is the 'Security & Network tool' category, which is too vague to inform selection. No alternatives or exclusions are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral trait disclosed is the cost of $0.001 USDC via x402. With no annotations, the description should disclose what the tool actually does, but it does not explain side effects, required permissions, or what happens with different inputs.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and to the point, but the first part is tautological and the cost is the only concrete detail. It is not front-loaded with actionable information, though it avoids unnecessary verbosity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no annotations, the description is grossly incomplete. A user cannot determine how to invoke the tool, what arguments to pass, or what the result will be, making it essentially unusable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' property with description 'Tool parameters as JSON object', which conveys no specific parameter meaning. The description adds nothing about expected fields (e.g., a number to test for primality or factor), so the actual parameters remain opaque.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'prime operations — Other Utilities tool', which restates the name and gives only a generic category. It does not state a specific verb or resource, nor distinguish it from other math tools like evaluate_math or quadratic_solver.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description does not mention scenarios, prerequisites, or contrast with sibling utility tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does disclose a payment cost (USDC $0.001 via x402), but it gives no information about what 'process json' actually does, what inputs are expected, or what outputs are produced.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but 'process json' is redundant with the tool name and provides no value. The cost disclosure is useful, but overall the brevity reflects under-specification rather than efficient communication.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
A generic JSON processing tool with no output schema, no annotations, and a catch-all 'params' property needs far more explanation. The description gives no indication of supported operations, formats, or limitations, making it essentially non-functional for an agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a single 'params' object described as 'Tool parameters as JSON object.' The description adds nothing about parameters, but the schema already fully documents the existence and general type of the parameter, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'process json' merely restates the tool name, and 'JSON & Data tool' only provides a vague category rather than specific functionality. It does not distinguish this tool from the many specific JSON siblings like validate_json or json_path_query.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus the numerous JSON/data-related siblings. The only additional detail is the cost/payment method, which does not help with usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden for behavioral disclosure. It discloses a monetary cost, which is a useful trait, but says nothing about side effects, read-only status, required arguments, or return behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief and front-loaded with the tool name. However, it is under-specified; the cost information is useful but the core functionality is missing, so brevity comes at the expense of clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no useful annotations, a generic schema, and no output schema, the description must provide far more context. It fails to explain what the solver does, how to invoke it, what inputs are expected, or what output to expect.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only exposes a generic 'params' object with no meaningful properties or constraints. The description adds nothing about expected parameters (e.g., coefficients a, b, c), leaving the agent unable to construct a valid call.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the name ('quadratic solver') and adds only a category label ('Finance & Math tool') plus cost. It does not specify what the tool does, such as solving quadratic equations, nor does it distinguish it from sibling math tools like evaluate_math or loan_calculator.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool, what alternatives exist, or what inputs are needed. The only additional information is the cost, which is not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but only discloses a $0.001 USDC cost via x402. It does not explain side effects, response format, redirect handling, or any limitations, leaving significant behavioral ambiguity for a network-fetching tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, with no filler. However, the brevity borders on underspecification; the 'Web & SEO tool' tag and cost note are the only substantive additions beyond the name.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, no annotations, and a crowded sibling set including web_scrape, readability_url, and get_og_metadata, this description is incomplete for an agent to select and invoke the tool correctly. It lacks return value expectations, parameter details, and differentiation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema's single 'params' object is generic, and the description adds no guidance on what keys (e.g., url) are expected or how they should be structured. The tool name implies a URL input, but syntax is undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'read url' restates the tool name without elaboration, adding only the category 'Web & SEO tool'. It does not specify what reading a URL returns (HTML, text, metadata) and fails to distinguish this from sibling tools like web_scrape or readability_url.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided for when to use this tool versus the many sibling web tools. The 'Web & SEO tool' label offers only a vague domain hint, with no alternatives, exclusions, or prerequisites mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses pricing (USDC via x402) but nothing about behavior. No annotations exist, so we learn nothing about side effects, required permissions, return value, or side effects. This is a significant gap for a tool that likely transforms user input.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but conciseness is not under-specification. The phrase 'Text & Encoding tool' is redundant given the name, and the cost info, while useful, doesn't compensate for the missing operational detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Without annotations or output schema, and with only a generic params object, the description should fully explain the tool's inputs and outputs. It doesn't. It is incomplete for a tool with nested object parameters.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with no named properties. The description adds no parameter semantics, so users don't know what to pass (e.g., the string to escape). Schema coverage is nominal but unhelpful.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only says 'regex escape — Text & Encoding tool', which restates the tool name and assigns a vague category. It does not specify the operation (e.g., escaping special characters in a string) or distinguish it from many sibling text/encoding tools like encode_base64 or html_escape.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives. It doesn't mention input types, examples, or exclusions. The only non-name info is cost, which doesn't help with selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost ($0.001 USDC via x402), which is a useful behavioral trait, but it does not state the actual operation, expected inputs, or side effects. With no annotations, this is minimal disclosure that leaves the agent largely uninformed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, but it is under-specified rather than concise. It contains a dash, a category label, and a cost note, but no actionable content about what the tool does, making the brevity a drawback.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a network tool with no output schema and minimal annotations, the description is incomplete. It does not explain the tool's function, expected parameters, or return value, leaving the agent to guess based solely on the name.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with the description 'Tool parameters as JSON object', which provides no meaningful parameter details. The description does not mention any required or optional parameters (e.g., IP address or hostname), so the agent cannot infer how to invoke the tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description simply restates the tool name ('reverse dns lookup') and labels it as a 'Security & Network tool', without a specific verb or resource. It fails to distinguish from the sibling 'dns_lookup' tool, providing no actual purpose beyond the name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like 'dns_lookup' or 'whois'. The only additional context is the cost, which does not help with usage selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does mention the cost ($0.001 USDC via x402), which is useful, but it does not explain that this is a read-only calculation, how inputs are provided, or what the output looks like. The behavioral trait of costing money is disclosed, but the core function behavior is only implied by the name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded with the name and cost. However, the first sentence is largely redundant with the tool name, and the overall structure provides minimal useful information. It is short but not efficiently informative.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a functional calculator tool with no output schema and a vacuous input schema, the description is extremely incomplete. It fails to explain the calculation, the required parameters, or the return value. An agent cannot correctly invoke this tool based solely on the provided description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with a description 'Tool parameters as JSON object', providing no specific parameter details. Although schema coverage is marked as 100%, the schema itself lacks semantic information. The description adds no parameter meaning, leaving the agent without knowledge of expected inputs like principal, rate, or time.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'simple interest calc — Finance & Math tool' merely restates the tool name and adds a broad category. It lacks a verb or explicit statement of what the tool does (e.g., computes simple interest from principal, rate, and time). This is closer to a tautology than a clear purpose statement.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternative finance/math tools like compound_interest or loan_calculator. The description does not state relevant use cases, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description does disclose a payment requirement ($0.001 USDC via x402), which is a useful behavioral fact. However, with no annotations, the description carries the full burden and does not disclose whether the tool is read-only, what inputs it expects, or what it returns.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but its brevity comes at the cost of essential information. The first sentence is redundant with the tool name, and the second only states the cost; the description is under-specified rather than efficiently concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a computational tool with no annotations, no output schema, and a generic parameter object, the description is insufficient. It does not explain how to invoke the tool, what inputs to pass, or what result to expect, leaving the agent unable to use it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has only a generic 'params' object with a boilerplate description ('Tool parameters as JSON object'), and the tool description adds no detail about required slope parameters. An agent cannot infer what fields to provide (e.g., x1, y1, x2, y2).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only repeats the tool name 'slope calc' and labels it as 'Other Utilities tool,' without stating the actual operation (e.g., 'calculates the slope of a line between two points'). It fails to distinguish the tool from sibling calculation tools like distance_calc or geometry_calc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage guidance is provided. The phrase 'Other Utilities tool' is a broad category, not a use case, and there is no mention of when to prefer this tool over alternatives or any prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full weight for behavioral disclosure. It does add the notable cost factor ($0.001 USDC via x402), but it omits any explanation of what the tool does or side effects, so the core behavior remains unknown.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is appropriately concise at two short clauses, but it is so sparse that it fails to be informative. It is not bloated, but it does not earn its place beyond naming the tool and its price.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, no output schema, and a generic parameter object, the description is severely incomplete. It does not explain the tool's purpose, input requirements, or return value, making it nearly impossible for an agent to use this tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% because the only parameter is a generic 'params' object. Baseline is therefore 3, but the description adds no additional meaning about what fields to pass, and the schema itself is only a wrapper. The agent gets no help in constructing valid arguments.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description simply repeats the tool name 'sql format' and tags it as 'Other Utilities tool,' providing no verb or resource. It fails to state that the tool formats SQL code, and it does nothing to distinguish this from the many other utility tools in the sibling list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives such as code_beautify or other formatters. The description offers no context, prerequisites, or exclusions, leaving the agent without any basis for choosing it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a cost ($0.001 USDC via x402), which is a behavioral detail, but it omits what the tool actually does, any side effects, or expected outputs. No annotations exist, so the description carries the full burden and falls short.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loads cost information, but the first clause is vague and does not earn its place. It is concise but under-specified, lacking necessary detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema and many sibling tools, the description is severely incomplete. It does not explain what to pass, what the tool returns, or any relationship to alternatives, leaving the agent without enough context to use it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is a single generic 'params' object with 100% schema coverage but no meaningful parameter descriptions. The tool description adds no parameter-level semantics beyond what the schema already states, so the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'Content & AI tool' which is vague and does not specify a verb or concrete resource. It fails to state that the tool summarizes text or content, making it indistinguishable from many other content-related sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of input types, expected use cases, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description must disclose behavior. It only mentions cost, not the transformation operation, input handling, or any side effects. The cost information is a minor behavioral detail but does not describe the tool's core action.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but brevity is not conciseness when it omits essential information. The cost mention is useful but does not compensate for the lack of a functional description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and a generic input schema, the description needed to explain the tool's purpose and parameters. It does neither, making it completely inadequate for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one generic 'params' object with 100% description coverage, earning a baseline of 3. The description adds no information about what keys to provide (e.g., 'text'), leaving the agent to guess.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only names the tool and categorizes it as 'Other Utilities,' without stating that it applies the Atbash cipher to input text. This is a tautology of the tool name, not an explanation of function.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus sibling cipher tools like caesar_cipher or vigenere_cipher. There is no mention of use cases, such as decoding simple substitution ciphers.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a cost of $0.001 USDC via x402, which is a behavioral trait related to payment. However, with no annotations provided, the description carries the full burden for behavioral transparency. It fails to mention whether the tool is read-only, what inputs it requires, what outputs it returns, or any side effects. The cost info is valuable but insufficient for full behavioral understanding.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, which is efficient but at the cost of substance. The first sentence redundantly repeats the tool name, and 'Other Utilities tool' is filler. The cost sentence provides useful administrative information. While compact, the content misses essential functional details, so it earns a middle score rather than a higher one.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has no annotations, no output schema, and a nondescript params schema, the description needed to supply comprehensive functional context. It fails to explain what 'business days' calculation entails, what parameters are expected, what the return value looks like, or any assumptions about weekends/holidays. This leaves a major gap for an agent trying to use the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains a single generic 'params' object described as 'Tool parameters as JSON object', which provides no detail about actual expected fields (e.g., start date, end date, holidays). Although schema description coverage is claimed as 100%, it covers only a placeholder parameter. The tool description adds no parameter meanings or examples, so an agent cannot determine how to invoke the tool correctly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description simply restates the tool name ('calculate business days') without specifying the exact operation, such as whether it computes days between dates, adds business days, or handles holidays. It adds only 'Other Utilities tool' as a vague category, which does not distinguish it from sibling date-related tools like date_calc or due_date_calc. This is a tautology with minimal informative content.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage context is provided. The description does not state when to use this tool, what problem it solves, or how it differs from alternative utilities. The phrase 'Other Utilities tool' is a classification label, not guidance on when to choose this tool over siblings. There is no mention of exclusions or alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden for behavioral disclosure. It does disclose a payment cost and the x402 protocol, but it omits what action the tool takes, whether it reads or writes, and what the output looks like.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but the main phrase is redundant with the tool name. The cost line adds a detail but does not make the description informative, so it does not earn its place as a functional summary.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema and no annotations, and the input schema is only a generic container. The description fails to explain what input to provide, what results to expect, or how the payment works, making it nearly impossible to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a generic 'params' object with 100% description coverage, so per the scoring baseline it is already documented. However, the description adds no meaning about what actual parameters are expected for the code indent check.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a restatement of the tool name ('code indent check') and provides no verb or explicit statement of what the tool does. It names a category ('Other Utilities tool') but does not distinguish this from siblings like indent_text or whitespace_analyze.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the many sibling tools. The only added context is a cost note, which does not help an agent decide when to invoke this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits, but it only mentions the cost ($0.001 USDC via x402) and category. It does not disclose whether the operation is read-only, what the conversion behavior is, or any side effects, making behavioral transparency minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise (two short sentences), but the first sentence largely repeats the tool name and category, adding little value. It is not overlong, but the brevity comes at the cost of essential information, so it is adequate but not well-structured for usefulness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of specific schema parameters, no annotations, and no output schema, the description is severely incomplete. It does not explain what the tool converts markdown to, how to invoke it, what parameters to pass, or what output to expect, making it inadequate for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object described as 'Tool parameters as JSON object', which provides no specific parameter meaning. The description does not compensate by listing expected parameters (e.g., markdown input, output format), leaving parameter semantics entirely unresolved.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a verb+resource ('convert markdown') which suggests the tool converts markdown, but it does not specify the target format (e.g., HTML, plain text). This ambiguity distinguishes it from sibling tools only by name, not by clear functional scope.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description only mentions 'Other Utilities tool' as a category and the cost, but does not explain use cases, prerequisites, or why one would choose convert_markdown over other conversion tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavior; it only states a cost and labels the tool as a converter. It does not explain what conversions are supported, how input/output is structured, or any side effects or requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and includes a useful cost mention, but the phrase 'convert units — Converters tool' is redundant and contributes no real information. It is concise but not effectively structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and a generic input schema, this description is far from complete. It leaves the agent guessing about accepted unit types, parameter format, and return values.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Although the schema coverage is marked as 100%, the only parameter is a generic 'params' object with description 'Tool parameters as JSON object'. The description adds no detail about what keys or values the params object should contain, leaving actual semantics unresolved.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'convert units — Converters tool' essentially restates the tool name and offers no specific resource or scope. It does not distinguish this generic converter from sibling tools like temperature_all, speed_convert, or convert_currency.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives. The description does not mention any exclusions, preferred cases, or relationships to the many specialized conversion tools available.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavior. It adds one useful behavioral fact (payment via x402), but says nothing about the actual operation, return format, or limitations, leaving the agent mostly in the dark.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief and front-loaded, with no wasted words. However, the 'Other Utilities tool' fragment adds little value and the brevity comes at the cost of essential detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and a generic params wrapper, the description is too sparse to be complete. It states cost but omits the expected input shape, output, and any usage caveats, so an agent cannot reliably select or invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema's only parameter is a generic 'params' object, so the 100% schema coverage metric is misleading; it defines no real fields. The description adds no information about what input detect_language requires (e.g., text to classify), making it impossible to construct a call correctly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('detect language') and assigns it to a generic 'Other Utilities' category. It identifies neither the specific input expected nor how it differs from sibling utilities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Only mention of usage is the cost note ('Costs $0.001 USDC via x402'), which is not a usage guideline. There is no statement of when to choose detect_language over alternatives like translate or list_languages, nor any preconditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must disclose behavioral traits. It does mention the cost and payment mechanism, which is useful, but it omits basic traits such as whether the operation is pure/read-only, what encoding standard is used, or what the response format looks like.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, but the first phrase simply repeats the tool name, wasting words. The cost sentence adds value, yet the overall structure is too sparse to compensate for missing functional details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema, no meaningful input schema, and many close siblings, the description is incomplete. It fails to explain what input is expected, what the encoded output looks like, or how this tool should be selected over alternatives. An agent would have to infer nearly everything from the tool name.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only provides a generic 'params' object described as 'Tool parameters as JSON object', and the description adds no additional parameter information. The agent cannot determine what fields to pass, such as the text to encode. The schema coverage is high only in the sense that the generic container is documented, not because actual parameters are explained.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('encode base64') and appends a generic category ('Text & Encoding tool'). It does not specify what the tool actually does with input or output, and it does not distinguish it from sibling tools like encode_base32 or encode_base85.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives such as encode_base32 or hash_text. The only extra information is the cost via x402, which is not a usage guideline and does not help with tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does disclose a critical operational requirement: 'Costs $0.001 USDC via x402,' which tells the agent that invocation requires payment through a specific protocol. However, it does not mention whether the operation is read-only, side effects, or the return format, so the behavioral disclosure is only partial.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short but mostly redundant: 'flatten json' repeats the name, 'JSON & Data tool' is vague, and only the cost sentence adds novel information. Ineffective use of the limited space; it does not help an agent understand the tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the generic schema and no output schema, the description is severely inadequate. It does not explain the flattening process, input requirements, expected output, or how it differs from other JSON tools, making it nearly impossible to invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with the unhelpful description 'Tool parameters as JSON object.' The tool description adds no details about expected sub-parameters (e.g., the JSON to flatten, separator options). Even with schema description coverage at 100%, the schema itself is a pass-through that fails to convey actual parameter semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely repeats the tool name ('flatten json') and categorizes it as a 'JSON & Data tool,' but never states what flattening actually does (e.g., converting nested objects to flat key-value pairs). It does not distinguish itself from sibling tools like unflatten_json or process_json.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use flatten_json versus its many sibling JSON tools, nor any mention of use cases, prerequisites, or exclusions. An agent must infer its purpose entirely from the tool name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It only adds cost via x402 and the category label; it doesn't disclose what kind of random data is produced, whether any parameters are needed, rate limits, auth requirements, or output format. This is minimal behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, which is structurally fine, but it's under-specified rather than appropriately concise. The phrase 'generate random data' largely restates the tool name, while 'Generators tool' and the cost detail are the only added value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with generic params, no output schema, and no annotations, the description is severely incomplete. It doesn't explain input structure, output, use cases, or how it differs from the many generator siblings, leaving the agent without enough context to use it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Input schema has only a generic 'params' object with no specific properties, and the description doesn't mention parameters at all. There's no guidance on what to pass in the params object, making it impossible to know how to invoke correctly for desired random data.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
States it generates random data and identifies as a Generators tool, but 'random data' is vague and doesn't distinguish from sibling tools like generate_random_numbers, generate_lorem_ipsum, or generate_uuid. The description names the category but not the specific resource or behavior.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. Many sibling generator tools exist with more specific purposes, but description doesn't mention them or any exclusions. Cost info alone doesn't help selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It does disclose the payment cost, which is useful, but it omits important behavioral traits such as network usage, authorization requirements, return behavior, and potential errors. The core behavior is left implicit in the tool name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, but the opening phrase merely repeats the tool name and the 'Data & Weather tool' label adds little value. The cost information is concrete and earns its place, so the conciseness is acceptable but under-specified.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no annotations, the description should provide more complete context. It omits expected return format, input syntax, and usage boundaries, making it difficult for an agent to confidently invoke the tool or interpret its results.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema exposes only a generic 'params' object with no meaningful field definitions, and the description adds no explicit parameter semantics. The tool name implies the parameter is an IP address, but there is no clarification of IPv4 vs IPv6, required fields, or optional parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description mostly restates the tool name ('geolocate ip') and labels it as a 'Data & Weather tool' without specifying its actual operation. It fails to clearly state that this tool performs IP address geolocation or what kind of output it returns, and it does not distinguish it from sibling tools like geocode or reverse_geocode.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance is given about when to use this tool versus alternatives. The only usage-related detail is the cost and payment method ($0.001 USDC via x402), but there is no mention of when IP geolocation is appropriate or when a different tool should be used instead.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing side effects and requirements. It does mention a cost of $0.001 USDC via x402, which is useful, but it does not describe what the tool actually does, what data it returns, whether it makes external network requests, or any rate limits. This is insufficient for an unannotated tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and free of verbose filler, but it is under-specified rather than appropriately concise. It includes the tool name, a vague category, and cost, but omits essential action and parameter details. Structure is a single sentence, which is easy to parse, but the content is not well-rounded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a network tool with no output schema and no annotations, the description is too sparse to be actionable. It does not explain the request/response format, the meaning of the output, or any edge cases. The cost and category alone are insufficient for an agent to select and invoke this tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only provides a generic 'params' object with a placeholder description ('Tool parameters as JSON object'), and the tool description adds no specific parameter information. Although schema coverage is reported as 100%, the coverage is superficial because no actual parameter names, types, or examples are given. The description does not help an agent understand what keys to provide.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description simply restates the tool name ('http headers') and adds a broad category ('Security & Network tool') without a specific verb or action. It does not clarify whether the tool fetches, inspects, or modifies HTTP headers, and it fails to distinguish this tool from sibling tools like dns_lookup or check_http_status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The phrase 'Security & Network tool' vaguely implies a network security context, but there is no explicit context, prerequisites, or mention of when not to use it. Sibling tools like read_url and web_scrape may overlap, but the description offers no differentiation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must disclose behavior, but it only mentions cost and category. It does not state that this is a read-only calculation, what it returns, or what inputs are required, leaving significant behavioral ambiguity.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded with the tool title and cost, but it sacrifices substance for brevity. The first sentence is effectively a restatement of the name, and the second is pricing, leaving little informative content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of an output schema and annotations, the description should explain the tool's purpose, inputs, and output. It only provides a category and cost, which is inadequate for a tool that must be selected among many sibling health calculators.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema's only parameter is a generic 'params' JSON object described as 'Tool parameters as JSON object,' which provides no actual parameter details. The description adds no parameter names, units, or examples, so the agent cannot infer what to pass.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name as 'ideal weight calc' and labels it a 'Health & Fitness tool' without using a specific verb or explaining what it calculates. This provides minimal functional clarity and does not differentiate it from sibling tools like calculate_bmi or bmr_calc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. The only directive is the cost mention, which is operational rather than usage-oriented.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosure. It mentions the cost ($0.001 USDC via x402), which is a behavioral trait, but does not disclose whether the operation is stateless, what the output format is, or any side effects. For a text-transform tool, the absence of such details is a significant gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and avoids fluff, but it reads as a fragment rather than complete sentences. The category label and cost information are useful, yet the structure does not effectively communicate core functionality beyond a restatement of the tool name.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the schema provides no specific parameters and there is no output schema, the description needed to explain what inputs are expected (e.g., indentation amount, character) and what the tool returns. It does neither, making the tool effectively unusable without external documentation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no tool-specific properties. The description adds no parameter details whatsoever, making it impossible for an agent to know how to specify indentation amount or style. Schema coverage is nominally 100% but only for the generic wrapper, offering no real semantic value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name ('indent text') and appends the category 'Text & Encoding tool.' It conveys the basic operation (indenting text) but provides no detail on how indentation works (spaces vs. tabs, levels, etc.). It lacks sibling differentiation, as tools like wrap_text and pad_text are not mentioned.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description only provides a generic category label ('Text & Encoding tool') and cost information, with no context about appropriate use cases or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost ($0.001 USDC via x402), which is a practical behavioral detail, but it says nothing about what the tool calculates, what inputs it expects, whether it makes network calls, or what the output looks like. With no annotations available, the description carries the full burden of disclosure and fails to provide meaningful transparency beyond the cost.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, comprising two brief sentences. It is front-loaded with the tool's name and category, then cost. No unnecessary words, though the 'loan calculator' part redundantly repeats the tool name. Overall, it is concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a financial calculator with no output schema and no annotations, this description is severely incomplete. It does not explain what output is returned, what parameters are required, or how the calculation is performed. An agent has virtually no information to correctly invoke or interpret the result.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one generic parameter 'params' described as 'Tool parameters as JSON object', which gives 100% schema description coverage. This yields a baseline of 3. The description adds no further parameter information, such as expected keys (e.g., loan amount, interest rate, term), so it does not exceed the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'loan calculator' and 'Finance & Math tool', but it does not use a specific verb like 'calculates' and does not specify what aspect of loans it handles (monthly payments, amortization, etc.). It essentially restates the tool name and gives a broad category, failing to distinguish from sibling calculators like mortgage_calculator or auto_loan_calc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus other financial calculators. It mentions a cost, but no context about when this tool is appropriate, what alternatives exist, or any prerequisites. There is no exclusionary or comparative information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavior, but it only states the tool costs $0.001 USDC via x402 and is a finance/math tool. It does not explain whether it is read-only, stateless, what inputs it expects, or what output it returns, leaving major behavioral assumptions unstated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but the first sentence merely repeats the tool name and category, so it doesn't earn its place. The cost sentence is useful but the lack of functional specification is under-specification, not concise communication.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is a complex namespace with dozens of closely related finance/math calculators, a generic params object, no output schema, and no functional description. An agent cannot determine what inputs to provide, what result to expect, or even what 'markup calc' computes, making the description inadequate for tool selection.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is reported at 100% because the only property 'params' is described as a generic JSON object, but that description carries no semantic content. The tool description adds no parameter names or formulas, so per the high-coverage baseline the score is 3, but no real meaning is added beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'markup calc — Finance & Math tool', which essentially restates the tool name and places it in a broad category. It does not specify what calculation is performed (e.g., adding markup vs. computing markup percentage) or how it differs from sibling calculators like margin_calc or percentage_calculator.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool or when to prefer alternatives. The only operational note is the cost, which is about payment, not usage context. Sibling tools cover many finance/math domains, but no distinction is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a cost of $0.001 USDC via x402, which is a useful behavioral trait. However, it does not describe the return value, side effects, or any other behavioral aspects, and there are no annotations to fill the gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, consisting of just a name, category, and cost. Every word earns its place, but it omits essential functional details. For its length, it is well-structured and front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no annotations, the description is incomplete. It does not specify the output format, example usage, or any behavior beyond cost. This is insufficient for an agent to confidently invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has only a generic 'params' object with no specific fields. The description does not explain what parameters the tool accepts, leaving the agent with no idea what to pass. Schema coverage is nominal but not meaningful for this tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'random color — Colors & Design tool' identifies the tool as a random color generator, distinguishing it from color conversion/mixing tools. However, it lacks an explicit verb like 'generates' and relies on the name itself, making it only semi-informative about the actual action.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus other color tools. The only extra note is the cost, which is not a usage guideline. There is no mention of alternatives, exclusions, or context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full burden. It discloses the cost and payment method ($0.001 USDC via x402), which is useful, but it does not mention whether the operation is read-only, what side effects occur, what inputs are needed, or what the output looks like. This is a significant gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, which is structurally concise. However, it sacrifices essential information for brevity, making it closer to under-specification than effective conciseness. It is not as bad as a one-word tautology, but it barely earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's ambiguous name, lack of annotations, no output schema, and generic parameter container, the description is severely incomplete. It does not explain what research means, how the tool should be invoked, or what results to expect. This is inadequate for a tool with such little structured context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only exposes a generic 'params' object with no specific fields. The description adds no parameter details, so the agent has no idea what parameters are expected. Despite the schema coverage being marked high, the schema itself is uninformative; the description fails to compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'research topic — Web & SEO tool', which identifies a domain but not a specific verb or action. It is essentially restating the tool's name with a broad category label. It does not clearly distinguish the tool from siblings like web_scrape, summarize, or keywords.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided for when to use this tool versus alternatives. The description merely states the category and cost without any context about appropriate use cases, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must carry the full burden of behavioral disclosure. It does add a notable fact: the tool costs $0.001 USDC via x402. However, it does not disclose what the tool actually does beyond 'Converters tool', how the payment flow works, error scenarios, or any operational limits. This is a minimal behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short—one sentence—and is not verbose. However, the phrase 'speed convert — Converters tool' largely mirrors the tool name, making that part redundant. It is concise but sacrifices content needed for clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool that likely requires nested parameters and involves a payment mechanism, this description is severely incomplete. It does not explain what conversions are supported, how to structure the params object, or how the x402 billing process behaves. The sole mention of cost is insufficient for an agent to use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only exposes a generic 'params' object with no internal structure. The tool description does not elaborate on what keys or values this object should contain, leaving the agent to guess. Although schema description coverage is technically 100%, the description is a tautology and adds no meaningful semantic information.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description identifies the tool as a 'Converters tool' but does not specify what kinds of conversions it performs. This is nearly a restatement of the name and does not distinguish it from sibling tools like convert_currency or convert_units. A clear verb and resource are missing.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use speed_convert versus other converter tools in the sibling list. The description only mentions the cost and gives no indication of suitable use cases, prerequisites, or exclusions. This leaves the agent without direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosing behavior. It does mention that the tool costs $0.001 USDC via x402, which is a useful access/payment trait, but it fails to explain what the tool does with the input, whether it is reversible, or what escaping convention is used. This leaves the core behavior opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but it wastes its opening clause by repeating the tool name. The remaining category label and pricing sentence provide minimal operational substance. This is under-specification rather than effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a generic params wrapper, the description is severely insufficient. An agent cannot determine what string escaping entails, what input format to provide, or what output to expect. The pricing note is the only added context, so the description is almost entirely incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has only a generic 'params' object with the description 'Tool parameters as JSON object,' which is technically 100% schema description coverage but conveys no tool-specific meaning. The description adds no parameter information, so the baseline of 3 applies due to the high coverage, even though the schema is not semantically informative.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens by repeating the tool name ('string escape') and then labels it a 'Text & Encoding tool,' which is a broad category rather than a specific behavior. It never explicitly states that the tool escapes special characters, what input it expects, or what transformation it performs. This does not differentiate it from similar siblings like html_escape or regex_escape.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, no mention of typical use cases, and no exclusions. The only operational detail is the cost, which does not help an agent decide whether string_escape is the right tool for a task.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, but it only mentions cost. It does not disclose what happens with invalid input, whether it performs checksum validation, or what the response contains.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but contains filler like 'Other Utilities tool' and repeats the tool name. The cost information is useful, but the rest does not earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a validation tool with a non-descriptive schema, no output schema, and no annotations, this description is vastly insufficient. It provides no behavioral, parameter, or usage context, making it barely more useful than the tool name.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with no named fields, and the description adds no hint about what input (e.g., an IBAN string) is expected. The schema coverage is effectively 0% for actual parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool validates an IBAN, providing a specific verb and resource. However, it does not differentiate itself from sibling validators like validate_vat or validate_email, and the 'Other Utilities tool' label is generic.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The only extra information is the cost, which is not usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does disclose a cost of $0.001 USDC via x402, which is useful, but it doesn't disclose whether the tool is read-only, requires authentication, or any other behavioral traits. The description adds minimal value beyond the cost.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and under-specified, lacking a clear verb or instruction. While it is concise, it fails to earn its place as a functional description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema and no annotations, and the description gives no information about return values or acceptable inputs. Among many sibling text-analysis tools, this description provides no differentiation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has one parameter 'params' with generic description 'Tool parameters as JSON object', so coverage is 100%. The description adds no information about what keys the params object should contain. Baseline 3 applies due to high schema coverage, but no additional semantics are provided.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('word count') and adds a generic category label ('Other Utilities tool'), with no verb or resource described. It fails to state what the tool actually does, such as counting words in provided text.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives like char_count or line_count. No context or exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the cost ($0.001 USDC via x402) but fails to mention the core behavior, expected inputs, or what it returns. This is minimal transparency beyond the cost detail.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and free of fluff, but it is under-specified. The fragment 'word similarity — Other Utilities tool' is followed by a cost statement, making it concise yet incomplete. It earns a middle score because it is not overly verbose but lacks substantive content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, output schema, and specific parameter documentation, the description is far from complete. It does not explain what the tool does, its return value, or any prerequisites, leaving the agent without crucial context for successful invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is a generic 'params' object with no specific parameters, so the description must compensate. It does not mention any parameters (e.g., word1, word2) or how to structure them, adding no meaningful semantic value beyond the schema's generic placeholder.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name ('word similarity') and adds only a generic category ('Other Utilities tool'), providing no specific verb or resource. It does not clearly state what the tool does, such as 'computes the similarity between two words.'
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives like levenshtein_distance or anagram_check. The description only mentions cost and payment method, giving no context for usage decisions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a cost ('$0.001 USDC via x402'), which is a behavioral trait, but nothing else. With no annotations, the description fails to convey what happens during execution, potential side effects, or return formats.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short but the single sentence is largely tautological ('x402 wallet info — x402 & Wallet tool') plus a cost note. It is under-specified rather than concisely informative, so the sentence does not earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations and no output schema, the description must carry full context. It provides no details on what wallet information is returned, required inputs, or expected behavior, leaving the tool essentially undocumented.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single generic 'params' property described as 'Tool parameters as JSON object,' giving 100% schema coverage. The baseline of 3 applies because no parameter info is added in the description, but the generic wrapper makes this minimally acceptable.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is tautological: 'x402 wallet info' restates the tool name and 'x402 & Wallet tool' is a label rather than a statement of function. It provides no specific verb or resource describing what the tool actually does.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternative wallet-related tools like wallet_info or payment tools like x402_payment_request. There are no prerequisites, exclusions, or context signals.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the behavioral burden. It only mentions the cost ('$0.001 USDC via x402'), but does not disclose return format, rate sources, whether it supports historical data, or any usage limits. This is minimal behavioral information.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but the phrase 'Data & Weather tool' is filler that does not add value. While brevity is good, the sentence is under-specified and fails to include essential usage information, making it more of an incomplete note than a well-structured description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the generic schema, no annotations, and no output schema, the description leaves out nearly all contextual information needed to invoke the tool correctly. It does not explain exchange rate sources, supported currencies, output format, or any error conditions. This is critically incomplete for a tool that appears simple but has multiple implicit requirements.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is generic with a single 'params' object described as 'Tool parameters as JSON object', providing no specific parameter names or types. The description does not compensate by mentioning required parameters like source currency, target currency, or amount. The tool name implies the purpose but not the exact parameter structure.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'convert currency' which is a specific verb and resource, but it does not distinguish this tool from sibling tools like 'currency_cross' or 'get_crypto_prices'. The additional label 'Data & Weather tool' is confusing and irrelevant to currency conversion, slightly muddying the purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. No mention of comparing rates, using for fiat vs crypto, or any prerequisite like API keys. The cost note is the only extra detail, but it does not help select the tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses a cost of $0.001 USDC via x402 and the security/network category, but it does not describe the actual operation, whether it is read-only, what data it uses, or what the response looks like.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and contains no waste; the cost sentence is useful. However, it is under-specified and mostly repeats the tool name, making it less effective than a concise yet informative description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, a generic params object, and no annotations, the description must provide substantial behavioral and usage context. It fails to explain input requirements, return values, or operational semantics, leaving the agent unable to invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 100% coverage for its single generic 'params' property, but that property is only described as 'Tool parameters as JSON object'. The tool description adds no detail about expected fields (e.g., email or domain), so the baseline of 3 applies without additional value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a restatement of the tool name ('email domain check') with a broad category ('Security & Network tool'). It does not specify what exactly is checked (e.g., MX records, DNS, blacklists) and does not differentiate it from sibling tools like validate_email, verify_email, or dns_lookup.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives. There are no exclusions, prerequisites, or examples. The only contextual hint is the 'Security & Network' category, but this is too vague to direct an agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Since no annotations are provided, the description carries the burden. It adds useful cost information ($0.001 USDC via x402), but lacks other behavioral disclosures such as expected inputs, outputs, failure modes, or rate limits. The cost detail is valuable but incomplete.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, consisting of a single sentence fragment. It is concise and front-loaded, but under-specification is not a conciseness issue. The wording is efficient and avoids fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a Web & SEO tool that extracts contacts, the description omits essential context: what the tool takes as input (e.g., URL, text), what it returns, and when to use it. With no output schema and minimal detail, an agent cannot reliably select or invoke this tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object with a placeholder description, providing no information about actual parameters. The description does not compensate by explaining any parameter names, formats, or examples. This is a critical gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the verb 'extract' and resource 'contacts', labeling it a Web & SEO tool. However, it does not clarify what constitutes 'contacts' (e.g., emails, phone numbers) or the source (web page, text). It is distinguishable from siblings like 'extract_entities' but still ambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. The generic 'Web & SEO tool' label does not provide practical context or exclusions. No mention of specific use cases or conditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral disclosure is the cost ($0.001 USDC via x402). With no annotations, the description carries the full burden, yet it omits any mention of input expectations, output format, side effects, or whether the computation is local/pure. This is a minimal but non-empty disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief and front-loaded with the tool name, followed by a useful cost note. Every word earns its place, and there is no fluff. However, the brevity borders on under-specification, which is a completeness issue rather than a conciseness issue.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the generic parameter wrapper, lack of output schema, and no annotations, the description is far too thin to be actionable. The agent cannot determine how to invoke the tool correctly, what to pass, or what to expect back. The cost note is the only extra context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema uses a generic 'params' JSON object with the unhelpful description 'Tool parameters as JSON object.' Even though schema description coverage is technically 100%, the description adds no real meaning. The tool description does not specify what fields the parameters object should contain, leaving the agent to guess how to pass the number.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'factorial calculator' is a near-verbatim restatement of the tool name, adding no verb or resource detail beyond the name itself. The 'Other Utilities tool' label gives minimal category context but does not clarify the function. This is a tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus any of the many math/calculator siblings. No context, prerequisites, or exclusions are provided, leaving the agent to infer usage purely from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full transparency burden. It does add one meaningful behavioral trait: the tool costs $0.001 USDC via x402, which is important for an agent to know before invocation. However, it does not disclose what data is returned, whether it is a read-only operation, or any x402 payment flow requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, but it is under-specified rather than usefully concise. It reads as a tagline or pricing notice, not as a functional specification. Every word is used, but the content is insufficient for tool selection and invocation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of annotations, output schema, and meaningful parameter definitions, the one-sentence description is far from complete. It provides the domain and cost but omits expected inputs, return format, example usage, and x402 payment prerequisites, making it risky for an agent to invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only defines a generic 'params' object with the placeholder description 'Tool parameters as JSON object.' The tool description does not enumerate expected fields such as market, symbol, timeframe, or forecast horizon. An agent cannot determine what to pass for a valid call.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only says 'Kronos Market Intel tool,' which is essentially a restatement of the tool name with a broad domain label. It does not state a specific verb, resource, or what the forecast produces, and it does not distinguish the tool from sibling tools like kronos_signals, kronos_history, or kronos_decision.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use kronos_forecast versus the many other Kronos and x402-related tools. It does not mention alternatives, prerequisites, or exclusions. The only additional context is the cost, which is not usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavior itself. It reveals the $0.001 USDC cost via x402, but says nothing about what the tool actually does, what data it accesses, or what the output contains.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, but the first clause is mostly a repetition of the tool name. It is concise but not substantively efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This appears to be a paid market-intelligence tool with no output schema, no annotations, and a generic params container. The description provides only cost and a vague category, leaving the agent without information needed to invoke or interpret the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has only a generic 'params' object, and the description adds no details about required fields or accepted keys. Schema coverage is nominally 100% but the description offers no extra meaning, so it stays at the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with 'kronos risk — Kronos Market Intel tool,' which largely restates the tool name and gives only a broad category. It lacks a specific verb or resource, and does not distinguish kronos_risk from sibling tools like kronos_signals or kronos_forecast.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage conditions or alternatives are given. The only additional information is the cost and payment method, which does not explain when to choose this tool over other Kronos tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the burden of disclosing behavior. It does mention a required payment of $0.001 USDC via x402, which is a useful behavioral trait. However, it does not disclose whether the operation is read-only, what inputs it expects, what outputs it produces, or any other behavioral side effects. The cost disclosure is the only behavioral transparency beyond the tool name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief and front-loaded, consisting of two short sentences. However, the first sentence ('macro calc — Health & Fitness tool') is largely a restatement of the tool name and adds little value. The second sentence about cost is useful but not enough to justify the overall lack of content. It is concise but under-specified, not earning its place fully.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is a calculator that likely requires multiple user inputs (e.g., age, weight, height, activity level, goals), but the description provides none of this context. There are no annotations and no output schema to compensate. The description is critically incomplete: an agent would not know what parameters to provide or what result to expect, making this tool unusable without external knowledge.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one parameter 'params' described as 'Tool parameters as JSON object', which is a generic wrapper. Schema description coverage is 100% because the parameter has a description, but it does not define the expected structure or keys. Since coverage is high, the baseline is 3. The description adds no additional parameter semantics, so it stays at baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'macro calc — Health & Fitness tool', which adds a category but does not state a specific action or resource. It is vague, essentially restating the tool name without explaining what it calculates (e.g., macronutrient targets). No verb like 'calculate' or 'compute' is present, and it does not distinguish from sibling calculators.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. With many sibling tools like calculate_bmi, bmr_calc, and tdee_calc, there is no mention of macronutrients or any conditions that would steer an agent to this tool. It neither says when to use nor when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full burden of behavioral disclosure. It does disclose a cost ($0.001 USDC) via x402, but it omits all other behavioral aspects: what the tool actually does with an RSS feed, what inputs it expects, what output format it returns, and whether it makes network requests or has side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, front-loaded with the core action, and includes pricing in a tidy second clause. There is no wasted wording, and the structure is clear and scannable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool lacks an output schema and annotations, so the description alone must provide enough context for correct invocation. It is severely under-specified: no mention of input requirements, return values, error conditions, or operational behavior, making it inadequate for an agent to select and invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema contains a single generic 'params' object with the description 'Tool parameters as JSON object,' providing no real meaning about what parameters are needed. The tool description adds no parameter information at all, leaving the agent without clues to populate the params object correctly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The phrase 'parse rss feed' is essentially a verbatim restatement of the tool name, adding only a generic 'Web & SEO tool' label. It does not distinguish this tool from siblings like read_url or web_scrape, and it fails to explain what parsing entails.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. The only contextual hint is 'Web & SEO tool,' which is too broad to help an agent decide.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full burden of behavioral disclosure. It does disclose the payment requirement (Costs $0.001 USDC via x402), which is useful, but it does not describe the actual operation, side effects, or limitations such as Unicode handling. The cost disclosure is positive, but overall transparency is minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, with the cost information clearly stated. It is not verbose, which is a positive, though it is overly terse and fails to explain functionality. It earns its place with essential facts.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple, but the description omits any indication of input format, output format, or how to invoke it correctly. With no output schema, the description should at least describe the result (e.g., the reversed text). It does not, leaving the agent to infer everything from the name.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with a generic description, and the tool description does not explain what fields this object should contain (e.g., 'text'). Although schema description coverage is 100%, the provided parameter description is uninformative, and the description adds no meaningful parameter semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'reverse text — Text & Encoding tool' essentially restates the tool name and adds a broad category. It does not explicitly state that the tool reverses the order of characters in a string, nor does it specify any scope (e.g., characters, words, lines). This is close to a tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus other text manipulation tools, nor any exclusions or alternatives. The only additional note is the cost, which is not usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the behavioral disclosure. It only mentions the $0.001 USDC cost via x402, which implies a paid transaction, but does not describe side effects, required permissions, data handling, or output behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, but it omits essential information. While it is concise, it sacrifices completeness to the point of being under-specified.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations or output schema and a generic parameter schema, the description needed to fully explain purpose, parameters, and behavior. Instead, it only provides a vague category and cost, making it impossible for an agent to correctly select or invoke this tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single generic 'params' object with a description that just says 'Tool parameters as JSON object', and the tool description adds no parameter details. Since schema description coverage is 100%, the baseline is 3, but the schema itself is uninformative, leaving the agent with no idea what keys or format to use.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'Content & AI tool' which is a broad category, not a specific function. The name 'sentiment' implies sentiment analysis, but the description doesn't state what action it performs or what resource it operates on, and it fails to distinguish from many sibling content/AI tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. No mention of appropriate use cases, prerequisites, or exclusions. The only additional information is the cost, which is not usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, and the description carries the full burden of behavioral disclosure. It only mentions price; it does not state whether the tool rewrites the input, what input/output formats are expected, whether it preserves meaning, or any rate/usage limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, and the cost sentence is concise and useful. However, the 'Text & Encoding tool' label is somewhat redundant, and the overall brevity borders on under-specification rather than efficient clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, and only a generic wrapper parameter, the description fails to explain the return value or invocation structure. An agent cannot safely call this tool based solely on the provided information, especially given the many sibling text tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema exposes a single generic 'params' JSON object with no inner properties. The description adds no parameter names or expected structure (e.g., text, language, simplification level), so an agent cannot determine what to pass. The schema_description_coverage is nominal because the only field description is tautological.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific operation 'simplify text' with a verb and resource, and the 'Text & Encoding tool' category indicates domain. However, it does not define exactly what 'simplify' transforms (e.g., simpler vocabulary, sentence structure) nor differentiate from sibling text tools like paraphrase or normalize_text.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No when-to-use or alternatives guidance is provided. The only additional context is the cost sentence, which addresses pricing but not use cases. Among dozens of sibling text tools, the description gives no indication of when simplify_text should be preferred over paraphrase, casualize, or normalize_text.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden of behavioral disclosure. It does reveal the $0.001 USDC cost via x402, which is useful, but it omits core behavioral traits like required inputs, whether it is a read-only computation, or what output will be returned.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and not overly verbose, but the leading phrase simply restates the tool name, and the remaining content is thin. It is concise yet under-specified rather than effectively front-loaded with purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of annotations, lack of output schema, and a generic parameters object, the description is severely incomplete. It fails to explain what TDEE calculation requires, how to structure the params object, or what the agent should expect in return, especially for a tool that charges a fee.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% since the only property is 'params', even though its description is generic ('Tool parameters as JSON object'). With high schema coverage, the baseline is 3, and the description adds no parameter-level meaning beyond that.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description repeats the tool name 'tdee calc' and labels it a 'Health & Fitness tool', but never states that it calculates Total Daily Energy Expenditure or performs any specific action. It lacks a verb+resource structure and does not distinguish it from sibling calculators like bmr_calc or calorie_burn.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus related health/fitness calculators. The category label and cost note do not help an agent decide between tdee_calc and alternatives such as macro_calc or body_fat_calc.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry behavioral disclosure, but it only mentions cost and category. It does not state whether the operation is read-only, what it returns, what parameters it expects, or any side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, but the first clause is redundant with the tool name and the second only provides pricing. While not bloated, the brevity sacrifices substance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and an opaque generic parameter schema, this minimal description is completely inadequate for an agent to know what todo_finder does, when to invoke it, or what input to provide.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single generic 'params' object with the description 'Tool parameters as JSON object,' which counts as 100% description coverage. Since coverage is high, baseline is 3, but the description adds no actual meaning about expected keys or values.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('todo finder') and categorizes it as an 'Other Utilities tool,' without specifying a clear verb or resource. It is essentially a tautology and does not differentiate from sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool, what it does, or how it differs from the many sibling utilities. The only added context is cost, which does not inform tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. It only states the cost ($0.001 USDC via x402) and the vague category 'x402 & Wallet tool'. It does not disclose whether the operation is read-only, what it returns, or any side effects, leaving the agent blind to critical behavioral traits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief, consisting of a fragment and a cost note. While it is concise, it is under-specified; it does not convey the tool's purpose or behavior. The brevity is not used effectively to front-load key information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool lacks an output schema and annotations, so the description must be self-sufficient. It fails to explain what 'wallet info' entails, what x402 is, how the tool works, or what the response will provide. The presence of a sibling 'x402_wallet_info' further highlights the need for clearer scoping, which is absent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one generic 'params' object with a description that covers 100% of the schema properties, so the baseline is 3. However, the description adds nothing about the actual parameters and the nested object remains a black box, so it does not compensate for the lack of meaningful parameter details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a restatement of the name ('wallet info') with vague context ('x402 & Wallet tool'). It lacks a clear verb or action, leaving the user to infer that it retrieves wallet information. It also does not distinguish itself from the sibling tool 'x402_wallet_info'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus any alternative. The description mentions cost but does not explain the appropriate context for invocation or any exclusions. With a nearly identical sibling (x402_wallet_info), the lack of differentiation is a significant gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must disclose behavioral traits. It does mention the $0.001 USDC cost via x402, which is a useful payment trait, but it fails to describe any side effects, return values, or operational behavior. The tool remains a black box beyond the cost.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, with two sentences. The first sentence is essentially a restatement of the name, while the second provides cost information. While concise, it lacks substantive structure and doesn't use the limited space to convey meaningful usage or purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, no annotations, and a generic params object, the description is completely inadequate for an agent to invoke this tool. It doesn't specify inputs, outputs, or how this differs from many sibling converter tools. The agent would have to guess or rely on external knowledge.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single 'params' object with a generic description, providing no real semantic content. The description's 'bytes format' hint hints at the domain but doesn't explain what keys or values should be passed. With 100% schema coverage but placeholder text, the description adds little to clarify the actual parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description labels this as a 'Converters tool' and mentions 'bytes format', which suggests it deals with byte formatting or conversion. However, the exact operation is unclear—it doesn't state a specific verb like 'convert' or 'format' and doesn't specify what inputs are expected. It distinguishes from siblings only by the 'bytes' keyword, not by behavior.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives like 'convert_units' or other converter tools. The only extra information is the cost, but no context about appropriate use cases or exclusions is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations supplied, the description carries the full burden of behavioral disclosure. It does mention the cost ($0.001 USDC via x402), which is a useful operational detail, but it omits side effects, input requirements, failure behavior, or what happens after payment.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded with the tool name and cost, with no filler words. However, brevity comes at the expense of essential semantic details, making it under-specified rather than appropriately concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, absence of an output schema, and the existence of many sibling calculator tools, this one-line description is incomplete. It does not state the formula, expected inputs, units, return format, or any example, which is insufficient for reliable selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema exposes only a generic 'params' JSON object with no internal properties described, so an agent cannot know what arguments to pass. The description adds no parameter details, such as mass and volume fields or units, leaving the tool effectively unusable without external knowledge.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name ('density calc') and labels it as 'Other Utilities tool' without a specific verb or explanation of what it computes. It fails to distinguish itself from the many sibling calculator utilities that also perform numeric calculations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use density_calc versus other calculators or utility tools. There are no prerequisites, alternatives, exclusion conditions, or usage context beyond the generic 'Other Utilities' label.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden. It mentions the cost via x402, but does not disclose whether the operation is read-only, how it handles malformed HTML, or what the output format is.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief (two clauses) but wastes its brevity by restating the tool name and focusing on cost. It lacks substantive information, making it under-specification rather than proper conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's apparent complexity (extracting HTML tables), the minimal description, no output schema, and no annotations leave major gaps. An agent cannot reliably know input requirements, return structure, or edge-case behaviors.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has only a generic 'params' object with no specific properties, and the description adds no detail about what parameters are needed (e.g., URL, HTML string, selector). Schema coverage is 100% only in a tautological sense, so the description must compensate but doesn't.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'extract html table' clearly states the verb and resource, indicating the tool extracts tables from HTML. However, it doesn't distinguish this from related sibling tools like 'read_url' or 'web_scrape', which could also extract content from HTML.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives such as web_scrape or extract_contacts. The description only adds a cost note, not context about prerequisites or scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions a cost of $0.001 USDC via x402, which is a behavioral trait, but it does not disclose what the tool does, what side effects or state changes occur, what the return value looks like, or any operational requirements. This is minimal transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but it suffers from under-specification rather than efficient conciseness. It consists of two fragments: a vague label and a cost note. Neither sentence earns its place by conveying useful selection/invocation information, so the minimalism is not a virtue.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a generic input schema that hides real parameters, the description must compensate but does not. The tool appears to be a content/AI utility, yet the description provides almost no information about its functionality or expected inputs, making it impossible for an agent to determine when or how to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with a description 'Tool parameters as JSON object', so schema coverage is technically 100%. The description adds no parameter-level detail, leaving the actual parameters unknown. Since the schema already describes the only top-level parameter, a baseline score of 3 is appropriate, but the description offers no additional meaning.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'faq — Content & AI tool' states a vague category rather than a specific action. It does not identify a verb or resource, and it does not distinguish the tool from many similar content/AI tools in the sibling list (e.g., summarize, paraphrase, translate). It is not a complete tautology but fails to convey a clear purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus any of the dozens of sibling tools. No context, prerequisites, or exclusions are provided. The only additional information is the cost, which does not help in selecting the right tool for a task.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does mention the $0.001 USDC cost, which is useful transparency, but it omits any description of what the tool does, side effects, authentication requirements, or return behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loads the tool name and cost information in a single sentence. Minor redundancy exists between 'fuel cost' and 'Other Utilities tool,' but there is no unnecessary verbosity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and a generic params object, the description leaves the core function completely unknown. The name 'fuel cost' and the payment line are insufficient for an agent to correctly select and invoke the tool or interpret its result.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% because the single 'params' wrapper is documented as 'Tool parameters as JSON object,' but this adds no concrete meaning. The description does not enrich parameter understanding, so it meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name and labels it 'Other Utilities tool' without any verb or functional explanation. It does not clarify whether fuel_cost calculates fuel expenses or is merely a paid utility, leaving the agent unable to distinguish it from sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. The only contextual hint is the x402 payment requirement, which implies a paid call but does not indicate appropriate use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost of $0.001 USDC via x402, which is a behavioral trait not covered by annotations. However, it does not describe the input/output behavior, error handling, or side effects, leaving the agent without essential transparency for a tool with no annotation support.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, with only two short statements. It front-loads the core purpose ('hex to hsv') and includes a useful cost note. There is no fluff, though the brevity sacrifices clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, and a generic input schema, the description should clarify how to call the tool and what to expect. It only provides a name-like phrase and cost, so the description is incomplete for even a simple conversion tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no defined properties, and the description does not explain what parameters to provide (e.g., a hex color code). The description adds no value over the schema, leaving the tool's parameters completely undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'hex to hsv' restates the tool name without an explicit verb like 'convert,' though it adds the category 'Colors & Design tool.' The purpose is implied but not clearly articulated, and there is no differentiation from sibling color conversion tools beyond the name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or how it relates to alternatives such as hex_to_hsl or hsv_to_hex. The only additional information is the cost, which does not help with usage decisions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. It reveals only the cost ($0.001 USDC via x402) but does not mention what inputs are required, whether it performs a pure calculation, or what the output looks like. This is a significant gap for a tool that takes arbitrary JSON parameters.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but it uses valuable characters on category labeling ('Other Utilities tool') and cost rather than explaining the tool's actual purpose or usage. It is concise but not effectively structured to convey essential information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a physics calculation tool with no output schema and a completely generic input schema, this description is grossly inadequate. It does not state what inputs the tool expects, what calculation is performed, or what the result represents, leaving the agent unable to use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single generic 'params' object wrapper with no actual properties, so the schema provides no meaningful parameter information. The description fails to compensate by not mentioning mass, velocity, or any required fields, leaving the agent to guess what to put inside the params object.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name 'kinetic energy calc' and adds a category label 'Other Utilities tool.' It implies calculating kinetic energy but does not specify the inputs or formula, and it does not distinguish the tool from sibling physics calculators like force_calc or momentum_calc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives, nor are any prerequisites or typical use cases mentioned. The only extra information is the payment cost, which is not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of explaining behavior, but it only reveals that the tool costs $0.001 USDC via x402. It fails to disclose the operation's nature, required inputs, return value, or any side effects, leaving the agent without essential behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but the first clause merely repeats the tool name and the category is minimally informative. The cost clause is useful, yet the overall structure does not earn its place because it omits core functional details rather than being simply concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, no annotations, and a generic params wrapper, the description is far from complete. It does not say what inputs are required, what output is produced, or how the x402 payment is initiated, making it nearly impossible for an agent to invoke the tool correctly without external knowledge.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single generic 'params' object with 100% description coverage, so the baseline is 3 per the rubric. However, the description adds no meaning about the actual parameters, and the schema's 'Tool parameters as JSON object' is unhelpfully generic, not naming fields like age, sex, height, or weight.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name as a noun phrase ('lean body mass') and adds a generic category ('Health & Fitness tool'), but never states what the tool actually does, what it calculates, or what it returns. It does not distinguish this from sibling tools like body_fat_calc or ideal_weight_calc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no context for selecting it. The only extra information is the payment cost, which does not help an agent decide when this tool is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description does disclose one important behavioral trait: the tool costs $0.001 USDC via x402. This is valuable for the agent to know before invocation. However, it says nothing about the tool's read/write nature, side effects, or required authentication beyond payment.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, which is concise, but the phrase 'lookup http code' is a tautology with the tool name and wastes space. The cost information is useful, but the structure does not front-load the key purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema and no annotations, the description should clarify what input it expects and what output it returns. It does neither, making it incomplete even for a simple lookup tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only provides a generic 'params' object with the description 'Tool parameters as JSON object', which is not informative. The tool description adds no details about how to specify an HTTP code (e.g., as a number or string), so the agent has no parameter guidance.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'lookup http code' merely restates the tool name without explaining what the tool actually does—whether it returns the meaning of an HTTP status code, lists codes, or something else. It doesn't distinguish from sibling lookup tools like lookup_html_entity or lookup_mime_type.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool or how it differs from alternatives. Only a vague category label ('Other Utilities tool') and the cost are given, leaving the agent to guess appropriate usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, but it only discloses the $0.001 USDC cost. It does not mention accepted input, output format, side effects, or rate limits, so an agent cannot anticipate the tool's behavior beyond the price.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief and contains no fluff, but the brevity results in under-specification rather than efficient communication. The cost sentence is useful, but the rest merely restates the name and category.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no annotations and no output schema, and the description provides only a name plus cost. In a long sibling list with many text utilities, this is insufficient context for an agent to select and invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one generic 'params' object with no property details, and the description adds no parameter semantics. Because schema coverage is reported at 100%, the baseline 3 applies, but the description adds no meaning beyond 'tool parameters as JSON object.'
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description repeats the tool name 'readability analyze' and labels it 'Other Utilities tool,' but never states what the tool actually does (e.g., compute a readability score for text). It also fails to distinguish this from the sibling readability_url, which likely analyzes readability for URLs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use readability_analyze versus alternatives such as readability_url or text_stats. The only additional signal, the cost, does not help with tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must disclose behavioral traits itself. It mentions a $0.001 USDC cost via x402, which is a useful operational detail, but it fails to describe what the tool does, what side effects may occur, or any security implications. This is insufficient for a tool with unknown behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but it is under-specified rather than concise. It contains a vague category and a cost note, but lacks the essential details needed to understand the tool. The cost sentence is useful, but the primary content does not earn its place as it conveys almost nothing actionable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema and an input schema that only accepts a generic 'params' object. The description is critically incomplete, providing no information about what the tool does, what parameters to pass, or what response to expect. An agent cannot correctly select or invoke this tool based on the given information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single 'params' object with a generic description 'Tool parameters as JSON object', providing no parameter names or types. Although schema description coverage is formally 100%, the description adds no meaning beyond the schema. It earns the baseline score because the schema technically covers the property, but the nested parameter structure is undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description labels the tool as a 'Content & AI tool', which is a vague category rather than a specific action. It does not state a verb or resource, leaving the tool's actual function ambiguous. It does not distinguish itself from siblings like summarize or text_stats, though it is not a pure tautology.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The only additional information is the cost, which does not help an agent decide when to invoke it. There is no mention of prerequisites, exclusions, or preferred contexts.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It does mention the cost ($0.001 USDC via x402), which is a useful disclosure, but it says nothing about the operation itself—whether it processes an image, returns a preview, or has side effects. With no annotations, this is minimal transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is one short sentence and is front-loaded with the tool name and cost. Every word is functional, and there is no verbose filler. It sacrifices substance for brevity but is appropriately sized for a minimal description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, no annotations, and a generic params object. The description gives only a category and a price, leaving the agent without essential information about the simulation's purpose, inputs, or return value. This is highly incomplete for a tool that offers no other structured guidance.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no specific fields, so schema description coverage is effectively 100%. However, the description adds no meaning about what parameters should be provided (e.g., an image URL, color value). Per the baseline rule, high schema coverage yields a score of 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name ('color blindness sim') and adds only a vague category label ('Colors & Design tool'). It does not state the action, input, or output of the simulation, and it does not differentiate this tool from sibling color tools like convert_color or color_temperature.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It lacks any context about use cases, prerequisites, or exclusions, which is especially important given the large number of sibling tools in the Colors & Design category.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full responsibility for disclosing behavioral traits. It does mention the cost via x402, which is useful, but it omits details about error handling, output format, or state changes. For a conversion tool, the lack of detail is significant.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded with the action, which is good, but it includes the filler phrase 'JSON & Data tool' that adds no value. It is concise but lacks a helpful structure beyond the basic action.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity, the description still fails to provide essential context: no info about the input structure, return value, or usage examples. The cost mention is useful but does not compensate for the missing operational details necessary for an AI agent to invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with no specific parameter descriptions, and the tool description does not add any meaning about what parameters are required or accepted. The '100% schema coverage' is misleading because it refers to a placeholder, not actual parameter documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool converts JSON to CSV with a specific verb and resource. However, it does not differentiate from sibling conversion tools like json_to_yaml or convert_csv_to_json beyond the name, and the added 'JSON & Data tool' tag is generic.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, no context on input requirements, and no mention of prerequisites. The cost is noted, but not the typical use case or expected data flow.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It does mention a cost of $0.001 USDC, which is a useful operational detail, but it doesn't disclose return format, error behavior, side effects, or any limitations. The minimal cost note is insufficient for a tool with no other behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences with zero fluff: 'evaluate math — Other Utilities tool. Costs $0.001 USDC via x402.' Every word serves a purpose, and the structure is front-loaded with the core purpose. As a model of conciseness, it's exactly as compact as it should be, though this comes at the expense of completeness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and a single opaque parameter, the description is severely incomplete. It provides some context (category and cost) but fails to explain expected inputs, outputs, examples, or edge cases. The presence of many sibling math tools makes this incompleteness particularly problematic, as there's no way to know what 'evaluate math' actually evaluates.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with no specific properties, and the description adds no information about what parameters are needed to evaluate math. The schema's description 'Tool parameters as JSON object' is tautological and unhelpful. The agent has no idea what keys or values to include, making the tool effectively unusable without external knowledge.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool evaluates math, which is a specific verb+resource, but it doesn't clarify what kind of math (arithmetic, algebra, etc.) or distinguish it from the many math-related sibling tools like factorial_calculator or percentage_calculator. The phrase 'evaluate math' essentially restates the tool name without adding scope or differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. It doesn't mention use cases, prerequisites, or exclusions. The description lacks any comparison to sibling math tools, leaving the agent to infer when 'evaluate_math' is the appropriate choice.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The only behavioral trait disclosed is the cost of $0.001 USDC via x402. There is no mention of password length, complexity, randomness, or any side effects. With no annotations, the description carries the full burden but provides minimal transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, packing category and cost into a single sentence. There is no wasted wording, and the cost information is relevant for an agent to know before invoking the tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a generator tool with no annotations, no output schema, and no parameter specifics, the description is insufficient. It lacks details on how to invoke the tool, what options are available, and what the return value looks like. The only provided context is cost and category.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 100% description coverage for its single 'params' property, but that description is generic ('Tool parameters as JSON object') and provides no specific parameter information. The description adds nothing about parameters. Per the rubric, high schema coverage gives a baseline of 3, but the added value is marginal.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'generate password' directly restates the tool name without elaborating on its function. Adding 'Generators tool' merely places it in a category, but does not distinguish it from other generator tools like generate_uuid or generate_lorem_ipsum.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The only additional context is the cost, which does not help an agent decide between generate_password and other generator tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It adds the fact that using the tool costs $0.001 USDC via x402, which is useful behavioral information. However, it does not disclose what data is returned, whether prices are real-time, or any rate limits or authentication requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, which is good for conciseness, but the phrase 'Data & Weather tool' is confusing and adds little value. The cost statement is useful but could be better integrated into a clearer structure.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema and minimal description. Given the nested 'params' object and the potentially complex nature of cryptocurrency price retrieval, the description is severely incomplete. It does not explain inputs, outputs, or how this tool fits among many siblings.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no meaningful parameters, and the description does not explain any required or optional fields. The schema description coverage is 100% only because the sole property is a placeholder. The description adds no parameter meaning.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'get crypto prices', which is a specific verb+resource that clearly indicates the tool retrieves cryptocurrency price data. It is distinguishable from siblings like convert_currency and get_weather, though it lacks detail on which cryptocurrencies or price types are covered.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like currency conversion or financial calculators. It only mentions a cost, which is not a usage criterion. There is no context about required inputs or scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full burden of behavioral disclosure. It does disclose a monetary cost ($0.001 USDC via x402), which is useful, but it omits critical behavioral aspects such as the hashing algorithms supported, whether the operation is deterministic, output format, or any side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise at one sentence and front-loaded with the tool name, but it is under-specified. It includes an unnecessary format label ('Text & Encoding tool') that adds little value while omitting essential invocation details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, no annotations, and a parameter schema that is a generic passthrough, the description is far from complete. An agent cannot reliably determine how to call the tool, what to pass in 'params', or what to expect in response.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema defines a single generic 'params' object with no property details. The description fails to specify what keys or values the 'params' object should contain (e.g., text, algorithm). Schema coverage is 100% only in the sense that the generic 'params' is documented, but it conveys no semantic meaning.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action ('hash text') and resource (text), and also assigns a category ('Text & Encoding tool'). This distinguishes it from unrelated tools in the sibling list, though it does not specify which hash algorithm is used or how it differs from other text transformation tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no explicit guidance on when to use this tool over alternatives. The 'Text & Encoding tool' categorization is a weak context signal, but there is no mention of typical use cases, exclusions, or alternative tools for similar tasks.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the transparency burden. It does disclose a key behavioral trait: the tool costs $0.001 USDC via x402, implying a payment step. However, it does not explain what action the payment triggers, what data is involved, or what the tool returns.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, but it contains redundant 'kronos preflight' text and a vague 'Market Intel tool' phrase. It is concise in length but not optimally structured since the first half restates the name rather than adding functional value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with a generic schema, no output schema, and a family of closely related Kronos sibling tools, the description is insufficient. It fails to explain what a 'preflight' does, what output to expect, or how it relates to kronos_signals, kronos_decision, etc. The only concrete detail is the cost.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has only a generic 'params' object with 100% description coverage, but that description ('Tool parameters as JSON object') adds no real semantics. The tool description adds no parameter information either, so it meets the baseline of 3 for high schema coverage but does not exceed it.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description reads 'kronos preflight — Kronos Market Intel tool,' which largely restates the tool name and gives only a broad category ('Market Intel tool') without specifying what the preflight operation actually does. It neither names a verb action nor distinguishes itself from sibling Kronos tools like kronos_signals or kronos_risk.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. It only mentions a cost of $0.001 USDC via x402, which is a pricing detail, not a use-case or selection criterion. The presence of many sibling tools makes this absence especially problematic.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the monetary cost ($0.001 USDC) but does not explain operational behavior such as sending a network request, return format, or potential side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is one concise sentence, front-loaded with the category and cost. It is not overly verbose, and the cost information earns its place as a key operational detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with no output schema and no annotations, the description should explain what the tool returns and how it operates. It only mentions cost, leaving out essential behavioral and output details.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% because the only property 'params' has a description, but that description ('Tool parameters as JSON object') is generic. The tool description adds no parameter details, though the baseline of 3 applies due to high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only states 'Security & Network tool' without specifying that this is a network ping operation. It does not distinguish from siblings like dns_lookup or port_check, and the actual function is only implied by the tool name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description lacks any context about testing host reachability or when a network/diagnostic tool would be appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost ($0.001 USDC via x402) and the category, but does not describe the actual transformation behavior, side effects, or return format. Since no annotations exist, the description carries the full burden and falls short.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief and under-specified, repeating the tool name followed by a category and cost. It is not a tautology but lacks essential behavioral information, making it under-specified rather than concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple text transformation, the description is minimal, lacking explicit input/output details and differentiation from similar case-manipulation tools. The payment disclosure is helpful, but overall the context is incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only contains a generic 'params' object with no specific parameter definitions, and the description adds no parameter details. The implication that text should be passed is present only in the tool name, not in the description or schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description identifies the tool as a 'Text & Encoding tool' and the name 'swap_case' clearly implies toggling letter case. However, it does not explicitly explain the operation or distinguish it from sibling tools like invert_case or convert_case, relying on the name alone.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives such as convert_case or invert_case, and no mention of input requirements. The only extra information is the cost, which does not serve as usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses the cost ($0.001 USDC via x402) but says nothing about the operation's behavior, side effects, input expectations, or output format. For a text transformation tool this is a notable gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short: 'title case — Text & Encoding tool. Costs $0.001 USDC via x402.' It is front-loaded and contains no filler, though the phrase 'title case' repeats the tool name.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple text transformation tool, the description is incomplete: it does not explain what the tool does, what input it expects, or what it returns. It mentions only the category and cost, leaving too much to inference.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with a placeholder description ('Tool parameters as JSON object'), and the description adds no parameter information. The 100% schema coverage is superficial because the actual nested parameters are unspecified, leaving the agent without guidance on what fields to provide.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'title case' and categorizes it as a 'Text & Encoding tool', which hints at its function but does not explicitly say 'Converts text to title case'. It relies heavily on the tool name to convey purpose, and it doesn't distinguish from close siblings like convert_case or swap_case.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives such as convert_case or slugify_text. The only non-name information is the cost, which is not usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full burden of behavioral disclosure. It does add the cost ($0.001 USDC via x402) but says nothing about input handling, return values, errors, or side effects. For a conversion tool this is minimal but not sufficient for a would-be invoker.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, with the key cost information present. The phrase 'JSON & Data tool' is somewhat redundant, but overall it is concise and scannable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema and no annotations, yet the description does not explain how the XML input should be provided or what the JSON output will look like. For a tool with a generic parameter object, this is a clear gap in operational completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a generic `params` object with a description, so baseline is 3 due to 100% schema coverage. The description adds no detail about what parameters should be supplied (e.g., XML string), so it does not improve understanding beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'xml to json — JSON & Data tool' essentially restates the tool name, with the verb 'convert' left implied. It does not explicitly say 'Converts XML to JSON', and the category label 'JSON & Data tool' adds no differentiation from siblings like json_to_xml or process_json.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives such as json_to_xml or process_json. The only clue is the conversion direction implied by the name, but there are no use cases, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden. It only exposes the cost ($0.001 USDC via x402) and the network/security category, but does not disclose what the tool does operationally, what input it expects, what side effects or security considerations exist, or what it returns.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short and front-loaded, but it repeats the tool name and supplies only cost and category. While concise, this brevity comes at the expense of substantive content; the sentence structure is not problematic, but it feels under-specified rather than appropriately sized.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's likely complexity (network/security action), the absence of annotations, no output schema, and a generic parameter schema, the description is not complete enough. It fails to explain what inputs are needed, what outputs to expect, or how the tool interacts with external systems.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 100% coverage for the single parameter 'params', but the description 'Tool parameters as JSON object' is generic. Since schema description coverage is high, the baseline is 3, but the description adds no detail about expected fields like domain name or options, leaving the parameter semantics largely undefined.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'dnssec check' which is essentially a restatement of the tool name, though it adds 'Security & Network tool' as a category. It is vague about what kind of DNSSEC check is performed (e.g., validation, record inspection, chain trust), so it only partially clarifies purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives like dns_lookup, dns_whois_lookup, or check_ssl_certificate. There are no prerequisites, exclusions, or context for when this tool is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a key behavioral trait: the tool costs $0.001 USDC via x402, which is essential for an agent to know before invoking it. However, with no annotations, it does not disclose other behavioral aspects such as return format, side effects, or authorization requirements. The cost disclosure adds value but leaves significant gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, one sentence, with no wasted words. It front-loads the tool name and domain, then provides the cost. While it could be more informative, conciseness itself is good.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no annotations, no output schema, and a trivial input schema. For a financial calculator that likely requires several parameters and produces detailed results, the description is severely incomplete. It does not explain what calculations it performs, what inputs are needed, or what the agent can expect in return.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema provides only a generic 'params' object with no specific parameter definitions, and the description adds no parameter details. Even though schema description coverage is 100%, it is for a placeholder wrapper, not meaningful semantics. The agent cannot infer what inputs are needed (e.g., balance, interest rate, payment).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description identifies the tool as 'credit card payoff' and categorizes it as 'Finance & Math tool', but it lacks a clear verb specifying what the tool does (e.g., calculates payoff amount, generates amortization schedule). It is not a pure tautology but does not clearly distinguish it from sibling financial calculators like loan_calculator or compound_interest.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, scenarios, or exclusions. The description only states the domain and cost, leaving the agent to infer usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the cost ($0.001 USDC via x402) but says nothing about input constraints, output format, edge cases, or side effects. The behavior is largely opaque beyond the basic encode operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief and front-loaded with the tool's purpose, but it sacrifices necessary detail for brevity. The cost mention is extra context, yet overall it feels under-specified rather than efficiently concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has minimal annotations, no output schema, and a generic input schema. The description does not compensate for these gaps, failing to explain expected inputs, outputs, or usage context. It is only partially complete for making an informed invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only defines a generic 'params' object with 100% coverage of that single meta-parameter, but it provides no actual parameter details. The description adds no semantic meaning about what parameters to pass, leaving the agent without crucial information.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: 'encode base32' is a specific verb+resource that distinguishes it from siblings like encode_base64. It also categorizes it under Text & Encoding tools, but lacks any further detail about what it encodes or returns.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives like encode_base64 or binary_convert. The category label 'Text & Encoding tool' only implies a general context, with no explicit conditions or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits, but it only mentions cost and category. It does not explain what the tool does beyond the name, any required input format, return value, or side effects. The cost disclosure is a minor positive, but core behavioral information is absent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, front-loaded with the tool name, and contains no fluff or redundant phrasing. It is efficient and well-structured, though brevity here comes at the cost of informativeness, which is addressed in other dimensions.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of output schema, annotations, and the generic input schema, the description is far too sparse. It does not explain what parameters to pass, what the output looks like, or any other operational details. For a simple tool, some basic context is still needed, making this incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with a description that only says 'Tool parameters as JSON object', carrying no specific meaning. Although schema coverage is 100%, the description adds no information about what fields the params object should contain (e.g., date, format). The tool description does not compensate, leaving parameters completely underspecified.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'get week number' which names the resource and implies fetching a week number, but the added 'Data & Weather tool' label is vague and does not specify what input is expected or what exactly is computed. It does not distinguish from similar tools like get_season or get_weather, making it minimally clear but not fully descriptive.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description only gives a broad category ('Data & Weather tool') and cost, with no mention of prerequisites, use cases, or when to prefer other sibling tools. This leaves the agent without context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. The only behavioral detail is the cost: 'Costs $0.001 USDC via x402.' This is useful, but the description does not disclose the return format, whether the operation is read-only, error behavior, or any limitations. For a pure conversion tool, more transparency about output structure would be expected.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief, consisting of a single phrase and a cost note. It contains no filler words, and every word adds some information. However, the brevity comes at the expense of necessary usage and parameter details, making it under-specified rather than appropriately concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of output schema and annotations, the description is incomplete. It does not explain the expected input structure or the return value for a successful conversion. While the tool's complexity is low, the description fails to provide enough information for an agent to reliably invoke it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only defines a generic 'params' object with no nested property descriptions, effectively providing little real coverage of the actual HSL input fields. The description does not compensate by explaining whether to pass h/s/l as separate keys, an array, or a string. The agent has no way to construct a valid call from the given information.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'hsl to rgb' which clearly indicates the conversion from HSL to RGB color space, and it categorizes itself as a 'Colors & Design tool'. However, it lacks an explicit verb like 'converts', and the description heavily relies on the tool name itself to convey the purpose. It is distinguishable from siblings like hex_to_hsl and rgb_to_hsl by naming the specific source and target formats.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, such as rgb_to_hsl or hex_to_hsl. The description does not mention any conditions, prerequisites, or alternative tools. It only provides a category label, so the agent has no context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears the burden of disclosure. It does disclose a meaningful behavioral trait—'Costs $0.001 USDC via x402'—which alerts the agent to payment implications. However, it omits other behavioral details such as whether it reads or writes data, side effects, or limitations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise—two short sentences that convey the tool name, category, and cost with no wasted words. It is efficiently front-loaded and easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, and a generic input schema, the description leaves critical gaps: it does not explain the conversion direction, input format, output format, or any edge cases. Despite the tool's apparent simplicity, the information provided is insufficient for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only defines an opaque 'params' object with no actual parameter names or types, and the description adds no parameter information. An agent cannot determine what keys or values to pass when invoking the tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description names the resource (Morse code) and places it in the 'Text & Encoding' category, but it lacks a specific verb such as 'encode' or 'decode' and does not state the exact operation. It is somewhat clearer than a bare name but remains vague and undifferentiated from sibling encoding tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives like encode_base64 or caesar_cipher. The description only mentions the cost and category, providing no context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the cost ($0.001 USDC via x402), which is useful, but it does not disclose input format expectations, output structure, error behavior, supported phone formats, or limitations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded. However, the first sentence merely restates the tool name, and the 'Other Utilities tool' label is of limited value. The cost detail is relevant and earns its place. It is concise but not maximally information-dense.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the degenerate parameter schema and lack of output schema, the description is insufficient for an agent to know what input to provide or what result to expect. The cost detail does not compensate for missing behavioral and parameter context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object with no internal property definitions, and the description adds no parameter details beyond the tool name. The schema description coverage is technically 100% but vacuous, as it only says 'Tool parameters as JSON object'. The description doesn't compensate for the lack of meaningful parameter guidance.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'parse phone number', which is a specific verb+resource. It is clear what the tool does at a basic level, but it doesn't add any detail about the scope or behavior of parsing. No sibling tool is a phone parser, so it is somewhat distinguished by default, but the description itself doesn't explicitly differentiate it.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool, what alternatives exist, or any exclusions. The only additional note is the cost, which relates to payment, not usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden for behavioral disclosure. It does mention that the tool costs $0.001 USDC via x402, which is a key behavioral trait (payment side effect). However, it does not disclose other important behaviors such as whether it is read-only, what data it accesses, or any side effects beyond the cost. The cost disclosure is valuable but not comprehensive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short (one line), which is concise. It opens with the name and category, then provides the cost. The cost sentence is necessary, but the 'Content & AI tool' part is somewhat redundant with the name. Overall, it is efficient but not entirely free of redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is incomplete for a paid AI tool. It lacks any information about the expected input text, the output format, or how it differs from similar siblings. Given there is no output schema and the input schema is a black-box JSON object, the agent cannot confidently invoke this tool. The cost disclosure is helpful but insufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one parameter 'params' described as 'Tool parameters as JSON object'. Since schema coverage is 100% (the single property has a description), the baseline is 3. However, the description adds no information about what keys should be present inside the JSON object. The tool name implies passing text, but the description does not help clarify the actual parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description only states 'proofread — Content & AI tool', which is a vague category, not a clear function. It does not specify that the tool proofreads text or what input it takes. The name implies the purpose, but the description relies on that rather than stating the verb and resource.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not mention any use cases, prerequisites, or contrast with siblings like 'grammar', 'summarize', or 'paraphrase'. The only added note is the cost, which is not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavior. It mentions the $0.001 USDC cost, which is useful operational context, but it does not explain the transformation behavior (e.g., how spaces, case, or special characters are handled) or the return format. This is a significant gap for a tool with no annotation safety profile.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, using a single sentence to convey the operation, category, and cost. It is front-loaded and contains no fluff, though the 'Text & Encoding tool' phrase is somewhat redundant with the name.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simple function and the absence of an output schema, the description is under-specified. It fails to tell the agent what input to provide, what the output looks like, or how it differs from many similar sibling text tools. The cost mention is helpful but does not make the description complete enough for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only defines a generic 'params' object with no properties, and the description adds no parameter details. The agent cannot determine that the tool expects something like a 'text' field or how to structure the input. Despite the schema coverage being listed as 100%, the description is generic and does not compensate for the lack of concrete parameter semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function via the verb 'slugify' and the resource 'text', and the category 'Text & Encoding tool' provides context. It distinguishes itself from sibling tools by naming a specific transformation operation, though it does not elaborate on what slugification entails (e.g., lowercasing, hyphenation).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives, such as normalize_text or convert_case. The description only provides a category label and pricing, with no mention of prerequisites, exclusions, or comparison to similar text manipulation tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations available, the description carries the burden of disclosure. It does disclose a significant behavioral trait: the cost of $0.001 USDC via x402. However, it omits other behavioral details such as whether it requires network access, what it returns, or any side effects. It offers one meaningful detail but not a full picture.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise, consisting of two short sentences. The first sentence states the tool's purpose and category; the second provides actionable cost information. There is no fluff or unnecessary repetition, making it appropriately sized for a simple tool, though the brevity does limit informativeness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and a generic parameter schema, the description is incomplete. It does not define what a nanoid is, what parameters are supported, any defaults, or the output format. The cost information is useful, but the overall description fails to give an agent enough context to invoke the tool correctly without external knowledge.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with a non-specific description ('Tool parameters as JSON object'), and required parameters are empty. The description adds no information about what parameters are accepted (e.g., length, alphabet, prefix). Even though schema coverage is nominally 100%, the description does not compensate for the vagueness of the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'generate nanoid' which is a clear verb+resource, and categorizes it as a Generators tool. However, it does not explain what a nanoid is, nor does it distinguish this tool from siblings like generate_uuid or generate_ulids, leaving the purpose only moderately clear.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives. There is no mention of preferred contexts, exclusions, or selection criteria relative to other generator tools (e.g., generate_uuid, generate_ulids). The description is purely factual about what it does and its cost.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the transparency burden. It usefully discloses the cost ($0.001 USDC via x402) and categorizes itself as a 'Generators tool'. However, it does not describe the return format, whether the generation is cryptographically secure, or any other side effects, leaving gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that front-loads the action and includes the cost. It is efficient with no wasted words. However, it is so brief that it borders on under-specification, which is why it doesn't receive a 5.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple but the description is incomplete given the lack of annotations and output schema. It does not explain how to specify random number parameters, what the response looks like, or how it differs from the many sibling tools. This would be minimally viable for a very simple tool, but clear gaps remain.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with the description 'Tool parameters as JSON object', which provides no actual semantic meaning. The tool description does not compensate by explaining what parameters the tool accepts (e.g., min, max, count), so an agent would not know how to invoke it.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear verb and resource ('generate random numbers'), so it's not a tautology. However, it lacks specificity about what kind of random numbers (integers, floats, range, count) and does not distinguish it from sibling tools like 'flip_coin', 'roll_dice', or 'generate_password'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives. The mention of cost and 'Generators tool' provides some context, but there is no explicit 'when to use' or 'when not to use' compared to the many sibling random-generation tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the cost ($0.001 USDC via x402), which is a behavioral trait, but does not describe the output format, whether it is deterministic, or any other side effects. This is insufficient for a tool with no annotation support.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, with no wasted words. The cost information is useful, but the initial 'generate uuid' is redundant with the tool name. Overall, it is concise but could be restructured to add more value in the same space.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simplicity of the tool, the description is still incomplete. There is no output schema or annotations, so the description should explain the return format (e.g., UUID v4 string) and any parameter options. The absence of this information makes it hard for an agent to know what to expect or how to configure the call.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with no required fields, and the description provides no additional meaning. Although schema description coverage is technically 100%, the description is just 'Tool parameters as JSON object' and does not clarify what keys are valid or whether any parameters are needed. The tool description does not compensate, leaving parameter semantics largely unspecified.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool generates a UUID, which is a specific verb+resource. However, it essentially restates the tool name without adding distinguishing details from sibling tools like generate_nanoid or generate_ulids. The purpose is clear but lacks explicit differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives such as generate_nanoid or generate_ulids. The description only mentions the cost, not the contextual use cases or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It does mention the cost and payment method (x402), which is useful context, but it omits any details about input expectations, error cases, data handling, or output format. The negligible behavior description leaves the agent underinformed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, with two sentences. The cost sentence adds some value, but the first sentence is more of a label than a structured description. It is under-specified rather than properly concise, as it fails to provide essential guidance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is extremely underdescribed. Given a simple conversion tool, the agent still needs to know what input format to provide (e.g., JSON string, file path), any options, and what the output will be. With no annotations, no output schema, and only a vague 'params' schema, the description is completely inadequate for reliable invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one generic 'params' object with 100% coverage, so the baseline is 3. The description adds no parameter-specific meaning, and the schema's explanation ('Tool parameters as JSON object') is shallow. While the conversion format is implied, the actual required parameters (e.g., the JSON input) are not clarified.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly indicates a JSON-to-YAML conversion tool, with the resource and conversion direction explicit in the name and title. However, it lacks a proper verb phrase (e.g., 'converts JSON to YAML') and does not differentiate from other converter tools like 'json_to_xml' or 'convert_json_to_csv' beyond the format name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description only states the conversion and cost, with no mention of prerequisites, scenarios, or exclusions. This leaves the agent without context for selecting it among the many sibling converter tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden of behavioral disclosure. It does disclose the cost ($0.001 USDC via x402), which is a significant behavioral trait. However, it does not mention return format, error handling, or any other side effects. For a simple conversion tool, the cost disclosure is useful but limited.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, with 'rgb to hsl' in the first few words. It contains only two sentences and no fluff. However, 'Colors & Design tool' is somewhat generic and could be more illustrative, but overall it is efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity, the description still falls short. It does not specify the required input format (e.g., separate RGB channels, hex string) or the output format (e.g., HSL values as integers or percentages). The schema provides no help because it only has a generic 'params' wrapper. The cost note is useful but does not compensate for the lack of input/output details.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object with no specific parameter definitions, and the description does not mention parameters at all. There is no guidance on how to provide RGB values (e.g., integers, hex string, ranges). This is a critical gap because the agent cannot correctly construct a call without understanding the expected parameter structure.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The name 'rgb_to_hsl' clearly indicates a color conversion from RGB to HSL, and the description adds 'Colors & Design tool' to reinforce its domain. However, the description does not explicitly state the conversion action, relying on the name to imply it. This is clear enough to distinguish from siblings like hex_to_hsl, but could be more explicit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus other color conversion tools (e.g., hex_to_hsl, hsl_to_rgb). It only labels it as a 'Colors & Design tool', which is too vague to help an agent decide between alternatives. There is no mention of input formats or use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a cost behavior ('Costs $0.001 USDC via x402'), which is useful, but it does not explain other behavioral traits such as required input parameters, return format, or potential side effects. With no annotations, the description carries the full burden, and this is insufficient for an agent to anticipate behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence with no redundant words. It front-loads the core purpose and adds a cost note. While it could include more detail, it is appropriately short and avoids verbosity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations and a generic schema, the description is incomplete. It lacks essential context such as what input the tool expects (e.g., a URL), what the output looks like, and how it differs from similar sibling tools. This leaves an agent without enough information to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only has a generic 'params' object described as 'Tool parameters as JSON object', which gives no tool-specific meaning. The description does not mention any parameter names, types, or formats (e.g., a URL). Since schema coverage is effectively 0% for actual parameter semantics, the description fails to compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description specifies the action 'scrape meta tags' with a clear resource ('meta tags') and a category ('Web & SEO tool'). It distinguishes from generic scraping tools by focusing on meta tags, though it lacks scope details like input or output. It's not a tautology and provides a specific verb+resource.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool versus alternatives like get_og_metadata, web_scrape, or dns_lookup. There is no mention of contexts, prerequisites, or alternatives. The description simply states what it is without any usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of behavioral disclosure. It usefully discloses a payment requirement ($0.001 USDC via x402), which is a significant operational trait. However, it does not state the return format or input behavior, leaving gaps for a conversion utility.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief and front-loaded, but the first clause largely restates the tool name. The category and pricing sentences add value, yet the overall brevity contributes to under-specification rather than efficient completeness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the generic input schema and lack of an output schema, the description must explain how to specify CMYK values and what the result looks like; it does neither. The sibling tools include similar color converters, so more operational detail is needed to disambiguate usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is a generic 'params' object with no specific properties, and the description adds little beyond implying the params should contain CMYK values. It does not provide key names, value formats, ranges, or an example, so agents cannot confidently construct the invocation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly indicates the tool converts CMYK to HEX and places it in the Colors & Design category, which distinguishes it from unrelated tools. Although it lacks an explicit verb like 'converts', the conversion direction is unambiguous from the name and description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives such as convert_color or hex_to_cmyk. The pricing note is operational, not usage context, and no prerequisites or exclusions are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost ($0.001 USDC via x402), which is a useful operational trait. However, with no annotations, it fails to describe conversion behavior, input handling, return format, or side effects. The description carries the full burden but provides minimal behavioral insight.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and to the point, but the phrase 'JSON & Data tool' is vague filler that doesn't earn its place. The cost sentence is useful, but overall the structure is minimal without clear headings or additional context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a converter tool, the description is incomplete. It lacks details about input format expectations, output structure, or error handling. The cost note is helpful, but given no output schema and low complexity, the description should at least explain the conversion basics.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema describes a generic 'params' object with no inner properties, and the description adds no parameter information. Since schema description coverage is 100% (though superficial), the baseline is 3. The description does not compensate with any specifics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description names the conversion 'ini to json' which clearly indicates it converts INI format to JSON. It also categorizes it as a 'JSON & Data tool.' This provides clear purpose, though it doesn't explicitly distinguish it from sibling conversion tools like json_to_yaml or toml_to_json beyond the format names.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description offers no guidance on when to use this tool vs alternatives. It only mentions the cost, not the context or exclusions. No alternatives are named and no usage conditions are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost via x402 but omits other behavioral aspects such as how randomness is simulated, what the output format is, or any constraints. With no annotations to rely on, the description is insufficient for understanding the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief and front-loaded with the core action, but it includes the filler phrase 'Other Utilities tool' and omits necessary details. It is not overly verbose, but the brevity results in under-specification.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, output schema, and informative parameter descriptions, the tool description should provide more context. It fails to explain what parameters are accepted, what the result looks like, or how to use it correctly within the broader tool ecosystem.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has one 'params' object with a generic description that provides no specific parameter details. Since schema coverage is 100%, the baseline is 3, but the description adds no information about what parameters (e.g., number of dice, sides) should be passed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool rolls dice, which is a specific verb+resource pairing that clearly conveys the action. It distinguishes itself from the sibling flip_coin by focusing on dice, though it doesn't explicitly contrast them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives like random number generators or flip_coin. No context or exclusions are provided; the description only mentions the cost, not usage scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full burden of behavioral disclosure. It only mentions the cost ($0.001 USDC via x402), which is useful, but doesn't disclose expected inputs, output format, side effects, or whether any authentication is needed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded with the tool name. The phrase 'Finance & Math tool' adds marginal value and could be considered slightly redundant, but overall it's concise without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a calculator tool with no output schema, no annotations, and a generic input schema, the description is incomplete. It fails to explain what the tool returns, what parameters to provide, or how it differs from the many other financial calculators in the sibling list.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, but the schema only defines a generic 'params' object wrapper with no specific parameters. The description implies the domain (auto loan) but doesn't enumerate required inputs like loan amount, interest rate, or term, leaving the agent to guess.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The name and description clearly identify this as an auto loan calculator, which is a specific financial tool distinct from general loan or mortgage calculators. However, the description doesn't specify what it computes (monthly payment, total interest, etc.), so it's clear but not fully detailed.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus the many sibling financial calculators. The description only states it's a finance & math tool, which implies usage but doesn't provide context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost ($0.001 USDC via x402), which is a behavioral trait beyond what annotations provide. However, it lacks other behavioral context like output format, side effects, or whether data is sent externally, leaving the annotation-free description incomplete.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with no wasted words, but it repeats the tool name ('calculate bmi') and provides minimal context. The cost detail is an efficient addition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and a simplistic input schema, this description is insufficiently complete. It fails to explain what inputs are needed, what the output looks like, or any operational details beyond cost.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only exposes a generic 'params' object with no specific fields. The description does not mention height, weight, units, or any other needed parameters, so it fails to compensate for the lack of parameter-level schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly indicates the tool calculates BMI by using the verb 'calculate' and identifies it as a Health & Fitness tool. It distinguishes from siblings only by the explicit subject 'bmi', but it does not mention that BMI stands for Body Mass Index or that it requires height and weight.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternative health-related calculators like bmr_calc or body_fat_calc. No mention of prerequisites, inputs, or scenarios for which this tool is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the cost ($0.001 USDC via x402), which is useful behavioral context beyond annotations. However, with no annotations, the description fails to state whether conversion is read-only, what inputs are required, or any limitations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, with the cost note appended clearly. It wastes few words, though 'data rate convert' does repeat the tool name.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given there is no output schema and only a generic params object, the description should explain usage, supported units, and return values. It only provides a category label and cost, leaving the agent without enough context to invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100% for the single 'params' object, so the baseline is 3. However, the description adds no additional parameter semantics—it does not mention supported units, value format, or output structure.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly indicates this is a converter for data rates, with the verb 'convert' and resource 'data rate' present. However, it does not explicitly differentiate from sibling converter tools beyond the resource name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like speed_convert or time_convert. There are no exclusions, alternatives, or contextual usage notes.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the $0.001 USDC cost via x402, which is a useful behavioral trait beyond the name. However, with no annotations, it does not disclose expected return format, required inputs, or side effects; the read-only nature is only implied.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, front-loaded with the tool's purpose and cost. It is compact and readable, with no fluff, though it is arguably too terse to be fully helpful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no detailed parameter schema, the description must explain what inputs are required and what data is returned. It does neither, leaving the agent to guess how to specify a location or interpret results.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a generic 'params' object with 100% description coverage, which establishes a baseline of 3. Yet the description adds no semantic meaning about what parameters are needed (e.g., location), so it does not genuinely help an agent invoke the tool correctly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves air quality data and categorizes it under Data & Weather, which makes the purpose immediately understandable. It is distinct from siblings by the specific 'air quality' resource, but does not explicitly contrast with get_weather or get_forecast.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to choose this tool over siblings like get_weather or get_forecast. The only additional context is the monetary cost, which is not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses a concrete behavioral trait: the cost of $0.001 USDC via x402. However, with no annotations, it fails to state whether the tool is read-only, what side effects exist, or what the response contains, leaving significant transparency gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is one concise sentence with no filler. It immediately communicates the tool name, category, and cost, earning every word.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with a generic params object, no output schema, and no annotations, this description is far from complete. It omits the specific forecast type, required inputs, expected outputs, and any behavioral constraints, making it difficult to invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single generic 'params' object with 100% description coverage, so the baseline of 3 applies. The tool description adds no parameter semantics beyond the schema, offering no hints about required fields or format.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Data & Weather tool', which clarifies it relates to weather forecasting but does not specify what kind of forecast or what data is involved. It is vague and does not distinguish it from siblings like get_weather or kronos_forecast.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool or alternatives. The description does not mention use cases, prerequisites, or comparisons with related tools, leaving the agent to infer applicability.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose an important trait: the tool costs $0.001 USDC via x402, indicating a paid operation. However, it does not mention network requests, required permissions, error conditions, or output format. This is minimal coverage for a tool with no annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, using two short sentences to convey the function, category, and pricing. It is front-loaded and contains no fluff. While it could be more informative, the size is appropriate for the minimal content it presents.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is incomplete for a tool that requires payment and likely a URL parameter. It lacks information about required inputs (e.g., URL), expected output, failure modes, or why this tool should be preferred over similar siblings like scrape_meta_tags. The presence of pricing adds some context but does not compensate for the absence of usage and output details.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a generic 'params' object with the description 'Tool parameters as JSON object', and schema coverage is 100%. The description adds no parameter-specific information, so the baseline of 3 applies per the rubric when schema coverage is high. However, the generic schema does not convey that a URL is likely required, leaving a gap in parameter semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool's function with a specific verb+resource: 'get og metadata' (Open Graph metadata). It adds a context label 'Web & SEO tool', which clarifies its domain. However, it does not differentiate it from similar sibling tools like scrape_meta_tags or read_url, so it's clear but not fully distinguishing.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not mention that it should be used for reading Open Graph tags from a specific URL, nor does it reference any sibling tools or exclusions. The only added context is the cost, which is not usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of behavioral disclosure. It does add a useful behavioral trait: the cost of $0.001 USDC via x402, which informs the agent this is a paid operation. However, it omits other relevant behaviors such as output format, read-only status, or any potential rate limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences that are front-loaded with the core purpose ('list emojis') and an additional cost note. Every word earns its place, with no fluff or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool, the description is minimal but incomplete. There is no output schema, no annotation coverage, and the parameter semantics are opaque. The cost disclosure adds a little context, but the lack of return type or behavior details means the agent cannot fully anticipate the tool's response.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object described only as 'Tool parameters as JSON object', which provides no meaningful semantics. The description adds nothing about what parameters this tool accepts (e.g., category, limit, format), leaving the agent completely in the dark about possible options.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'list emojis' which is a specific verb+resource, clearly indicating the tool lists emoji characters. It distinguishes from sibling list tools like list_countries and list_currencies by the unique resource. However, it lacks details on scope (e.g., all Unicode emojis, filtered categories) which prevents a top score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description only mentions the cost, but does not state criteria for selection, exclusions, or any specific use cases beyond the literal function.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses a cost of $0.001 USDC via x402, which is useful, but it does not mention return format, whether the list is sorted, paginated, or cached, or any access requirements beyond payment.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence that conveys the core action and cost. It is concise and easy to read, though the 'Data & Weather tool' fragment is somewhat unrelated to languages and could be considered filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema and no annotations, the description is too minimal. It does not clarify what kind of languages are listed, what the response looks like, or whether any optional parameters (e.g., language code filter) exist. The cost disclosure is helpful but insufficient for an agent to confidently invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with 100% schema coverage, but this provides no meaningful parameter details. The description adds no parameter information, and the tool likely requires no specific arguments. Baseline 3 applies because the schema technically describes the only parameter, yet it is a hollow envelope.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'list languages,' which is a specific verb+resource combination that clearly identifies the tool's action. It distinguishes from sibling tools like list_countries and list_currencies by the resource 'languages,' though it doesn't specify whether these are spoken, programming, or platform languages.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. The 'Data & Weather tool' label is a category tag, not a usage guideline, and does not explain scenarios where list_languages is preferred over sibling list tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It discloses a key behavioral trait: 'Costs $0.001 USDC via x402,' indicating a payment requirement via x402. However, it does not mention whether the operation is read-only, has side effects, or any other behavioral details, leaving gaps for a calculator tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences: 'sleep calc — Health & Fitness tool' and 'Costs $0.001 USDC via x402.' Both are purposeful and concise, with no wasted words. It is front-loaded with the tool's identity and then cost information, making it easy to scan.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the generic input schema, no output schema, and no annotations, the description provides insufficient context for an agent to invoke the tool correctly. It does not specify what sleep-related calculation is performed, what inputs are required, or what output to expect, making it incomplete for a tool that likely needs domain-specific parameters.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single 'params' object with a generic description 'Tool parameters as JSON object,' achieving 100% schema coverage. The description adds no further meaning about expected parameters (e.g., age, sleep duration), but the baseline of 3 applies due to high schema coverage, and the tool name gives a hint that sleep-related inputs are likely.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description says 'sleep calc — Health & Fitness tool,' which indicates it is a sleep-related calculator and places it in the Health & Fitness domain, distinguishing it from other calculator siblings. However, it lacks a specific verb or detail on what exactly it calculates (e.g., sleep cycles, sleep need, wake-up times), making the purpose somewhat vague.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the many other health/fitness calculators (e.g., calculate_bmi, tdee_calc, sleep-related alternatives if any). The description only states cost and category, providing no usage context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It discloses the cost ($0.001 USDC), which is a useful behavioral trait, but does not mention side effects, auth requirements, safety profile, or what happens on invalid input. The tool appears read-only, but this is not stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise and well-structured: two short sentences, one stating the tool identity and the other stating the cost. No unnecessary wording. It loses a point because it is under-specified, but that's more relevant to completeness than conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple calculator tool, this description is incomplete. It does not explain how to invoke it, what parameters to pass, what the output looks like, or any constraints. With no annotations and no output schema, the agent is left without enough information to use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single generic 'params' object with a non-descriptive description, yet schema coverage is reported as 100%. Per rubric baseline, the description is not obligated to detail parameters, but it does not add any semantics either. The description doesn't mention what inputs the tip calculator expects, so it offers no value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the tool as a tip calculator, which is specific and self-explanatory. However, it lacks a verb phrase and does not explicitly distinguish itself from other calculator tools beyond the name, so it falls short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, no context on typical use cases, and no exclusions. It only mentions the category and cost, leaving the agent without decision criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description mentions a cost of $0.001 USDC via x402, which is a useful behavioral trait not present in any annotations. However, there are no annotations, and the description does not disclose other important behaviors such as whether it requires a base color, what the output format is, or whether it makes any external calls. The cost info alone keeps it slightly above a bare minimum.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, consisting of two short sentences. It front-loads the tool name and purpose, then adds a cost note. Every word earns its place; there is no redundancy or irrelevant detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, no annotations, and a generic input schema. The description is too sparse to be complete for an agent to correctly invoke it: it does not explain required parameters, expected return format, or how it differs from similar tools. Given the complexity of generating a color palette, this description falls short.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only provides a generic 'params' object with no specific parameters described, and the description does not mention any parameters at all. While the schema's single property has a description ('Tool parameters as JSON object'), it is generic and unhelpful. Since the description fails to compensate for this lack of detail, the agent has no idea what keys to pass (e.g., base color, number of colors).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool generates a color palette, with the verb 'generate' and resource 'color palette'. It also adds a category label 'Colors & Design tool'. However, it doesn't differentiate from sibling color tools like color_harmony or random_color, nor does it specify the nature of the palette (e.g., based on a base color, random).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There are many color-related sibling tools (e.g., color_harmony, color_mix, random_color), but the description does not mention any criteria for choosing this one. It simply names the tool and gives a general category.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It does disclose the payment cost ($0.001 USDC via x402) and categorizes the tool, which adds useful context. However, it omits return shape, optional parameters, pagination, or any side effects, limiting transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, with no filler words. The cost and category are useful, though the brevity borders on under-specification rather than disciplined conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is relatively simple, and the name conveys the primary function, but the lack of an output schema and the opaque generic parameter object leave significant gaps about the return data and invocation parameters. The cost disclosure helps but is not enough for confident use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The only parameter is a generic 'params' object with the unhelpful description 'Tool parameters as JSON object'. The tool description adds no parameter details, so an agent cannot know what filters, fields, or options are acceptable.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('list') and the resource ('countries'), which distinguishes it from sibling list_* tools like list_currencies and list_languages. However, it provides no details about the output format or what country attributes are returned.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives. The 'Data & Weather tool' category is too broad and does not help an agent choose among the many sibling tools, nor does it mention exclusions or alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Since no annotations are provided, the description carries the burden of behavioral disclosure. It does mention the cost of $0.001 USDC via x402, which is a notable behavioral trait. However, it does not disclose whether the operation is stateless, any input limits, error behavior, or data handling, leaving significant gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence that states the purpose and cost without wasted words. It is concise and well-structured for quick comprehension.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the generic schema, lack of output schema, and no annotations, the description is insufficient for an agent to invoke the tool correctly. It fails to specify input format, configuration options, or expected output, making it incomplete for practical use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains only a generic 'params' object with no meaningful description, and the tool description does not clarify what parameters are expected. The agent cannot determine the input format (CSV content, file path, URL) or any options, so parameter semantics are effectively undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool converts CSV to JSON, using a specific verb and resource pair. This directly distinguishes it from the sibling tool convert_json_to_csv, which performs the reverse operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not mention the reverse conversion tool or any contextual usage directives, leaving the agent without exclusions or alternative recommendations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It discloses the cost and payment method via x402, but fails to mention the random outcome (heads/tails), return format, or any side effects. This is a significant gap for a tool that produces an unpredictable result.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, consisting of a single line with no redundant words. Every piece of information ('flip coin', 'Other Utilities tool', cost) earns its place, even if the category label is generic. It is appropriately sized for a trivial tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description provides the cost and payment context, which is useful, but it does not explain what the tool returns (e.g., heads/tails) or any usage examples. Since there is no output schema, the description should clarify the result format. It is adequate for a simple tool but has clear gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only includes a generic 'params' object with no specific parameters. Since there are effectively zero parameters, the baseline is 4, and the description does not need to explain parameter semantics. The absence of parameter details is not a deficiency here.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('flip coin') and resource, which is obvious and specific. However, it doesn't provide additional differentiation from sibling tools, and 'Other Utilities tool' is a vague category rather than a functional description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives, or any context for appropriate usage. The only additional information is the cost, which does not help the agent decide when to invoke it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose the cost and payment method via x402, which is a useful behavioral trait. However, it does not mention any side effects, permissions, rate limits, or output behavior. The tool likely generates an image, but the description does not confirm this, leaving significant behavioral aspects undisclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, using a single sentence with three short segments: the tool name, category, and cost. It front-loads the core purpose and includes the critical cost information in a compact, scannable format. Every word earns its place with no unnecessary fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given that QR code generation can involve many parameters (content, size, format, error correction, etc.) and there is no output schema, the description is far from complete. It does not explain what parameters to provide, what the output looks like, or any operational context beyond the cost. The minimal description leaves the agent with insufficient information to invoke the tool effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has a single 'params' object with a generic description ('Tool parameters as JSON object') and 100% schema description coverage, so the baseline is 3. The description adds no parameter-level semantics, leaving the agent to guess what fields (e.g., content, size, format) belong inside the params object. The combination of schema and description fails to convey the actual parameters needed, but the baseline applies due to high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function with a specific verb and resource: 'generate qr code'. It is easily distinguishable from all sibling tools, as no other tool in the list handles QR code generation. The purpose is unambiguous and immediately actionable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives or any prerequisites. It only mentions 'Generators tool' and the cost, but does not explain under what circumstances to choose this over other generators or what input is required. No exclusions or alternative tool references are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must carry the full burden. It discloses the cost ($0.001 USDC via x402) but fails to mention input format (e.g., with/without #), output format, or any error behavior. The description adds minimal behavioral context beyond what the name implies.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded with the tool's purpose. The cost information is a useful addition. It is appropriately sized, though it could benefit from a bit more specificity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite the tool's simplicity, the description lacks essential context: no input key specification, no output format, and no return value explanation (no output schema exists). The cost disclosure is helpful but does not compensate for the missing operational details.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% (the single 'params' property has a description), but that description is generic ('Tool parameters as JSON object') and unhelpful. The tool description does not explain the expected keys inside params. Per the high-coverage baseline, score 3, but the actual parameter semantics are not clarified.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool performs hex to CMYK conversion, with 'Colors & Design tool' reinforcing its domain. It unambiguously differentiates from sibling color conversion tools like hex_to_hsl or cmyk_to_hex.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The usage is implied by the tool name (converting hex color to CMYK), but the description provides no explicit when-to-use guidance or alternatives. No exclusions or comparison to sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that the tool costs $0.001 USDC via x402, a meaningful behavioral trait. No annotations are present, so this cost disclosure adds transparency beyond the basic purpose.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, compact sentence. It leads with the tool's purpose, then category, then cost, with no filler or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers purpose and cost, but lacks parameter details and output format. However, the tool requires no mandatory parameters, so it is minimally usable with no arguments. The absence of output schema and empty params schema make it incomplete for richer use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema only contains a generic 'params' object with no defined properties. The description does not mention any specific parameters (e.g., number of paragraphs, format), leaving the agent without guidance on what inputs to provide or accept.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the verb 'generate' and the resource 'lorem ipsum', clearly identifying the tool's function. This distinguishes it from sibling generator tools like generate_password or generate_uuid.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus other generator tools. It only labels it as 'Generators tool', which is a category, not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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