quartermaster

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description mentions cost ($0.001), which is a behavioral trait, but does not disclose other aspects like side effects, error behavior, or whether it is read-only. 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short (one sentence plus cost note) with no unnecessary words. It is efficient and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description does not explain output format, error handling, or what happens when op is omitted. For a two-parameter tool with no output schema, more detail is needed for complete understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has no descriptions (0% coverage) for the two parameters. The description implies data is a string and op selects encode/decode, but does not explain the enum values, optionality of op, or default behavior. This is minimal added value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: Base64 encode or decode a string. The verb 'encode or decode' and resource 'string' are specific, and there are no sibling tools with similar names.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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, when to encode vs. decode, or any prerequisites. The description does not include 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.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description fully discloses the read-only nature, the flagging of unlimited approvals, and the cost ($0.001). It does not specify the return format or behavior when optional parameters are omitted, but it is otherwise transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences, front-loading the core purpose. It could be improved by including parameter explanations without adding much length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simplicity of the tool (3 parameters, no output schema), the description is adequate but incomplete. It lacks explanation of the output format and the significance of the optional token parameter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain the meaning of owner, token, or spender. It adds no value beyond the parameter names. The optionality of token is not mentioned.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool checks an ERC-20 spending allowance on Base and flags unlimited approvals. It uses a specific verb and resource, distinguishing it from sibling tools like base_contract or base_token_info.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for checking allowances and detecting unlimited approvals, but it does not provide when-not-to-use guidance or mention alternatives among sibling tools. The cost mention adds context but no exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full responsibility. It discloses the cost ($0.001) which is a behavioral trait. However, it lacks details about potential errors, network calls, or output behavior, leaving some 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence front-loaded with the primary action, followed by the cost. Every word earns its place; no extraneous content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

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, the description covers the core purpose and cost but omits expected output format (e.g., returns 'contract' or 'eoa'). The absence of output schema makes this gap notable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must add parameter context. It does not specify the address format, example, or constraints beyond the schema's type. The description adds no value to the parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool determines whether a Base address is a contract or EOA, using a specific verb and resource. It distinguishes itself from sibling tools like base_allowance or base_token_info which handle different aspects of Base addresses.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 versus alternatives. The cost mention ($0.001) is a constraint but not a usage guideline. No when-not or tool comparison is included.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, but the description transparently states it costs $0.001. It does not mention read-only nature, but this is implied by the info retrieval purpose.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely concise, two sentences, front-loaded with the purpose and cost. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with one parameter and no output schema, the description covers the essentials. Could mention return type briefly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description does not add meaning beyond the schema for the 'address' parameter; with 0% schema coverage, it should clarify expected format or examples.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly specifies the tool retrieves ERC-20 name, symbol, decimals, and total supply on Base, distinguishing it from siblings like token_price or base_allowance.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use when basic ERC-20 metadata is needed on Base but lacks explicit when-to-use or when-not-to-use guidance and does not mention alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Without annotations, the description carries the full burden. It discloses the cost ($0.002) and that it fetches recent transfers, but omits whether it's read-only, pagination behavior, or any side effects. This is minimal but not misleading.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise (one sentence), which is good, but it omits crucial details. It could be slightly expanded to include parameter hints without losing conciseness. Currently, it is underspecified rather than efficiently written.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given two parameters, no output schema, and no annotations, the description is incomplete. It does not explain the output format, pagination, or what 'recent' means. The tool is a data retrieval operation, and more context is needed for proper selection.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must explain parameters. It only implicitly references 'address' via 'for an address', and completely ignores the 'limit' parameter. No format or constraints are provided for either parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it returns recent USDC transfers for an address on Base, specifying direction (in and out). The verb 'transfers' is slightly vague but sufficient, and the tool is distinct from siblings like usdc_normalize.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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. Sibling tools include unrelated ones, but no exclusions or context are provided. The description does not help the agent decide if this is the right tool for a given request.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 that the tool uses AI, costs $0.002, and validates results back into the user's label set. This provides useful behavioral context beyond the structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences long with no wasted words. It efficiently communicates the tool's purpose, outcome, and cost.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

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 moderate complexity, the description covers key aspects: zero-shot classification, validation, routing use case, and cost. Could be more explicit about validation meaning, but overall meets needs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50% (only 'labels' has a description). The tool description mentions 'caller-supplied labels' but does not add further detail about the 'text' parameter or clarify constraints like format or maximum length beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (zero-shot classification) and the resource (text into caller-supplied labels). It differentiates from siblings like moderate_text and embed_text by specifying the classification use case and validation into a label set for routing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for routing decisions ('so you can route on it') and mentions cost as a consideration, but does not explicitly state when to use or not use this tool versus alternatives like moderate_text or embed_text.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description must disclose behaviors. It states it's free and returns multiple time formats. However, it does not mention rate limits, side effects, or response format, though these are less critical for a simple read-only tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence with no wasted words. Key details (FREE, formats, optional timezone) are front-loaded and efficiently conveyed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with one optional parameter and no output schema, the description covers all necessary information: what the tool does, the formats returned, and the optionality of the parameter. Complete for its complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% (one param tz described). Description adds value by stating tz is optional and providing an example (America/Chicago), which clarifies usage beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns current time in ISO, unix, UTC, and optional local time. It identifies the specific resource (time) and the action (get current). No sibling tool performs a similar function, so it stands out.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions 'FREE (no wallet needed)', which implies no prerequisites. It does not explicitly state when to use or not use, but the unique functionality makes context clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden. It discloses cost ($0.005) and that it works on public URLs, but omits behavioral traits like output format, error handling, rate limits, or auth requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at 9 words plus cost, front-loaded with 'AI vision'. Every part adds value with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite low complexity (2 params, no output schema), the description fails to explain the 'prompt' parameter or the output format, leaving significant gaps 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.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description must compensate. It clarifies 'url' as a public image URL, but does not mention the optional 'prompt' parameter, leaving its meaning unclear.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states 'describe a public image URL, including visible text', using a specific verb (describe) and resource (public image URL). This distinguishes it from sibling tools like summarize_url or classify_text, which handle text.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage by mentioning 'public image URL', but provides no explicit guidance on when to use this tool versus alternatives. No when-not or alternative names are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full responsibility. It discloses the protocol (DNS-over-HTTPS) and cost ($0.001), but omits other behavioral traits such as rate limits, response format, or error handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured sentence that front-loads the core purpose and includes the critical detail of cost. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with two parameters and no output schema, the description covers the basics (purpose, record types, cost, protocol) but lacks details on response format and usage constraints, leaving some gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description mentions record types (A, AAAA, etc.) which gives context for the 'type' parameter, but does not describe either parameter explicitly. Schema coverage is 0%, so the description adds only marginal value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Resolve DNS records') and the resource ('DNS records over DNS-over-HTTPS'), listing specific record types. It distinguishes from all sibling tools, which are unrelated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for DNS resolution but does not provide explicit guidance on when to use it versus alternatives. No exclusions 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.

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 non-obvious behavioral trait: monetary cost ($0.002). However, it does not describe any side effects, success/failure behavior, or response format beyond the vector dimension.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise with one sentence and a cost note. It is front-loaded with the purpose, but lacks structured details like bullet points. Every word earns its place, but it could be slightly more structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with one parameter and no output schema, the description provides basic context (purpose, dimension, cost) but does not cover output interpretation or error cases. It is adequate but not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%. The description does not explain the 'text' parameter beyond what is in the schema (string, maxLength 8000). It implicitly conveys that the parameter is the input text, but provides no additional semantics about formatting, encoding, or constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: generating 1024-dimensional text embeddings for semantic search and RAG. It includes a key specification (dimensionality) and cost, distinguishing it from sibling tools like classify_text or moderate_text.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions use cases (semantic search, RAG) but does not explicitly state when not to use this tool or provide alternatives like classify_text. The context is clear but lacks exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 ($0.005) and output format ('matching JSON out'), which adds value. However, it does not mention constraints like input size limits, timeout, or behavior when both url and text are provided.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no wasted words. It efficiently conveys the core purpose and a key behavioral detail (cost).

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with 3 parameters and no output schema, the description covers the essential purpose and cost. It lacks usage guidance among many siblings, but overall it is fairly complete given the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds some meaning by clarifying that url and text are alternatives, but schema parameter is only described in the schema itself (JSON string). With 33% schema coverage, the description partially compensates but does not fully detail each parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool performs structured extraction using a JSON Schema and either a URL or raw text, producing matching JSON output. It uses specific verbs and nouns, distinguishing it from siblings like classify_text or summarize_url.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool (for structured extraction of data from text or URLs), but does not explicitly state when to use it over alternatives or provide exclusions. Among many sibling tools, more guidance would be helpful.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses a cost of $0.001, which is a behavioral trait, but lacks details on rate limits, idempotency, or side effects. Without annotations, the description partially fulfills transparency but could be more comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence front-loads the purpose and cost, with no wasted words. Perfectly concise for a simple tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no parameters, no output schema, and simple functionality, the description covers the key aspects (purpose, cost). However, it could mention output format or data refresh rate for full completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist, so the description does not need to add parameter meaning. Baseline 4 applies as schema coverage is 100% and no param info is required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool provides current Base gas prices and a simple-transfer cost estimate, with a specific resource (Base) and verb (provides/estimates). It distinguishes itself from sibling tools like base_allowance or base_contract.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for getting gas prices but does not explicitly mention when to use or not use this tool versus alternatives like other Base-related tools. No exclusion or comparison provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations; description straightforwardly describes the action. Simple generation with no side effects, but could mention idempotency or safety.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely concise, front-loaded with key info, no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Simple tool with low complexity, description sufficient. Lacks return format but standard for UUID generation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage 100%, description repeats schema info ('up to 100'). No added meaning beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states verb 'generate', resource 'UUID v4 values', and constraint 'up to 100 at once'. Distinct from siblings like random_numbers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly mentions 'FREE (no wallet needed)', setting context for usage. Does not contrast with siblings but provides clear condition.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It correctly indicates the tool is a pure function (no side effects) and is free to use. The phrase 'hex digest' clarifies output format. It does not contradict annotations (none provided).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single well-structured sentence with no wasted words. The critical 'FREE (no wallet needed)' qualifier is front-loaded. Every phrase earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple hash function with two parameters and no output schema, the description covers key aspects: supported algorithms, input, free usage. It doesn't mention output length or edge cases, but these are standard expectations for a hash tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must explain parameters. It does: 'SHA-1/256/384/512' maps to the 'algo' enum, and 'of a string' explains 'data'. This adds meaning beyond the schema's bare type definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('hex digest' meaning compute hash) and resource ('a string'), listing all supported algorithms (SHA-1/256/384/512). It clearly distinguishes from sibling tools like base64 (encoding) or random_numbers (random generation).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions it is free and no wallet needed, implying low-barrier usage. However, it gives no guidance on when to use this tool over alternatives or which algorithm to choose, leaving the agent to infer from context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations, so description carries full burden. Describes all key behavioral outputs (status, latency, redirects, content-type, server). No mention of side effects, which is appropriate for a read-only check tool. Cost of $0.001 disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with zero waste. First sentence lists capabilities compactly, second sentence adds cost and usage guidance. Perfectly front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Simple tool with one parameter; description adequately covers output behavior (status, latency, redirects, etc.) despite lacking output schema. Could mention timeout behavior or error handling, but sufficient for typical use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter (url) with 0% schema description coverage. Description merely repeats 'URL' without adding format constraints (e.g., http/https required). Schema is minimal, description should compensate with more detail like length or protocol requirements.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool checks URL liveness/latency, lists returned data (HTTP status, latency, redirects, etc.). Differentiates from sibling web tools like unshorten_url or web_extract by focusing on pre-flight health check.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Use before relying on a dependency', providing clear usage context. Could mention alternatives but the pre-flight purpose is well understood. Cost info adds practical guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Discloses cost (behavioral trait) but no other limitations or side effects; no annotations to offset.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence front-loaded with verb and purpose, plus cost note. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Adequate for a simple tool: explains return content and cost, but could mention behavior for invalid input.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage; description adds 'HTTP status code' meaning but lacks details on valid ranges or handling of unknown codes.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it explains an HTTP status code, covering meaning, causes, fixes, and retry guidance. This distinguishes it from sibling http_errors_list which likely lists codes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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, or any preconditions or non-occurrences.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It discloses cost and no-wallet requirement, but lacks mention of rate limits or other traits. For a simple list tool, this is acceptable but minimal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, highly concise, front-loaded with key info (FREE, no wallet), no redundant words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter list tool, the description is fully complete: it states purpose, cost, and disambiguates from sibling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters present; schema coverage is 100% by default. The description adds no parameter info, which is acceptable as baseline for 0 params is 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists HTTP status codes, uses specific verb 'index', and explicitly distinguishes from sibling tool http_error_explain by noting it provides paid detailed explanations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides when to use the alternative (http_error_explain for detailed explanation) and notes it's free with no wallet needed, but does not elaborate on other usage scenarios, though the simplicity makes it adequate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Discloses that signature is NOT verified, which is critical behavioral information. Also notes the cost ($0.001). No annotations are present, so the description adequately covers key 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence that is perfectly sized for the tool's simplicity. Every word adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with one parameter and no output schema. The description covers purpose, limitation (no verification), and cost, but lacks explanation of the output format or return value.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description should compensate but only minimally implies the token is a JWT. No format or constraints are added beyond the schema's 'string' type.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states 'Decode a JWT header and payload', using a specific verb and resource. It distinguishes itself from sibling tools like base64 by focusing on JWT decoding.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for inspection when signature verification is not needed, but does not provide explicit when-to-use or alternatives. No exclusions or prerequisites are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided; description only mentions outputs but does not disclose rate limits, authentication needs, or behavior on unsafe content. 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, front-loaded with essential information (model, output, cost). No redundant words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite low complexity (single parameter), description is incomplete: lacks details on category codes, safe flag semantics, and differentiation from similar siblings like classify_text.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and description does not add any meaning to the 'text' parameter beyond its existence and max length. Fails to explain format, encoding, or constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states verb 'classify', resource 'text', method 'Llama Guard', outputs 'safe flag plus category codes', and cost. Specific and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 classify_text. Lacks any context on appropriateness or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description bears full responsibility for behavioral transparency. It fails to disclose side effects, prerequisites (e.g., valid URL), or failure modes, only listing output fields and cost.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence that includes essential information (cost). It is concise but could be better structured with bullet points or separators for readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the low parameter coverage, missing output schema, and many sibling tools, the description is minimal. It lists return fields but lacks error handling, prerequisites, or guidance, making it insufficient for complete understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not add parameter semantics. It states url is needed but omits format, constraints, or examples, failing to compensate for the missing schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves page metadata and lists specific types (title, description, Open Graph, canonical URL, favicon, language). This distinguishes it from sibling tools like web_extract or summarize_url.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions cost ($0.002) but provides no guidance on when to use this tool versus alternatives like web_extract or unshorten_url. Usage context is implied but not explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Reveals it costs $0.003, decodes USDC transfers, and returns a single verdict. No annotations provided, so description carries full burden. It doesn't mention potential errors or rate limits, but overall transparent about core behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences covering purpose, inputs, behavior, cost, and sibling differentiation. No wasted words; front-loaded with key info.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 3 parameters and no output schema, description explains inputs well but lacks detail on return value format (what is a 'verdict'?). Mentions optional assertions but doesn't describe failure behavior. Minor gap given complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 67% (hash and payTo have descriptions, amount does not). Description adds meaning for hash and payTo (chain-specific formats) but does not elaborate on amount beyond schema's type string. Compensates partially but not fully.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description specifies 'Verify an x402 settlement on Base OR Solana from a tx id', providing a specific verb and resource. It distinguishes from sibling tool settlement_assurance by contrasting 'yes/no verdict' vs 'full scored report'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Choose this when you only need the yes/no did-it-land answer; use settlement_assurance for the full scored report', giving clear when-to-use and when-not-to-use with a named alternative.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Discloses cost ($0.002) and implies read-only behavior. Without annotations, more detail on caching or rate limits would improve, but the cost disclosure adds value 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no filler. First sentence states core functionality and cost; second gives usage guidance. Highly efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Explains output contents despite no output schema. Could mention error cases, but for a simple receipt tool it's sufficiently complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 100% coverage with a good description. The tool description reiterates the input format but adds little extra meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool produces a 'Formatted settlement receipt' with specific contents: timestamp, decoded transfers, explorer link. It distinguishes input types for Base and Solana, making the purpose very specific.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly guides when to use this tool ('human-readable record') and contrasts with siblings payment_proof and settlement_assurance, providing clear decision criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It discloses the cost ($0.001) and marks the tool as '[Dev]' indicating development status. It does not mention if it is read-only or any side effects, but for a query tool, the cost and dev note are valuable behavioral disclosures.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences with zero wasted words. The information is front-loaded: purpose, output, cost, usage hint. Well-structured for quick understanding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description adequately states return values (holiday name, types, next upcoming). It covers core functionality for a simple query tool. Slightly lacking in error handling or edge cases, but sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50% (only date described as YYYY-MM-DD, defaulting to today). The description adds meaning: country must be 2-letter ISO code. This compensates for the missing schema description of country.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool checks if a date is a public holiday in a country, returning the holiday name, types, and next upcoming holiday. It specifies the country format (2-letter ISO code) and mentions cost. No ambiguity or tautology.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description says 'Useful for scheduling' but does not provide explicit when-to-use or when-not-to-use guidance. Since there are no sibling holiday tools, no alternatives are needed, but the guidance is minimal.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description must carry burden. It discloses cost ($0.002) but lacks information about required permissions, error behavior, data validation, or side effects. Minimal disclosure 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is a single, front-loaded sentence that efficiently conveys core purpose and a key behavioral aspect (cost). However, it could be slightly more structured to include parameter summaries.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

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 three parameters with enums, the description is insufficient. It omits explanations of ecc options, expected data format, and return value structure. Not complete for effective tool use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description should explain parameters. It only hints at 'data' (implicit) and 'format=text' but does not explain 'ecc' enum values or that 'data' must be a string up to 2048 chars. Parameters are poorly described.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool generates a QR code and specifies output formats (SVG or terminal text). It distinguishes itself from sibling tools by being the only QR-related tool, and [Web] prefix clarifies platform context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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, no prerequisites, and no mention of use cases. Only a brief mention of format options is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description mentions 'Free:' implying no cost, but does not disclose other behavioral traits such as whether the tool is read-only, requires authentication, or has any side effects. With no annotations, the description carries 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no wasted words. However, it is somewhat vague and could include more detail without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

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 provides minimal context: only that it returns catalog, prices, and payment instructions. It does not specify the format, structure, or any prerequisites. For a simple info tool, this may be barely adequate but lacks completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and schema coverage is 100%. The description adds value by explaining the output content (catalog, prices, payment instructions), which compensates for the lack of parameters. The description does not repeat schema information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool provides 'catalog, prices, and payment instructions' for 'this server,' identifying the resource and output type. However, it does not specify what 'this server' refers to, and the purpose is not fully distinct from sibling tools like 'payment_proof' or 'base_allowance'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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. With many sibling tools related to payments and server info, the description lacks explicit conditions such as when to prefer this over 'payment_proof' or 'base_allowance'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 cryptographic security (CSPRNG), unbiasedness, and cost ($0.001), which are useful. However, it does not mention error handling (e.g., if min > max), any limits on parameter ranges or count, or side effects. The safety profile is partially covered but lacks detail.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that efficiently conveys the core purpose, security properties, and cost. It is front-loaded with the main function and avoids redundant or extraneous information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (no output schema, 3 integer params with no descriptions), the description should cover default behaviors (e.g., if min is omitted, or if range is inclusive) and output format (likely an array). It fails to mention these, leaving significant gaps for an agent to understand usage fully.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain the parameters. It mentions 'range' but does not connect it to 'min' and 'max', nor describe 'count' as the number of integers. An agent cannot infer the role of each parameter from the description alone, severely hindering correct invocation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it provides 'cryptographically-secure random integers in a range', specifying a unique verb-resource pair. It distinguishes itself from standard LLM randomness by noting 'real entropy an LLM cannot produce itself'. Among siblings, it is distinct from 'random_pick' which picks from a list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when unbiased randomness is needed ('real entropy an LLM cannot produce itself') but does not provide explicit guidance on when to use this tool versus alternatives, such as 'random_pick', or when not to use it. No exclusions or contextual triggers are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden. It discloses CSPRNG usage and cost ($0.001), which are important behavioral details. It doesn't cover error handling, but for a simple tool it is adequate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, front-loaded with the primary action, and contains no unnecessary words. It earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

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 limited parameter descriptions, the description provides enough context to use it correctly. It explains the key behavior (random pick, with/without replacement) and cost, but doesn't specify return format or limits.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 33% (only 'options' has a description). The description adds context that options are caller-supplied and explains the random picking behavior, partially compensating. It implicitly relates 'unique' to without replacement but could be clearer.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Pick' and the resource 'options from a list', specifies random selection with CSPRNG and the option for without replacement, distinguishing it from siblings like random_numbers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions 'optionally without replacement' implying usage scenarios, but lacks explicit guidance on when not to use or alternatives. It could be more specific about the count parameter.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 determinism and cost ($0.001), which is helpful, but does not explicitly state whether the tool is read-only or has any side effects. The return format is described, but additional traits like error handling or limits are omitted.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences long, front-loaded with the core purpose, followed by behavioral traits. Every word serves a purpose—no fluff or repetition. The structure is optimal for quick understanding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

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 covers main aspects: purpose, return format, side effects (determinism), and cost. However, it lacks details on edge cases (e.g., no matches, invalid pattern), error messages, and output structure. The absence of an output schema increases the need for such details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, and the description does not elaborate on parameter meanings, constraints, or relationships. While 'pattern' and 'text' are self-explanatory, 'flags' is not described, and no guidance is given on format or validation beyond schema types.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: testing a regular expression against text and returning matches with capture groups. The verb 'Test' and the resource 'regex against text' are specific, and the tool distinguishes itself from siblings by its precise function.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for testing regex patterns but does not provide explicit guidance on when to use this tool versus alternatives (e.g., classify_text, extract_structured). No when-not or exclusions are mentioned, but the context is clear enough for a basic developer tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Discloses cost ($0.001), which is helpful. No annotations, so description should cover failure behavior and output format. It does not state what happens if the name is invalid 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no fluff. Front-loaded with the main action and key details (domain, network, cost). Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Adequately covers purpose and cost for a simple one-parameter tool without output schema. Could mention error handling, but not essential given the straightforward operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Single parameter 'name' has 0% schema coverage, but the description clarifies it is the Basename to resolve. Does not specify required format (with or without .base.eth), but overall meaning is clear from context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states the tool resolves a Basename (.base.eth) to a wallet address on Base. Verb 'resolve' and resource 'Basename' are specific, and the domain suffix and network are provided, distinguishing it from sibling tools like base_contract or base_token_info.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implied usage: use when you have a Basename and need the corresponding wallet address. No explicit alternatives or exclusions, but given the simple purpose, it's clear enough. Missing guidance on invalid names.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so the description carries the full burden. It discloses that it checks onchain success, USDC transfer match, receipt, optional audit, returns a 0-100 scored report with verdict, and costs $0.03. However, it does not detail the exact response structure or error handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that packs substantial detail, including purpose, alternatives, cost, and output. While dense, it remains clear and front-loaded with key information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (multiple checks, scoring, cost) and lack of output schema, the description covers the main aspects well. It does not specify the exact format of the report, but provides sufficient context for selection.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50% and the description adds some context for hash (0x vs base58) and payTo (expected recipient), but amount and resource are left to schema descriptions. The description does not significantly enhance parameter understanding beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool proves a completed x402 payment is real and sound, covering onchain success, USDC transfer match, receipt, and optional endpoint audit, with a scored report. It distinguishes from sibling tools like payment_proof, tx_status, and x402_audit by specifying when to use each.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells when to use this tool versus alternatives: 'use payment_proof if you only need a plain pass/fail, tx_status for raw status, or x402_audit to grade a seller endpoint by URL'. Also positions itself as the 'most complete post-payment check'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It discloses cost ($0.01) and process steps, but lacks info on error handling, rate limits, response format, or behavior for large pages. Adequate 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence packs essential info: purpose, process, parameter hint, cost. No fluff, front-loaded with the main action. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 2 params, no output schema, and no annotations, the description is too minimal. It omits output format, error cases, privacy implications, and does not compensate for lack of structured metadata.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% with no parameter descriptions. Description partially compensates by mentioning the 'length' enum values (short|medium|long) but does not explain the url parameter beyond 'public webpage'. Meaningful detail is insufficient.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description explicitly states the tool's purpose: 'AI summary of a public webpage (fetch + extract + summarize)' with clear verb and resource. It distinguishes from siblings like tldr_text (text input) and web_extract (no summarization) by specifying the full pipeline.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use vs alternatives. While it implies for web page summaries, it does not mention when not to use (e.g., for non-public pages, or when text direct input is preferred). No exclusions or sibling comparisons.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description bears full responsibility. It mentions it is a diff and costs money, but does not disclose whether it is read-only, destructive, or other behavioral traits. 'Compact' is vague.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise, a single sentence that includes the key purpose and cost. However, the '[Dev]' prefix adds no value and could be removed. It is front-loaded with purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple 2-parameter tool with no output schema, the description is somewhat complete. It lacks details on output format, limitations (line-level, text only), and cost implications. Adequate but not thorough.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It only refers to 'two texts' without explaining that 'before' and 'after' correspond to original and modified texts. Parameter names are self-explanatory, but the description adds no extra meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states 'Compact line-level diff between two texts', clearly identifying it as a diff tool for texts at line level. It distinguishes from other text tools like text_stats or tldr_text which have different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 text_stats or any other diff methods. The cost mention is a usage constraint but does not help in selecting between tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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, which is a key behavioral trait. However, it does not mention other traits like rate limits, handling of empty strings, or concurrency. The [Dev] prefix suggests a development context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise, using one sentence to communicate purpose and cost. It is front-loaded with the most critical information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (one parameter, no output schema), the description covers the basic purpose and cost. However, it lacks detail on output format (e.g., JSON structure), supported languages, or error handling, which could help the agent interpret results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has one parameter (text) with 0% description coverage. The description adds meaning by stating the tool computes counts and scores for the text, clarifying what the parameter represents beyond its name.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the tool provides word/sentence counts, reading time, and readability score for text. This clearly identifies the verb-resource and distinguishes it from sibling tools like classify_text or translate_text.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 description mentions a cost constraint but lacks context about prerequisites, limitations, or 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.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It discloses the cost ($0.005) and input format (raw text, not URL). Does not mention rate limits or auth, but for a simple summarization tool, this is adequate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is one sentence with two brief appended notes. No wasted words; front-loads the core purpose and key details efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (2 params, no output schema), the description covers purpose, usage, cost, and sibling alternative. Leaves no obvious gaps 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.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so description should compensate. It adds meaning for 'text' by clarifying it's raw text passed directly, and for 'length' it restates the enum. Minimal additional value beyond schema, but parameters are self-explanatory.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it summarizes raw text passed directly, with verb 'Summarize' and resource 'raw text'. Also distinguishes from sibling summarize_url by specifying 'not a URL'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells when to use (raw text) and when not to (use summarize_url for URLs). Also explains the length parameter options: short|medium|long. Provides 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.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Description discloses a cost of $0.001, which is a behavioral trait, but lacks other details like rate limits or error handling. No annotations are present, so the description carries the full burden.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with no wasted words; includes a tag and cost information efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple price query tool with one parameter and no output schema, the description covers input format and cost. It could mention the return format (e.g., numeric price) but is largely complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description adds meaning to the 'token' parameter by stating it accepts both symbol and address, compensating for the schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it returns USD price for tokens, specifying it works for major tokens by symbol or any Base ERC-20 by address, distinguishing it from sibling tools like base_token_info.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied but no explicit guidance on when to use this tool versus alternatives like base_token_info or other token-related tools; no when-not-to-use instructions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided; description only mentions cost and auto-detection, lacking details on authentication, failure modes, or response behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence is efficient, front-loaded with key info, no wasted words; slightly lacking structure but acceptable for simple tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Provides purpose and cost, but lacks response format, error handling, or rate limits; adequate for a simple 2-param tool but not fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, description clarifies 'to' as target language and indicates source is auto-detected, but does not specify language format (e.g., ISO code). Partially compensates.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it is an AI translation tool with source auto-detection, differentiating it from siblings like classify_text or text_stats.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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; only implicit cost signal.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Discloses cost ($0.003), specific functions it recognizes, and that it formats USDC amounts. No annotations provided, so the description fully covers behavioral aspects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences efficiently cover purpose, specific capabilities, and usage guidance. Front-loaded with core verb and resource.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description adequately describes what the output reveals (function, arguments) and mentions specific functions and cost. Complete for a single-parameter decode tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The sole parameter 'hash' is implicitly explained as the transaction hash by the context 'decode a Base transaction's calldata', but the description does not explicitly describe it, and schema coverage is 0%.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description precisely states it decodes a Base transaction's calldata into the function and arguments, listing specific recognized functions like ERC-20 transfer/approve and EIP-3009. It clearly distinguishes from sibling tools like tx_status.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly advises using tx_status for pass/fail and this tool to see what a transaction did. Also notifies of a $0.003 cost, setting clear expectations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Discloses cost ($0.002) and implies read-only behavior via 'Check'. With no annotations, the description adequately covers key behavioral traits, though it could mention rate limits or auth requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences, front-loaded with category, verb, and resource. No unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with one parameter and no output schema, the description fully covers purpose, output, cost, and alternatives. No gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% as no description for the 'hash' parameter. However, the description contextually ties the hash parameter to the transaction, making its meaning clear without explicit elaboration.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool checks a Base transaction and lists specific outputs (success/reverted/pending, confirmations, gas, explorer link). It also distinguishes from sibling tools payment_receipt and settlement_assurance.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly advises when to use this tool ('quick raw status') and when to use alternatives ('use payment_receipt for decoded transfers, or settlement_assurance to PROVE an x402 payment'), providing clear usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description discloses key behaviors: follows the full redirect chain, SSRF-validates each hop, costs $0.002, and is safe for untrusted links. It does not mention failure modes, rate limits, or output format details, but covers the main 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with front-loaded purpose and concise details. Every word adds value—no redundancy. The structure is optimal for quick comprehension.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple tool (one parameter, no output schema), the description covers core functionality, safety, and cost. However, it does not specify the return structure (e.g., array of hops with URLs), which an agent would need to handle the output. Adequate but not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter ('url') with 0% schema description coverage. The description implies its purpose ('Expand a shortened/redirecting URL') but provides no format, constraints, or examples. This does not sufficiently compensate for the missing schema documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Expand a shortened/redirecting URL: follow the redirect chain and return every hop plus the final destination.' The verb 'expand' and resource 'shortened/redirecting URL' are specific, and the tool's uniqueness (handling redirects) distinguishes it from siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description notes it is a 'Safe way to see where an untrusted link goes,' indicating usage context. However, it does not explicitly state when not to use or mention alternatives like 'web_extract' or 'page_meta,' which could be considered for non-redirect URLs.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Description includes the cost ($0.001), a behavioral trait not in annotations (none provided). However, it omits other potential side effects or safety information. Since annotations are absent, the cost is a valuable addition, but more detail would be ideal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence that captures the core functionality and a critical behavioral detail (cost). No fluff, front-loaded verb, and resource. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

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 zero parameter explanation, the description leaves significant gaps. An agent would not understand how to use the direction or decimals parameters correctly, nor what the return value looks like.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds no meaning beyond the input schema. Schema coverage is 0%, and the description does not explain the purpose of the three parameters (amount, decimals, direction). Without this, an agent must rely solely on parameter names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool converts USDC amounts between atomic and decimal units, with a specific verb and resource. It distinguishes from siblings by focusing solely on USDC conversion, which no other sibling tool addresses directly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. No mention of prerequisites or context. The description only states functionality without providing usage criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, description carries full burden. It discloses cost and blockchain (Base) but omits authentication requirements, rate limits, error handling, or what happens with invalid addresses. The phrase 'or any ERC-20' is vague regarding token specification.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely concise single sentence with no wasted words. However, it could be slightly more structured (e.g., separating purpose and cost) but readability is good.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Lacks output schema, so description should hint at return format. It does not. For a simple balance check, description covers core function and cost but omits error scenarios and response structure. Adequate but incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description must add value. It explains 'address' parameter context (on Base) and that 'token' can be ETH, USDC, or any ERC-20. However, it does not specify how to input token (symbol vs address) or default behavior if token is omitted.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it retrieves ETH and USDC (or any ERC-20) balance for an address on Base, distinguishing it from sibling tools like base_allowance or base_token_info. The specific verb 'balance' and resource 'address on Base' make the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool vs alternatives. It only mentions cost ($0.001) but does not specify scenarios where sibling tools like base_allowance or base_contract 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.

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 ($0.005 via x402) and the public-only constraint. However, it does not mention error handling, rate limits, or behavior for dynamic/large pages, leaving gaps in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: one sentence plus a brief cost note. All information is front-loaded, and there is no redundant verbiage.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

While the description states the output is 'structured JSON', it does not detail the expected fields (e.g., title, text, metadata). Given the lack of an output schema, this omission may hinder an agent's ability to use the tool effectively. However, the tool is simple with only one parameter, so it is somewhat adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% (the single parameter 'url' has a description). The tool description adds no additional meaning beyond the schema's 'Public webpage URL'. Baseline score of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Extract') and resource ('public webpage') and clearly states the output format ('structured JSON'). It distinguishes from siblings like 'page_meta' (metadata only) and 'summarize_url' (summarization) by including both text and metadata extraction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions the cost and the public nature of the webpage, but provides no explicit guidance on when to use this tool versus alternatives (e.g., 'summarize_url', 'page_meta'). No exclusions or when-not-to-use are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden. It discloses that the tool costs $0.01, returns a 0-100 score, checks with evidence, and provides recommended fixes. However, it does not explicitly state whether it is read-only or if any state changes occur (though audit implies read-only). Missing details on authorization or rate limits are acceptable given the context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one well-structured paragraph. It front-loads the core action ('full scored audit'), then lists verified aspects, return value, cost, and usage guidance. Every sentence adds value with no redundancy, making it efficient for an AI agent to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has only one parameter, no output schema, and no nested objects, the description is fully adequate. It covers purpose, inputs, outputs (score, evidence, fixes), cost, and alternative usage. No additional context is needed for an agent to correctly invoke it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% (the only parameter 'url' has a description 'x402 paid endpoint to audit'). The tool description reiterates 'SELLER endpoint (a URL)' and 'x402 paid endpoint to audit' but adds no new meaning beyond the schema. Per guidelines, baseline is 3 when coverage is high, and the description does not significantly enhance parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool performs a 'full scored audit of an x402 SELLER endpoint (a URL)' and lists the verification areas (402 challenge, payment fields, Bazaar discovery metadata, origin's discovery surfaces). It also distinguishes from the 'settlement_assistance' sibling, helping differentiate use cases.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly recommends using this tool 'to grade an endpoint before trusting/publishing it' and directs users to 'settlement_assurance instead when you already have a transaction hash'. This provides clear when-to-use and when-not-to-use guidance with an alternative sibling.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 mentions a cost of $0.001, which is helpful, but fails to indicate whether the tool is read-only, destructive, or requires authentication. This leaves important behavioral traits untold.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that front-loads the tool identifier and action, with cost appended. Every word contributes meaning, and there is no unnecessary verbosity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (2 parameters, no output schema), the description covers the core function and cost. However, it lacks details on return format, pagination, or default limit behavior, leaving some gaps for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate. It adds meaning for the 'query' parameter ('by natural-language query') but does not describe the 'limit' parameter or its behavior. Some value is added, but not fully compensating.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's action ('Search') and resource ('Coinbase x402 Bazaar'), specifies it searches for 'paid resources' using 'natural-language query', and includes cost information. This distinguishes it from siblings like x402_audit or x402_inspect.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for natural-language search of paid resources but provides no explicit guidance on when to use this tool versus alternatives like x402_merchant or x402_router, nor does it mention exclusion criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description discloses the cost and primary actions (decode, lint, flag). It does not detail side effects or whether the operation is read-only, but it is sufficiently transparent for the tool's purpose.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no wasted words. Front-loaded with the core action, followed by a concise comparison to the sibling tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter tool with no output schema or annotations, the description covers the essential: purpose, cost, and alternative. It omits output format, but that is not required given the simplicity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter 'url' is not described in the schema (0% coverage), but the description implicitly explains it is the endpoint to inspect. This adds meaning beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool inspects and lints x402 paid endpoints, decoding challenges, identifying networks/assets, and flagging misconfigurations. It also distinguishes itself from the sibling tool x402_audit by specifying a quick one-shot use case.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly provides when to use this tool versus the sibling x402_audit, stating 'choose this for a quick one-shot decode+lint; use x402_audit for a full 0-100 scored report.' Also mentions the cost of $0.002.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description mentions a cost of $0.001 but does not disclose other behavioral traits such as read-only nature, side effects, or pagination. Without annotations, more transparency is expected.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise, with a single sentence and cost note, front-loading the purpose. However, it could include a brief note on parameters without losing efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

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 return values, error conditions, or how to handle the limit parameter, which is critical for a paid tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, and the description only hints at payTo being a wallet identifier without explaining format or usage. The limit parameter is not described at all.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists x402 Bazaar resources under a merchant payTo wallet, specifying the verb, resource, and scope. It is distinct from sibling tools like x402_discover or x402_inspect.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 x402_discover or x402_inspect. The description lacks 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.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so description carries burden. It discloses cost ($0.03 USDC), that it selects a tool and returns the answer plus tool name. However, it does not mention potential side effects, failure modes, or that it may call external APIs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is relatively concise, providing key information in a few sentences with examples. Could be slightly more structured but overall effective.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of being a router over many sibling tools, the description covers purpose, usage, cost, and return format. It lacks details on error handling or rate limits but is sufficient 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.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema already covers the parameter q with 'Your goal in plain English' (100% coverage). Description adds semantic value by explaining that q is interpreted to route to an appropriate tool, going beyond the schema's basic description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool is a router for 'anything x402, Base chain, or web/AI', picking and running the correct underlying tool. This distinguishes it from sibling tools that are specific utilities.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells when to use ('Use this when you don't want to choose among the individual tools below') and positions it as 'START HERE'. Examples further clarify typical queries.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Discloses cost ($0.003) and behavior (decoding, reporting, verifying). No annotations provided, so description fully carries the burden. No contradictions, clear about what the 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with key action, zero waste. Every phrase adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 2 params, no output schema, and no nested objects, the description fully explains purpose, usage, cost, and provides sibling differentiation. No gaps identified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers both parameters fully (100% coverage). Description adds context about the 'address' parameter's role in Base affordability verification, going beyond schema descriptions. Minor improvement, hence 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb 'Pre-flight' with clear resource (payment endpoint) and actions (decode challenge, report costs, verify affordability). Distinguishes from sibling tool x402_inspect.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use ('before paying an unfamiliar endpoint') and when not to ('use x402_inspect to lint an endpoint you own'), providing a direct alternative.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 (e.g., read-only, no side effects). For a trivial zero-parameter tool, the lack of transparency is minor but still a gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no wasted words. It is front-loaded with the key purpose. Could be slightly more structured but fine.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no parameters and simple purpose, the description is adequate but lacks some completeness (e.g., what format the output is in, how to use the field explanations). Could be improved with minimal extra context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are no parameters, so the description adds nothing about parameters. Per guidelines with 0 params, baseline 4 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Free: example x402 payment-requirement objects with field explanations' clearly states the tool provides example objects and explanations. The verb 'Free' is ambiguous (free of cost? free-form?), but it distinguishes from sibling tools like x402_audit or x402_inspect.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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. With many sibling tools, the description should explicitly mention when to use this test vector tool, but it does not.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.