Africa/Addis_Ababa clock

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

With no annotations, the description carries the full behavioral disclosure burden. It does disclose that task text is discarded and lists outputs, but it does not state read-only status, side effects, auth/network requirements, or clarify what 'task text' maps to in the schema. The ambiguous 'Task text discarded' can confuse an agent because there is no task_text parameter.

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 three short sentences with no repetition or filler, and the main purpose is front-loaded. Each sentence adds a distinct piece of information: what it finds, what it returns, and the discard caveat.

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 9-parameter tool with no annotations, required parameters, or output schema, the description is too thin. It never explains why the heterogeneous parameters (city, feed, json, path, zone, query) are accepted, how they relate to finding the gateway, or what the return payload actually contains beyond labels. An agent cannot confidently decide which parameters to populate.

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?

All 9 parameters have descriptions in the schema, so the baseline is 3. The description adds no parameter-specific semantics; the only parameter-related phrase ('Task text discarded') does not correspond to any schema field and could be misread. No additional compensation is provided 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?

States a specific action ('Find a public pay-per-call tool gateway (Monid)') and enumerates returned artifacts (CLI setup, how-it-works, skill file, remote MCP hops), so it is not a tautology. It is somewhat opaque because 'Monid' and the exact nature of the gateway are unexplained, but the core function is identifiable.

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 when-to-use guidance, no criteria for choosing this tool over alternatives, and no exclusions or prerequisites. The only implied trigger is needing the Monid gateway, which is not enough to guide tool selection reliably.

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, but it only discloses that no browser is launched. It does not mention network requests, side effects, failure modes, or what happens with the various accepted parameters.

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: two short sentences, both informative. There is no redundant or filler 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?

The description is far too sparse for the tool's complexity: a nine-parameter schema, no output schema, and no annotations. It does not clarify which parameter is operative, what a successful check returns, or how it relates to the sibling URL/browser tools.

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?

Every parameter has a schema description, but most are irrelevant to the stated URL-checking purpose and several are described only as discarded or ignored. The primary url parameter is described as 'normalize or cite' rather than openability, so the schema does not reliably explain how parameters support the tool's purpose.

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 (check whether a URL can be opened) and adds a precise constraint (no browser launched). It does not explain what 'can be opened' means in terms of HTTP or rendering, so it is not fully 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?

There is no explicit guidance about when to use this tool instead of siblings like web-fetch, fetch-status, or playwright-url-ok. The only usage hint is the negative statement that no browser is launched, which is not enough to direct 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?

With no annotations, the description carries the full burden of behavioral disclosure. It offers only 'Expression discarded,' which is confusing rather than informative, and omits what the tool returns, side effects, or prerequisites. It also contradicts its own schema by referencing an expression input that does not exist.

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 definition is short, but the brevity here is under-specification, not conciseness. The second sentence repeats a confusing discard notion, and important information such as input mapping and return behavior is absent.

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?

A nine-parameter tool with no annotations and no output schema needs substantial behavioral and mapping context. The two-sentence description leaves an agent unable to form a correct call, making it critically 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?

Although schema description coverage is 100%, the tool description fails to connect 'a+b arithmetic' to any of the nine parameters. An agent cannot tell which parameter contains the expression, so the description actively undermines otherwise documented parameters.

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 names a concrete action ('Evaluate a+b style arithmetic'), but the input schema contains no expression parameter and instead lists nine unrelated strings like ref, url, city, and query. The phrase 'Expression discarded' further muddles what the tool actually computes, so an agent cannot determine what resource is operated on.

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 when-to-use or when-not-to-use guidance is provided. The description never names an alternative, states conditions, or references the many sibling tools, leaving the agent without any basis for choosing this tool over others.

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 of behavioral disclosure. It does add one useful privacy-related behavior: page content is not stored. However, it does not disclose whether the tool makes a network request, follows redirects, or imposes any limits, leaving important behavioral traits unexplained.

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: two sentences, with the core output front-loaded and no redundant wording. Every sentence contributes useful 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?

The tool has nine optional parameters, no output schema, no annotations, and many siblings, yet the description only addresses the URL aspect. It does not explain the role of the other parameters, how they are discarded, or what the tool returns beyond host, scheme, and HTTP status. This leaves significant ambiguity for an agent attempting to call it 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 100%, so the baseline is 3. The description does not add meaningful parameter semantics beyond the schema; it only mentions 'URL,' while the schema provides individual descriptions for all nine parameters. Some parameters appear unrelated to the core behavior, creating potential confusion that the description does not resolve.

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 states a specific verb and resource: it returns host, scheme, and HTTP status for a URL. It is clear about the core function, though it does not explicitly differentiate itself from similar sibling tools like fetch-status or normalize-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?

No guidance is given about when to use this tool versus alternatives such as fetch-status, browser-url-ok, or normalize-url. The only contextual hint is 'Page content is not stored,' which implies a lightweight check but provides no explicit when-to-use or when-not-to-use direction.

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 must convey behavior, but it only mentions that identifiers are not retained. It does not state whether the tool is read-only, what output it produces, or any side effects, failing to provide transparency about its runtime 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?

The description is short and structurally simple, but its brevity comes at the cost of clarity. It says too little to be useful, so while it is concise, it is not 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?

The tool is severely underspecified. There is no output schema, no error information, no examples, and no explanation of the classification logic. An agent would not be able to use this tool reliably based on the provided description.

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?

Although every parameter has a description, they are terse and generic (e.g., 'Git ref name; discarded after the shape check') and do not clarify how each parameter contributes to the classification result. The descriptions add minimal value beyond the schema and are not tied to a clear purpose.

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 'Show how this request is classified' is vague and does not specify what classification means or what the tool actually does. It does not differentiate from sibling tools like domain-shape or file-path-ok, and the tool name 'compatibility' is not reflected in the description.

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?

There is no guidance on when to use this tool versus the many similar sibling tools. No prerequisites or conditions for invocation are stated, leaving the agent without sufficient direction.

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 of behavioral disclosure. It reveals one behavioral trait—no WHOIS or ownership lookup—but says nothing about side effects, network access, error behavior, or what happens with the many other accepted inputs. For a tool with 9 optional parameters, this is insufficient transparency.

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

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

The description is a single front-loaded sentence with no filler, and the key qualifier 'without WHOIS or ownership data' is stated immediately. It is concise, though the brevity undersells the schema's complexity.

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?

This tool has 9 optional parameters, no required fields, no annotations, and no output schema, yet the description gives only a one-line hostname example. An agent is not told what to pass, what the return value looks like, or how to choose between domain-shape and the many sibling shape-checking tools.

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 already documents all 9 parameters with 100% coverage, including discard behavior and 'no disk access', so the baseline is met. The description adds only a hostname-related hint and does not clarify how the other parameters map to tool behavior, but the schema carries the semantic weight.

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 names a concrete operation—split a hostname into labels—and adds a useful qualifier about excluding WHOIS or ownership data. However, the input schema exposes 8 other parameters (url, city, feed, json, path, zone, query, ref) that the description never ties to the tool's purpose, so the true scope is ambiguous.

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 phrase 'without WHOIS or ownership data' implies a lightweight syntactic use case and hints at when not to use the tool, but no alternatives or explicit exclusions are mentioned. Sibling tools such as normalize-url, github-repo-shape, and validate-json are not referenced, so an agent must infer when this tool is appropriate.

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

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

With no annotations, the description carries the burden of behavioral disclosure. It does disclose the HTTP method (HEAD), the public-URL scope, and that only status is returned, which is meaningful. But it omits other relevant behavioral details such as what happens on redirects, timeouts, network errors, and whether the non-URL parameters are truly ignored or checked.

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 filler. 'HEAD a public URL and return status only' is compact and immediately conveys the key operation and output scope.

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 under-specified relative to its complexity: the schema offers nine optional parameters covering URLs, feeds, cities, JSON, paths, timezones, and queries, yet the description only addresses URL HEAD requests. There is no output schema, so the form of the returned status (e.g., integer code vs. text) is not specified, and the description does not clarify which parameter is actually required or primary.

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 100% description coverage for all 9 parameters, so the description adds little parameter-level value beyond what the schema already states. The baseline of 3 applies: the description does not confuse parameter meanings, but it also does not enrich them.

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 names a specific action (HEAD), a specific resource (a public URL), and the expected output (status only). This clearly conveys the core purpose and broadly separates it from content-fetching tools. However, it does not explicitly differentiate it from siblings like browser-url-ok or web-fetch, and the 9-parameter schema is not reconciled with the single-URL mental model the description creates.

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 usage context is implied: it should be used when you only need a lightweight HTTP status for a public URL and not page content. There is no explicit statement of when to prefer alternatives such as web-fetch, playwright-url-ok, or browser-url-ok, and no guidance about what to do with the many non-URL parameters in the schema.

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 must carry the full burden of disclosing behavior. 'Path discarded' is the only behavioral hint and it is ambiguous; the description does not state that the operation is read-only, what output is produced, or how invalid or non-Figma URLs are handled.

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 appropriately short and front-loaded: the core purpose appears immediately and there is no filler. However, 'Path discarded' is terse enough to be ambiguous, which slightly reduces the clarity earned by the brevity.

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 9 generic parameters, no annotations, and no output schema, the two-sentence description is incomplete. It does not say which parameter carries the Figma URL, what the output represents, or what 'shape' means in practice, leaving an agent to guess.

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%, so the baseline is 3. The description adds a useful clarification that the URL parameter is expected to be a Figma file URL—something the schema's generic 'HTTPS URL to normalize or cite' does not convey—and that path is discarded. Still, it does not explain which of the many other generic parameters are irrelevant.

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 names a concrete resource, 'Figma file URL', and a verb, 'parse', so an agent can identify it as the Figma-specific shape tool among siblings. However, it never states that this is a validation/shape check or what the tool returns, and 'Path discarded' is ambiguous—it could mean the URL path or the `path` parameter.

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 only implied by the phrase 'Figma file URL', which suggests the tool is for Figma URLs, but there is no explicit when-to-use guidance, no mention of alternatives, and no exclusions. With sibling tools like browser-url-ok, domain-shape, and normalize-url nearby, an agent gets little help choosing this one.

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 must carry behavioral disclosure. It does state that no disk access occurs, which is a meaningful safety trait. However, it does not disclose what checks are performed, what constitutes 'safe', or what the return value looks like, leaving significant behavioral uncertainty.

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 immediately conveys the action and a key safety property, which is excellent conciseness.

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 nine parameters and no output schema, this description is grossly incomplete. It does not explain how the various parameters relate to the 'path' focus, what the output format is, or what 'looks safe' entails. The mismatch between the name/description and the broad schema leaves an agent uncertain about correct invocation.

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?

While the schema covers 100% of parameters with descriptions, the tool description only mentions 'path'. The other eight parameters (url, city, feed, host, json, zone, query) are not explained in relation to the stated purpose, creating confusion about why they exist. The description fails to add meaning that ties the schema together.

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 states a specific action (check), a resource (path), and a qualifier (looks safe, no disk access). It clearly distinguishes itself from sibling tools that target URLs, domains, or other shapes, and is not a 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 implies it is for validating file paths, but it does not explicitly state when to use it over alternatives, nor does it mention any exclusions or prerequisites. The 'no disk access' note hints at a safe validation scenario, but 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 are provided and the description does not disclose side effects, external network usage, error behavior, or data handling. The mention of Open-Meteo implies an external call, but no behavioral details are given.

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 focused sentence with no filler, and the core output is front-loaded. It is appropriately concise.

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 large optional parameter set and no output schema, the description omits essential context such as expected input mapping, return format, and failure modes. It is far from complete enough for an agent to invoke reliably.

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 descriptions exist for all parameters, but many are generic and unrelated (e.g., git ref, RSS feed, JSON text), and the tool description does not clarify which one is the 'place'. This adds confusion rather than useful 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 states that the tool returns latitude and longitude for a place via Open-Meteo, giving a clear high-level purpose. However, it does not specify which of the nine optional parameters identifies the place, so the purpose is not actionable from the description alone.

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?

There is no guidance about when to choose this tool over other sibling tools, nor any mention of prerequisites or context. The description simply states what it does without explaining usage conditions.

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 for behavioral disclosure. It states the core parse behavior, which implies a read-only local operation, but it does not describe return shape, error behavior on invalid URLs, or the fact that unrelated schema fields are discarded after checks.

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 tight sentence that states the exact operation with no filler. The key resource and action are front-loaded, making it easy for an agent to scan and understand.

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 no annotations, the description leaves important context missing: what the parsed result looks like, how invalid GitHub URLs are handled, and why the schema contains many seemingly unrelated fields. The tool works, but an agent is left to infer several behavioral 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?

Schema description coverage is 100%, so the structured schema already documents each parameter. The description adds no extra parameter-level meaning, so the baseline of 3 is appropriate.

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

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

The description uses a specific verb ('Parse') and names the exact resource ('owner and repo from a GitHub URL'). It clearly differentiates this tool from siblings like figma-url-shape, jira-key-shape, and normalize-url by restricting scope to GitHub repository URLs.

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 operation is clear enough that an agent can infer when to use it: when a GitHub URL needs owner/repo extraction. However, there is no explicit guidance about when not to use it or which sibling alternative to prefer, such as normalize-url or browser-url-ok.

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, but it only mentions counting and discarding titles. It does not disclose return format, errors, side effects, or whether parameters are actually used.

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, with no filler. Both sentences add information: the core action and a behavioral detail about titles.

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 omits essential context: what the tool returns, how parameters relate to the action, possible errors, and any output structure. With no output schema or annotations, it is inadequate for reliable invocation.

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 nine optional parameters are irrelevant to the stated purpose of counting HN front-page stories, and their descriptions appear generic or copied from other tools. This is actively confusing rather than helpful.

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 states a clear action and resource: count current Hacker News front-page stories. However, it does not explicitly differentiate from related tools like web-fetch or fetch-status, though the name helps.

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 about when to use this tool instead of siblings, nor any conditions or exclusions. The description only states the action without 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?

No annotations are provided, and the description carries the full burden of behavioral disclosure. The phrase 'Common IANA timezone names for clock calls' gives no information about side effects, return values, mutation, network use, or permissions. It does not even state what happens during a call, leaving the agent completely in the dark about the tool's behavior.

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

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

The description is under-specified rather than concise. A single sentence is fine, but this sentence lacks a verb and fails to communicat what the tool actually does. The structure is not front-loaded with the key behavior; it is simply too terse to be useful.

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 has 9 optional parameters, no annotations, and no output schema, so the description must provide a lot of context. It does not describe the operation, the return result, or how the parameters relate to the stated purpose of 'IANA timezone names for clock calls.' An agent cannot reliable invoke this tool correctly from the definition.

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?

Since the input schema has 100% description coverage, the baseline is 3. The top-level description adds no additional meaning beyond what the schema already says about each parameter. It does not clarify the relationship between the 9 optional parameters or indicate which one is the primary input for the 'timezone name' purpose.

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 is a noun phrase with no verb: 'Common IANA timezone names for clock calls.' It does not state whether the tool lists, validates, resolves, or returns timezone names, and it is almost a restatement of the tool name 'iana-zones'. It also fails to differentiate from sibling tools like 'timezone' or 'utc-time', which are more action-oriented.

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?

There is no guidance on when to use this tool versus alternatives. The description does not mention conditions, prerequisites, or alternative sibling tools, and it is not clear whether it should be chosen over a dedicated 'timezone' or 'utc-time' tool. The only hint, 'for clock calls', is too vague to serve as reliable usage 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?

With no annotations, the description carries the full behavioral burden. It discloses that the tool fetches a public robots.txt and returns only group counts, but it does not state network access implications, failure behavior, what 'group counts' means, or whether any parameters are ignored. This is minimal transparency.

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

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

The description is a single front-loaded sentence with no wasted words. It could be slightly more structured by naming the target parameter, but as a concise statement it succeeds.

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 has 9 optional parameters, no required parameters, no output schema, and no annotations, yet the description provides no parameter mapping, no return-shape details, and no example. This is far from sufficient for an agent to invoke it correctly.

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

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

Although schema coverage is 100%, the parameter descriptions are generic and do not clarify how any parameter maps to the robots.txt fetch. The description says 'Fetch a public robots.txt' but never identifies whether url, host, or another parameter supplies the target. An agent cannot confidently select the correct 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 states a specific verb and resource ('Fetch a public robots.txt') and a clear output constraint ('return group counts only'). It differentiates this from generic fetching siblings by focusing on robots.txt group counts, though it leaves 'group counts' undefined.

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 gives no guidance on when to use this tool versus siblings like web-fetch, fetch-status, or normalize-url. Usage is only implied by the tool name and the term 'robots.txt'; there are no explicit alternatives, exclusions, or selection 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 carries the behavioral disclosure burden. It states that the key is discarded, which implies a non-retaining validation operation. It does not mention the return value, failure behavior, network usage, or whether any other side effects exist.

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 only two short sentences with no filler, and the main purpose is front-loaded. The second sentence is terse and a little cryptic, but still earns its place by adding a privacy/behavioral signal.

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 is too thin for reliable invocation: there is no output schema, no expected Jira key pattern, no mapping to the seven schema parameters, and no usage context. An agent would have to guess which parameter contains the key and what the tool returns.

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 seven string parameters, none named 'key', and none clearly maps to a Jira issue key. The description uses the word 'Key' but fails to link it to any schema property, so an agent cannot confidently choose which field to populate.

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 names a specific verb and resource: 'Check a Jira issue key shape.' The tool name reinforces this. However, it does not define what makes a valid Jira key shape or which input parameter carries the key.

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 domain is clear from 'Jira issue key', so an agent can infer it is the Jira-specific sibling of tools like github-repo-shape or domain-shape. There is no explicit statement of alternatives or when not to use it, but the resource name gives enough context for basic 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?

With no annotations, the description carries the full behavioral burden. It discloses one trait: 'Body discarded.' It does not mention whether the operation is read-only, how errors are surfaced, whether multiple parameters are accepted simultaneously, or what happens with the many discardable inputs.

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 front-loaded and contains no unnecessary words. However, for a tool with nine optional parameters and no annotations or output schema, a single sentence is under-specified and not 'appropriately sized' for the tool's complexity.

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 provides a minimal output expectation ('HTTP status') and one behavioral note ('Body discarded'), but it does not explain the relationship among the nine parameters, mutual exclusivity, selection precedence, or what 'hint' means as a tool concept. Given no output schema and no annotations, this is insufficient for reliable invocation.

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%, so the baseline is 3 even without extra parameter details in the main description. The main description adds nothing beyond the schema, but the schema already explains each parameter. The mismatch between the URL-focused description and the other parameters is confusing, yet the schema-level descriptions prevent a lower score.

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 names a concrete operation: return the HTTP status for a public library docs URL and discard the body. It is a specific resource and outcome, which makes the core purpose understandable. However, it does not explicitly differentiate from sibling status-checking tools, and the input schema contains many unrelated parameters not mentioned in the description.

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 gives no guidance on when to prefer this tool over siblings like fetch-status, web-fetch, or browser-url-ok. It does not state any exclusions, alternatives, or conditions such as 'use this when you only need the status code.' The context is implied at best.

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 behavioral burden. It does disclose a non-obvious behavior — 'Values discarded' — indicating that only the key count matters and values are not returned. But it omits other behavioral context such as whether the operation is read-only, how errors are handled, or what side effects, if any, occur.

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 short sentences with no filler. The main action is front-loaded and the behavioral note 'Values discarded' 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 tool with nine optional parameters and no output schema, this description is too sparse. It does not specify how to provide the JSON object, whether the count is top-level or recursive, what the return value looks like, or what happens with an empty/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 description coverage is 100%, so the baseline is 3; the schema already documents each parameter. The tool description adds the general rule that values are ignored, but it does not resolve how the nine optional string parameters relate to the 'JSON object' being counted, so it adds little 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 uses a specific verb and object — 'Count keys in a JSON object' — which clearly signals a counting operation and is distinct from sibling shape/validation tools. However, it doesn't clarify which of the nine input properties actually contains the JSON object, so there is some ambiguity.

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 about when to use this tool versus validate-json, domain-shape, or other sibling tools. The intended selection condition is only implied by the action of counting keys; there are no usage conditions, exclusions, or mention of 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?

The description does disclose a real behavioral trait: query and fragment are dropped. With no annotations available, the description carries the transparency burden, but it does not mention error behavior, whether any network access occurs, or that the many extra schema parameters are discarded.

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 compact sentences with the main action and output in the first sentence and a precise exclusion in the second. Every word earns its place and the key behavior is 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 core output is stated, but there is no output schema and no explicit return format. The description also leaves the relationship to the many URL/shape siblings unclear and does not explain why the schema contains many unrelated optional parameters.

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%, so all nine parameters already have individual descriptions. The tool description adds no parameter-level meaning beyond the URL behavior; the schema's 'discarded after...' notes do the semantic work.

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 returns origin, host, and path for a URL and drops query and fragment, so the verb and resource are explicit. It does not name or contrast with sibling URL-related tools, though the stated output components make it reasonably distinguishable.

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 about when to use this tool versus alternatives such as browser-url-ok, web-fetch, or the various shape-checking siblings. There are no exclusions, prerequisites, or hints about which sibling to prefer in which scenario.

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 transparency burden. It does disclose a key behavior—no browser is launched—and implies a read-only reachability check. But it does not say whether a network request is made, what side effects may occur, what the tool returns, or how the check is performed.

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 concise, purposeful sentences: the first states the core purpose and the second provides a critical behavioral qualifier. There is no filler, repetition, or unnecessary detail.

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 has nine optional parameters, no required fields, no output schema, and no annotations, yet the description does not specify required inputs, result format, or how to invoke it correctly. The short description is insufficient for an agent to make confident call decisions.

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 descriptions cover 100% of parameters, so the baseline is 3, and the tool description adds no additional parameter-level meaning. It also does not clarify which of the nine optional fields is the actual URL to check, leaving room for confusion despite high schema coverage.

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 whether a URL can be opened, with the important qualifier that no browser is launched. This gives a specific action and resource and partially separates it from browser-based sibling tools, though 'opened' is left somewhat underspecified.

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 browser is launched' implies this is a lightweight, non-rendering check and can guide an agent toward it when a browser is not needed. However, it does not explicitly name alternatives like browser-url-ok, fetch-status, or web-fetch, nor state when to prefer those instead.

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 the description carries the full burden. It discloses one trait — 'Query discarded' — which matches the schema's 'discarded after the length check,' but it says nothing about what the tool returns, whether the url/feed/host inputs trigger network requests, or whether the operation is read-only.

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?

Ten words with no filler; the purpose sentence is front-loaded and the discard note is a genuine behavioral addition. The description is efficient, though it could productively use more space given the schema's complexity.

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 no annotations and no output schema, the description must carry the full context, and two sentences cannot do so for a 9-parameter tool. It omits the return value, the required inputs, and the reason the eight unrelated parameters exist, leaving an agent confused about how to call it 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 100%, so per baseline the description need not restate parameter meaning. It adds only the 'search query' framing, which helps map intent to the `query` field but leaves the role of the other eight parameters unexplained.

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 states a specific action — counting characters in a search query — so the core purpose is discernible. However, it never ties 'search query' to the `query` parameter among nine unrelated inputs, and it doesn't differentiate this from sibling count tools like memory-key-count or hn-front-count.

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?

There is no guidance about when to use this tool, which of the nine parameters to supply, or when a sibling would be preferable. The two-sentence description leaves the agent to guess the invocation context entirely.

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 present, the description carries the full burden of disclosing behavior, but it offers none. It does not state whether the tool is read-only, whether it performs HTTP requests, what it returns, or any side effects. The string 'short catalog' is insufficient for an agent to understand the tool's operational behavior.

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

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

The description is short but this is under-specification rather than polished conciseness. It provides almost no information, and every additional meaningful element is missing. It is not front-loaded with useful guidance; it simply contains a single noun phrase.

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 nine optional parameters, no annotations, no output schema, and no behavioral description, this description is far from complete. An agent cannot determine what inputs to use, what the tool returns, or how to invoke it correctly. The single phrase leaves nearly everything unspecified.

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%, so the input schema already documents all nine parameters. The description itself adds no parameter-level meaning and does not explain how parameters like url, city, or json relate to the HTTP status code catalog, but the baseline for high schema coverage keeps this at 3.

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 merely restates the tool name: 'status-catalog' becomes 'short catalog of common HTTP status codes'. It names a noun rather than a function and gives no verb or operation an agent can act on, making it a tautology rather than a clear purpose statement.

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

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

There is no guidance on when to use this tool instead of siblings like fetch-status, web-fetch, or browser-url-ok. The description does not state when to invoke it, what problem it solves, or what conditions should trigger its use.

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 one behavioral trait: the prompt is discarded. However, it does not clarify that all nine input parameters are ignored or that the tool returns a fixed template regardless of input, which is essential behavior for safe invocation.

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

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

The description is very short and front-loaded, with no redundant wording. The second sentence adds a behavioral note, though it is ambiguous and could be clearer.

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 confusing schema with nine optional parameters and no required fields, the description should explicitly state that all parameters are ignored and that the tool can be called with no arguments. It does not provide enough context to invoke the tool correctly.

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

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

Although each parameter has a description, those descriptions are misleading in the context of this tool. For example, 'url' says 'normalize or cite' and 'city' says 'weather hint', but the tool actually returns a thinking template and discards input; the descriptions do not reflect real parameter behavior.

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 states a specific action, 'Return', and a clear resource, 'three-step thinking template'. This clearly differentiates it from sibling tools that check URLs, calculate, or fetch statuses.

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 gives no guidance on when to use this tool instead of a sibling. 'Prompt discarded' hints that input is ignored but does not explain circumstances or 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?

With no annotations, the description conveys that this is a read-only time lookup, which is the core behavioral trait. It does not disclose return format, error behavior, or how the zone parameter relates to the many other parameters that are described as discarded, so some behavioral context is left to the schema.

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, and the key constraint 'named IANA timezone' is front-loaded. Every word contributes to understanding the tool's 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?

The description is minimally adequate for a simple time lookup, but with no output schema and nine optional parameters, it leaves out the return format and the relationship between the zone parameter and the other discarded parameters. A bit more operational detail would make it 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 100%, so the schema already documents all nine parameters, including 'IANA timezone name' for zone. The description adds little beyond reinforcing that the timezone must be a named IANA zone and does not clarify which parameter is primary.

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 states that the tool returns the current time for a named IANA timezone, clearly identifying both the resource and the operation. It is distinguishable from the sibling utc-time through the 'named IANA timezone' qualifier, though it does not explicitly contrast itself with 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 intended use is implied: call this when you need the current time for a specific IANA timezone. However, no alternatives, exclusions, or when-not-to-use conditions are provided, even though relevant siblings like utc-time, iana-zones, and geo-hint exist.

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 of behavioral disclosure, but it only states the output. It doesn't disclose that all nine input parameters are effectively ignored or discarded, that the call has no side effects, or what format the timestamp takes. This leaves room for an agent to incorrectly assume parameters like zone or url affect the result.

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 phrase with no filler or redundant information. It is concise and easy to parse. However, it is almost too terse for a tool with nine optional parameters and no usage guidance, which keeps it from being a perfect score.

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 has no annotations, no output schema, and nine optional input parameters, yet the description only provides a minimal statement about the return value. It omits important context such as how parameters are handled, whether the tool is safe and read-only, what the response format is, and when to choose it over sibling tools. This is not complete enough for reliable agent invocation.

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 covers all nine parameters with descriptions, so the baseline is 3. The tool description itself adds no parameter-level meaning, but since the schema already documents each parameter and notes that many are discarded, the description doesn't need to repeat that. It fails to add value beyond the schema, but the schema coverage 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 'Current UTC timestamp' clearly identifies the tool's output and purpose, making it easy to understand that this tool returns the current UTC time. It lacks an explicit verb but is specific enough to distinguish from sibling tools like timezone or iana-zones, which deal with timezone names rather than current UTC time.

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 guidance on when to use this tool versus alternatives such as timezone or iana-zones. It doesn't mention when not to use it, what prerequisites exist, or how the optional input parameters relate to usage. The only implied usage is that it returns the current UTC timestamp, which is not enough to guide selection among the related siblings.

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 behavioral disclosure burden. It does disclose that the body is discarded, which is useful privacy information, but it omits the return format, validity criteria, and error behavior. The discard detail is also already present in parameter descriptions, so the description adds little beyond schema-provided information.

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 short sentences with the purpose front-loaded and no filler. The discard statement is concise but somewhat redundant with the parameter descriptions, so it does not fully earn its place despite the efficient 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?

There is no output schema and no annotations, and the tool has seven parameters. The description does not explain what the tool returns, which parameter should be provided, or why several unrelated-looking parameters exist. For a validator with this complexity, the description is underspecified.

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?

All seven parameters have schema descriptions, so schema coverage is high. The description itself adds no parameter-level meaning beyond calling one thing a 'body,' while the schema's 'json' parameter explicitly identifies the JSON text to validate. This matches the baseline of 3 for high schema coverage.

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 states a clear operation ('check') and resource ('whether a body is valid JSON'), and it adds the discard behavior. It does not explicitly differentiate from sibling validators, but JSON validation is a distinct enough focus that an agent can identify its purpose. 'Body' is slightly vague, though the schema's 'json' parameter disambiguates it.

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 about when to use this tool versus alternatives. It does not mention any sibling tools, exclusions, or conditions such as 'use this only for JSON text validation.' The usage context is only implied by the tool name and description.

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 mention side effects, network access, rate limits, or whether the operation is read-only. The phrase 'via Open-Meteo' implies an external call, but the behavioral details are otherwise absent.

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 itself is a single concise sentence that front-loads the core function. It is not verbose, although the surrounding parameter list is noisy and could mislead the agent.

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?

There is no output schema and no mention of units, response format, or error behavior. The tool fails to clarify which of the nine optional parameters are actually needed, making it incomplete for reliable agent 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?

Most parameter descriptions appear copied from unrelated tools, such as 'ref', 'url', 'feed', 'host', 'json', 'path', and 'query'. Only 'city' and 'zone' are plausibly relevant to weather, but 'city' is described as 'discarded after the call', which is confusing and adds no meaningful semantics.

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 states that the tool returns the current temperature for a city and identifies the backend as Open-Meteo. It lacks an explicit verb like 'get' or 'return', but the purpose is still unambiguous and clearly distinct from the sibling tools.

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 gives no guidance on when to use this tool versus alternatives, no mention of which parameters are relevant, and no indication of required inputs. With nine optional parameters, the agent receives no practical usage direction.

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 behavioral disclosure burden. It does disclose a key behavior: the body is discarded and the URL must be public. It does not mention that an actual network request is made, redirect/timeout behavior, or how the many schema parameters are treated outside of their own 'discarded' descriptions.

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 short sentences with no filler, and the core output and body-discard caveat are front-loaded. Every word earns its place, and the structure is easy to parse quickly.

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?

This is a network operation with no output schema, no annotations, and a confusing nine-parameter input schema. The description only covers status/content-type and body discarding, but is silent on return format, which parameter to pass, and how this differs from sibling fetch/URL-checking tools. An agent would need to rely heavily on the schema descriptions and still lack confidence about expected usage.

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%, so each parameter already has its own description, making the baseline 3. The tool description adds little beyond indicating that the relevant input is a public URL. It does not clarify why unrelated optional parameters such as ref, city, feed, json, zone, or query are present, though the schema labels most of them as discarded.

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 states the tool provides HTTP status and content type for a public URL, and explicitly notes that the body is discarded. This is a specific and useful definition. However, it lacks an explicit verb like 'fetch' or 'return' and does not distinguish itself from siblings such as fetch-status or browser-url-ok.

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 phrase 'public URL' and 'Body discarded' imply lightweight availability/content-type checking rather than content retrieval, which gives some usage context. It does not explicitly state when to use this tool versus alternatives like fetch-status, browser-url-ok, or playwright-url-ok, nor does it give clear 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 present, the description carries the full burden of behavioral disclosure. It usefully notes that the title is discarded after the call, but it does not disclose the output format, error behavior, network effects, or explicitly confirm that the operation is strictly read-only beyond the implicature of 'check'. This is insufficient without annotation support.

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

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

The description is two short sentences with no filler: the first states the purpose, and the second adds a relevant data-handling side effect. It is front-loaded and concise, even though its brevity contributes to completeness gaps penalized elsewhere.

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 has seven input parameters, no annotations, and no output schema, so the description must explain how to invoke it and what to expect. It does neither: the 'title' concept from the description has no matching parameter, and the schema's parameter descriptions look unrelated to Wikipedia title checking, leaving the tool effectively non-invocable.

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 refers to a 'Wikipedia title', but the input schema contains no 'title' parameter; instead it lists ref, url, city, feed, host, json, and path with descriptions that appear unrelated. The description gives the agent no way to determine which parameter carries the title, making correct invocation impossible as 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 action ('Check whether a Wikipedia title exists') and the resource (Wikipedia title), making the tool's purpose immediately understandable and distinct from sibling tools that check URLs, robots, or JSON. However, it does not explicitly differentiate from related tools or describe the return value.

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 a clear context for use: when an agent needs to verify whether a Wikipedia title exists. It does not include explicit exclusions or mention named alternatives, such as normalize-url or web-fetch, so it stops short of a full 5.

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