ISO country MP

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

The description discloses a useful behavioral trait: 'Task text discarded' informs the agent that input text is not retained or relied upon. It also states the four kinds of returned content. However, with no annotations present, the description still leaves side effects, network behavior, and authentication requirements unstated, so full behavioral transparency is not achieved.

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, front-loaded sentences with no filler. The action, return artifacts, and discard caveat each earn their place, making this an appropriately concise definition.

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 having nine optional parameters and no output schema, the description does not explain what input an agent should provide, whether any parameter is expected, or what the returned CLI setup and MCP hops look like. Terms like 'Monid' and 'remote MCP hops' are left unexplained, so an agent would have to guess at invocation 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?

All nine parameters already have schema descriptions, so the schema carries the parameter semantics and the baseline is 3. The description adds only the blanket 'Task text discarded,' which partially duplicates the per-parameter 'discarded after' notes. It does not explain how any specific parameter affects the gateway lookup.

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 opens with a specific verb and object: 'Find a public pay-per-call tool gateway (Monid).' It also lists the returned artifacts, making it clear this is a discovery/indexing tool rather than one of the many shape-checking siblings. It does not explicitly contrast itself with siblings, but the resource and return values are specific enough to orient an agent.

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: an agent should call this when it needs a Monid gateway or its setup artifacts. However, the description gives no explicit when-to-use or when-not-to-use guidance and names no alternative tools. Given the large sibling list, a clearer trigger or exclusion would strengthen this dimension.

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 behavioral burden. It discloses one meaningful behavior: no browser is launched. However, it does not clarify whether the check performs network requests, whether it is purely read-only, what happens with invalid inputs, or how the given URL is evaluated, so the disclosure is only partial.

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

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

The description is extremely concise: two short sentences that immediately state the purpose and the most important non-behavior. Every word earns its place, and there is no redundant fluff.

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 annotations, the description should clarify what a successful check returns, what 'can be opened' means, and which of the nine optional parameters are relevant. It does none of these, leaving an agent to guess at the result format and evaluation criteria.

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 parameters are already documented and the description does not need to repeat their meanings. Still, the description identifies 'URL' as the core focus while the schema includes many non-URL parameters such as city, json, timezone, and query; the description does not explain how those relate to the URL check, leaving some semantic ambiguity.

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 verb and resource: 'Check whether a URL can be opened' and adds the useful caveat 'No browser is launched.' However, 'can be opened' is ambiguous—it could mean URL syntax validation, browser support, or network reachability—and the schema exposes many unrelated optional parameters, making the tool's scope less clear than it first appears.

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 'No browser is launched' weakly implies this is a lightweight preflight check rather than a full browser-based navigation, which hints at when to use it versus a sibling like playwright-url-ok. But the description never explicitly names alternatives, conditions, or exclusions, so the guidance remains implicit rather than actionable.

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. It does mention 'Expression discarded,' which is a weak behavioral hint, but since no expression parameter exists in the schema, the statement is confusing. It does not disclose side effects, return values, error behavior, or permissions, and the schema's per-parameter 'discarded' notes are structured data, not description-level 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 very short, which is good, but brevity here results from under-specification rather than efficiency. The second sentence, 'Expression discarded,' does not earn its place because there is no expression input to anchor it. A concise but misleading description is not a well-structured one.

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 nine-parameter tool with no annotations, no output schema, and no nested structures, yet the description offers only a one-line arithmetic claim with no connection to the actual interface. An agent cannot determine valid call patterns, expected inputs, outputs, or failure modes. The description is severely incomplete for a tool of this 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 100%, so a baseline of 3 is warranted, but the description adds no meaningful parameter semantics and instead references an 'expression' that is absent from the schema. The description does not help an agent map any of the nine parameters to the promised arithmetic evaluation, so it actively degrades 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 states a specific action ('Evaluate') and resource ('a+b style arithmetic'), but the input schema contains no arithmetic or expression parameter. The nine parameters are heterogeneous strings for URLs, cities, JSON, file paths, and queries, so an agent cannot tell what the tool actually evaluates. This creates confusion rather than clarity.

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 about when to use this tool versus any of the many sibling tools that perform shape checks, URL validation, JSON validation, or timezone lookups. No conditions, exclusions, or alternatives 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 present, so the description must carry the full behavioral burden. It discloses that page content is not stored, which is useful, but it does not mention whether a network request is made, whether there are side effects, or any permissions/rate-limit 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?

Two sentences with no filler. The main behavior is front-loaded and the non-storage statement earns its place as a privacy-oriented behavioral note.

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 9 parameters and no output schema, this description is too sparse to be complete. It does not explain how the extra parameters relate to the tool, what the response shape is beyond three fields, or when this tool should be selected over fetch-status or normalize-url.

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 already provides descriptions for all 9 parameters, so the baseline is 3. The tool description adds no new parameter meaning and only reinforces the url parameter while ignoring the other eight, which remain confusingly justified by schema text alone.

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 behavior: return host, scheme, and HTTP status for a URL. It is clear, but it does not explicitly differentiate this from closely related siblings like fetch-status or normalize-url, whose purposes overlap with these outputs.

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 citation versus a sibling tool. The line 'Page content is not stored' faintly implies this is not for content retrieval, but there are no explicit conditions, alternatives, 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 the description must carry the safety/behavior burden. It does disclose one meaningful trait—no WHOIS or ownership lookup—but does not explicitly state that it is a pure/no-network read operation or that unrelated input fields 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?

A single 9-word sentence that front-loads the action and object, with no filler. It is concise, though the same brevity causes the missing usage and parameter context.

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, no annotations, 9 optional params, and many sibling shape/URL tools, this is not complete. There is no return-format note, no invalid-input behavior, and no statement that other params are ignored.

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 are already described in the schema (100% coverage), so the baseline is 3. The description adds no param-specific guidance and does not nominate `host` as the only relevant parameter, leaving the wide optional surface ambiguous, but the schema itself is informative.

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 ('split'), a concrete resource ('hostname'), and the output ('labels'), and adds an explicit scope constraint ('without WHOIS or ownership data'). This is enough to distinguish it from ownership-enrichment tools, though not from other shape-check 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 gives no when-to-use guidance and names no alternatives. With 27 sibling tools like normalize-url, github-repo-shape, and wiki-title-ok, an agent is left to infer the correct choice from the name alone.

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 disclose behavioral details itself. It mentions the HEAD method and that only status is returned, but it does not explain the unusual 9-parameter schema, what the return format is, how failures are reported, or whether redirects/auth are handled. The description is minimal and leaves key behavior unspecified.

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 with no wasted words. It is appropriately front-loaded, though its brevity borders on under-specification given the complex schema.

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 output schema, and many closely related sibling tools. A one-sentence description does not explain how to choose the correct parameter, what the returned 'status' looks like, or how this tool relates to sibling URL-checking tools. This is not enough for an agent to invoke it 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 description coverage is 100%, so the schema already documents each parameter. The description adds no parameter-level meaning and actually focuses only on URL, while the schema includes many unrelated optional fields, creating potential confusion about which parameter to use.

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 (HEAD) and resource (a public URL) with a clear output restriction ('return status only'). It is not a tautology and is distinguishable from sibling tools like web-fetch, though it does not explicitly name alternatives.

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 'return status only' implies this is for when only an HTTP status is needed, but it does not explicitly say when to use this tool over browser-url-ok, playwright-url-ok, web-fetch, or status-catalog. Usage guidance is left to inference.

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 only states that the path is discarded, but does not say whether the tool fetches the URL, only checks its shape, what happens on invalid input, or whether all other parameters are ignored. This is too thin for an agent to predict tool behavior reliably.

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 and front-loaded: it opens with the core action and resource, then adds the path-discard detail. There is no filler or repetition. It earns high marks for structure, though it sacrifices completeness for 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?

Given nine generic optional parameters, no output schema, and no annotations, this description is insufficient for an agent to invoke the tool correctly with confidence. It does not identify the required input, the return value, error behavior, or how this tool relates to similar URL and 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 schema itself has 100% parameter-description coverage, so the baseline is 3. The description adds the Figma-specific context and notes path disposal, but it does not specify which of the nine optional parameters should be provided for a Figma URL shape check. Since none of the parameters are required, this ambiguity is a meaningful 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 names a specific verb and resource: parse a Figma file URL. This distinguishes it from sibling shape tools like github-repo-shape or jira-key-shape, and the subject matter is unambiguous. However, it does not clarify what 'parse' yields or whether this is strictly a shape/format validation, so the purpose is clear but not fully specified.

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 this tool is for Figma file URLs, which gives some usage direction. There is no explicit guidance about when to choose this over normalize-url, browser-url-ok, or other URL-related siblings, and no statement of 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?

With no annotations, the description carries the burden of behavioral disclosure. 'No disk access' usefully discloses that it does not check file existence or touch the filesystem, but it does not explain what 'safe' means, what inputs are accepted, or what happens with invalid paths.

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 short sentences with no filler; the core action is front-loaded and the key constraint ('No disk access') follows immediately. 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?

For a tool with no annotations, no output schema, and a nine-property optional schema, this description is too thin. It does not state the return type, which of the nine parameters actually apply, or how to handle the unrelated properties, leaving an agent uncertain about a correct call.

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%, so the baseline is 3. The description adds no parameter-level meaning beyond the schema; it mentions 'a path' generically, while the schema lists nine optional properties, including unrelated ones, and the description does not clarify which parameters are relevant.

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 ('Check') and resource ('a path'), and adds 'No disk access' to clarify this is a syntactic/safety check, not a filesystem call. This distinguishes it from sibling URL or domain shape tools even without opening their schemas.

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 'No disk access' phrase implies the tool is for safe, side-effect-free path validation, giving some usage context. However, it does not name alternatives, state when not to use it, or explain how it relates to sibling tools like 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?

No annotations are provided, so the description carries the full behavioral burden. It mentions that the data comes via Open-Meteo, implying an external call, but it does not disclose whether any input is persisted, what happens on failure, rate-limit implications, or what the response format will be. The schema notes that some fields are 'discarded', but the description itself adds little 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?

The description is a single, front-loaded sentence with no filler. It is concise and communicates the essential purpose quickly, though it is quite terse relative to the 9-parameter schema.

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, no output schema, and a 9-parameter schema, the description is too sparse to fully support invocation. It names the return concept—latitude and longitude—but does not specify the output format, which parameter identifies the place, or how the many unrelated-looking parameters fit in. The description is not complete enough for an agent to confidently parameterize the call.

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 description adds the useful geocoding purpose via Open-Meteo, but it does not clarify which of the 9 parameters should be used to supply the 'place' or how they relate to the returned coordinates.

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 core output clearly: latitude and longitude for a place, using Open-Meteo as the provider. It does not explicitly name an input parameter like 'city', but 'place' maps reasonably to the schema's city field and distinguishes this from sibling tools like weather-hint.

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 such as weather-hint, timezone, or iana-zones. There are no conditions, exclusions, or explicit alternative routing, leaving the agent to infer the appropriate context from the tool name and description alone.

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 burden of behavioral disclosure. It accurately implies a non-mutating parse operation, but it does not disclose that the many other schema parameters are ignored, nor how malformed or non-GitHub 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?

One sentence, no filler, and the core function is front-loaded. Every word contributes.

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 viable for a simple parser, but with 9 parameters, no output schema, and no annotations, it leaves ambiguity about the return shape and the irrelevance of the other parameters. A sentence noting that only `url` is used would complete 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 coverage is 100% and each parameter is individually described. The tool description adds value by identifying that `url` is the meaningful parameter and that the output is owner and repo, which the schema's generic 'HTTPS URL to normalize or cite' does not convey.

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', identifies the resource ('owner and repo') and the input domain ('a GitHub URL'). This distinguishes it from sibling tools like normalize-url, domain-shape, and jira-key-shape without needing to inspect schemas.

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 'from a GitHub URL' gives clear context for when to use the tool, and the contrast with siblings is implicit. It stops short of explicitly naming alternatives or exclusions, so it loses the top score.

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 only reveals that titles are discarded and that the count is current; it does not explain return format, network dependency, failure modes, or why the input schema contains nine seemingly unrelated optional 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 appropriately short and front-loads the core purpose without filler. The second sentence, 'Titles discarded,' is cryptic and could have been better integrated or expanded, but overall the text is 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?

For a tool with nine optional parameters, no output schema, and no annotations, this description is far too sparse. It does not explain the return value, parameter relevance, network behavior, or error conditions, leaving an agent without enough context to invoke the tool confidently.

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 the schema has 100% parameter description coverage, most parameter descriptions relate to other operations (weather hints, JSON validation, Git refs) and are not mapped to counting Hacker News stories. The tool description provides no clarification about which parameters matter, whether they are ignored, or how to invoke the tool correctly.

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 a specific action and resource: counting current Hacker News front-page stories. However, the appended 'Titles discarded' is ambiguous and the description does not explicitly differentiate this tool from sibling tools that might fetch or process web content.

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 versus alternatives, and no sibling tool is mentioned. 'Titles discarded' faintly implies the tool is for count-only needs, but it is not framed as a usage condition or exclusion.

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 the core behavior (network read of a public robots.txt) and that only group counts are returned. With no annotations, it does not cover error handling or side effects, but for a simple read-only fetch this is minimally 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?

A single front-loaded sentence with no filler; 'group counts only' is an efficient scoping constraint. 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?

With no output schema or annotations, and nine optional parameters, the description does not tell an agent how to specify the robots.txt location or what exactly a group count is. The unrelated-looking optional parameters (city, feed, json, path) make the invocation path unclear, so the definition is not complete enough for reliable calling.

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 though the description adds no parameter-level detail. The description never maps the robots.txt target to a schema parameter (url, host, or path), which is a notable 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 states a specific verb and resource: fetch a public robots.txt, and narrows the output to 'group counts only.' This is distinct from generic web-fetch or fetch-status, though it does not explicitly contrast with any sibling.

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 inspect-robots over alternatives such as web-fetch, fetch-status, or normalize-url, and no exclusionary conditions. The agent must infer use from the tool name alone.

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 only behavioral disclosure is 'Key discarded,' which hints at no retention but is vague and lacks a referent since no key parameter exists. With no annotations, the description fails to state whether the tool performs network calls, returns a boolean, throws errors, or has any side effects.

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

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

The description is short and front-loaded, but it is under-specified rather than efficiently concise. 'Key discarded' is an awkward, incomplete sentence that does not clearly explain what is discarded or why, and the description fails to convey enough content to justify its 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?

The description is completely inadequate for a tool with nine parameters and no output schema. It does not explain which parameter to pass, what the result format is, or how this Jira-key-shape check relates to the schema's generic fields like url, json, query, and path. An agent cannot correctly invoke this tool based on the provided definition.

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

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. The description adds no parameter-level meaning and, worse, implies a Jira key parameter that is absent from the schema. The baseline of 3 applies because the schema carries the parameter documentation burden, but the description does not compensate for the missing key mapping.

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 'Check a Jira issue key shape,' which is essentially a restatement of the tool name and adds little beyond the verb 'check.' More importantly, it never identifies which of the nine schema parameters holds the Jira key, and the schema contains no key-like parameter, making the stated purpose misleading.

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 versus sibling tools such as github-repo-shape, figma-url-shape, or domain-shape. No context, prerequisites, or exclusions are provided, so an agent cannot determine when this tool is the correct choice.

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 adds one useful behavioral detail: the body is discarded, making this a status-only check. However, with no annotations, the description carries the full burden and fails to disclose network behavior, side effects, error conditions, or that the many other inputs are also discarded after shape checks. This is thin for a tool with nine 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 two short sentences with no wasted words, and the main function is front-loaded. It is appropriately economical, though the brevity comes at the cost of scope information for a much larger 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?

With nine parameters, no annotations, and no output schema, a 12-word description covering only the URL-status case is not enough for an agent to know the tool's full capabilities or return behavior. The schema descriptions compensate somewhat, but the top-level description is a single-use glimpse of a broad multi-format validation 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 input schema has 100% description coverage for all nine parameters, so the baseline is 3. The tool description only loosely relates to the 'url' parameter and does not help an agent choose among city, json, query, ref, path, or timezone. No additional parameter meaning is added 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 a specific action and resource: it returns the HTTP status of a public library docs URL and discards the body. However, it is narrow compared to the nine-parameter schema, which includes ref, city, feed, json, path, query, and other inputs. It also does not differentiate this tool from sibling tools like 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?

There is no guidance on when to use this tool instead of fetch-status, browser-url-ok, web-fetch, or the other sibling validators. The description does not say which parameter to pass for which scenario, nor does it state any exclusions or preferred conditions. An agent must infer usage entirely from 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?

The description adds the behavioral detail that values are discarded, which is useful beyond the input schema. However, with no annotations provided, it does not disclose return format, side effects, or whether any state is modified, leaving the description to carry more weight than it can with one short sentence.

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 and front-loaded, with no wasted sentences. It briefly loses value by omitting important usage and parameter mapping details, but as a concise statement, it is clean and direct.

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 annotations, absence of an output schema, and a large parameter set with no clear indication of which parameter to pass, the description is not complete enough for an agent to invoke the tool confidently. The connection between 'Count keys in a JSON object' and the specific parameters is missing.

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%, so the schema already documents each parameter. The description does not clarify which parameter contains the JSON object to count, despite the schema listing nine unrelated-looking optional parameters. It adds no meaning beyond what the parameter descriptions already provide.

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: count keys in a JSON object, and notes that values are discarded. This is specific and understandable, though it does not explicitly distinguish the tool from similar JSON-related siblings like validate-json.

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 versus alternatives such as validate-json, domain-shape, or normalize-url. The description implies a use case for counting keys but gives no conditions, exclusions, or references to sibling 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?

No annotations are provided, so the description carries the full burden. It only reveals that no browser is launched; it does not disclose whether a network request occurs, how the check is performed, what 'ok' means, what the return value is, or whether there are side effects.

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

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

Two short sentences with no filler. The main purpose is stated first and the key behavioral constraint is front-loaded in the second sentence, making it efficient and scannable.

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, no output schema, and 9 optional parameters, this description is too sparse to be complete. An agent is not told what the tool returns, what conditions indicate success or failure, or how it relates to similar sibling tools, leaving important 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 description coverage is 100%, so the schema already documents all 9 parameters, including discard behavior. The tool description itself adds no parameter-level meaning, but the baseline of 3 applies because the schema carries the necessary 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 a specific action ('Check whether a URL can be opened') and identifies the resource (URL), with an added clarifying trait ('No browser is launched'). However, it does not differentiate this tool from the sibling 'browser-url-ok' or explain what 'opened' means operationally.

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 versus alternatives. 'No browser is launched' hints at a browserless context, but it does not explicitly say when to prefer this over browser-url-ok, fetch-status, or normalize-url, nor does it give 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 supplies an important behavioral fact: the query is discarded, so the tool does not retain input. It also implies a read-only counting operation. It does not mention errors or return shape, but for a simple local length check this is largely sufficient.

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 terse sentences with no filler, and the core action is front-loaded before the side-effect. Every sentence 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?

Despite full schema coverage, the description leaves the tool's contract under-specified: there are 9 optional parameters, no explanation of which one is the 'search query' to count, no explicit return type, and no guidance on why parameters like url, city, feed, or path are present. An agent cannot confidently predict behavior when multiple fields are supplied.

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; each parameter is described, including 'query' as search text discarded after the length check. The description adds no parameter-level meaning beyond pointing at 'a search query'.

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 ('Count characters') and resource ('a search query'), plus a notable side-effect ('Query discarded'). It is not a bare restatement of the name because it adds the discard behavior, though it does not explicitly differentiate from similar length/count 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?

Usage is implied: the agent can infer to use this when it needs the length of a search query. There is no explicit when-not/alternative guidance, which is a gap given the many sibling shape/check 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?

No annotations are present, so the description must describe behavior on its own. 'Short catalog' implies a read-only lookup, but the description doesn't disclose what the tool returns, whether it uses the input parameters, or that several parameters are discarded. The schema hints at shape checks, but the description leaves this opaque.

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 brief and contains no filler, which is good, but it is under-specified for a tool with a non-trivial schema. It's concise to the point of being vague rather than efficiently informative.

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 insufficient for an agent to confidently call this tool. It doesn't explain how the catalog relates to the eight optional parameters, what output to expect, or how this differs from other status-related tools. No output schema or annotations compensate for the missing 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?

The input schema already provides descriptions for all parameters, so schema coverage is high. The description adds no meaningful parameter-level context, and the relationship between 'HTTP status codes catalog' and parameters like city, feed, or path is not explained.

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 identifies the tool as a catalog of HTTP status codes, giving it a recognizable subject matter, but it uses a noun phrase rather than a specific verb+resource action. It doesn't differentiate from siblings like fetch-status or web-fetch, so an agent cannot tell whether this lists codes or looks one up.

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 versus the many sibling tools (fetch-status, browser-url-ok, web-fetch, etc.). No conditions, exclusions, or alternative tool references are provided.

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

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

No annotations are present, so the description carries the full burden. It does disclose the important trait that the prompt is discarded, and the schema reinforces that values are only shape-checked. However, it does not describe output details, safety side effects, or behavior when no parameters are supplied.

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 core operation front-loaded and no filler. It is concise, though it would need a bit more usage context to earn a 5.

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 eight optional parameters, no output schema, and no explanation of how the parameters relate to the returned template, an agent cannot determine what to supply or what the 'three-step thinking' result will look like. This is a significant completeness gap.

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 provides high-coverage descriptions for all eight parameters, including that values are discarded after checks. The description adds little beyond the global 'Prompt discarded' note, so the baseline 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 names a specific operation and output ('Return a three-step thinking template') and adds a clear behavioral qualifier ('Prompt discarded'). It does not fully define what the template contains or distinguish itself from sibling tools, but it is not a tautology or vague restatement of the name.

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 think-steps versus any of the many sibling utilities, nor what inputs should be provided. The 'Prompt discarded' warning suggests the prompt is not used, but it does not explain the intended call 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 must disclose behavior itself, but it only states the basic result. It doesn't say whether the call is read-only, what happens for invalid or missing timezone names, whether extra parameters are ignored, or what format the time is returned in.

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 with no filler; it front-loads the essential idea and doesn't repeat the tool name. It is highly scannable and 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?

There is no output schema and no annotations, but the description never explains the return value, error behavior, or the relevance of the many unrelated-looking schema fields. An agent selecting parameters for a lookup gets only the timezone hint and no guidance on required inputs.

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 covers all 9 parameters at 100%, so the baseline applies. The description loosely matches the timezone parameter ('IANA timezone name') but adds no meaning about the other parameters or how to use 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 clearly states that the tool gives the current time for a named IANA timezone, which is specific enough to distinguish it from list-like siblings such as iana-zones. It lacks an explicit verb and doesn't mention output format, so it stops short of full clarity.

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 use case is implied: call it when you need the current time in a specific IANA timezone. It doesn't explicitly point to alternatives like utc-time for UTC or iana-zones for zone lists, and gives no when-not-to-use 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?

No annotations are present, so the description should disclose behavior itself. It doesn't specify the timestamp format (ISO string, Unix epoch), precision, or the fact that all seven schema parameters are irrelevant or discarded for this operation.

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 terse and has no filler, with the key resource front-loaded. It earns a high score for conciseness, though it is potentially too brief for the complex seven-parameter schema.

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 output schema and no annotations, the description must explain the return value and invocation constraints. It omits the output format and fails to clarify that the schema parameters are optional or ignored, leaving an agent uncertain about how to call 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?

The input schema already describes every parameter in detail, so a baseline of 3 applies. The description adds no parameter-level meaning and doesn't state that none of the parameters are needed, but the schema's own descriptions cover the disposal 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 clearly identifies the resource (current UTC timestamp) and conveys the operation is to produce that value. It doesn't use an explicit verb and doesn't differentiate from siblings like timezone or iana-zones, which is why it falls short of a 5.

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

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

There is no guidance about when to choose utc-time over the timezone-related siblings, nor any stated exclusions. An agent must rely on the tool name and common sense to select 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 are provided, so the description carries the full burden of behavioral disclosure. It states that current temperature is fetched via Open-Meteo, but it does not disclose that many of the input-schema parameters are described as discarded, ignored, or unrelated to weather, nor does it mention units, error behavior, rate limits, or whether the call 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?

The description is a single, short sentence with no filler words. It front-loads the core purpose and is appropriately concise for what little it claims.

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 having nine parameters, no annotations, and no output schema, the description only addresses city-based weather and completely ignores the other eight parameters. An agent has no way to know which parameters are relevant, which are ignored, what the return value looks like, or how to handle the many unrelated schema fields.

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 each parameter in some detail. The description adds little beyond identifying city as the relevant parameter for weather, while the remaining eight parameters are left unexplained in the description and appear disconnected from the tool's stated purpose. This creates confusion rather than semantic clarity.

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 identifies the tool as returning current temperature for a city via Open-Meteo, which is specific enough to distinguish it from siblings like geo-hint or timezone. However, it is phrased as a noun phrase rather than an explicit verb+resource statement, and the large unrelated input schema creates some ambiguity about what the tool actually does.

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

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 weather-hint versus alternatives such as geo-hint or timezone. There is no mention of prerequisites, exclusions, or conditions, so an agent cannot determine whether this tool is appropriate for a given task beyond the obvious weather association.

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 usefully discloses that the body is discarded and that only public URLs are relevant. However, it does not mention redirect handling, network failure behavior, response format, or the fact that most of the 9 input parameters appear to be 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?

The description is extremely concise: two short sentences, with the core purpose stated first and the important body-discarded behavior stated immediately after. There is no redundant or filler wording.

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 high parameter count, no output schema, no annotations, and many sibling tools, the description is under-specified. It does not tell an agent which parameter to populate, what the returned content type value looks like, or how this tool differs from the many similar URL/status siblings.

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 implies that 'url' is the relevant input, but it does not clarify how the other eight parameters relate to the tool's stated purpose, and the schema's 'url' description ('normalize or cite') is somewhat inconsistent with fetching HTTP status and content 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 clearly identifies the tool's core behavior: retrieving HTTP status and content type for a public URL, and explicitly notes that the body is discarded. This is specific enough to distinguish it from general content-fetching tools, though it lacks an explicit verb and does not contrast with sibling tools like fetch-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?

No guidance is given about when to use this tool versus alternatives such as fetch-status, normalize-url, browser-url-ok, or playwright-url-ok. The phrase 'public URL' implies a scope restriction, but there are no explicit use cases, exclusions, or alternative recommendations.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does mention that the title is 'discarded after the call', which hints at statelessness, but it does not disclose whether this is a network/read-only operation, what it returns, how failures are handled, or whether normalization is applied. The retention note is also confusing because no 'title' parameter appears in 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 very short and front-loads the purpose in the first sentence. The second sentence adds one behavioral note. It is appropriately concise, though the brevity comes at the cost of missing essential input and return 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?

For a tool with a seven-property input schema and no output schema, the description is severely incomplete. It does not say which parameter carries the Wikipedia title, what the success/failure response looks like, whether it performs a live Wikipedia lookup, or what errors occur. An agent cannot correctly select or invoke this tool based on the provided definition.

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

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

The description references a 'title' input, but the input schema contains no 'title' property; it instead lists ref, url, city, feed, host, json, and path. The description provides no mapping from these schema properties to the intended title check, so an agent cannot determine what to pass. This is a critical semantic gap and actively misleading.

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 operation: 'Check whether a Wikipedia title exists.' This is a clear verb-resource pairing and broadly distinguishes the tool from URL/shape/file validators. However, it does not explicitly differentiate it from sibling tools like web-fetch or normalize-url, which might also be relevant for Wikipedia lookup tasks.

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, nor any exclusions or prerequisites. The intended use is only implied by the phrase 'Check whether a Wikipedia title exists', but the description never says 'use this when you need to verify page existence without fetching content' or mentions what inputs it expects.

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