ISO country SX

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

There are no annotations, so the description carries the full behavioral burden. It honestly discloses an important behavior: task text is discarded. It also mentions returning remote MCP hops, implying some remote interaction may be represented. However, it says nothing about side effects, permissions, rate limits, or whether inputs are forwarded or merely used to locate the gateway.

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 sentences and contains no filler. The main action and target are stated first, the returns are compactly enumerated, and the important caveat about discard behavior is set apart clearly. 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?

This is a 7-parameter tool with no annotations and no output schema, yet the description never explains how to choose among the parameters, whether any are required, or what the calling flow looks like. It lists return artifacts but leaves crucial invocation context to the agent, so the description is not complete enough for reliable use.

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

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

Schema description coverage is 100%, so the baseline is 3; each parameter already has a meaning and a discard note in the schema. The tool description itself adds no parameter-level semantics beyond reinforcing that task text is discarded, which is redundant with the schema notes. It does not compensate for anything missing, but nothing is missing from 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 the specific verb 'Find' and names a concrete resource: a public pay-per-call tool gateway (Monid). It also lists the artifacts returned, so an agent can tell this tool is about locating and exposing a gateway rather than fetching a page or validating a URL. It does not explicitly differentiate from sibling tools, but the domain is fairly distinct.

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, no exclusions, and names no alternatives among the many siblings such as web-fetch, normalize-url, or status-catalog. The only implicit signal is that the tool is for finding the Monid gateway, which leaves the agent to infer when this tool should be preferred.

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 disclosure burden and does reveal one important trait: no browser is launched. But it does not say whether a network request is made, whether the operation is read-only, what 'opened' actually means, or whether any other side effects or prerequisites 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 two short sentences with no filler. The primary action is front-loaded, and the second sentence gives a meaningful caveat that earns its place by correcting a likely assumption based on the tool name.

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 output schema, and no annotations, yet the description only addresses the URL case and provides no return-value contract. An agent cannot tell what a successful check looks like, which parameters are relevant, or whether the tool returns a boolean, a status, or an error message.

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%, which sets a baseline of 3. The description adds no parameter-level meaning and does not explain how the 'url' parameter relates to other params like ref, city, json, or path, nor which parameter an agent should supply for a particular intent.

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 adds a differentiating negative guarantee ('No browser is launched'), which helps distinguish it from sibling tools like playwright-url-ok. However, 'can be opened' is ambiguous—it could mean syntax validation, reachability, or browser compatibility—and the description does not acknowledge the many non-URL input parameters in the schema.

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 only usage guidance is the implied lightweight nature of the check via 'No browser is launched.' This hints at when to use it versus a real browser-launching tool, but it never explicitly states when to prefer this tool over siblings like normalize-url, fetch-status, or playwright-url-ok, nor does it provide when-not-to-use 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 must carry the behavioral burden. It discloses only that the expression is discarded, which is confusing given the 'evaluate' claim, and it never states whether a result is returned, what happens with no inputs, or how the discarded fields behave.

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, but the second sentence is a fragment that creates ambiguity rather than clarity. It is under-specified rather than efficiently concise, because it omits the parameter mapping needed to use the tool.

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

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

Given nine optional parameters, no output schema, and no annotations, the description leaves too much unknown: which parameter carries the arithmetic expression, what the tool returns, and what 'discarded' means operationally. The tool is not callable correctly from this definition alone.

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 100% parameter description coverage, so the baseline applies. The description adds no per-parameter meaning and even introduces an 'expression' concept absent from the schema; there is no value added beyond the structured parameter docs.

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 an operation, 'Evaluate a+b style arithmetic', which is a reasonably concrete verb+resource. However, the second sentence 'Expression discarded' muddles the purpose, and none of the nine schema parameters is an arithmetic expression, so an agent cannot reliably tell what input to provide.

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 choose this tool over alternatives and no exclusions. The only implied use case is arithmetic evaluation, but because the schema has no expression parameter and the description does not map behavior to any parameter, real usage guidance is effectively absent.

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. 'Public ISO 3166-1 record' implies a harmless, read-only lookup, but it does not state what the tool returns, whether it has side effects, or that all supplied inputs are ignored after validation. The schema mentions discarding values, but the description itself does not.

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 single sentence is concise and front-loaded, but it is under-specified for a tool with 9 parameters and no output schema. This is closer to under-specification than effective conciseness, as the description omits crucial operational details that should accompany a tool of this 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 output schema, no annotations, 9 optional parameters, and no guidance on how to use them, the description is far from complete. An agent cannot determine what the tool returns, which params matter, or whether calling it with no arguments is appropriate.

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 itself adds no parameter information, but each of the 9 optional parameters has a schema description explaining its role and that it is discarded. However, the description fails to explain why an ISO record tool accepts such a diverse set of parameters, leaving the relationship between params and purpose unclear.

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

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

The description identifies a specific resource: the ISO 3166-1 record for SX. This is distinguishable from siblings like iana-zones or timezone, and it clearly points to a reference lookup for Sint Maarten. However, it lacks an explicit verb such as 'returns' or 'retrieves', so it is not a full 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?

The description does not explain when to use this tool versus any alternative, nor does it mention that no parameters are required or that all inputs are optional. The schema hints that parameters are discarded, but the description gives no guidance on invocation context 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?

The description adds one useful behavioral fact beyond the schema: page content is not stored. With no annotations, though, other relevant behavior is undisclosed, such as which parameters are ignored, whether a network request happens, and error behavior. The privacy note helps but does not fully carry the burden.

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

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

Two crisp sentences with the core purpose front-loaded and the privacy qualifier second. There is no filler; 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?

For a tool with 9 optional parameters, no annotations, no output schema, and many sibling URL tools, the description is too sparse. An agent cannot determine the role of the other parameters or the full shape of the return value, which 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?

Schema description coverage is 100%, so the schema already documents all 9 parameters and the baseline of 3 applies. The description adds no additional parameter meaning and does not clarify why many irrelevant-looking parameters exist.

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 clear, specific action for a URL: return host, scheme, and HTTP status. It also adds a distinguishing privacy note. However, it does not mention the other schema parameters or compare with sibling URL tools, so it is clear but not fully differentiated.

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, normalize-url, or browser-url-ok. The 'Page content is not stored' note implies a lightweight/privacy-conscious use case, but no explicit condition or alternative is given.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It does add one useful trait—data is not retained—but it does not mention whether the tool makes network calls, whether it only inspects the supplied parameter, what side effects exist, or what the response contains. This is too thin for a tool with nine optional 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 short and front-loads the main action, with no redundant filler. However, the first sentence is too under-specified to be truly effective, so the brevity comes at the cost of clarity rather than representing tightly crafted completeness.

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 output schema, no annotations, and a large set of sibling tools, this description is not sufficient for an agent to select or invoke the tool correctly. It does not explain the classification categories, how the parameters relate to classification, or what the returned classification looks like.

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

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

Schema description coverage is 100%, so the parameters themselves are already documented. The tool description adds no additional parameter semantics beyond the schema; the baseline of 3 applies because the schema does the heavy lifting and the description does not conflict with it.

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 says the tool shows how a request is classified, which conveys a general purpose but remains vague: it never specifies what classifications exist, what inputs map to them, or how this differs from the many sibling shape/check tools. It is not a tautology, but it lacks the specific verb+resource clarity needed to distinguish 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?

There is no guidance about when to use this tool instead of siblings like validate-json, domain-shape, file-path-ok, or wiki-title-ok. The privacy note ('No identifiers are retained') hints at a use case but does not state conditions, exclusions, 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 is the only behavioral disclosure. It states the transformation and that no WHOIS/ownership lookup occurs, which is useful. It does not describe the output shape, error behavior for invalid hostnames, or that the additional schema parameters are discarded, so it is only partially 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?

One short sentence with no filler. The core operation is front-loaded and the WHOIS exclusion is efficiently appended.

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 adequate for the simple split operation but leaves gaps: there is no output schema, so the return format is unspecified, and the tool's schema includes several unrelated optional parameters whose relationship to the described behavior is unexplained. Combined with zero annotations, this is not fully complete.

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

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

Schema description coverage is 100%, so the parameter descriptions already carry the meaning; the tool description adds no parameter-level detail. The 'host' parameter is clearly labeled 'Public hostname', matching the description, but no guidance is given about which of the optional parameters 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 uses a specific verb and resource ('Split a hostname into labels') and adds a clear exclusion ('without WHOIS or ownership data'), so an agent can tell this is a syntax-only hostname tool. It does not explicitly compare with sibling shape tools, and the input schema's many unrelated optional parameters add ambiguity, so it falls just 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?

The description implies the tool should be used when hostname label splitting is needed and explicitly says it is not for WHOIS/ownership enrichment. It gives no alternatives or when-not-to-use guidance relative to siblings like normalize-url or browser-url-ok, so usage selection is left mostly 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?

No annotations are provided, so the description must carry the behavioral disclosure burden. It does disclose the HTTP method (HEAD) and that only status is returned, which is useful, but it says nothing about redirects, timeouts, return format, or the fact that many supplied parameters are described as discarded after checks, leaving actual behavior opaque for non-URL 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 one sentence, front-loaded with the action and output, and contains no filler. It is concise and easy to parse, though it would need expansion to cover the broader parameter 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?

With nine optional parameters, no required parameters, no output schema, and no annotations, a single sentence describing only the URL case is insufficient for correct invocation of non-URL inputs. It lacks parameter-selection rules, return-value details, and relationship to sibling 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?

Schema description coverage is 100%, so the baseline is 3 even without parameter details in the description. The description itself adds no semantic guidance about choosing among the nine optional parameters, but it does not need to repeat what the schema already documents.

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 ('HEAD a public URL') and a narrow output ('status only'), which is specific for that one case. However, the schema exposes nine optional parameters covering city, JSON, path, zone, and query, so the description captures only one possible invocation and leaves the tool's actual scope unclear.

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 when-to-use guidance, no exclusions, and no named alternatives such as web-fetch, browser-url-ok, or normalize-url. 'Status only' implies a lightweight check, but the agent must infer selection and cannot tell when a sibling tool should be preferred.

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, yet it only reveals that the path is discarded. It does not state whether the URL is validated against Figma's URL format, what happens on an invalid URL, or whether any network access occurs. "Path discarded" provides a process detail but obscures the behavior that matters: what survives the parse and what is returned.

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 text is efficiently front-loaded, with the verb first and zero filler words in its nine words. However, "Path discarded" is cryptic rather than illuminating, and the brevity on a 9-parameter tool is closer to under-specification than to well-calibrated conciseness. Every word earns its place, but the structure omits the outcome the agent cares about.

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 9 parameters, no annotations, and no output schema, the description leaves essential context unstated: no return-value description, no invalid-input behavior, and no explanation of the eight non-url parameters. With 28 siblings to distinguish among, an agent cannot reliably tell what a successful parse yields or when this tool beats normalize-url. The description is adequate for a guess, not for reliable tool selection.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds one useful semantic: the url parameter is specifically a Figma file URL, not an arbitrary URL. However, it does not clarify why eight unrelated parameters (city, feed, json, zone, query, etc.) are accepted or signal that they can be ignored except url.

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 ("Parse") and resource ("Figma file URL"), which is enough to set it apart from sibling shape tools like github-repo-shape and jira-key-shape by target URL type. The second sentence adds a scoping detail (path discarded), though it is cryptic about what is actually retained. Purpose is clear, but it does not explicitly contrast with normalize-url, which also processes 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?

No when-to-use guidance is provided despite 28 siblings, including closely related URL tools (normalize-url, browser-url-ok, fetch-status) and shape-checkers (github-repo-shape, jira-key-shape). The name implies Figma-only usage, but the description never states that exclusive scope, nor does it name alternatives or exclusions. An agent must infer selection 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?

No annotations are provided, so the description carries the burden of behavioral disclosure. It does add a meaningful guarantee by stating 'No disk access,' indicating a purely syntactic/safety check. Still, the description omits what the tool returns, how results are conveyed, and what 'looks safe' specifically covers.

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 key purpose and the safety qualifier are front-loaded, and every word contributes to the description's meaning.

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 the concise purpose, the tool is under-specified given its seven-parameter schema and no output schema. The description does not explain what the tool returns, how to interpret safety results, or why several parameters are present but discarded, so an agent has only partial information for a 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?

Every parameter in the input schema has a description, so schema coverage is high and the parameters are not opaque. The tool description, however, provides no parameter-level guidance, nor does it clarify that path is the relevant field while several other fields are marked 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 a specific action and resource: 'Check whether a path looks safe. No disk access.' This clearly communicates the core function and adds a useful safety qualifier. However, it does not differentiate among the many sibling *-ok tools beyond the tool name itself.

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 like browser-url-ok, wiki-title-ok, or domain-shape. The description provides no situational context, exclusions, or examples, leaving the agent to infer usage 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?

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It only mentions the external source 'Open-Meteo' but says nothing about side effects, rate limits, network dependence, or whether inputs are discarded. Some external-call behavior is implied, but very little is disclosed.

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

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

The description is one short, front-loaded sentence with no filler. However, it is concise at the cost of missing behavioral and selection guidance, so it is not maximally 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 has nine parameters, no annotations, and no output schema, but the description gives no mapping from purpose to parameters and no expected return shape. This is insufficient context for an agent to reliably select and invoke the tool.

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

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

Schema description coverage is 100%, so the baseline of 3 applies. The tool description adds only the general notion of 'a place' and does not clarify which of the nine parameters should be used, but the schema already documents each parameter in detail.

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 resource and output: latitude and longitude for a place via Open-Meteo. It lacks a finite verb and does not explicitly differentiate from siblings such as weather-hint, but the core purpose is understandable.

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, no exclusions, and no mention of prerequisites. With 27 sibling tools, the absence of usage direction makes selection harder.

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 only says 'Parse' and doesn't state that the url parameter is the meaningful input, that other parameters are discarded, what happens with invalid URLs, or what the parsed result looks like. The schema's 'discarded after' descriptions add confusion that the tool description does not resolve.

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 filler and the main action and target are front-loaded. It is concise, though it achieves conciseness by omitting parameter-selection and output details that the broader schema would benefit from.

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 required parameters, and no output schema, a one-line description is not enough for an agent to reliably invoke it. The description does not specify that url is the parameter to populate, that unrelated fields are discarded, or what the returned owner/repo data looks like.

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

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

Since schema description coverage is 100%, the baseline is 3. The description adds the useful semantic that url should be a GitHub URL, but it does not explain the role of the other eight optional parameters or clarify that they are ignored.

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'), names the output ('owner and repo'), and scopes the input to 'a GitHub URL', which clearly distinguishes it from sibling shape tools like figma-url-shape or jira-key-shape. The core purpose is unambiguous despite the schema containing many unrelated optional parameters.

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 prefer this tool over alternatives such as normalize-url, browser-url-ok, or other shape-checking siblings, and no when-not-to-use guidance. The sentence implies a GitHub URL context but does not tell the agent which parameter is relevant or what to do with non-URL inputs.

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 disclosure burden, yet it only mentions that titles are discarded. It does not say whether the tool performs a live network fetch, which parameter it actually consumes, what failure modes exist, or what the returned count looks like.

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

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

The description is two short sentences with the main action front-loaded and no filler. 'Titles discarded' is compact but somewhat cryptic; still, every word earns some 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 the simple stated purpose, the tool has nine optional params and no output schema, so the description is under-specified: an agent cannot tell what to pass, what response format to expect, or when the tool would fail. The missing link between the HN count and the unrelated schema is a critical 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?

Schema description coverage is 100%, so the baseline is 3. The tool description itself adds no parameter-level guidance and does not tell the agent which of the nine optional parameters to pass for the HN count; only 'feed' seems plausibly relevant, but that connection is left implicit.

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 concrete action ('Count') and a precise resource ('current Hacker News front-page stories'), which clearly separates it from sibling web-fetch/validation tools. 'Titles discarded' adds a useful scope detail about what is ignored.

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 the tool is for getting a current HN front-page count, but it provides no explicit when-to-use/when-not-to-use guidance and does not name alternative tools. An agent must infer that this is the right tool among the many sibling checkers.

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 not mention whether the tool is read-only, what output it produces, whether arguments are ignored, or what happens on invalid input.

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 short, but this is under-specification rather than effective conciseness. With 9 optional parameters and no verb, the brevity omits essential operational and usage details.

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 complex schema, missing annotations, and no output schema, the description is completely inadequate. An agent cannot determine what input to provide, what the tool returns, or how it relates to sibling clock and timezone 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?

Schema coverage is 100%, so the baseline is 3 even without parameter information in the description. However, the description adds no clue about which of the 9 optional parameters is the intended input, and the generic 'discarded after...' schema notes make the call shape confusing.

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 rather than a verb phrase: 'Common IANA timezone names for clock calls' restates the tool name and leaves unclear whether the tool returns a list, validates a zone, or supports a clock lookup. It also does not distinguish itself from sibling tools like timezone or 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?

There is no guidance on when to use this tool versus alternatives. The only hint is 'for clock calls,' which is too vague to be actionable. No exclusions, prerequisites, or alternative tool names 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?

With no annotations, the description carries the full burden of behavior disclosure. It does convey that the tool performs a network read of a public robots.txt and returns only group counts, but it omits error behavior, which parameter supplies the target, whether any content is retained, and any rate or time considerations.

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 output restriction ('group counts only') is included. It is concise, though the brevity leaves key invocation details unaddressed.

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 required fields, no annotations, and no output schema, this description is not sufficient for reliable invocation. The agent cannot determine which parameter to pass or what exact return structure to expect beyond 'group counts'.

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?

Though schema description coverage is 100%, the parameter descriptions are largely unrelated to robots.txt (weather hints, RSS titles, timezone, JSON validation, discarded values) and do not state which field supplies the robots.txt location. The tool description adds no parameter mapping, so the semantics are confusing.

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 ('Fetch a public robots.txt') and an exact output ('group counts only'), so an agent can tell what the tool does. It does not explicitly contrast with sibling tools, but 'group counts only' implies a narrower result than a full web fetch.

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 prefer inspect-robots over siblings like web-fetch, fetch-status, or domain-shape, nor any exclusions or prerequisites. The only contextual clue is 'public robots.txt', which weakly implies an unauthenticated fetch use case.

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 says 'Key discarded.' It does not say whether the check is local, network-free, returns a boolean, or how it handles the nine unrelated schema parameters. The word 'Key' is also confusing because no schema parameter is named 'key'.

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-loads the purpose in the first sentence. The second sentence is terse and not bloated, though its vagueness and mismatch with the schema cost it a point.

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, no annotations, and no output schema, one sparse sentence is completely inadequate. An agent cannot determine which parameter carries the Jira key, what the expected key format is, what the tool returns, or how to route among the many optional 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?

Schema description coverage is 100%, so the baseline is 3, but the description adds no parameter meaning and introduces a nonexistent 'key' field. It fails to indicate which of the nine schema properties should hold the Jira key, making the tool harder to invoke correctly rather than easier.

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: 'Check a Jira issue key shape.' This distinguishes it from sibling shape tools by naming Jira issue keys. However, the clarity is undermined because the input schema has no parameter literally named 'key', so the high-level purpose is clear but the concrete target 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 description gives no guidance on when to use this tool versus alternatives like domain-shape, github-repo-shape, or figma-url-shape. It implies a Jira-key use case but provides no exclusions, prerequisites, or comparison to sibling validation tools.

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

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

With no annotations, the description carries the full burden. It discloses only that the body is discarded, but does not state the HTTP method used, whether a real network request is made, authentication requirements, rate limits, or which input parameter actually drives the status check.

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, but it is terse to the point of omitting essential guidance. Two sentences with no wasted words is good, but the brevity sacrifices the clarity needed for a 9-parameter tool with no required fields.

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 9 optional parameters, no output schema, no annotations, and a large sibling set, the description is severely incomplete. It does not explain which parameter represents the 'library docs URL,' what the returned status means, or how to distinguish this tool from many similar URL-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?

Schema description coverage is 100%, so the schema documents every parameter, including which values are discarded. The tool description itself adds no parameter-level meaning, but the baseline of 3 applies because the schema already does the heavy lifting.

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 concrete outcome: return the HTTP status for a public library docs URL, and notes that the body is discarded. This is clear enough at a high level, though 'public library docs' is somewhat ambiguous and the description does not distinguish the tool from URL-checking 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?

No guidance is given about when to use this tool versus alternatives like fetch-status, browser-url-ok, or web-fetch. There are no exclusions, prerequisites, or conditions, so an agent must guess which sibling applies.

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 disclosure burden. It does add a useful behavioral trait by saying values are discarded, and counting implies a read-only operation. But it does not explain the return value, whether nested keys are counted, or how the many optional parameters relate to the 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 very short and free of filler; every word contributes. It is appropriately front-loaded, though the extreme brevity leaves out important operational 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?

The tool has nine optional parameters, no annotations, and no output schema, so the one-line description is not enough. It fails to state what the tool returns, how to invoke it correctly with no required parameters, and what exactly is being counted, leaving meaningful gaps for an agent.

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

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

All nine parameters have schema descriptions, so the baseline is 3. The phrase 'values discarded' adds general meaning that parameter values are not used, but the description does not clarify how ref, url, city, feed, host, json, and the other parameters map to the JSON-object keys being counted.

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: counting keys in a JSON object and discarding values. This distinguishes it from validation or shape-checking sibling tools, though it remains slightly ambiguous whether it counts keys in the invocation arguments or in a JSON string supplied through a 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?

The intended use is implied: use this tool when a key count is needed and values are irrelevant. However, there is no explicit guidance about when to choose this over sibling tools like validate-json or the various shape-check tools, and no alternatives are mentioned.

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

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

With no annotations, the description must disclose behavior itself. It does reveal that query and fragment are dropped and that the output is origin/host/path. However, it does not explain what happens when the url parameter is absent, whether extra fields are ignored, or any error/validation behavior, leaving notable gaps.

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

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

Two short sentences front-load the core behavior and the key transformation detail. No filler or redundant restatement of the tool name.

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, and no annotations, yet the description only addresses URL normalization. It does not specify return format, behavior with multiple or missing arguments, HTTPS constraints, or how this differs from the large sibling set, so the description is not complete enough 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. The description adds some meaning by indicating that the URL's query and fragment are discarded, but it does not clarify the relationship among the many unrelated schema properties (city, feed, json, zone, etc.) or identify which parameter is the primary input.

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 operation ('Return origin, host, and path') and the resource (a URL), and adds a concrete behavior (query and fragment are dropped). It does not explicitly distinguish this from sibling URL-related tools such as domain-shape or browser-url-ok, so it stops 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 on when to use normalize-url instead of alternatives like web-fetch, browser-url-ok, or domain-shape. The description implies a use case but provides no conditions, exclusions, or pointers to sibling tools.

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

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

With no annotations provided, the description carries the full disclosure burden. It reveals only that no browser is launched, but says nothing about side effects, whether a network request is made, error behavior, or how different inputs 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 only two sentences with no filler, and the key behavioral hint is front-loaded. It is concise, though the brevity leaves meaning ambiguous.

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

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

Given the tool has seven heterogeneous parameters and no output schema, a two-sentence description is insufficient. It does not explain what result is returned, how the various inputs relate to a 'URL' check, or what 'opened' means.

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 has descriptions for all seven parameters, some noting that values are 'discarded after the shape check'. The description adds no parameter-level meaning, but the schema coverage is high enough to justify a baseline 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 states a verb and resource ('Check whether a URL can be opened') and clarifies that no browser is launched, but 'can be opened' is ambiguous (reachability vs. syntactic validity) and it does not differentiate from siblings like browser-url-ok or 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 provided on when to use this tool versus alternatives. The only hint, 'No browser is launched', suggests a lightweight check, but there is no explicit comparison to sibling tools or conditions for selection.

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

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

With no annotations, the description carries the behavioral burden and does disclose one useful trait: the query is discarded, implying no persistence or side effects. However, it doesn't clarify what happens with the other eight accepted parameters 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 just two sentences and is front-loaded with the core function. It earns its place, though 'Query discarded' is slightly ambiguous and the brevity leaves out invocation details.

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, and no output schema, so the description must state both which parameter to pass and what the tool returns. It does neither explicitly, leaving an agent to guess that 'query' is the intended input and that the return value is the character count.

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 property, including 'query: Search text; discarded after the length check'. The description adds no extra semantic detail and does not explicitly identify which of the nine parameters should be supplied.

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—count characters—on a specific input resource, a search query, which matches the tool name and distinguishes it from sibling counting tools like memory-key-count. It doesn't explicitly contrast with any sibling, so it misses the top score.

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 choose this tool over alternatives or when not to use it. The phrasing only implies a length-checking use case, with no context, prerequisites, or exclusions.

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

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

With no annotations, the description carries the full burden for behavioral disclosure, but it only says 'Short catalog...' and does not state whether the call is read-only, what it returns, or how the many parameters are handled. The schema's notes about discarded values are not part of the description, and the overall behavior is opaque.

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

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

The one-sentence description is economical and front-loaded, but it is under-specified rather than usefully concise. The brevity is not appropriate given the need to explain the parameters and expected behavior.

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 annotations, and no output schema, this description is far too thin. It does not explain how any parameter relates to the catalog, what a successful response looks like, or what edge cases exist, so an agent cannot confidently invoke it.

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

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

Schema description coverage is 100%, so the schema already documents all nine parameters. The tool description adds no parameter-level meaning, but by the baseline rule for high schema coverage this is adequate, even though the parameter descriptions do not clearly relate to HTTP status codes.

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

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

The description names a specific resource—common HTTP status codes—and implies a lookup/list behavior, but it is a noun phrase rather than an explicit action and does not say what the tool does with its input. It also does not differentiate from status-related siblings such as 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?

There is no guidance about when to use this tool instead of alternatives like fetch-status or compatibility, no exclusions, and no prerequisite conditions. The intended invocation context is left entirely 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 transparency burden. It does disclose an important behavior: the prompt is discarded and the tool returns a fixed three-step template. However, it does not say whether all nine schema parameters are ignored or how the template is structured, leaving some behavioral ambiguity.

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

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

Two short, front-loaded sentences contain only necessary information: the return value and the key caveat that the prompt is discarded. No wasted words or redundant restatements.

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 non-mutating, fixed-template tool, the description plus the 100%-covered schema is borderline adequate. The main gaps are the lack of explicit guidance that the parameters are irrelevant and no description of the template's shape; an agent can still infer a reasonable invocation but with some uncertainty.

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 parameter-level semantics already exist for all nine fields; the baseline of 3 applies. The description adds no per-parameter meaning and does not clarify whether the optional parameters should be populated at all.

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

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

The description clearly states the verb and resource: it 'Return[s] a three-step thinking template.' Adding 'Prompt discarded' scopes the behavior to a fixed template and signals that input is not used. It does not explicitly connect to or exclude sibling tools, so it stops short of full differentiation.

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 the tool is for obtaining a fixed three-step template rather than processing content, and 'Prompt discarded' suggests the prompt should not be relied on. However, it never names any sibling tool or states when not to use this tool, so selection guidance remains only implicit.

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 says nothing about the output format, error behavior, or which parameter provides the timezone, and the input schema's parameters appear unrelated to timezone. The only behavioral implication is that it returns a time, but that is already in the description.

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 one-sentence description is concise and front-loaded, with no filler. It loses a point only because the brevity hides the severe mismatch between the described purpose and the input 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?

For a tool with nine parameters, no annotations, and no output schema, this description is far too incomplete. It fails to state which parameter supplies the timezone, what the response contains, or any constraints, and the unrelated parameter descriptions compound the confusion.

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 nominally high, every visible parameter (ref, url, city, feed, host, json, path) is described in terms unrelated to timezone. The description does not identify any parameter that takes an IANA timezone name, so an agent has no way to construct a correct call.

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 ('Current time') and resource ('named IANA timezone'), which distinguishes it from siblings like utc-time and iana-zones. However, it never connects the operation to any input parameter, so a caller cannot derive how to specify the timezone.

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 choose this tool over alternatives such as utc-time, iana-zones, or geo-hint. There are no exclusions or conditions, leaving the decision entirely to the agent.

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 basic behavior: it returns the current UTC timestamp. With no annotations, the description carries the transparency burden, but it does not specify the timestamp format or clarify that all 9 input parameters are effectively discarded, which leaves some behavioral ambiguity.

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

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

The description is extremely short and front-loaded with the core information. It earns its place but is terse to the point of omitting useful details like return format and parameter irrelevance.

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 9 optional parameters, no output schema, and no annotations, the description is not complete enough. An agent is left unsure whether arguments are needed, what exact timestamp format is returned, and why a UTC-time tool accepts parameters like url, json, and city.

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 already described in the schema, mostly as being discarded after a check, but the tool description itself adds no additional meaning about how or whether parameters affect the call.

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 output: the current UTC timestamp. It is not a tautology, but it does not explicitly differentiate itself from sibling time-related tools such as 'timezone' or 'iana-zones'.

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 UTC time. However, there is no explicit guidance about when not to use it or which sibling tool to prefer for related time/zone needs.

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?

There are no annotations, so the description carries the disclosure burden. It does disclose that the body is discarded, implying a non-retaining, non-mutating validation. It does not disclose return behavior, whether any external call is made, or the strictness of the JSON validation.

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, front-loaded sentences with no filler. The first sentence states the action, and the second provides a meaningful behavioral caution that 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, the description should state what the return value looks like and how the body relates to the `json` parameter; neither is present. The seven-parameter schema is not reconciled with the tool description, leaving the agent to infer which input is the actual body.

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 parameters are individually described in the input schema, so schema coverage is effectively 100% and the schema does the heavy lifting. The tool description itself adds no parameter-level meaning and does not explicitly map 'body' to the `json` parameter, though the schema description for `json` covers that.

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 ('Check') and a clear resource ('a body... valid JSON'), making the core function unambiguous. It doesn't explicitly contrast sibling validators, but the combination of the name and description is enough to distinguish it from path/URL/domain shape 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 purpose implies when to use the tool (whenever JSON validity needs to be checked), and the note that the body is discarded adds a useful caveat. However, it names no alternatives, no explicit exclusions, and no prerequisites or 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 must disclose behavioral details, but it only names the data source and basic purpose. It does not mention that this likely makes a remote network call, how unknown cities are handled, what the response format is, or that several schema parameters appear to be irrelevant or 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 a single, front-loaded sentence with no filler words. It is concise and easy to parse, though its brevity leaves important behavioral and contextual information to be handled in other dimensions.

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 nine optional parameters, no annotations, and no output schema, yet the description only covers the high-level purpose. It does not explain what parameters should be provided, what the return value looks like, how errors are surfaced, or why many other parameters are present, making it incomplete for confident 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 coverage is 100%, so the schema already documents each parameter. The description only adds the link between the city parameter and current temperature, which is useful but not substantial because the schema already describes city as a weather-hint input.

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 providing current temperature for a city via Open-Meteo, which distinguishes it from sibling hint tools like geo-hint or lib-docs-hint. It lacks an explicit verb like 'gets' or 'returns', but the intended operation is still easy to infer.

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 that this tool should be used when an agent needs the current temperature for a city, especially via Open-Meteo. However, it provides no explicit guidance on when not to use it or which sibling tool would be a better alternative, leaving the routing decision mostly 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 burden of behavioral disclosure. It does disclose that the body is discarded and that the output is HTTP status and content type, which is useful. However, it says nothing about redirects, timeouts, authorization, or the fact that many schema parameters are 'discarded after the shape check,' leaving significant behavioral gaps.

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

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

The description is very concise and front-loaded with the core function. Every sentence is purposeful. It is not a 5 because the brevity contributes to missing important contextual information, especially given the tool's 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?

This tool has 9 parameters, no annotations, and no output schema. The description only addresses the URL case, leaving the behavior for the other 8 parameters unexplained at the description level. There is also no detail about return format, error conditions, or edge cases, making it insufficient for an agent to reliably select and invoke the tool.

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

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

Schema description coverage is 100%, so every parameter is already documented in the schema. The description adds no meaningful parameter-level meaning and does not clarify that `url` is the primary input; it even omits the other accepted parameter kinds. The baseline of 3 applies because the schema carries the full parameter burden.

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: HTTP status and content type for a public URL, and adds a key constraint ('Body discarded'). However, it does not differentiate from sibling tools like fetch-status or browser-url-ok, and it omits the broader set of inputs described in the schema (city, feed, json, timezone, etc.), so it only partially captures the full purpose.

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. It does not mention fetch-status, normalize-url, or other siblings, and provides no conditions, prerequisites, or exclusions. An agent must infer usage from the schema and name.

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?

Annotations already declare readOnlyHint, destructiveHint=false, idempotenceHint, and safe=true, so the safety profile is covered. The description's note that the title is discarded adds a modest retention/privacy detail but doesn't explain what 'discarded' means in practice or what output the caller receives. It does not contradict the annotations.

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-loads the core purpose in a single sentence. The second sentence adds a behavioral note with little waste. It is under-specified in content, but structurally it is concise rather than padded.

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 checker tool with seven generic parameters and no output schema, the description is far too thin. It leaves unclear whether the result is a boolean, an HTTP status, a normalized value, or something else, and it gives no hint about which parameter is the title. Critical context needed for invocation 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 description coverage is 0%, so the description should compensate by explaining how parameters relate to the tool's purpose. It does not, and it is actively misleading: the description refers to a 'title' while the input schema contains no title field—only ref, url, city, feed, host, json, and path. An agent cannot determine what value to pass for the Wikipedia title.

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: check whether a Wikipedia title exists. This distinguishes it from sibling shape/URL/file validators at a high level. However, it does not say how the title is supplied, and the input schema contains no title parameter, so the stated purpose is not directly operationalizable.

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 checkers, when not to use it, or what specific conditions select it. The description gives a purpose but no context for tool selection.

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