ISO country NP

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

With no annotations, the description carries the transparency burden, but it does disclose that task text is discarded, that the operation is a find/return operation, and that the gateway is public and pay-per-call. It does not clarify whether invoking it incurs cost, what remote calls are made, or what failure behavior looks like, leaving some ambiguity about 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, front-loaded sentences state the action, outputs, and a key privacy behavior with no filler. Every sentence adds information, and the description is appropriately sized for a lookup/index 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?

The tool exposes nine optional parameters and has no output schema or annotations, yet the description does not explain what the parameters are for, whether any should be supplied together, or what the returned artifacts look like. The list of return items is helpful, but an agent does not have enough context to invoke the tool correctly.

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

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

Schema description coverage is 100%, so the baseline is 3 and the description does not need to restate each parameter. It adds little beyond the schema: 'Task text discarded' is a behavioral note, not a parameter explanation, and there is no guidance on which of the nine optional parameters to populate.

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

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

The description names a specific action ('Find') and resource ('public pay-per-call tool gateway (Monid)'), and lists the returned artifacts: CLI setup, how-it-works, skill file, and remote MCP hops. It does not explicitly contrast with siblings, but the returned content is distinct from utilities like web-fetch or validate-json. The unfamiliar term 'Monid' creates only minor ambiguity.

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

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

No guidance is given about when to use this tool over any of the sibling tools. There are no conditions, exclusions, or alternative-tool pointers, so an agent must infer from purpose alone when this index should be consulted.

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

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

With no annotations, the description carries the behavioral disclosure burden. It usefully states that no browser is launched, but it gives no indication of whether network access occurs, whether results are cached, or what the return value signifies, leaving material 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 compact and front-loads the core action before the key caveat. It has no filler, though it is arguably too terse relative to the seven heterogeneous input parameters.

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 7 diverse parameters, no annotations, and no output schema, so the description needs to explain which parameter to pass and what 'ok' means. It does neither, mentioning only that no browser is launched.

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% because each parameter has a description, so the baseline is 3. The tool description adds no parameter-level meaning and even conflicts with the url parameter's 'normalize or cite' wording, but the schema itself documents the parameters.

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

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

States a specific action ('check whether a URL can be opened') and resource (URL), and the second sentence adds a useful distinction by clarifying that no browser is launched. However, it does not explicitly name an alternative like playwright-url-ok, and the schema's extra non-URL parameters make the declared single purpose feel inconsistent.

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

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

No explicit guidance on when to choose this tool over siblings. 'No browser is launched' implies a lightweight check, but it never names playwright-url-ok or states the conditions for using one rather than the other, leaving tool selection 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 present, so the description carries the full burden of disclosing behavior. The only behavioral detail is 'Expression discarded,' but the description does not explain return values, side effects, error behavior, or whether evaluation produces any observable result. This is insufficient for a tool with no annotation support.

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

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

The description is only one sentence and contains no filler, so it is concise and front-loaded. However, wording like 'a+b style' and 'Expression discarded' is terse to the point of ambiguity, preventing a higher score.

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

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

With nine optional parameters, no annotations, and no output schema, the description must explain how to invoke the tool correctly: which parameter receives the expression, what the result looks like, and what 'discarded' means. None of that is provided, so the tool is not reliably callable from the description 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 describes all parameters with 100% coverage, but none of those parameters is described as an arithmetic expression. The description says to evaluate 'a+b style arithmetic' without stating which of the nine parameters should contain the expression, so an agent cannot map the tool's purpose to the available inputs. The description adds no parameter-level clarity and actually creates a disconnect.

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: 'Evaluate a+b style arithmetic.' This distinguishes it from sibling validation tools, none of which claim arithmetic evaluation. However, the phrase 'Expression discarded' muddles the purpose: if the expression is discarded, it is unclear what the tool returns or whether it actually computes anything, leaving the core function 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?

There is no guidance about when to use this tool versus any of the 27 siblings, nor when not to use it. No alternatives, conditions, or prerequisites are mentioned. An agent must guess what input would trigger arithmetic evaluation.

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 disclosure burden. It does reveal one meaningful behavioral trait: 'Page content is not stored.' It also states the output fields. However, it omits other useful behavioral details such as redirect handling, validation behavior, failure modes, or any network/privacy implications beyond page content storage.

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 primary output is stated first, and the important side-effect note is second. Every word earns its place.

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

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

Given the unusual nine-parameter schema and the presence of many similarly named sibling tools, the description is not complete enough. It does not explain why so many unrelated parameters exist, which parameter is actually required for the described behavior, or how this tool differs from fetch-status and normalize-url. The lack of an output schema also makes the minimal return-field list important, but it is not expanded with examples or edge cases.

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

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

Schema description coverage is 100%, so the baseline is 3. The description does not add meaningful parameter guidance beyond the schema; it only mentions 'URL,' which is already covered by the url parameter description. It does not help clarify the role of the many seemingly unrelated optional parameters.

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

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

The description states a specific action and output: 'Return host, scheme, and HTTP status for a URL.' This clearly identifies the resource and result. It does not explicitly distinguish it from siblings like fetch-status or normalize-url, 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?

No usage context is provided. There is no guidance on when to prefer this tool over fetch-status, normalize-url, browser-url-ok, or other sibling tools. 'Page content is not stored' hints at a privacy-relevant use case, but it is not developed into concrete when-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?

The description adds one meaningful behavioral fact: 'No identifiers are retained.' With no annotations present, this privacy disclosure is helpful. However, it does not disclose whether the tool performs external calls, whether it is purely in-memory, what side effects might occur, or what the returned classification behavior is.

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, front-loaded, and has no filler words, which is good for conciseness. But a two-sentence description is under-specified for a tool with nine optional parameters and an unclear output. It is concise without being appropriately sized for the tool's complexity.

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

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

There is no output schema, so the description needs to explain what the classification result looks like, but it only says 'Show how this request is classified.' The description also does not explain which parameters should be supplied, whether multiple inputs are expected, or how classification relates to the sibling tools. For a nine-parameter tool with no output schema, this is critically incomplete.

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

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

The input schema has 100% parameter description coverage, so the baseline is 3. The tool description itself adds no parameter-level meaning beyond the schema's per-field notes and the general 'no identifiers retained' statement. The schema already does the heavy lifting, so no deduction is needed, but the description also provides no extra semantic value.

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

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

The description names a verb and a resource: 'Show how this request is classified.' However, 'classified' is left undefined—there is no mention of what classification categories, labels, or output the agent should expect. It also does not distinguish this tool from specialized siblings like validate-json or normalize-url, so the purpose remains vague.

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

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

There is no guidance on when to use this tool versus any of the 27 sibling tools. The sentence 'Show how this request is classified' implies some kind of routing or categorization, but no conditions, exclusions, or scenarios are provided. An agent would have to guess whether compatibility is appropriate or whether a specific sibling tool should be called instead.

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

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

With no annotations, the description must carry the safety and behavior burden. It does disclose that no WHOIS or ownership data is fetched, which implies a local parse, but it does not describe output format, handling of invalid hostnames, lowercasing, label order, or network behavior.

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

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

One sentence, front-loaded with the action, with no filler or repeated schema content. The exclusion of WHOIS/ownership is the only necessary clarification and it earns its place.

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

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

For a tool with no output schema, no annotations, and a nine-parameter optional schema, a one-sentence description is incomplete: it does not say what 'labels' means as a return value, whether the split is reversible/ordered, or how to handle invalid inputs. The mismatch between the narrow description and the broad schema also leaves invocation ambiguities.

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; each parameter has its own description, and the 'host' property clearly maps to the hostname in the tool description. The description adds no extra parameter-level detail and does not explicitly tell the agent to pass 'host' among the eight other optional fields.

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 direct action ('split a hostname into labels') and a specific resource, making the tool's core purpose obvious. The caveat 'without WHOIS or ownership data' also separates it from domain-information tools and clarifies the scope.

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 a clear context: use it when you need a hostname split into labels, not ownership/WHOIS enrichment. It does not name explicit sibling alternatives, but the exclusion of WHOIS/ownership is a useful when-not signal.

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

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

With no annotations, the description carries the behavioral burden. It does disclose the key behavioral trait: the tool performs a HEAD request and returns only the status, not body content. But it omits other relevant behavior such as redirect handling, timeouts, error behavior, or what exactly 'status' means, 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?

The description is a single front-loaded sentence with no filler: 'HEAD a public URL and return status only.' It is efficiently written, though it is so brief that it skips important usage and parameter guidance; this is under-specification rather than ideal conciseness.

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

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

Given the nine-parameter schema, no output schema, no annotations, and a large sibling set, the description is incomplete. It never explains the return format, how the optional parameters aside from `url` relate to the tool, or why a URL-only tool accepts parameters like `city`, `ref`, `json`, and `query`. An agent would struggle to invoke this correctly in non-obvious cases.

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 no parameter-level meaning and, in particular, does not specify that the `url` parameter is the one to use, despite the schema containing eight other optional parameters. The schema descriptions themselves are informative, but the tool description does not clarify which parameter drives the HEAD request.

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 ('HEAD'), a resource ('a public URL'), and an explicit outcome ('return status only'), so an agent can tell this is a lightweight HTTP status check. It does not explicitly differentiate itself from sibling tools like browser-url-ok or playwright-url-ok, which also check URL availability, so it is clear but not fully 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 implies when to use the tool: when you need only the HTTP status of a public URL and not the content. However, it gives no explicit when-not-to-use guidance and names no alternative tools, so usage context is only implied rather than stated.

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

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

With no annotations, the description carries the full burden of explaining behavior, but it only says 'Path discarded.' It does not disclose what parsing or shape validation actually does, whether any network access occurs, what the return value looks like, or what happens when the URL is invalid. Some behavior is disclosed, but too little for a tool with this complexity.

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 puts the primary purpose first. It is efficient and free of filler, though it is arguably too terse for the tool's complexity. As pure conciseness, it earns a strong score.

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

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

Given nine parameters, no output schema, and no annotations, the description is not complete enough for an agent to reliably select the correct input field or understand the tool's behavior. It does not explain which parameter is the operative one, what the tool returns, or what validation is performed, leaving too much to inference.

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

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

Schema description coverage is 100%, so all nine parameters are already individually documented. The description adds minimal value by clarifying that the URL is a Figma URL and that the path is discarded, though this partially duplicates the schema's path description. Baseline 3 is appropriate because the schema 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 specific verb and resource: 'Parse a Figma file URL.' This clearly indicates the tool's scope and sets it apart from generic URL tools by naming Figma specifically. However, it does not explicitly distinguish itself from sibling shape-checking tools like github-repo-shape or jira-key-shape, 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 about when to use this tool versus alternatives such as normalize-url, web-fetch, or browser-url-ok. The description implies use for Figma URLs but provides no exclusions, no prerequisites, and no context for choosing it over other 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?

With no annotations provided, the description carries the full burden of disclosing behavior. It does add one useful behavioral trait: 'No disk access,' which reassures agents that this is a lightweight shape check with no filesystem side effects. However, it does not explain what the tool returns, whether it performs network access, or what 'looks safe' means, leaving significant behavioral ambiguity.

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

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

The description is extremely concise with no filler words. Each sentence earns its place: the first states the core purpose, and the second adds a relevant safety guarantee. It is not bloated, though it may be too brief for the apparent scope of 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?

The tool has a complex schema with nine parameters and no output schema or annotations, yet the description only covers the 'path' concept and the no-disk-access behavior. It does not explain the return format, which parameter to use for a given intent, or how to interpret 'safe.' This is insufficient for an agent to reliably select and invoke the tool across its full input variety.

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 parameters in detail. The description adds no parameter-level meaning beyond mentioning 'a path,' which matches the existing path property but also conflicts with the broad set of other parameters. Since the schema carries the parameter documentation burden, 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 states a specific action and resource: checking whether a path looks safe. However, 'safe' is vague, and the input schema lists many unrelated parameters (ref, url, city, feed, host, json, zone, query), so the description does not fully disambiguate what the tool actually operates on. It also does not explicitly distinguish this from sibling tools like browser-url-ok or wiki-title-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 versus alternatives such as browser-url-ok, playwright-url-ok, or normalize-url. The only hint is 'No disk access,' which implies it is a safe read-only check, but no explicit when-to-use or when-not-to-use context is provided.

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

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

With no annotations, the description carries the full burden of disclosing behavior. It mentions Open-Meteo as an external source but does not clarify that most of the nine input parameters appear to be discarded after shape checks, nor does it describe output format, side effects, or failure modes.

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 short, front-loaded phrase with no wasted words. It is concise, though the lack of a verb and the omission of any operational detail make it feel more like a fragment than a complete tool guide.

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 incomplete. An agent cannot determine which parameter to pass or what response to expect, and the relationship between the description and the schema's 'discarded' semantics is not explained.

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 little beyond the schema: 'a place' is vague against the nine optional parameters, and no parameter is mapped to that concept. The parameter descriptions themselves are informative, but the tool description does not build on 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 communicates the tool's output—latitude and longitude—and its source, Open-Meteo. It is not a tautology and gives a recognizable purpose, though it lacks an explicit verb and does not distinguish itself from siblings 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?

There is no guidance on when to use this tool versus alternatives, what inputs are appropriate, or what prerequisites exist. The description offers only a bare purpose statement.

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, but it only states the parsing operation. It does not mention failure behavior for invalid GitHub URLs, whether any network activity occurs, what the parsed result looks like, or that many of the nine schema parameters are ignored/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?

One short, front-loaded sentence with no filler, similar to an efficient tool summary. It earns its place, though it is so terse that it delegates context to the schema and 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?

Despite a nine-parameter schema, no annotations, and no output schema, the description fails to specify the required input parameter, the return format, or edge-case behavior. An agent cannot confidently know how to invoke this tool or interpret its result beyond a general expectation of owner/repo parsing.

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 met without additional parameter documentation. The description adds value by indicating the url parameter should reference a GitHub repository and that owner/repo are the meaningful results, but it does not map inputs or clarify why the other eight unrelated 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?

The description names a specific verb ('Parse'), the resource ('owner and repo'), and the source ('a GitHub URL'). This clearly distinguishes the tool from sibling shape tools such as jira-key-shape, domain-shape, and figma-url-shape, which target different input formats.

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 or when-not-to-use guidance. It does not explain whether this tool should be preferred over normalize-url, browser-url-ok, or web-fetch for URL-related tasks, leaving selection to inference 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?

With no annotations, the description carries the burden of behavioral disclosure. It states that the count is based on current front-page stories and that titles are not returned, but it does not mention network dependency, failure modes, or response shape.

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, front-loads the primary action, and every phrase earns its place. It is minimal without being cryptic.

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 no-required-parameter tool, the description adequately conveys that a bare call produces a count and that titles are omitted. However, the presence of many unrelated optional parameters and the absence of an output schema leave some ambiguity about response format and whether any parameter affects the result.

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 tool description does not need to restate them. The description adds no parameter-specific guidance, but the schema's optional flags and 'discarded' notes largely cover the 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 names a specific action ('Count') and a specific resource ('current Hacker News front-page stories'), making the tool's purpose immediately clear. It is distinct from sibling tools like web-fetch or normalize-url.

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

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

The description gives clear context: this is for counting the current HN front page, and the 'Titles discarded' clause explicitly signals that title retrieval is out of scope. It does not name alternative sibling tools, so it stops short of full routing 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 provided, so the description carries the full burden of behavioral disclosure. It only names the content (common IANA timezone names) and does not disclose return shape, side effects, invocation requirements, or relationship to clock-call tools.

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 or repetition. It is concise and cleanly structured, though the brevity crosses into under-specification because important behavioral and usage context is missing.

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 definition should explain what the tool returns and how to invoke it. It does not reconcile the timezone-name description with the generic input schema, leaving an agent unable to tell whether parameters are needed or what kind of response to expect.

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 meaning. However, the schema exposes generic optional fields (ref, url, city, feed, host, json, path) that do not visibly relate to an IANA timezone lookup, making the schema coverage less useful than it initially appears.

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 resource (IANA timezone names) and a context clue (clock calls), but it has no verb, so it does not state whether the tool lists, validates, or returns these names. It also does not meaningfully 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?

No explicit guidance is given about when to use this tool instead of alternatives. 'For clock calls' hints at a use context, but it is not a clear directive and there are no exclusions or alternative tool references.

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 says the tool performs a read-only network fetch and deliberately returns only group counts, which is useful behavioral information. However, with no annotations at all, it does not clarify behavior for missing robots.txt, invalid URLs, network failures, or the fact that several schema parameters appear unrelated and may be ignored.

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 it is too sparse to carry the full burden of parameter selection and edge-case 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?

With no output schema, no annotations, nine optional parameters, and no required parameters, the description is not complete enough for reliable invocation. It does not define what 'group counts' structurally means, how to choose the target URL/host, or what happens when robots.txt is absent or invalid.

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

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

Although schema description coverage is 100%, the parameter descriptions are generic and do not map clearly to robots.txt. The tool description never explains that 'url' or 'host' is the intended target, and many parameters are described as being discarded, leaving an agent to guess which input actually controls the fetch.

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

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

The description names a specific action and resource: fetch a public robots.txt and return group counts only. This is more specific than generic fetching tools like web-fetch, though it does not state which input parameter identifies the robots.txt location.

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 explicit guidance on when to use this tool versus sibling tools such as web-fetch, fetch-status, or normalize-url. The intended use is only implied by the tool name and the mention of robots.txt, which is not enough with so many similar-looking siblings.

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

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

No annotations are provided, so the description carries the full behavioral burden. It only adds 'Key discarded,' which hints at non-retention, but it omits the return format, error behavior, validation rules, and whether the check is purely synchronous. This is minimal disclosure for a tool with no annotation support.

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

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

The description is short and front-loaded, with the purpose in the first clause and the side-effect note in a compact second sentence. There is no filler, though the extreme terseness contributes to the lack of operational guidance.

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 mismatched parameter schema, this description is inadequate. It fails to identify the required input, the expected result, or how it differs from sibling validators, so an agent would be guessing at both invocation and interpretation.

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 lists nine optional parameters, but none is labeled as the Jira key, and the description does not map 'key' to any of them. An agent cannot determine which parameter to populate for the stated purpose. Schema coverage is high, but the schema appears disconnected from the tool's description.

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

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

The description names a concrete verb and resource: 'Check a Jira issue key shape.' This distinguishes it from sibling shape tools such as domain-shape or github-repo-shape. It is slightly weakened by not explaining what 'shape' means or what the tool returns, but the core purpose is identifiable.

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

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

There is no guidance about when to use this tool versus the many sibling shape-checking tools, nor any exclusions, prerequisites, or examples. An agent must infer usage entirely from the name and minimal description.

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

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

With no annotations, the description carries the full behavioral burden. It does disclose that the body is discarded, which is useful, but it omits other important traits: whether a real network request is made, how redirects or errors are surfaced, and that most schema parameters are ignored after shape checks. The output is only described as 'HTTP status' without clarifying format.

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

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

The description is only two short sentences with no filler, and the key idea 'HTTP status' is front-loaded. 'Body discarded' is a useful secondary fact. It is concise as prose, even though it is under-specified relative to 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?

For a tool with nine optional parameters, no output schema, no annotations, and many overlapping siblings, this description is far from complete. It does not specify the return shape, the meaningful argument, or how this tool relates to fetch-status, web-fetch, or browser-url-ok.

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-level meaning and actually conflicts with the schema. It refers to a 'public library docs URL' while the `url` parameter is described as an 'HTTPS URL to normalize or cite', and every other parameter is marked discarded. An agent cannot reliably determine which parameter is the intended 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 conveys that the tool returns an HTTP status and discards the body, but it is a noun phrase rather than a clear verb+resource statement. 'Public library docs URL' is ambiguous and does not map cleanly to the schema's generic `url` parameter, nor does it distinguish this tool from siblings like fetch-status or 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 use this tool versus alternatives. There are no sibling mentions, no exclusions, and no indication which of the nine optional parameters should be supplied. 'Body discarded' hints that it is for status-only checks, but the selection criteria are never explicit.

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

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

With no annotations, the description carries the transparency burden. It does disclose that values are discarded, which is a meaningful behavioral detail. However, it does not say whether nested keys are counted, how malformed JSON is handled, or whether the operation is read-only beyond the implication of counting.

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 verb front-loaded. Every word contributes, and there is no redundant or filler content.

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

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

For a tool with nine optional parameters, no annotations, and no output schema, this description is not complete enough for reliable invocation. The agent cannot determine which parameter supplies the JSON object, and the mismatch between the tool description and the 'json' parameter description leaves a significant 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 coverage is 100%, which usually sets a baseline of 3, but the description adds no parameter mapping. The schema's only JSON-related parameter, 'json', is described as 'JSON text to validate', which conflicts with the counting purpose and leaves the agent unsure which of the nine optional fields is the actual 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 operation: count keys in a JSON object. The phrase 'Values discarded' adds useful contrast with tools like validate-json, but it does not explicitly distinguish itself from sibling tools by 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 explicit when-to-use or when-not-to-use guidance. The description implies the tool is for counting keys, but it never mentions alternatives or conditions under which another tool like validate-json would 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 behavioral burden. It discloses that query and fragment are dropped, but it does not clarify normalization rules, whether the URL is fetched, or how invalid/missing 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?

Two short, front-loaded sentences with no filler. Every word contributes to the core 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?

The description is too sparse for a tool with nine optional parameters and no output schema. It never states that url is effectively required, what happens when other parameters are provided, or the return structure, leaving room for incorrect calls.

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 parameters. The description adds little beyond the url behavior and does not explain the role of the other eight optional parameters or their discarded nature.

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 ('Return') and identifies the resource ('a URL') and the exact output fields ('origin, host, and path'). It also states that query and fragment are dropped, helping distinguish it from fetch/validate-style sibling tools.

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

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

The description implies the tool is for extracting URL components, but it does not explicitly state when to use it versus alternatives like browser-url-ok or fetch-status. The usage is inferable but not directly guided.

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 full burden of behavioral disclosure. It discloses one important trait: no browser is launched. But it does not explain what 'can be opened' means, what the tool returns, whether any network access occurs, or how the other schema parameters relate to the 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 concise: two short sentences with no filler. The key caveat 'No browser is launched' is front-loaded and earns its place. It is under-specified for the tool's complexity, but as a concise statement it is 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?

With no output schema and no annotations, the description is too sparse to be contextually complete. It does not explain return values, error cases, what inputs are valid, or how this tool relates to the many sibling tools. The single behavioral clarification helps, but significant context 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 100%, so the baseline is 3. The description adds no parameter-level meaning beyond identifying URL as the central resource. It neither improves nor substantially harms parameter understanding, though it could mislead by suggesting only the 'url' parameter matters while nine optional 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?

The description clearly states the verb and resource: 'Check whether a URL can be opened.' It is not a tautology and adds a useful clarifying detail with 'No browser is launched.' However, it does not explicitly distinguish this tool from sibling tools like browser-url-ok or fetch-status, 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?

No guidance is provided about when to use this tool versus alternatives. The sentence 'No browser is launched' implies a lightweight or non-browser check, but it never names alternatives or conditions for selection. With many sibling tools, an agent would struggle to choose this one confidently.

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, and it discloses only that the query is discarded. It does not state what is returned, how empty or missing queries behave, or that the other eight schema parameters appear irrelevant, leaving important behavioral gaps for an agent invoking the tool.

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

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

Two short front-loaded sentences with no filler. Each sentence adds information: the operation and the disposal 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?

Despite a 9-parameter optional schema, zero required parameters, no output schema, and no annotations, the description does not specify the return format, the relevant parameter, or behavior for missing input. It is minimally usable but incomplete 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%, and the 'query' property is explicitly described as 'Search text; discarded after the length check', so the schema does most of the work. The tool description adds no further mapping and fails to warn that the other eight optional parameters are likely irrelevant, but it does not contradict 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 operation ('Count characters') on a specific resource ('a search query') and notes the input is discarded, which distinguishes it from the many shape-check and fetch siblings by its counting intent. It is slightly ambiguous which of the nine schema parameters counts as the search query, but the 'query' property description aligns with 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 on when to choose this tool over siblings such as memory-key-count, hn-front-count, or validate-json, and no exclusions or prerequisites. The intended use is only implied by the name and one-line description.

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

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

With no annotations, the description carries the full burden, but it only says the tool is a 'short catalog.' It does not disclose whether the tool is read-only, what its output looks like, how it processes inputs, or why parameters are 'discarded after the call.'

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

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

The description is short but under-specified rather than efficiently informative. It is a noun phrase rather than a useful instruction, so the brevity is not a strength.

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 seven unrelated-looking parameters, no output schema, no annotations, and a one-line description, the definition is far too incomplete for an agent to know what to pass or what to expect back.

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

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

All seven parameters have individual schema descriptions, so schema coverage is high and the baseline is 3. The tool description adds no parameter-level meaning, and the schema descriptions do not explain how these varied inputs relate to an HTTP status code catalog.

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 essentially a restatement of the tool name: 'status-catalog' becomes 'catalog of common HTTP status codes.' It names the resource but provides no action verb, operation, or differentiation from siblings 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?

There is no guidance about when to use this tool versus alternatives such as fetch-status or domain-shape. No use cases, exclusions, or routing hints are given.

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

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

With no annotations, the description carries the behavioral burden, and it does disclose that the prompt is discarded, which is a useful trait. However, it does not say whether the nine schema parameters are also ignored, whether the call is free of side effects, or what happens if arguments 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, front-loads the main function, and each sentence earns its place: one states the deliverable, one discloses an important behavior. There is no filler or repetition.

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 are no annotations and no output schema, yet the description never explains the three steps or shows an example call, and the large 9-parameter input schema is left unexplained and appears to conflict with 'Prompt discarded.' For a tool with this schema richness, the description is too thin for an agent to invoke with confidence.

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% and all parameters are optional, so the baseline applies; the description adds only 'Prompt discarded,' which is more about the prompt than the nine listed parameters. The description does not reconcile why think-steps exposes parameters for ref/url/city/etc. if the prompt is discarded, leaving the agent unsure whether any argument is meaningful.

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 clear verb and object ('Return a three-step thinking template') and adds that the prompt is discarded, which clarifies it is not a prompt-processing tool. It is distinct from the sibling tools by its deliverable, though it never says what the template is for, 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 explicit statement of when to call this tool versus a sibling, and no 'when not to use' guidance beyond the terse 'Prompt discarded.' The intended trigger—user wants a three-step thinking template—is only implied by the name and return value, not stated.

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

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

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only lookup based on 'Current time,' but it does not disclose invalid timezone handling, return format, or how the timezone is actually supplied. This is a purpose statement rather than a behavioral contract.

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

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

The description is a single concise, front-loaded sentence with no filler. It is efficient, though it is arguably under-specified for a tool with a disconnected 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 parameter list unrelated to the stated purpose, the description is too sparse to make the tool safely callable. It omits input requirements, return value shape, and error behavior.

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 per-field descriptions and high coverage, none of the listed parameters (ref, url, city, feed, host, json, path) corresponds to an IANA timezone. The tool description does not map 'named IANA timezone' to any parameter, so an agent cannot determine which argument to populate.

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

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

The phrase 'Current time in a named IANA timezone' clearly conveys what the tool does and adds specificity beyond the bare tool name. It also roughly distinguishes itself from siblings like utc-time and iana-zones, though it does not explicitly frame itself as a command.

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 utc-time or iana-zones. No exclusions, prerequisites, or routing hints are provided; the intended usage is only implied by the one-line purpose.

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 full burden of behavioral disclosure. It only states that the tool returns the current UTC timestamp, but does not disclose that all listed input parameters are discarded/ignored, nor any details about format, precision, or error behavior.

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

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

The description is a single, front-loaded phrase with zero filler. For a simple tool, it is appropriately economical and every word contributes 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?

The tool appears simple, but the input schema includes many irrelevant parameters that are not explained in the description. An agent is left uncertain whether it can call the tool with no arguments or must supply some of these fields. The description fails to resolve this mismatch, so the context is incomplete.

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

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

All parameters have schema descriptions, so the baseline is 3. The description adds no parameter-level meaning, and the schema lists many unrelated-looking fields (ref, url, city, etc.) with notes that they are discarded. Since the schema itself explains the parameters, the description's silence is not penalized below baseline.

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

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

The description 'Current UTC timestamp' clearly states the tool returns the current UTC timestamp, which directly matches the tool name and conveys a specific, observable outcome. It does not explicitly differentiate from sibling tools like 'timezone' or 'iana-zones', but the phrase 'UTC timestamp' is specific enough to avoid major ambiguity.

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

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

No guidance is provided on when to use this tool versus alternatives such as 'timezone' or 'iana-zones'. There is no mention that the tool requires no parameters, nor any exclusions or prerequisites, leaving the agent to infer usage.

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 behavioral transparency burden. It discloses a useful trait—the body is discarded—but it does not state what the tool returns, whether it is strictly read-only, or how invalid JSON is surfaced. This is a meaningful gap for a validation tool.

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

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

The description is two short sentences, with the primary purpose first and a useful behavioral note second. Every word contributes, and there is no redundant restating 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?

Although the stated purpose is simple, the schema has seven input fields and no output schema. The description does not identify which field carries the JSON body, whether fields are required or mutually exclusive, or what a caller should expect as a result. An agent cannot confidently invoke it correctly without additional information.

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 the baseline is 3. The description adds little beyond saying the body is discarded, and it does not clarify how the 'body' relates to the several parameters, especially 'json'.

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: 'Check whether a body is valid JSON.' This distinguishes it from sibling shape/validation tools that target URLs, paths, keys, or titles. However, the term 'body' is not explicitly mapped to the 'json' input parameter, leaving minor ambiguity about what exactly should be passed.

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 validating JSON, but it gives no guidance about when to prefer this over sibling validators, nor does it mention exclusions or alternatives. It is adequate as an implied usage statement but does not actively route 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?

No annotations are provided, so the description carries the full burden of disclosing behavior. It only mentions the external data source Open-Meteo, but does not state that the operation is read-only, stateless, or what happens with invalid cities. The schema's repeated 'discarded after the call' notes are not reflected in the description, leaving behavioral expectations unclear.

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, though it errs on the side of under-specification rather than achieving an optimal balance of brevity and necessary detail.

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

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

The tool has 9 optional parameters, no output schema, and no annotations, yet the description only covers the basic purpose. It does not explain which parameters to supply, what the response looks like, or how the discard behavior works, leaving significant gaps for an agent attempting to invoke it correctly.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds slight value by indicating 'city' is the key parameter, but it does not explain the role of the other eight parameters or why they appear in the schema. This is adequate but not compensatory.

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 purpose: returning current temperature for a city via Open-Meteo. It is specific enough to distinguish from sibling tools like geo-hint or lib-docs-hint, though it lacks an explicit verb such as 'get' or 'retrieve'.

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 should be used when current city temperature is needed, which is useful context. However, it gives no explicit guidance on when not to use it or how it compares to alternatives, and it does not clarify which of the 9 schema parameters are relevant.

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

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

With no annotations provided, the description carries the behavioral transparency burden. It usefully discloses the key behavior that the body is discarded and the main outputs, but it does not mention network side effects, redirect behavior, or the fact that many of the input fields are discarded after shape checks.

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

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

The description is extremely concise: two short sentences, front-loaded with the core purpose and followed by the key behavioral caveat. There is no filler, and 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?

The tool has 9 optional parameters, no annotations, no output schema, and many closely related sibling tools, but the description does not explain how the parameters relate to the stated URL-fetch behavior or why fields like ref, city, json, and zone exist. An agent would likely be confused about what to pass and when to choose this tool over fetch-status.

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 little parameter-specific meaning beyond 'public URL', and it does not reconcile the URL-focused narrative with the many non-URL parameters like city, json, zone, and 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 clearly states the tool's core output: HTTP status and content type for a public URL, and it explicitly notes that the body is discarded. This distinguishes it from a general fetch tool, though it does not explicitly differentiate it from closely related siblings 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?

The 'public URL' wording implies when the tool should be used, and 'Body discarded' implies it is not for retrieving page content. However, it provides no explicit guidance about alternatives or when not to use this tool, especially given overlapping siblings such as fetch-status, normalize-url, and 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?

The description adds a useful data-handling detail beyond the annotations: 'Title discarded after the call.' This gives the agent some privacy/state context. However, it does not explain error behavior, response semantics, or why readOnlyHint is false for what appears to be a read-only 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 concise, with the main purpose front-loaded and a short behavioral note in the second sentence. There is no filler, though the lack of parameter mapping is a substantive gap rather than a style issue.

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 definition is incomplete for correct invocation: the description promises a Wikipedia-title check, but the schema offers no title input and the other parameters appear unrelated. Even with the output schema indicating a boolean result, an agent cannot reliably construct a valid 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?

The schema exposes parameters like ref, url, city, feed, host, json, and path, but none of them is a Wikipedia title. The description never maps the word 'title' to any schema property, so an agent cannot determine what input to provide. Schema description coverage is only 50%, and the description does not compensate for the missing title parameter.

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

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

The description states a clear action and resource: 'Check whether a Wikipedia title exists.' It aligns with the tool name and is understandable on its own. However, it does not distinguish this tool from sibling check-style tools, and the input schema makes it unclear which parameter represents the title.

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, web-fetch, or normalize-url. The description only states the action without any context about prerequisites, exclusions, or preferred scenarios.

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