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

With no annotations, the description must carry behavioral transparency, but it only says returns connection methods and discards task text; no side effects, network use, cost, or error behavior 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 text is short and front-loaded with the main purpose; no redundant wording.

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

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

The tool has 9 parameters and no output schema, but the description does not explain how to use the parameters, what a connection method looks like, or what outputs 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?

Despite 100% schema coverage, the parameter descriptions are confusing—most values are said to be discarded after shape/length checks, and the relationship between the 9 optional parameters and the stated purpose is unexplained.

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

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

States it finds a public pay-per-call tool gateway and returns connection methods, but 'Task text discarded' and the lack of a task parameter make the exact operation 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?

No explicit when-to-use or when-not-to-use guidance is given relative to sibling tools; only a vague category list is provided.

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

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

The description discloses that 'No browser is launched', which is a useful side-effect note, but it omits other likely behaviors such as whether a network request is made, what errors might occur, or whether the check is local syntax-only. With no annotations, the burden falls on the description, and it only partially covers it.

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 no filler, redundant wording, or unnecessary detail. It gets to the point immediately and avoids fluff, making it easy to parse.

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

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

The description lacks essential contextual information: it does not specify the return value or output format, which parameters are actually used versus discarded, or how it differs from closely related sibling tools. With 9 parameters and no output schema, the agent cannot fully anticipate the tool's behavior or success criteria.

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

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

The schema provides descriptions for all 9 parameters, but many appear unrelated to the stated purpose (e.g., 'city' for weather, 'zone' for timezone, 'query' for search length). The descriptions note that several are 'discarded' after a shape check, yet the description does not explain why these parameters are accepted or how they relate to URL checking. This creates confusion rather than clarity.

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

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

The description states the tool 'Check whether a URL can be opened', which gives a clear action and resource, but leaves ambiguity about what 'can be opened' means (e.g., HTTP status, DNS resolution, rendering). It does not differentiate itself from sibling tools like fetch-status or playwright-url-ok, so the purpose is only moderately clear.

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

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

The description provides no guidance on when to use this tool over the many similar siblings (fetch-status, normalize-url, playwright-url-ok, web-fetch). There is no mention of conditions, alternatives, or scenarios, leaving the agent to guess selection criteria.

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

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

No annotations are provided, and the description does not disclose any side effects, side effects, or operational behavior. The phrase 'Expression discarded' is vague and does not clarify what happens to inputs or outputs.

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

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

The description is extremely concise (one sentence) but fails to be front-loaded with relevant information. The brevity is not a strength because the content is misleading, so it does not effectively convey the tool's function.

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 mismatch between the description and parameters, the description is fundamentally incomplete. It does not explain what the tool actually does, what the parameters mean, or what the output is, leaving an agent unable to use the tool correctly.

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

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

Although parameter descriptions exist for all 9 parameters, they are nonsensical and inconsistent with the tool's stated purpose (e.g., 'Git ref name; discarded after shape check' for a calc tool). The descriptions do not add meaningful semantic value and actively confuse rather than clarify.

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 'Evaluate a+b style arithmetic' but the actual parameters (ref, url, city, feed, host, json, path, zone, query) are entirely unrelated to arithmetic. The description misrepresents the tool's purpose, making it misleading.

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

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

No guidance is provided on when to use this tool versus any alternative. The description offers no context or conditions for appropriate 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, the description carries the transparency burden. It does disclose that page content is not stored, which is useful, but it does not mention whether a network request is made, how redirects are handled, or any 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 extremely concise, with only two sentences and no redundant wording. The core behavior is stated before the secondary note about storage.

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 wording, the tool has 9 optional parameters and no annotations or output schema, and the description does not explain which parameters are relevant or how they relate to the stated purpose. This leaves the agent with significant ambiguity about how to call the tool correctly.

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

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

The schema descriptions cover all 9 parameters, so the baseline is 3. The description adds no parameter-level detail and does not clarify why unrelated parameters such as ref, city, zone, or query are present, but it does not contradict the schema either.

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 action ('Return'), the resource ('a URL'), and the specific outputs (host, scheme, HTTP status). It does not explicitly compare itself with siblings such as fetch-status or normalize-url, 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?

No guidance is given about when to prefer this tool over the many sibling tools, nor when not to use it. The description states what it does but leaves usage context entirely 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?

The description notes that no identifiers are retained, which gives some privacy signal, but it does not describe side effects, read-only guarantees, error behavior, or what happens with the provided data. With no annotations, this is insufficient transparency.

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

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

The description is very brief and free of filler, with the main idea stated up front. It loses some points only because the extreme brevity omits essential context that would make the description genuinely useful.

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

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

With nine optional parameters, no output schema, and no relationship to sibling tools, this description is not complete enough for an agent to use reliably. It does not explain what 'classified' means, what a successful response looks like, or how to decide which parameters to supply.

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

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

The input schema covers all parameters with individual descriptions, so parameter-level meaning is present. However, the tool description does not explain how the parameters relate to classification, which one(s) to choose, or how they are combined, leaving the overall semantics 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 says 'Show how this request is classified' but does not specify what kind of classification is performed, what output is produced, or which resource/tool family it belongs to. It is too vague for an agent to know what the tool actually does.

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

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

There is no guidance on when to use this tool versus the many sibling tools, nor any indication of what inputs should be provided or what scenarios it is designed for. The description leaves the agent without actionable usage direction.

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

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

The description implies a non-destructive operation (splitting a hostname) but does not explicitly state that the tool is read-only or free of side effects. It also does not clarify the behavior of the extra parameters (e.g., 'ref', 'url') which are marked as 'discarded' in schema but not mentioned 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 description is concise, consisting of a single sentence, which is efficient. However, it lacks any structural elements like sections or bullet points to separate purpose, input, output, or caveats, making it appear underdeveloped for a tool with multiple 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?

Given the tool has nine parameters and no output schema, the description is severely incomplete. It does not mention the expected return value, output format, or provide any examples or edge-case handling. This leaves the agent without enough context to invoke the tool correctly or interpret results.

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

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

The description mentions 'hostname' but does not map it to any specific parameter such as 'host'. It does not explain the purpose or relevance of the other eight parameters, nor does it clarify which ones are actually used versus ignored, leaving the agent to rely solely on schema descriptions that may be 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 clearly states the tool's core function: splitting a hostname into labels, and it explicitly excludes WHOIS or ownership data, which helps set expectations. However, it does not explicitly name the 'host' parameter as the input, which could cause slight 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?

The description provides no guidance on when to use this tool versus alternatives like 'normalize-url' or 'fetch-status'. It lacks information about typical use cases, required input format, or any conditions that would make this tool preferred over others.

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

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

It reveals that a HEAD request is made and only the status is returned, but it omits important behaviors such as redirects, timeouts, error responses, or whether any network side effects occur. With no annotations, these gaps are significant.

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

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

The description is a single, short sentence with the core action and result front-loaded. There is no filler or redundant 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?

Given the nine-parameter schema, lack of output schema, and absence of annotations, the description is far too sparse. It does not explain how parameters relate to the operation, what the returned status format is, or what error/edge-case behavior 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?

The schema contains nine optional parameters whose descriptions are largely irrelevant or misleading for a HEAD-status tool (e.g., 'Git ref name', 'City name for a public weather hint'). Even the url parameter is described as 'to normalize or cite' rather than to check status, and no parameter is marked required.

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

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

The description states a clear verb (HEAD), a clear target (public URL), and a clear output (status only). It is unambiguous and distinct from content-fetching 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?

No guidance is given about when to prefer this tool over alternatives like web-fetch, browser-url-ok, or normalize-url, nor when not to use it. The description only states what it does, not when to choose it.

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

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

No annotations are present, and the description only says 'Path discarded.' It does not disclose whether the tool performs network access, returns a boolean, transforms the URL, or handles invalid input, leaving important behavior unspecified.

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

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

The description is extremely concise, consisting of two short sentences with no filler or redundant content. It is well-structured and easy to read.

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 does not explain what the tool returns, how errors are surfaced, or what a successful parse looks like. Given nine optional parameters, this is insufficient context for an agent to confidently use 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?

Although all parameters have descriptions, many are generic and unrelated to Figma URLs, such as city, zone, feed, and json. The url parameter is described as 'normalize or cite' rather than as a Figma file URL, and path is described as a file path while the main description refers to a URL path, creating confusion.

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

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

The description clearly states that the tool parses a Figma file URL and discards the path, which gives a specific verb and resource. It is distinguishable from sibling tools like normalize-url and fetch-status, though it could be more explicit about the expected output.

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

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

There is no guidance on when to use this tool versus the many sibling shape-checking or URL-handling tools. The name implies Figma URL validation, but no explicit conditions or alternatives are provided.

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

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

With no annotations, the description carries the burden of side-effect disclosure. It does state 'No disk access,' which is useful, but it does not describe the output shape, error behavior, or validation criteria for 'safe'.

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

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

The description is two sentences, front-loads the purpose, and contains no filler or redundancy.

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

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

Despite the simple phrasing, the tool has many parameters and no output schema. The description does not explain why the unrelated parameters exist, what constitutes a safe path, or what the tool returns, leaving significant gaps.

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

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

Schema description coverage is 100%, so the baseline is met, but the description itself adds no param-level meaning. Several schema fields (url, city, feed, etc.) appear unrelated to the stated path-checking purpose and are left unexplained.

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

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

The description clearly names the action ('Check whether a path looks safe') and the resource (a path), and 'No disk access' distinguishes it from filesystem-touching operations. It is slightly vague about what 'safe' means and does not clarify why the schema contains many non-path fields.

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 the many sibling tools (e.g., browser-url-ok, domain-shape, normalize-url). There is no 'use this when...' or instruction to pass only the path field.

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 should disclose side effects or read-only behavior; it only says coordinates are returned via Open-Meteo. Several schema descriptions ('discarded after the call') muddle what actually happens, reducing transparency.

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

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

The description is concise and a single sentence, but it omits critical information about input and output. It is not bloated, yet the brevity works against clarity.

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 required parameters, and no annotations, the tool description should explain the expected input (e.g., a place name), return format, and behavior. It provides none of this, so an agent cannot call it reliably.

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

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

Although all 9 parameters have descriptions, most are irrelevant to geocoding (ref, feed, json, path) or misleading ('city' is described as discarded). The description does not clarify that the place is specified by one of these parameters, so the schema does not add useful meaning.

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

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

The description states the tool returns latitude and longitude for a place via Open-Meteo, but it lacks an explicit verb like 'get' and does not specify which input names the place. It is somewhat distinguishable from sibling tools but 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?

No guidance is given for when to use this tool instead of related siblings such as weather-hint or timezone, nor any mention of required input like a city name or query.

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, and the description does not disclose error behavior, handling of invalid or non-GitHub URLs, ignored parameters, or the exact shape of the returned owner/repo result. A read-only operation is implied but not explicitly stated.

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

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

The description is a single concise sentence that front-loads the action and target with no filler or redundancy.

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

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

With no output schema and a bloated, conflicting input schema containing unrelated parameters, the description is insufficient for an agent to confidently call the tool. It does not explain the expected return format or how to handle the irrelevant fields.

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

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

Despite 100% schema description coverage, the parameter descriptions are mismatched and largely irrelevant. Only 'url' is plausibly related to the stated purpose, while city, feed, zone, query, and others appear copied from unrelated sibling tools. The description does not clarify which parameters are actually used.

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 verb and resource: 'Parse owner and repo from a GitHub URL.' This distinguishes the tool from sibling URL/shape tools and leaves little ambiguity about its primary function.

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

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

No guidance is provided about when to use this tool versus alternatives like normalize-url, figma-url-shape, or browser-url-ok. The intended use case must be inferred from the wording.

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 action is read-only by nature, and several parameter descriptions disclose that values are discarded or not used (e.g., 'no disk access'), which adds some transparency. However, there is no explicit statement about side effects, errors, or output format beyond the count.

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 to the point, consisting of two sentences with no filler or redundant detail. 'Titles discarded' is a useful clarification rather than unnecessary verbosity.

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

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

With no output schema and no annotations, the description should state the return shape or explicitly say that all parameters are ignored; it does neither. The core behavior is clear, but the presence of nine irrelevant optional parameters leaves important context unresolved.

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 descriptions for all nine optional parameters, those descriptions are unrelated to counting HN stories and mostly state that values are discarded after checks. The tool description adds no explanation of why these parameters exist or how they affect the result, so an agent cannot infer meaningful parameter 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 target ('current Hacker News front-page stories'), making the tool's core function unambiguous. It also clarifies that titles are not part of the result, which distinguishes output expectations.

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, and no comparison with sibling tools is offered. The description only states what the tool does, not when it should be used.

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

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

No annotations are provided, and the description does not disclose side effects, return data, or operational behavior. Schema descriptions mention values being 'discarded' and 'no disk access,' but these are inconsistent and do not clarify whether the tool performs validation, returns data, or has other effects.

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

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

The description is short, but the input schema is bloated with 9 irrelevant parameters, each with a misleading description. This creates a confusing structure where conciseness is undermined by unnecessary and off-topic content.

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

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

The tool lacks an output schema, and the input schema is not explained in relation to the stated purpose. There is no indication of what the tool returns, how to invoke it meaningfully, or what the expected input should be. This leaves an agent unable to confidently call 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?

Although every parameter has a schema description, the descriptions are nonsensical in context: 'ref' is a Git ref, 'json' is JSON text, 'feed' is an RSS URL, and 'query' is search text. These explanations do not add meaningful semantics for a tool about IANA timezone names and appear copied from unrelated tools. Only 'zone' is plausibly relevant.

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

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

The description is a noun phrase ('Common IANA timezone names for clock calls') with no verb or action, so it does not state what the tool does. The input schema contains 9 unrelated string parameters (ref, url, city, feed, host, json, path, query) that do not align with the apparent purpose of returning IANA timezone names.

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

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

There is no guidance on when to use this tool versus alternatives. Sibling tools like timezone, utc-time, and validate-json exist, but the description and schema provide no differentiation or selection criteria. The 'for clock calls' phrase is too vague to be actionable and may mislead.

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

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

The description mentions a network fetch and a limited return value, but lacks details about side effects, error behavior, rate limits, or whether any data is persisted. With no annotations provided, more behavioral disclosure is needed.

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

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

The description is a single clear sentence with no fluff or redundant content. It is appropriately concise and front-loaded.

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

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

With 9 optional parameters, no required fields, and no output schema, the description does not explain which parameters are actually used, what the return format is, or how to handle invalid inputs. The tool is effectively unusable based on the given 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?

Although the schema has 100% description coverage, the descriptions are mostly nonsensical and inconsistent with the tool's purpose. For example, 'url' is described as 'HTTPS URL to normalize or cite' rather than the robots.txt target, and many parameters are labeled as 'discarded' or irrelevant. This actively misleads rather than clarifies.

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 fetches a public robots.txt and returns group counts, which is specific enough to differentiate it from general fetch tools. However, it does not explicitly name the input parameter that provides the target URL, slightly reducing clarity.

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

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

No guidance is given on when to use this tool versus alternatives like web-fetch, fetch-status, or normalize-url. The description implies a robots.txt-specific use case, but does not state conditions or preferences.

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

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

With no annotations, the description carries full burden. It discloses that the key is 'discarded' (no retention), but does not state whether the operation is read-only, what the output or return value is, or any side effects. For a validation tool, this is minimal behavioral context.

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

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

The description is a single sentence, which is concise but under-specified. It omits essential information, so this is not good conciseness—it is simply too short to be useful.

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

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

The tool has 9 optional parameters, no output schema, no annotations, and a one-sentence description. An agent cannot determine which parameter is the Jira key, the expected input format, or the result of the check. This is completely inadequate for 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?

Schema coverage is 100%, so the baseline is 3, but the description fails to identify which of the 9 parameters holds the Jira key. The schema parameters (ref, url, city, feed, etc.) are unrelated to Jira and do not clarify this. The description adds no parameter guidance and does not compensate for the ambiguity, making it hard for an agent to know what to pass.

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 resource ('Jira issue key'), and 'shape' implies format validation. It is not a tautology and does mention Jira, which distinguishes it from some siblings, but it is vague about what 'shape' entails (e.g., expected pattern like PROJ-123). It lacks detail on the exact purpose or criteria.

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 alternative shape-check siblings (e.g., github-repo-shape, domain-shape). There are no conditions, exclusions, or mentions of alternatives, leaving the agent to infer usage solely from the 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?

The description discloses no behavioral details: no mention of side effects, return values, error conditions, or even a basic overview of what happens on invocation. The generic parameter descriptions (e.g., 'discarded after the shape check') hint at some action, but the tool's actual behavior is completely unexplained.

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

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

The description is extremely short and contains no filler, but it is too sparse to be considered well-structured for comprehension. It lacks any breakdown or ordering of information that would help an agent understand the tool, so it is concise only in the sense of being brief, not effective.

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

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

With 9 parameters, no output schema, and no annotations, the tool requires substantial contextual explanation. The description provides none of it, failing to address what the tool does, what inputs mean, what outputs to expect, or any constraints. This is a critical gap for a tool with this complexity.

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

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

Although the schema descriptions cover all 9 parameters, they are generic and appear copy-pasted from other tools (e.g., 'Git ref name', 'City name for a public weather hint'). The tool description does not clarify how these parameters relate to the tool's purpose, so their semantic meaning in the context of 'lang-bs' remains unknown.

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 'ISO 639 language tag bs.' merely restates the tool name and provides a language code fact. It does not state what operation the tool performs, what it accepts, or what it returns, leaving the purpose entirely 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?

No guidance is provided about when to use this tool versus any sibling tool. The description offers no context, use cases, or conditions for selection, making it impossible for an agent to choose this tool appropriately.

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

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

The only behavior disclosed is that the body is discarded. No information about read-only nature, redirect handling, or side effects is provided. Since no annotations exist, the description carries the full burden but covers very little.

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

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

The description is a single concise sentence that immediately states the core function. No unnecessary words or redundant information.

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

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

The description is extremely sparse. It does not explain what 'public library docs' means, what the output looks like, or why this tool exists. With 9 parameters and no output schema, much 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?

The schema provides descriptions for all 9 parameters, including which are discarded. The tool description adds no additional parameter meaning, so it meets the baseline for high schema coverage.

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

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

The description clearly states the tool provides HTTP status for a public library docs URL, and mentions body is discarded. It is specific enough to distinguish from generic fetch tools, though it lacks a verb like 'returns'.

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

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

No guidance is given on when to use this tool versus alternatives such as fetch-status or browser-url-ok. The description does not mention any selection criteria.

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

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

No annotations are provided, and the description does not disclose side effects, return values, error behavior, or whether the operation is read-only. The phrase 'Values discarded' is ambiguous and could be interpreted as a side effect rather than simply ignoring values.

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 avoids fluff, but it is under-specified to the point of being unactionable. It does not provide enough information to be considered well-structured for an agent.

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

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

Given the tool has nine parameters, no required fields, no output schema, and no annotations, the description is severely incomplete. It does not explain input mapping, expected return format, or edge cases, making it impossible for an agent to use confidently.

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

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

The description does not explain how any of the nine parameters relate to the stated purpose of counting keys. The schema descriptions are contradictory to the tool's purpose (e.g., 'Git ref name', 'URL to normalize', 'IANA timezone name') and do not clarify which parameter holds the JSON object.

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

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

The description states the operation clearly ('Count keys in a JSON object') but does not specify which input parameter or schema field contains the JSON object. The input schema has nine unrelated string parameters with no required fields, so an agent cannot determine what to pass.

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

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

The description gives no guidance on when to use this tool versus alternatives, no prerequisites, and no context about expected input. It does not mention any sibling tools or conditions that would make this the appropriate choice.

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

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

The description discloses only the basic output and the fact that query and fragment are dropped. It does not specify behavior for invalid URLs, non-HTTPS inputs, edge cases, output formatting, or error handling. Since no annotations are provided, this sparse information leaves 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 concise and front-loaded, using one clear sentence to state purpose and scope. It earns its place with relevant information, though it could benefit from additional operational details without becoming verbose.

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

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

Given the lack of an output schema, the presence of many seemingly irrelevant optional parameters, and the minimal behavioral detail, the description is not complete enough for an agent to confidently invoke the tool. It leaves unresolved questions about parameter usage, output shape, and failure modes.

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 includes many parameters (ref, city, feed, json, path, zone, query) whose descriptions are unrelated to URL normalization and appear copied from other tools. The description does not clarify why these parameters exist or how they relate to the primary `url` parameter, and even the `url` parameter description merely restates the tool's purpose without adding details like format or constraints.

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

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

The description clearly states the tool's function with a specific verb ('Return'), the resource ('URL'), and the exact scope of output ('origin, host, and path'). It also specifies what is excluded ('Query and fragment are dropped'), making the purpose unambiguous and distinct from sibling URL-related 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?

There is no guidance on when to use this tool versus alternatives such as browser-url-ok, web-fetch, or fetch-status. The description offers no contextual triggers, prerequisites, or examples, leaving the agent without direction for appropriate 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 provided, the description carries the full burden of disclosing side effects and behavior. It only states that no browser is launched, but does not mention whether a network request is made, whether the tool can fail, or any side effects or limitations.

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 redundant or irrelevant content. It efficiently communicates the core action and a key behavioral constraint in a single sentence.

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

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

Given the high parameter count and absence of an output schema, the description is incomplete. It does not explain what the check returns, how success or failure is represented, or which parameters are relevant, making it difficult for an agent to use the tool correctly.

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

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

Although schema description coverage is 100%, the parameter descriptions are inconsistent with the tool's stated purpose. The 'url' parameter is described as 'HTTPS URL to normalize or cite' rather than a URL to check, and most other parameters are described as discarded, leaving it unclear which input is actually used for the check.

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 primary action: checking whether a URL can be opened, and adds a useful negative constraint that no browser is launched. However, it does not fully distinguish from sibling tools such as browser-url-ok or fetch-status, which likely perform similar reachability checks.

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

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

The description provides no guidance about when to use this tool versus alternatives like browser-url-ok, fetch-status, or web-fetch. It also does not specify which input parameter is required or how the tool should be invoked.

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 states 'Query discarded,' implying the operation is non-destructive and side-effect-free. However, it does not describe the return value (e.g., whether it returns the count as an integer) or any potential errors. With no annotations, this is only partial transparency.

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

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

The description is extremely concise, consisting of two short sentences with no unnecessary words. It efficiently conveys the core function and the disposal of the query.

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

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

For a simple count operation, the description is mostly complete, but it omits details about the return format and does not address the purpose of the many extraneous parameters. The lack of an output schema leaves the agent guessing about the exact result type.

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 9 parameters, but only 'query' is relevant to the tool's purpose. The other parameters (ref, url, city, feed, host, json, path, zone) are decoys and are not explained in the tool description, which could mislead an agent into thinking they are used. Schema descriptions exist but do not clarify that they are irrelevant.

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

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

The description clearly states the action ('Count characters') and the resource ('a search query'), but it does not explicitly name the parameter that holds the query, though the schema includes a 'query' field. This is slightly ambiguous given the presence of many other 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 on when to use this tool versus any of the 25 sibling tools. No alternatives are mentioned, and the description provides no context for selecting this tool over others.

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

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

There are no annotations and the description does not disclose any side effects, permissions, or read-only guarantees. It is unclear whether the tool performs any write actions or has external dependencies.

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

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

The description is a single concise sentence, which is structurally acceptable. However, it omits essential details and does not follow a clear 'verb + object' pattern, reducing effectiveness despite brevity.

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

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

With 9 optional parameters and no output schema, the description is severely incomplete. It does not explain how parameters relate to the tool, what the output format is, or what 'catalog' means in practical terms, leaving agents without necessary context.

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

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

The description adds no meaning to the parameters. The schema includes detailed descriptions (e.g., 'discarded after the shape check') that suggest a different purpose, but these are not reconciled with the stated catalog of HTTP status codes, leaving agents unable to infer parameter usage.

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 'Short catalog of common HTTP status codes' states a subject but lacks a clear verb or action, leaving ambiguous whether the tool retrieves, lists, or validates status codes. The nine input parameters are entirely unrelated to HTTP status codes, further obscuring the actual 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?

No guidance is provided about when to use this tool versus any of the 28 sibling tools. There is no mention of appropriate scenarios, prerequisites, 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?

The description says 'Prompt discarded,' which hints at ignoring input, but it does not clarify whether the tool is read-only, what it returns, or how it treats the nine schema parameters. Without annotations, the description carries the full burden, and it does not disclose output format, side effects, or external access.

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 begins with the primary action, which is concise. However, the cryptic 'Prompt discarded' sentence does not earn its place because it creates ambiguity without adding useful 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?

With nine optional parameters and no output schema, the description is far too incomplete. It does not explain the template's structure, how parameters should be used, what output to expect, or how this tool differs from its many siblings, so an agent cannot reliably 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?

The schema descriptions individually cover all parameters, but the tool description adds no meaning and instead suggests inputs are discarded. Several parameter descriptions ('HTTPS URL to normalize or cite', 'JSON text to validate') imply actions that are not connected to returning a thinking template, making the parameters confusing rather than informative.

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

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

The description states it returns a three-step thinking template, but the meaning is vague and the phrase 'Prompt discarded' is unexplained. The nine optional parameters are not reconciled with the stated purpose, leaving the agent unsure what the tool actually does with them or why they exist.

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 many sibling tools. It does not mention use cases, prerequisites, or alternatives, so an agent cannot decide when it is the appropriate choice.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description only states the primary function and omits critical details: that only the 'zone' parameter is relevant, that all other parameters are ignored or discarded, what the return format is, or any error behavior. For a tool with 9 parameters and no annotations, this is severely lacking.

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 and is not bloated, but it is under-specified. Conciseness should not come at the expense of necessary information. For a tool with this complexity, the description is too terse and fails to cover essential usage details, so it is not appropriately sized.

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 required parameters, no output schema, and no annotations, the description is grossly incomplete. It does not explain which parameter to pass, what happens with the other parameters, what the response looks like, or any edge cases. An agent cannot reliably invoke this tool based on the current 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?

Schema description coverage is 100%, so each parameter has a description, but the tool description does not clarify which parameter matters for this tool. The schema includes parameters like 'ref', 'url', 'city', etc., all with 'discarded' notes, but the description never indicates that 'zone' is the only effective parameter. The description adds no value beyond the schema and leaves the agent to guess the relevant 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 is a specific verb+resource: 'Current time' + 'named IANA timezone'. It clearly states the tool's function and implicitly distinguishes it from siblings like 'utc-time' (which presumably returns UTC) and 'iana-zones' (which likely lists zones). An agent can tell what this tool does without opening 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 description provides no guidance on when to use this tool versus alternatives. It doesn't mention 'utc-time' for UTC or any other sibling, nor does it state any conditions or exclusions. The context is implied by the name and description, but there is no explicit routing or usage direction.

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

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

There are no annotations, and the description does not disclose whether the tool is read-only, what side effects (if any) it has, or how it handles the provided parameters. The schema descriptions hint that parameters are 'discarded' or 'checked', but the main description gives no behavioral transparency.

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

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

The description is extremely brief at one sentence, which is concise in length but not in effectiveness. It lacks essential information about the tool's operation and parameters, so the brevity is a deficiency rather than 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?

Given the tool's unexpectedly complex input schema and the surrounding sibling tools, the description is severely incomplete. It does not address why the tool accepts these parameters or how they relate to the stated purpose, leaving the agent without enough context to use the tool correctly.

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

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

The schema lists nine parameters with descriptions that are clearly unrelated to retrieving a UTC timestamp (e.g., 'Git ref name', 'HTTPS URL', 'City name'). These appear to be placeholders, and the description does not explain why they exist or how they affect the result, making the parameter semantics misleading.

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

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

The description 'Current UTC timestamp' is a noun phrase rather than an action, and the tool name 'utc-time' is the primary clue to its function. It does not clearly state what the tool does, such as 'Returns' or 'Gets', and the presence of nine unrelated parameters further obscures the 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?

No guidance is given about when to use this tool versus any alternative. The description lacks any context, such as typical use cases or distinctions from other time-related tools like 'timezone' or 'iana-zones'.

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 and no explanation of return values, side effects, or validation result format, the tool's behavior is opaque. The description contradicts itself on whether the checked body is retained 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 text is short, but it is not a clear, front-loaded statement of behavior. The single sentence is internally contradictory and omits essential structural information about inputs and outputs.

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

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

Given the lack of an output schema and the presence of nine seemingly unrelated optional parameters, the description is far too incomplete for an agent to call this tool correctly. No request/response contract, error behavior, or typical usage context is provided.

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

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

Although every parameter has a schema description, most are unrelated to JSON validation (e.g., 'Git ref name,' 'City name,' 'IANA timezone name') and none are required. The description does not clarify which parameter is actually used or how the parameters relate to the tool's purpose.

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

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

The description states a purpose ('check whether a body is valid JSON') but immediately undermines it by saying 'the body is discarded,' leaving the actual behavior unclear. It also fails to distinguish this from the many sibling validation 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?

No guidance is provided about when to use this tool versus alternatives, what input is expected, or what outcome the caller should rely on. The phrase 'body is discarded' actively confuses rather than instructs.

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 states the data source and does not disclose whether the tool makes a network request, is read-only, or handles missing cities. No side effects or limitations are mentioned.

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

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

The description is a single concise sentence and front-loads the core purpose. However, the structure provides no additional details or parameter context, making it too sparse for a tool with nine inputs.

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 incomplete for effective use: it does not specify required parameters, return format, error behavior, or what happens with the extraneous schema fields. The absence of an output schema further reduces the context available to 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?

Although the schema has 100% description coverage, the descriptions are mismatched and confusing (e.g., 'discarded after the call') and do not clarify which of the nine string parameters is actually used for the city. The 'city' parameter description is self-contradictory, saying it is discarded after 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 returns current temperature for a city via Open-Meteo, identifying the resource and external provider. It is distinguishable from sibling tools by its weather-specific purpose, though it does not specify which input parameter is used.

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

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

No guidance is provided about when to use this tool instead of alternatives such as geo-hint or timezone. The description does not mention conditions, prerequisites, or fallback scenarios.

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 that the body is discarded and that the URL should be public, which gives some behavioral transparency. However, with no annotations and no mention of network behavior, redirects, timeouts, or error handling, the full burden is not fully met.

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

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

The description is extremely concise and free of fluff, capturing the essential behavior in a single sentence.

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 given the confusing multi-parameter schema. It does not explain which parameter is the URL, how the response is structured, or what edge cases might occur, leaving the agent without enough context to reliably 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?

The input schema lists nine optional parameters, most of which are irrelevant or contradictory to the web-fetch purpose (e.g., ref, city, feed, zone). The descriptions do not clarify which parameter should be used for the URL, and the tool description adds no guidance, making parameter selection highly ambiguous.

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 function: retrieving HTTP status and content type for a public URL while discarding the body. It is specific about the resource and output, though it does not explicitly distinguish itself from sibling tools like fetch-status or normalize-url.

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

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

No guidance is provided about when to use this tool versus alternatives. The description implies use for status/content-type checks, but does not mention exclusions, such as when body content is needed or when another sibling tool would be more appropriate.

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

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. The only behavior mentioned is 'Title discarded after the call,' but there is no title parameter, making the statement misleading. The description does not disclose side effects, permissions, or output behavior for the actual parameters.

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

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

The description is very short, which is concise, but the brevity sacrifices essential information. It is a single sentence with no structure or explanation of how the parameters relate to the purpose. It is not tautological, but it is under-specified rather than efficiently structured.

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

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

Given the tool has 9 optional parameters and no output schema, the description is severely incomplete. It does not specify which parameter to use for the title check, what the return value is, or any side effects. An agent cannot reliably invoke this tool correctly based on the description.

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

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

Schema description coverage is 100%, so baseline is 3. However, the tool description adds no meaning beyond the schema and actively misleads by referencing a 'title' that does not exist. The parameter descriptions themselves are generic (e.g., 'city' for weather hint) and do not connect to the stated purpose, so the description fails to add 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 states a clear purpose ('Check whether a Wikipedia title exists') but the schema contains no 'title' parameter. It is unclear which input represents the title, and the description does not differentiate it from sibling shape-check tools like browser-url-ok or file-path-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. The description does not mention any conditions, prerequisites, or sibling tools, leaving the agent to guess its applicability.

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