Atlantic/Cape_Verde clock

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

No annotations are provided, so the description carries the behavioral disclosure burden. It adds useful context by stating 'Task text discarded' and implying a read-only lookup with 'Find' and 'Returns', but it does not disclose side effects, costs, external dependencies, or output guarantees.

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-loaded. It states the core action, the resource, the returned artifacts, and a privacy-relevant behavioral note with no filler.

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, 9 optional parameters, and no annotations, the description does not sufficiently explain how to invoke the tool or what inputs matter. An agent cannot tell whether to pass a URL, a query, a hostname, or some combination, nor what the returned structure looks like.

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

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

Schema description coverage is 100%, so the schema already documents all 9 parameters. The description adds no parameter-level meaning beyond the schema's own descriptions.

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: 'Find a public pay-per-call tool gateway' and lists the returned artifacts. It is distinguishable from sibling validation tools by its lookup/index role, though it does not explicitly contrast with any sibling.

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

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

There is no guidance on when to use this tool versus the many sibling tools. The description does not state what input an agent should provide or what condition selects this tool over alternatives.

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

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

With no annotations, the description carries the burden of behavioral disclosure. It usefully reveals that no browser is launched, but it does not say whether the check performs network requests, whether it is purely lexical or shape-based, or what side effects might occur.

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

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

Two short sentences, front-loaded with the action and the critical caveat. There is no filler or redundant restatement of the tool name.

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

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

The tool has 9 optional parameters, no output schema, and no annotations, but the description is only two clauses. It omits the return format, the meaning of 'ok', network behavior, and how the broad parameter set maps to the URL-checking purpose, so an agent cannot fully determine 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?

Although schema coverage is 100%, the description adds no parameter-level guidance, and the schema mixes url with unrelated-looking optional inputs such as city, json, path, ref, and query. An agent cannot tell which parameter to pass for the stated URL check, so the high coverage does not fully compensate for the 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 concrete action and resource: checking whether a URL can be opened, and adds the important negative qualifier that no browser is launched. This separates it from playwright-url-ok at a high level, though 'can be opened' is left ambiguous between syntax validity and actual reachability.

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

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

There is no explicit guidance for when to choose this tool over siblings such as fetch-status, normalize-url, or playwright-url-ok. The phrase 'No browser is launched' hints at a lightweight use case but does not state selection conditions or alternatives, leaving usage to inference.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals one trait ('Expression discarded') but omits return values, side effects, auth needs, rate limits, and why the nine parameters exist. The claimed behavior also conflicts with the schema's available parameters, so transparency is poor.

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, but it is under-specified rather than economically complete. Six words cannot carry the behavioral, parameter, and routing information needed for a nine-parameter, annotation-free tool, and the sentence 'Expression discarded' raises more questions than it answers.

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

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

For a 9-parameter tool with no output schema, no annotations, and 27 sibling tools, the description is drastically incomplete. It omits return format, error behavior, and the relationship between the arithmetic claim and the unrelated schema properties, leaving an agent with insufficient information 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?

Schema description coverage is 100% for the nine listed properties, which normally sets a baseline of 3. However, the description references an 'expression' that is not among the schema properties, so it fails to map the core arithmetic input to any parameter and actively misleads an agent into supplying a property that additionalProperties: false would reject.

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 object ('Evaluate a+b style arithmetic'), so an agent can infer the tool is meant for simple math evaluation. However, it never identifies how the expression is supplied, and the input schema's nine properties contain no expression field while additionalProperties is false, making the stated purpose impossible to map to invocation. It also does not distinguish calc-eval from its many siblings beyond the name.

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

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

There is no guidance on when to use this tool versus alternatives; with 27 sibling tools, no alternative, condition, or exclusion is mentioned. The only behavioral hint, 'Expression discarded,' does not clarify use cases and is misleading because the schema does not actually accept an arithmetic expression.

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 full behavioral burden. It discloses that page content is not stored, which is useful, but it does not mention network side effects, handling of invalid URLs, whether data is ever retained, or what happens with the many unrelated accepted parameters.

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

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

Two short, focused sentences with no filler. The core output is front-loaded, and the second sentence adds a meaningful privacy guarantee.

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

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

For a tool with nine optional parameters, no required parameters, no output schema, and no annotations, the description is too thin. It does not specify what combinations of parameters are valid, what the complete response looks like, or how this tool fits alongside the numerous sibling tools.

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

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

Schema description coverage is 100%, so the baseline is 3; each parameter is already documented in the schema. The description adds little beyond that, but it is not required to duplicate schema information. It also does not clarify how the URL parameter relates to the other 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 clearly states a specific verb and resource: it returns host, scheme, and HTTP status for a URL. However, it does not distinguish this from sibling tools like normalize-url or fetch-status, and it ignores that the schema accepts eight 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 instead of normalize-url, fetch-status, browser-url-ok, or other siblings. The privacy note 'Page content is not stored' hints at a use case but does not give explicit conditions, alternatives, or exclusions.

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

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

With no annotations provided, the description carries the full burden. The only behavioral disclosure is 'No identifiers are retained,' which is useful privacy context, but it omits side effects, determinism, network behavior, and what classification actually does.

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

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

The description is two short sentences with no filler and leads with the purpose. The brevity is a strength, though the content is too vague to fully compensate for the weak purpose statement.

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, a large sibling set, no output schema, and no annotations, a two-sentence description is not sufficient. The missing classification categories, return shape, and selection criteria leave an agent unable to use it 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?

Schema description coverage is 100%, and each parameter already has an explanatory description. The tool description adds no parameter-level meaning beyond the schema, so the baseline of 3 applies.

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

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

The description says only 'Show how this request is classified,' which is vague about what 'compatibility' means or what categories are returned. It does not distinguish this tool from the many shape-check siblings such as normalize-url or validate-json.

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

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

There is no guidance on when to call this tool versus the sibling tools. No conditions, alternatives, or exclusions are mentioned, so an agent has no basis for selecting 'compatibility' over a more specific checker.

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

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

With no annotations, the description is the sole source of behavioral information. It discloses a transformation (split into labels) and a safety boundary (no WHOIS/ownership data), but it does not describe the return format, input validation behavior, or how the remaining optional parameters are handled.

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

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

The description is a single concise, front-loaded sentence with no filler. It is appropriately short for the stated operation, though slightly more context would have been 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?

For a tool with nine optional parameters, no required fields, and no output schema, this description is incomplete. It doesn't state which input to populate, what the expected output is, or what happens when multiple unrelated parameters are supplied, leaving an agent to guess.

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

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

Schema description coverage is 100%, so the schema already documents each of the nine parameters. The description itself adds no parameter-level detail and does not clarify which parameter is relevant to the hostname-splitting behavior, so it stays at the baseline rather than earning credit.

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

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

The description states a clear operation ('split a hostname into labels') and explicitly excludes WHOIS/ownership lookups, which distinguishes it from domain-information tools. However, it doesn't tell the agent which of the nine optional schema properties carries the hostname, so a little ambiguity remains.

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

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

There is no guidance about when to choose this tool over siblings such as normalize-url, github-repo-shape, or browser-url-ok. The only hint is the negative 'without WHOIS or ownership data,' which is not enough to direct selection.

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

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

With no annotations, the description carries the burden of behavioral disclosure. It does reveal that the tool issues a HEAD request, targets public URLs, and returns only status, implying a read-only operation. However, it does not explain what happens when non-URL parameters are provided, whether multiple parameters are allowed, or what the returned status looks like (HTTP code versus boolean).

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

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

The description is a single, front-loaded sentence with no wasted words. It is efficient for the stated URL-status behavior, though it would need more structure to adequately address the breadth of the nine-parameter schema.

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

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

The tool has nine optional parameters, no required fields, no output schema, and no annotations, yet the description addresses only one narrow URL use case. It leaves unclear whether this is a one-of shape checker, how a caller should select among ref/city/feed/host/json/path/query, and what the response format actually contains. This is 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 description coverage is 100%, so the baseline is 3. The description adds no new parameter semantics and does not explicitly map 'public URL' to the `url` property, but the schema itself already documents each parameter's meaning and its discard-after-check behavior.

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

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

The description states a specific operation — HEAD a public URL and return status only — which is clear and distinguishes it from content-fetching tools like web-fetch. However, it only covers the URL case while the schema exposes eight other value types (ref, city, feed, host, json, path, query) that also appear to be checked and discarded, so the tool's full purpose is not clarified.

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, web-fetch, or status-catalog. It also does not say which of the nine optional parameters should be supplied, whether they are mutually exclusive, or what conditions should trigger this tool.

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

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

With no annotations, the description carries the full burden. It discloses one behavior ('Path discarded') but says nothing about side effects, return values, error cases, or whether the tool only validates vs. transforms. This is minimal transparency for a tool with no annotation safety hints.

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

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

The description is very short and front-loaded, which is concise. However, 'Path discarded' is cryptic and the brevity borders on under-specification rather than efficient 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?

Given nine parameters, no annotations, and no output schema, the description is grossly incomplete. It does not explain which parameter to pass, what the expected output is, what 'shape' validation entails, or any failure behavior. An agent cannot reliably invoke this tool correctly from the provided 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?

Schema coverage is 100%, so the schema already describes all nine parameters. The description adds little beyond implying that the 'url' parameter is relevant and that 'path' is discarded, but it does not meaningfully clarify the role of the parameters for this specific tool.

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 ('Parse') and resource ('Figma file URL'), so the basic purpose is discernible. However, it does not explain what the parse produces, what 'shape' means, or how it relates to the tool name, leaving the intended outcome 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?

No guidance is given about when to use this tool versus sibling tools such as normalize-url or browser-url-ok. The description implies it is for Figma file URLs but provides no exclusions, alternatives, or context for selection.

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

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

With no annotations, the description carries the full behavioral burden, but it only says 'No disk access.' It does not disclose return format, what 'safe' means, failure behavior, or the surprising fact that the schema accepts many unrelated parameters (ref, url, city, feed, zone, query) that appear to be discarded after their 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 two short sentences with no filler, and the core behavior is front-loaded. It is slightly under-specified overall, but as a concise statement it earns a 4 rather than a 5.

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

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

The tool has nine parameters, no annotations, and no output schema, yet the description only addresses a single path concept. Missing return type, processing semantics, and clarification of whether the other parameters are alternatives or independent validations makes this 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%, so all nine parameters already have individual descriptions. The tool description adds no parameter-specific meaning beyond naming 'path', so the baseline score of 3 is appropriate.

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

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

The description states a specific action and object: 'Check whether a path looks safe.' The added 'No disk access' clarifies the scope. It does not explicitly differentiate from sibling shape-check tools like normalize-url or wiki-title-ok, but the path focus is evident from the name and 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?

No guidance is provided about when to use this tool versus alternatives such as browser-url-ok, playwright-url-ok, or normalize-url. The description only gives a general purpose without context, exclusions, or routing hints.

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 at all, the description carries the full burden of explaining behavior, but it only mentions the Open-Meteo source. It does not disclose that most schema parameters are discarded, whether this is a network call, what the response format is, or whether the city parameter is required in practice.

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 a bit too sparse for the unusual 9-parameter schema.

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

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

For a tool with 9 optional parameters, no annotations, no output schema, and many discarded fields, the one-sentence description is not enough for an agent to confidently invoke it correctly. It omits the required usage context, parameter selection guidance, and return 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?

Schema coverage is 100%, so the baseline is 3. The description adds no parameter-level meaning and does not map 'place' to any specific schema property, but the schema itself already documents each parameter individually.

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 result: get latitude and longitude for a place, using Open-Meteo as the source. It communicates what the tool does, though it does not explicitly differentiate it from sibling tools like weather-hint.

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

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

No guidance is given about when to choose this tool over related siblings or which parameter identifies the 'place'. The schema contains 9 optional parameters with no required field, and the description does not clarify whether city, query, or something else should be supplied.

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 conveys the core pure transformation, but does not disclose return shape, invalid URL handling, or that unrelated schema parameters are discarded. This is a moderate but not severe transparency gap.

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

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

The one-sentence description is front-loaded and contains no filler. It is appropriately terse for a simple parse operation, though naming the `url` parameter would improve it without adding bulk.

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

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

With no annotations, no output schema, and a 9-parameter schema full of unrelated optional fields, a single purpose sentence is insufficient for confident invocation. The description does not state which parameter to supply, what the return value looks like, or how malformed input is handled.

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 detail and does not explicitly name `url` as the relevant input; the `url` schema description says 'normalize or cite' rather than 'parse owner and repo,' but the parameter name and tool name make the mapping recoverable.

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

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

The description uses the specific verb 'parse' and identifies both the resource ('a GitHub URL') and the result ('owner and repo'). This distinguishes it from sibling URL tools like normalize-url or browser-url-ok, though it does not explicitly name them.

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 a GitHub URL must be reduced to owner and repo. However, it provides no explicit exclusions or comparison to alternative tools, leaving the agent to infer the boundary from the sibling list.

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

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

With no annotations, the description is the sole behavioral signal. It usefully discloses the core output behavior: a count, not titles. However, it omits important details such as whether the tool fetches live data, what happens on failure, or how the nine optional input parameters are treated.

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

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

The description is two short sentences with no filler. The core action is front-loaded, and the clarifying limitation ('titles discarded') follows immediately. Every word earns its place.

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

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

Despite a clear purpose, the description leaves significant ambiguity around invocation: with nine optional parameters, no annotations, and no output schema, an agent cannot tell whether to pass a feed, a URL, or nothing at all. The description is too thin to be fully actionable.

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

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

The input schema already documents all nine parameters, so the schema carries the parameter-level burden. The description adds no parameter guidance and does not map any specific parameter to the HN count action, but since no parameters are required and schema coverage is 100%, this is acceptable.

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 ('Count') and a specific resource ('current Hacker News front-page stories'). 'Titles discarded' further clarifies that the output is limited to the count, making the tool's purpose unambiguous and distinct from sibling fetch/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?

The description implies the tool should be used when an agent needs the current number of Hacker News front-page stories, but it gives no explicit exclusions and names no alternative tools. It does not help the agent choose between this and related siblings such as web-fetch or fetch-status.

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 states the content topic; it does not disclose what a call returns, whether parameters are ignored or used, whether there are side effects, or any other runtime behavior. This is a serious transparency gap.

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

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

The description is short, but this is under-specification rather than effective conciseness. For a tool with nine parameters and no annotation or output schema, a single noun-phrase fragment does not provide enough structured information to guide invocation.

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 total absence of annotations and output schema, plus a seemingly unrelated input schema, this description is far too incomplete. It does not explain the return value, invocation pattern, parameter relevance, or how this tool fits with the other clock/timezone-related tools.

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

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

Although the input schema has 100% parameter-level description coverage, the described purpose is disconnected from the nine optional string parameters (ref, url, city, feed, host, json, path). The description adds no guidance on whether these parameters are relevant, ignored, or mutually exclusive, leaving the agent uncertain about how to form a valid 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 says 'Common IANA timezone names for clock calls,' which identifies a resource and an intended use, but lacks any verb or action such as 'returns' or 'lists.' It is closer to a fragment than a statement of what the tool does, and it does not clearly differentiate the operation 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?

'For clock calls' hints at a usage context, but there is no explicit guidance about when to use this tool instead of alternatives, when not to use it, or what prerequisites or conditions apply. The description leaves the agent to infer the tool's role among many siblings.

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

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

With no annotations, the description must carry the behavioral disclosure burden. It does usefully state that the fetch is public and that only group counts are returned, which signals a read-only, low-surface operation. However, it does not describe error behavior, timeout handling, or how the many unrelated parameters are treated.

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

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

The single sentence is front-loaded and compact, but it is under-specified for a tool with nine parameters and no output schema. It is concise without being appropriately informative.

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

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

For a nine-parameter tool with no annotations and no output schema, the description is incomplete: it does not explain how to supply the robots.txt target, what group counts refer to, or how the unrelated parameters (ref, city, feed, json, zone, query) relate to the fetch. An agent cannot reliably invoke the tool correctly from this 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 the baseline is 3 even though the description itself adds no parameter-level meaning. The description does not bridge the gap between the nine optional parameters and the robots.txt fetch, but the schema descriptions do individually document each parameter's role.

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 ('Fetch a public robots.txt') and a specific output ('return group counts only'), making the basic purpose clear and distinct from generic web-fetch or fetch-status tools. However, it does not clarify which of the nine schema parameters designates the robots.txt location, which slightly weakens operational 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 for when to use inspect-robots versus siblings like web-fetch, fetch-status, or normalize-url. There are no explicit conditions, exclusions, or alternative recommendations, so the agent must infer when this tool is appropriate.

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

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

With no annotations, the description carries the full burden. 'Key discarded' does disclose that the key is not retained after the check, which is a useful behavioral trait. However, it does not mention return values, error behavior, or whether external calls are made, so transparency is only partial.

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

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

The two sentences are short and front-loaded, but the definition is under-specified for a seven-parameter tool. The description omits critical information about which parameter to use and what a valid shape check returns, so this is under-specification rather than effective 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?

There is no output schema and no annotation support, and the description does not explain the input-to-purpose relationship or the output format. An agent cannot reliably determine which field holds the Jira key or what the tool will return, making the definition 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?

The input schema documents seven parameters, but none is labeled as a Jira issue key, and the description never connects 'Key' to any of them. The closest hint is the ref description mentioning 'discarded after the shape check,' but that is a Git ref, not necessarily a Jira key. Thus the description adds no meaningful parameter mapping.

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

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

The description states a specific action and resource: 'Check a Jira issue key shape.' This clearly distinguishes it from sibling shape tools like github-repo-shape or domain-shape. However, it does not indicate which input parameter corresponds to the Jira key, so the clarity is slightly reduced.

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 about when to use this tool versus alternatives, nor does it mention any exclusions or prerequisites. It simply states the function without helping an agent decide between jira-key-shape and related shape checkers.

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

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does disclose a useful trait ('Body discarded') and implies a read-only HTTP status check, but it does not mention redirects, timeouts, error behavior, or the fact that most parameters are explicitly discarded.

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

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

The description is two short sentences with no filler; the key result (HTTP status) is front-loaded and 'Body discarded' is a useful qualifier. Every word earns its place.

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

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

With no annotations, no output schema, and nine optional parameters, this short description is not sufficient for confident invocation. It omits the return format, the correct parameter selection, and when to prefer this tool over the many sibling URL/status tools.

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

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

All nine parameters already have descriptive schema text, so the baseline is 3. The description adds the context that the URL is a library-docs URL, which helps map the purpose to the url parameter, but it does not clarify the schema's conflicting 'normalize or cite' wording or explain how the other parameters relate to the tool.

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 an HTTP status for a public library docs URL and that the body is discarded, giving a specific result and input type. It is understandable in isolation, but it does not distinguish itself from sibling URL/status tools like fetch-status or browser-url-ok.

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

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

No guidance is provided on when to use this tool versus alternatives such as fetch-status, status-catalog, or browser-url-ok. The description also does not indicate which of the nine optional parameters should be supplied, leaving invocation decisions to inference.

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

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

With no annotations, the description carries the full burden, but it only says 'Values discarded,' which is ambiguous (values in the JSON object are ignored vs. inputs are discarded after processing). It does not disclose return shape, side effects, or whether the operation is read-only.

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

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

Two short, front-loaded sentences contain no filler. Every word contributes to the core purpose or a clarifying constraint.

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

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

Given nine optional parameters and no output schema, the description is too thin: it does not identify the required input, state the return value, or warn about tool selection. An agent cannot confidently invoke this tool correctly.

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

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

The input schema already documents every parameter (100% coverage), so the description does not need to re-explain them. 'Values discarded' adds only marginal meaning beyond the schema and does not clarify which of the nine optional parameters is the JSON to count.

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 keys') and a clear resource ('a JSON object'), with 'Values discarded' clarifying that values are not part of the result. It does not name a sibling or say which parameter contains the JSON, but the intent 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 guidance is given about when to use this tool instead of alternatives such as validate-json or other JSON/counting tools. There are no conditions, prerequisites, or exclusions, so the agent must guess from the name alone.

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

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

With no annotations, the description must carry full behavioral disclosure. It transparently notes that "Query and fragment are dropped," but it fails to mention that the schema includes eight other parameters with their own behaviors, such as JSON validation and weather hints, or to clarify whether those are ignored, discarded, or part of a larger workflow. This is a significant gap for a tool with no annotation 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 two short sentences with zero filler. The core output behavior is front-loaded, and the secondary detail about dropping query/fragment adds value without bloat.

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

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

This tool has 9 optional parameters, no output schema, and no annotations, yet the description addresses only URL normalization. It does not explain how the other parameters factor into the call, what the return structure looks like beyond the three fields, or why those parameters exist. Given the schema richness, the description is incomplete for safe agent use.

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

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

The schema has 100% parameter description coverage, so the baseline is 3, but the description actively creates confusion by using "query" to mean a URL component while the schema defines a "query" parameter as "Search text; discarded after the length check." It also adds meaning only to the "url" parameter, leaving the relationship of all other parameters to the stated purpose 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 states a specific behavior: "Return origin, host, and path for a URL" — a verb plus resource plus output fields. It does not explicitly differentiate from sibling URL-related tools such as browser-url-ok or figma-url-shape, and the large unrelated input schema creates some ambiguity about the tool's true 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 phrase "Return origin, host, and path for a URL" implies when to use it: whenever URL components are needed. However, it gives no explicit guidance about when not to use it, no alternative tool names, and no exclusions, so the guidance 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. It does disclose one meaningful behavioral trait: no browser process is launched. However, it does not say whether a network request is made, how 'can be opened' is determined, or what the response looks like, preventing a higher score.

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

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

Two short sentences with no filler. The core action is front-loaded, and the key qualifier follows immediately. Every word earns its place.

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

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

For a tool with 9 parameters, 0 required, no output schema, and no annotations, the description is far too thin. It does not tell the agent which parameter to provide, what the result means, or why so many unrelated parameters exist, making correct invocation uncertain.

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

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

Schema descriptions cover 100% of the 9 parameters, so the baseline is 3. The description adds no parameter-level meaning; the schema's 'discarded' notes are the only extra info, and some parameters like host and zone lack such clarification. Still, the description is not required to repeat schema details.

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

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

The description states a specific action and resource: 'Check whether a URL can be opened.' The explicit qualifier 'No browser is launched' distinguishes it from the sibling browser-url-ok, so an agent can pick the right tool without needing to inspect 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 tool gives only implied usage guidance: because no browser is launched, it is presumably a lightweight URL-openability check. However, it never explicitly names alternatives or states when not to use it, leaving the agent to infer the comparison with browser-url-ok or fetch-status.

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

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

No annotations are provided, so the description carries the burden of behavioral disclosure. 'Query discarded' is a useful data-handling disclosure, but the description does not state the return format, whether the operation is side-effect free, or how the other eight parameters are treated.

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, and the core operation is front-loaded. The description is highly economical even if its brevity creates completeness gaps elsewhere.

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

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

Given the tool has 9 optional parameters and no output schema, this description is not complete. It never explains the purpose of the non-query fields or what the tool actually returns, leaving an agent uncertain about invocation semantics.

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 detail beyond what the query parameter already says, and it does not clarify the role of the eight non-query 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 clear verb and resource: count characters in a search query. It aligns with the tool name and adds the behavioral note that the query is discarded. It doesn't explicitly distinguish it from sibling counting tools, but the resource is specific enough.

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, and no mention of conditions or exclusions. An agent cannot tell whether this is preferred over other counting or shape-checking 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 present, so the description carries the full burden of disclosing behavioral traits. It says nothing about read-only vs. mutating behavior, side effects, network access, or output format. This is a complete absence of 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 short, but the brevity is not effective. It omits the verb, usage context, and any connection to the parameters, so it is under-specified rather than concise. There is no structure that front-loads critical 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?

This tool has a 7-property schema with no output schema and no annotations, and the description fails to explain how the properties relate to a catalog of HTTP status codes. An agent cannot determine what constitutes a valid call or what 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?

The input schema has 7 properties, and each has a description in the schema, so schema_description_coverage is high. The tool description itself adds no parameter meaning, but the baseline of 3 applies because the schema already 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?

The description is a bare noun phrase that restates the tool name ('catalog') and names the subject (HTTP status codes) but gives no verb or operation. It doesn't say whether the tool returns a list, looks up a code, or validates something, and it fails to connect the title to the heterogeneous input 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?

There is no guidance about when to use this tool versus siblings like fetch-status or domain-shape. The description provides no context, no exclusions, and no alternative routing, so an agent has no basis for choosing it.

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

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

With no annotations, the description carries the full burden of disclosing behavior. It does disclose that the prompt is discarded and that the output is a template, which is useful. However, it does not say whether the call is side-effect free, what the template actually contains, or whether any of the schema parameters influence the result.

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

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

The description is extremely concise and front-loaded, with no filler words, and two sentences capture the core operation. It may under-specify details, but for a tool whose visible behavior appears to be a static template, the length is arguably appropriate.

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, yet the return value is only described as 'a three-step thinking template' with no detail about the three steps. The description also does not explain why seven disparate parameters appear in the schema or how they interact with the discarded prompt, so an agent cannot fully predict the call's effect.

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 describes all seven parameters with their own descriptions, so schema coverage is effectively 100% and the baseline is 3. The description adds no parameter-level guidance beyond the cryptic 'Prompt discarded', leaving the relationship between the schema fields and the returned template unexplained.

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

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

The description states a concrete action with the verb 'Return' and the object 'three-step thinking template', so an agent can tell this tool produces a fixed template rather than validating or fetching data like its siblings. However, it does not explicitly distinguish itself from an alternative tool by name, and 'three-step thinking template' is left somewhat 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 explicit guidance on when to use this tool versus any sibling tool, and no alternatives are named. The only usage hint, 'Prompt discarded', implies the prompt is not processed, but it does not explain which parameters should be supplied or in what situation the tool is appropriate.

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

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

No annotations are provided, so the description carries the full disclosure burden. It accurately conveys a read-only lookup with no side effects, which is the dominant behavioral trait of a time tool. It does not disclose the return format, the behavior for an invalid or unknown zone name, or the notable fact that only the zone parameter has a functional effect while the other eight parameters are merely shape-checked and discarded.

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

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

The description is a single front-loaded sentence with no filler, no repetition of the tool name, and no empty framing language. Every word contributes to stating the function. It is optimally sized for a simple lookup 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 description plus the schema allow an agent to identify zone as the meaningful parameter and to recognize that the others are discarded. However, there is no output schema and the description does not specify the return format or error behavior for an invalid IANA zone. The unusual presence of eight unrelated parameters such as weather-hint, JSON-validation, and feed inputs also creates a confusing surface that the description does not help disambiguate.

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 percent, so the schema already documents all nine parameters, including the discarded-after-check notes on the decoy inputs. The description adds only the alignment between named IANA timezone and the zone parameter, which is marginal value beyond the schema. The baseline of 3 applies 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 the tool's function as returning the current time for a named IANA timezone, which identifies a specific resource and scope. It distinguishes itself from the sibling tools utc-time (which is fixed to UTC) and iana-zones (which lists zone names rather than reporting the current time). The purpose is concrete, unambiguous, and not a mere restatement of the tool 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?

The use case is implied: an agent should call this when it needs the current time for a non-UTC IANA timezone, and the sibling names utc-time and iana-zones offer implicit contrast. However, the description gives no explicit direction about when to prefer this tool over alternatives and states no exclusions or prerequisites. Routing guidance is left entirely to inference.

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

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

With no annotations, the description carries full responsibility for behavioral disclosure. It only states 'Current UTC timestamp' and does not mention that none of the 9 optional parameters are necessary, that parameters may be ignored, or what format the returned timestamp takes. This is a notable gap given the unusual input schema.

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

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

The description is extremely concise and contains no filler. It is front-loaded and immediately communicates the core purpose. However, it omits a brief caveat about parameters being irrelevant, which would have made it more useful without sacrificing 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?

The tool has no annotations, no output schema, and a puzzling 9-parameter schema with descriptions suggesting unrelated behaviors. The description does not explain that all parameters are optional and effectively irrelevant, nor does it specify the return format. For an agent to call this tool correctly, more context is needed.

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

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

Schema description coverage is 100%, so the baseline is 3. The tool description itself adds no parameter semantics, and the schema's parameter descriptions are oddly unrelated to a tool that simply returns UTC time. Still, the schema does technically describe each parameter, so the description is not required to compensate under the rubric.

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 the current UTC timestamp. It is specific about the resource (UTC time) and the operation (current timestamp), though it does not explicitly differentiate from sibling tools like 'timezone' or 'iana-zones'.

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

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

There is no guidance about when to use this tool versus alternatives such as 'timezone' or 'iana-zones'. No context is provided about whether parameters are needed, ignored, or relevant, so an agent receives no help in deciding when to invoke this tool.

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

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

The only behavioral disclosure is that the body is discarded. With no annotations, the description carries the full burden, but it omits the return value, invalid-JSON failure behavior, and the fact that the other parameters are also discarded.

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

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

Two short sentences, with the primary action front-loaded and no filler. It is as concise as possible for the information it conveys.

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 seven parameters, no output schema, and no annotations, the description is far too thin. It does not tell the agent which parameter constitutes the 'body' or what the validation result looks like.

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

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

All seven parameters have descriptions in the schema, so schema coverage is 100% and the baseline is 3. The tool's description itself adds no parameter explanation, but the schema's own descriptions provide the necessary 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 a clear action—checking whether a body is valid JSON—and notes the body is discarded. The verb and resource are specific enough to identify the tool's core purpose, though 'body' is ambiguous since the schema lists multiple 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?

No guidance is provided about when to use validate-json versus any of the sibling shape-checking tools. There are no conditions, exclusions, or alternative 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?

With no annotations provided, the description carries the full disclosure burden. It adds useful source context ('via Open-Meteo') and implies a read-only external network call. But it does not disclose temperature units, behavior for unknown cities, or that eight of the nine schema parameters are ignored — details an agent would want before trusting the result.

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

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

Nine words, one sentence, zero filler. The core purpose is front-loaded, and the 'via Open-Meteo' specifier earns its place by naming the external dependency rather than leaving it to inference.

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

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

The tool has no annotations, no output schema, and nine optional parameters, yet the description never indicates which parameter to pass or what the return looks like. An agent scanning this tool among 27 siblings must open the schema to learn that `city` is the operative parameter and is still left guessing about units and failure behavior. One sentence is insufficient for this configuration.

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 every parameter in detail (e.g., `city`: 'City name for a public weather hint; discarded after the call'). The description adds no parameter-level meaning beyond what the schema provides, so the baseline of 3 applies.

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

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

The description names the resource ('current temperature'), the scope ('for a city'), and the data source ('via Open-Meteo'), so an agent immediately understands the function. It lacks an explicit verb like 'get' or 'returns', but the noun phrase unambiguously denotes a temperature lookup, and the weather domain implicitly distinguishes it from sibling hint tools such as geo-hint, iana-zones, and utc-time.

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

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

The use case is implied: when an agent needs a city's current temperature, this is the tool. However, it offers no explicit when/when-not guidance, names no alternative tools among the 27 siblings, and never tells the agent that only the `city` parameter is relevant while the other eight schema parameters are discarded.

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

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

With no annotations, the description carries the full behavioral burden. It discloses a useful behavioral trait: the body is discarded, so only status and content type are returned. However, it does not cover redirects, error behavior, rate limits, or any side effects of fetching a public URL.

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, each earning its place. The core purpose is front-loaded, and 'Body discarded' is a valuable clarification rather than filler.

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, yet the description gives no hint about how the parameters relate or which one is the primary input for fetching. The schema descriptions are individually clear, but the agent is left guessing which field to populate and what the return shape looks like.

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

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

Schema description coverage is 100%, so the structured parameters already document url, city, feed, host, json, path, and the rest. The tool description adds no parameter-level detail, but the baseline of 3 applies because the schema handles the documentation burden.

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

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

The description states a specific action and resource: getting HTTP status and content type for a public URL, with the body discarded. This is clear and not a tautology. However, it does not meaningfully distinguish the tool from sibling tools like fetch-status or browser-url-ok.

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

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

The purpose implies the tool should be used when an agent needs HTTP status and content type for a public URL, and 'Body discarded' implies it should not be used when body content is needed. Still, no explicit alternatives, exclusions, or prerequisites are provided, so the guidance remains mostly implicit.

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

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

With no annotations, the description adds a behavioral note: the title is discarded after the call. However, it does not disclose whether the check is a live network call, what the return value looks like, or any rate-limit or auth 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 just two short sentences, front-loaded with the core purpose and followed by a privacy-relevant behavior note. There is no wasted 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 cannot be correctly invoked because the required input parameter is absent from the schema and the description does not specify which schema field, if any, carries the title. No output schema or annotations compensate for this critical gap.

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

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

The description refers to a 'title', but the input schema contains no title property—only ref, url, city, feed, host, json, and path. There is no mapping from 'title' to any schema field, so an agent cannot determine how to pass the required input.

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

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

The description clearly states what the tool does: check whether a Wikipedia title exists. It names a specific verb and resource, but does not distinguish it from 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?

There is no guidance about when to use this tool versus alternatives like web-fetch or other validation tools. The intended use is only implied by the description, with no exclusions or alternative tool mentions.

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