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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states that 'Task text discarded' and that it 'Returns connection methods,' but provides no details on side effects, required permissions, error handling, or what the returned connection methods look like. This is insufficient for a tool with no annotation coverage.

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 and relatively brief, but it is vague and does not efficiently convey the tool's operation. It mentions 'Task text discarded' without explaining what 'task text' refers to, and the sentence structure is not front-loaded with the most critical information for an agent. It is concise but not clearly 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?

The tool has 9 optional parameters, no output schema, and no annotations. The description does not explain how the parameters are used, what the connection methods contain, or how an agent should format a call. The description is grossly incomplete for a tool of this complexity; an agent would likely misuse it without further context.

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

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

The input schema has 100% description coverage, so each parameter is individually documented. The tool description adds no additional meaning beyond the schema—it does not explain how parameters relate to the gateway selection or what each parameter's role is in the task. Baseline 3 applies because the schema handles parameter documentation, but the description fails to provide higher-level context.

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 ('find') and resource ('pay-per-call tool gateway'), and lists example tasks. However, it does not differentiate this tool from siblings like weather-hint, search-query-len, or validate-json, which appear to cover specific tasks. The purpose is understandable but not distinct.

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

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

There is no guidance on when to use this tool versus alternatives. The description mentions task examples but does not explain how to decide between this gateway and the dedicated sibling tools, nor does it state any conditions or exclusions. An agent cannot determine the appropriate context for calling 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 description discloses only that no browser is launched. It does not mention whether a network request is made, what happens on failure, whether the tool can have side effects, or what the return value indicates. With no annotations provided, 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 front-loaded sentence with no fluff. It immediately states the action and the key side-effect limitation.

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 input parameters, no output schema, and no annotations, the one-sentence description is far from complete. It does not explain which parameter is relevant, what the tool returns, or what error/failure 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 descriptions are individually explicit, but most parameters appear unrelated to checking whether a URL can be opened. The 'url' description says 'HTTPS URL to normalize or cite' rather than 'the URL to check', and the main description does not explain how the nine optional fields 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 clear action and resource: 'Check whether a URL can be opened.' However, it does not specify what 'can be opened' means (valid URL, reachable endpoint, browser-compatible), and the input schema contains nine unrelated optional parameters, which muddies the intended 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 for when to use this tool instead of sibling tools such as web-fetch, normalize-url, playwright-url-ok, or fetch-status. The phrase 'No browser is launched' hints at a lightweight check, but there is no explicit indication of prerequisites or typical usage 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?

No annotations are provided, and the description does not explain expected return values, error behavior, side effects, or how inputs are processed. The actual runtime behavior is largely undefined.

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

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

The description is brief and front-loaded with the main purpose, but the second sentence is ambiguous and provides little value. It is concise but not effectively clear.

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 unrelated parameters and no output schema, the description does not tell an agent what to provide or what to expect in return. It is not sufficient 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?

Each parameter has an individual schema description, but those descriptions are unrelated to arithmetic evaluation. None of the nine parameters plausibly represents an expression, so the mapping between the tool description and the input schema is broken.

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

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

The description says the tool evaluates a+b-style arithmetic, but no parameter is provided for the expression. The schema contains only unrelated optional fields such as URLs, timezones, and file paths, making the actual purpose unclear.

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

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

There is no guidance on when to use this tool versus sibling tools, no examples, and no indication which parameter should contain the arithmetic expression. The phrase 'Expression discarded' adds confusion rather than instruction.

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 page content is not stored, which is a useful transparency note. However, it does not mention other side effects such as a network request, redirect behavior, or whether any state is modified, and there are no annotations to fill that 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 and direct, with no redundant phrasing. The two sentences pack the core behavior and a meaningful privacy guarantee into a compact, easily parsed form.

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 incomplete. It does not specify the return format or error behavior, nor does it explain how to choose among the many optional parameters, so an agent would need additional information to call 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?

The input schema has descriptions for all nine parameters, so the baseline is met, but the tool description only references the 'url' parameter. It does not explain whether the other eight parameters are ignored, alternatives, or mutually exclusive, leaving their 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 states a specific action and output ('Return host, scheme, and HTTP status for a URL'), so the core purpose is clear. It could be stronger by distinguishing it from sibling tools such as fetch-status or normalize-url, but the action is unambiguous.

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 rather than sibling tools, and no alternatives or exclusions are mentioned. The privacy note ('Page content is not stored') hints at safety but does not provide 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?

With no annotations present, the description carries the full burden of disclosing side effects. It states 'No identifiers are retained,' which addresses data retention, but it does not disclose whether the tool is read-only, makes network calls, or what happens when inputs are rejected. The behavioral contract is only partially revealed.

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, tightly worded sentence with the verb and subject front-loaded. It avoids redundancy and is appropriately sized for the information it conveys. The only drawback is that it is concise to the point of underspecification, but that is a completeness issue rather than a structure issue.

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

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

Given 9 parameters, no output schema, and no annotations, the description is too thin to be contextually complete. It does not explain how the parameters combine, what the classification result looks like, or what the caller should do with the output. The privacy note is helpful but does not fill the missing functional 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?

Schema coverage is 100%, so the baseline is 3. The tool description adds minimal cross-parameter meaning beyond what the schema already provides; 'No identifiers are retained' hints at a privacy posture but does not explain how the nine disparate parameters relate to the classification output. No schema gaps exist that the description needed to fill.

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 'Show how this request is classified' names a verb and subject, but 'classified' is ambiguous. Given the tool name 'compatibility' and the mix of URL, Git ref, timezone, JSON, path, and search parameters, it is unclear what classification output the caller should expect. The purpose is stated but not sufficiently specific to confidently select this tool.

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 of the 27 sibling tools. The description makes no reference to alternatives such as normalize-url, validate-json, iana-zones, or search-query-len, leaving the caller to guess which tool fits their scenario.

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

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

With no annotations, the description carries the burden of disclosing side effects and boundaries. It only states that WHOIS/ownership data is not included, but does not mention network access, errors, output format, or side effects. Schema-level discard notes are not part of the tool 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 a single clear sentence with no unnecessary words or redundancy. It is concise and well structured for the small amount of 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?

The schema is complex with 9 optional parameters and no output schema, but the description is too sparse to make the tool fully self-explanatory. It does not specify which parameter to use, what the output looks like, or how the extra parameters relate to the stated purpose.

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

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

Schema coverage is 100% and all parameters have descriptions, so the baseline is 3. The tool description adds no additional meaning beyond the 'host' parameter; it does not explain the purpose of the many other optional fields.

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

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

The description states a specific action ('Split a hostname into labels') and a clear resource, with an explicit non-goal ('without WHOIS or ownership data'). However, it does not name any sibling tools or clarify why the schema exposes many unrelated optional parameters.

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

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

The description provides no guidance on when to use this tool versus alternatives such as normalize-url, file-path-ok, or other shape/ok tools. There is no mention of appropriate inputs or when not to use it.

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

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

With no annotations, the description carries the full burden of explaining behavior. It mentions HEAD and public URLs, but it does not cover error behavior, redirects, timeouts, or whether only the 'url' parameter is actually used.

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 with no redundant wording. It is well structured and 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 is too minimal given the unusual schema with nine optional parameters and no output schema. It does not explain the return format, which parameters are honored, or how to handle invalid URLs, leaving important context 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 includes nine parameters, but the descriptions are mostly irrelevant or misleading for a status-check tool. For example, 'url' is described as 'HTTPS URL to normalize or cite', and parameters like 'city', 'feed', and 'zone' appear unrelated to fetching HTTP status. There is no guidance about which parameter is required for the core operation.

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 'HEAD a public URL and return status only' clearly states the verb, resource, and output. It unambiguously indicates this is a lightweight HTTP status check.

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

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

The phrase 'return status only' gives some sense of when to use the tool, but it does not contrast with sibling tools like browser-url-ok, playwright-url-ok, or web-fetch. There is no explicit guidance on when this tool should be preferred 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?

The only behavior disclosed is that the path is discarded. It does not mention side effects, network access, permissions, or error conditions. Since no annotations are provided, the description bears full responsibility, and it falls short.

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 structurally deceptive: the description mentions only URL and path, while the schema exposes many unrelated parameters. The brevity is not an asset because it omits critical scoping information and misleads the 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?

The tool's purpose is unclear given the parameter list; the schema includes parameters that appear to belong to other tools (weather, RSS, timezone, JSON validation). The description does not reconcile this, leaving the agent without a complete understanding of the tool's inputs and outputs.

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 (ref, url, city, feed, host, json, path, zone, query) with descriptions that are generic and unrelated to parsing a Figma URL. The description does not explain how these parameters relate to the tool's purpose, creating a severe semantic mismatch.

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 parses a Figma file URL and discards the path, but it does not clarify what 'parse' means or what output is produced. It is specific about the resource but vague about the operation's result.

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

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

The description does not indicate when this tool should be used over siblings, nor does it mention any alternative tools. It lacks contextual guidance for an agent to select it 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?

With no annotations, the description carries the burden of behavior disclosure. It does state a key side-effect guarantee: no disk access. But it does not state whether the tool returns a boolean, error, or other result, or how invalid paths 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 sentence with no filler. It front-loads the core action and includes a meaningful safety qualifier.

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 leaves out the return type, expected output, and how to distinguish a safe from unsafe path. Given the noisy parameter list and lack of an output schema, an agent would not have enough context to use the tool confidently.

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

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

Although every parameter has a description, the schema exposes nine unrelated parameters with none required, and the description does not clarify which are actually relevant for a path safety check. This creates semantic ambiguity despite the 100% 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 uses the specific verb 'Check' and identifies the resource 'path', and adds the useful constraint 'No disk access.' However, it does not differentiate this from sibling tools like browser-url-ok or normalize-url, and 'safe' is left 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 file-path-ok instead of related tools, nor any conditions or examples. The only contextual note is 'No disk access,' which is a behavioral constraint rather than usage guidance.

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

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

No annotations are provided, and the description does not disclose side effects, network access, read-only status, or any data retention behavior. The phrase 'via Open-Meteo' implies an external call but does not explicitly state 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 brief, but the brevity is not effective because it omits essential information. A short description that lacks actionable details is not well-structured for tool 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?

With nine optional parameters, no required fields, no output schema, and no annotations, the description is far too incomplete for an agent to invoke the tool correctly. The agent cannot infer which parameter is the place name or what the response format will be.

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%, most parameter descriptions are irrelevant or misleading for a geocoding tool (e.g., 'Git ref name', 'JSON text to validate', 'Search text'). All parameters are optional with no required combination, making it impossible to determine how to specify the place.

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 output (latitude and longitude) and the data source (Open-Meteo), but it does not explain how a place is specified or which of the nine optional parameters should be used. The purpose is too vague for an agent to reliably determine what input is needed.

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 related siblings such as weather-hint or timezone. No selection criteria or context is provided, leaving the agent to guess when geo-hint 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 of explaining behavior. It states only that it parses owner and repo, and does not disclose output shape, failure behavior, or whether unrelated parameters are ignored.

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

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

The description is a single concise sentence with no redundant words, and it is appropriately front-loaded with the core action.

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 and no output schema, but the description only covers the basic purpose. It does not explain how the parameters relate to parsing, what the return value is, or why unrelated fields are present, leaving callers with insufficient 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 schema covers all parameters, so the baseline is 3, but the description adds no parameter-level meaning and actually conflicts with the schema's description of 'url' as 'normalize or cite'. Several fields are marked 'discarded' in the schema, yet the description gives no clue why they are accepted.

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

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

The description names a specific verb and resource ('Parse owner and repo from a GitHub URL'), but the input schema contains nine unrelated optional fields, and the 'url' field is described as 'normalize or cite', not parse owner/repo. This mismatch weakens the clarity of 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?

No guidance is given about when to use this tool instead of sibling shape/URL tools such as normalize-url or figma-url-shape. The purpose implies use for GitHub URLs, but no explicit when/when-not conditions 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 supplied, the description carries the full burden. It reveals only that titles are discarded and that a count is returned, but it does not disclose whether parameters are ignored, whether network access is used, or what errors or edge cases 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?

The description is short and front-loaded with the core action and target. The extra sentence 'Titles discarded' is unnecessary but not verbose enough to significantly hurt the score.

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

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

The description omits important context such as whether the tool relies on live network access, whether the count is approximate or exact, and what output format to expect. The bizarre schema also raises unanswered questions about why unrelated parameters are listed, leaving the tool's actual contract ambiguous.

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 nine optional parameters, all with descriptions like 'Git ref name; discarded after the shape check' or 'City name for a public weather hint; discarded after the call'. These are semantically unrelated to counting Hacker News front-page stories and actively confuse the tool's purpose. The schema coverage is technically 100%, but the descriptions add misleading rather than helpful 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 clearly states the tool counts current Hacker News front-page stories, identifying both the action and the resource. However, the odd phrase 'Titles discarded' adds a minor distraction and doesn't clarify whether the count is of story items or distinct submissions.

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 over alternatives. With many sibling tools like web-fetch, fetch-status, and search-query-len, the description provides no contextual cues for selecting hn-front-count specifically.

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 discloses nothing about what the tool does—whether it returns a list, validates input, or performs a side effect. The description is essentially a label with no behavioral information.

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

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

The description is a single short sentence with no wasted words. It is front-loaded with the core concept (IANA timezone names) and a usage context (clock calls). While brevity is a positive, it is so terse that it fails to convey the tool's actual function, but conciseness itself is adequate.

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, none required, no output schema, and no annotations. The description provides almost no context: it doesn't explain what the tool returns, how to invoke it correctly, what the parameters are for in relation to timezones, or any edge cases. For such a complex schema, this description is severely incomplete.

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

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

Schema coverage is 100%, so the baseline is 3. The description adds no meaning beyond the schema—the nine parameters (ref, url, city, feed, etc.) are individually documented in the schema but not connected to the tool's stated purpose. The description provides no additional context to clarify how these parameters relate to IANA timezone names, so it doesn't enhance parameter understanding.

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

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

The description 'Common IANA timezone names for clock calls' is a noun phrase, not a clear verb+resource action. It doesn't state whether the tool lists, validates, or returns timezone names. The mention of 'clock calls' gives context but fails to specify the operation, making it hard for an agent to know what calling this tool actually accomplishes.

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 on when to use this tool versus alternatives like timezone or utc-time. The phrase 'for clock calls' implies a purpose but doesn't clarify when this tool is preferable or when it should be avoided. There is no mention of alternative tools or exclusion 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?

The description does not disclose details about the network request, potential errors, or that it is read-only. It only says 'Fetch', which implies access but lacks explicit transparency about side effects.

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

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

The description is a single sentence that conveys the core purpose without extraneous 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 tool has a complex schema with many irrelevant parameters, and the description provides no information about the expected output format beyond 'group counts', nor does it explain error handling or why unused parameters exist.

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, but the tool description does not indicate which parameter contains the URL or explain the relevance of the other parameters. The schema descriptions are generic and misleading (e.g., 'discarded after the shape check'), leaving the agent without clear 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 clearly states the verb 'Fetch' and the resource 'public robots.txt', with the result 'group counts only'. However, it does not explicitly distinguish this tool from sibling fetch tools like web-fetch or fetch-status.

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

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

The description implies usage for inspecting robots.txt files but provides no explicit guidance on when to choose this over other fetch tools, nor does it mention any exclusions.

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

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

With no annotations, the description carries the full burden of explaining side effects. 'Key discarded' is vague and contradictory: if the key is discarded, it is unclear what value is checked or what the tool actually does with the input.

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

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

The description is extremely short, but it is under-specified rather than effectively concise. The second sentence introduces confusion instead of clarifying behavior, so the brevity does not serve the 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?

The description omits the essential input mapping: there is no 'key' parameter in the schema, so the agent cannot determine how to pass the Jira key. It also gives no information about return values, errors, or expected output.

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, none of them represents a Jira issue key, and the tool description adds no parameter mapping. The parameter descriptions (url, city, host, json, path, zone, query) appear unrelated to the stated purpose, making them misleading for this 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 and target ('Check a Jira issue key shape'), but the follow-up 'Key discarded' and the absence of any key input parameter make it unclear what is actually checked. It only partially distinguishes sibling shape tools by naming Jira keys.

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 versus alternatives like domain-shape, github-repo-shape, or validate-json. The description provides no use-case context or 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?

The description reveals no behavioral details such as read-only status, side effects, return values, or error conditions. Annotations are absent, so the description carries the full burden and fails to disclose observable behavior.

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

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

The description is extremely short, which makes it concise in length, but it omits essential structural elements like a clear verb and object. The brevity detracts from usefulness because the core purpose is still unclear.

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 likely function as a language-tag check, the description lacks necessary context such as input format, output type, and relationship to the sibling tools. There is no output schema or behavioral detail, so the overall context is incomplete.

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

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

Although the schema covers all nine parameters with descriptions, those descriptions appear generic and reused from unrelated tools (e.g., 'Git ref name', 'HTTPS URL to normalize or cite'). None of them explain how a parameter relates to 'ISO 639 language tag bg', leaving selection and usage 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 'ISO 639 language tag bg.' does not state what the tool actually does. It gives no verb, resource, or expected action, so an agent cannot determine whether this checks, converts, or generates a language tag.

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. With many sibling tools that perform checks and lookups, there is no indication of the appropriate context for 'lang-bg'.

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 all behavioral context, but it only says the body is discarded. It does not disclose HTTP method, failure behavior, side effects, rate limits, or what is returned on non-2xx responses.

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

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

The description is very short and free of fluff, but it is more of a fragment than a structured tool description. It lacks sections or context, though the two sentences it has are not redundant.

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 only provides a vague one-line purpose. It does not specify the return format, error behavior, or relationship to dozens of sibling tools, so an agent cannot reliably determine invocation parameters 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?

All 9 parameters have descriptions, but many are unrelated to the stated purpose (city, feed, timezone) or explicitly say they are discarded after checks. The description does not explain which parameters are actually used, how they combine, or whether any are 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?

Description states the tool returns HTTP status for a URL, but 'public library docs URL' is ambiguous and the expected output (status code? status text?) is not explicit. It does not clearly distinguish this from sibling status tools such as fetch-status or status-catalog.

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 call this tool versus sibling tools like fetch-status, browser-url-ok, normalize-url, or status-catalog. There are no prerequisites, constraints, or examples.

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 that values are discarded, but it does not disclose return format, error behavior, read-only nature, or side effects. With no annotations, the agent has little information about what to expect beyond the count semantics.

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 with no fluff. However, it omits essential details such as which parameter is used, so brevity comes at the cost of 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?

The description does not explain the output, the meaning of key counting with nested objects, or how to handle invalid input. Given the large input schema and lack of output schema, important 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 description does not map any input parameter to the JSON object to count. The 'json' parameter is present and likely intended, but its schema description refers to validation and discarding after a check, which is inconsistent with counting keys.

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 basic purpose: count keys in a JSON object and discard values. However, it does not specify which input parameter contains the JSON object, and the input schema includes many unrelated parameters, so the purpose is not fully actionable.

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

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

No guidance is given about when to use this tool versus alternatives such as validate-json or calc-eval. The description only states the operation, not the applicable context.

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 burden of explaining side effects, network access, or error behavior. It only states the output shape and dropped components, leaving important behavioral aspects undisclosed.

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, stating the action and output clearly in two short sentences. However, the brevity contributes to missing context about the unrelated parameters, but this is more a completeness issue than a conciseness issue.

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

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

Given the complex nine-parameter schema, no output schema, and no annotations, the description is far too incomplete. It does not explain which parameters are used, how invalid URLs are handled, what the output format is, or what side effects might occur.

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 each parameter has a schema description, those descriptions are inconsistent with the tool purpose (e.g., 'city', 'feed', 'zone', 'query') and do not clarify how or whether they relate to URL normalization. The description fails to map the relevant parameters to the stated behavior.

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

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

The description clearly states the tool returns origin, host, and path for a URL and drops query and fragment. However, the purpose is somewhat undermined by the large set of unrelated optional parameters in the schema, which makes the actual resource scope ambiguous.

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

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

There is no guidance on when to use this tool versus alternatives such as browser-url-ok, fetch-status, or web-fetch. No conditions, prerequisites, or typical use cases 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 present, the description carries the full burden of disclosing behavior, but it only says 'No browser is launched.' It does not state whether network requests are made, what side effects might occur, what inputs are actually used, or what outputs/errors are produced. The many 'discarded' parameter descriptions further obscure the actual behavior.

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

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

The top-level description is concise, but the schema is bloated with nine parameters, most of which appear irrelevant to the stated purpose. The structure mixes unrelated concerns (Git refs, timezones, weather, RSS, JSON) and does not group or explain which parameters matter. While the text is short, the overall definition is not well-structured for the claimed functionality.

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 output schema, no annotations, and no explanation of how the many parameters relate to URL checking. There is no indication of return value, error conditions, network behavior, or examples of valid usage. Given the complexity introduced by nine loosely-described parameters, the description is far too incomplete 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?

Although every parameter has a schema description, the semantics are nonsensical for a URL-openability check. Parameters like 'city', 'feed', 'zone', and 'query' appear to be copy-pasted from unrelated tools, and several descriptions say values are 'discarded' without explaining their relevance. Required parameters are zero, so it is unclear what input, if any, actually drives 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 states a verb and resource ('Check whether a URL can be opened') and mentions that no browser is launched, giving a basic purpose. However, the schema contains many seemingly unrelated parameters (city, feed, zone, query, etc.) that are not connected to URL openability, which makes the actual intended operation confusing. The description does not clarify what 'opened' means in terms of success criteria or return behavior.

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 closely related siblings such as fetch-status, web-fetch, or normalize-url. The description notes that no browser is launched, but this is not framed as a selection criterion or compared with alternatives. An agent would not know whether to pick this tool over other network/URL-related tools.

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

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

No annotations are provided, and the description discloses only that the query is discarded. It does not mention return behavior, error cases, or any other side effects.

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

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

Two short sentences, no filler; information is 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 no output schema, the description should state the return value or format; 'count' implies a number but it is not explicit, and no edge cases are mentioned.

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 all parameters, but the description does not clarify that only 'query' is relevant, leaving the other eight optional parameters 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 a specific action: count characters in a search query, and identifies the resource. It is distinguishable from sibling tools such as memory-key-count or fetch-status.

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

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

The use case is implied by 'count characters', but there is no explicit guidance about when to choose this tool over alternatives or what inputs are 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 and the description does not mention side effects, read-only behavior, output, or failure modes. Cryptic parameter notes like 'discarded after the shape check' and 'no disk access' do not clarify actual runtime behavior.

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

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

The description is very brief, but the 9-field schema with unrelated parameters makes the tool cluttered and confusing. Brevity comes at the expense of essential clarity, so the structure is 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 optional inputs, no output schema, and no annotations, a one-sentence description is far from complete. Missing input/output semantics, example usage, and any relationship to sibling tools makes the tool effectively unusable without external knowledge.

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

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

Though every parameter has a description, each description is inconsistent with the stated purpose: 'Git ref name', 'City name for a public weather hint', 'Search text; discarded after the length check', etc. These appear to be generic leftovers from unrelated tools, not meaningful inputs for an HTTP status catalog.

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

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

The description 'Short catalog of common HTTP status codes' is only a noun phrase and does not state an explicit action or usage. The 9 parameters (ref, url, city, feed, host, json, path, zone, query) have descriptions unrelated to HTTP status codes, making the tool's actual purpose ambiguous.

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

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

There is no guidance on when to use this tool or when to prefer a sibling tool. The context shows many related tools, but the description does not distinguish status-catalog from tools like fetch-status or browser-url-ok, leaving an agent unable to decide when to invoke 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 does not disclose side effects, read-only status, or failure behavior. The phrase 'Prompt discarded' hints that input may be ignored, but this is not explained clearly enough to set expectations.

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 with the action, but the second sentence adds confusion rather than clarity. It earns a middle score because brevity is present but not paired with meaningful structure.

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 examples, the description is far too incomplete for an agent to understand what the tool returns. The term 'three-step thinking template' is never elaborated, so the tool's behavior remains ambiguous.

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 covers all nine parameters, their descriptions are nonsensical or irrelevant to the stated purpose (e.g., 'Git ref name; discarded after the shape check'). There is no connection between the parameters and the 'three-step thinking template' output, and no guidance on which, if any, parameters matter.

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

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

The description identifies a verb ('Return') and a resource ('three-step thinking template'), but the phrase 'Prompt discarded' is cryptic and unexplained. It is unclear whether this is a static template, a function of any inputs, or related to the tool's name 'think-steps'.

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 sibling tool. No context, examples, or conditions for invocation 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 transparency burden but only states the happy-path result. It does not mention behavior for invalid timezone names, output format, or whether all other parameters are ignored despite the schema showing many unrelated optional fields.

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 with no filler or redundant details. It is well-suited for a simple time 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?

For a tool with nine optional parameters and no output schema, the description is too thin. It omits output shape, error handling, and the role of other parameters, and does not connect to sibling 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?

Schema descriptions already cover all parameters (100% coverage), so the baseline is met. However, the tool description does not clarify that only 'zone' should be used or that the other eight optional parameters are irrelevant, leaving room for 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 the tool returns the current time for a named IANA timezone, which aligns with the tool name. It is less explicit about what output format is returned, but the core purpose is unambiguous.

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 sibling time-related tools like utc-time, iana-zones, or geo-hint. There are no use-case examples or exclusions.

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

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

With no annotations, the description carries the full burden of disclosing behavior; it only states the output is a current UTC timestamp. It does not mention return format, error behavior, or that the nine input parameters are effectively 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 short sentence with no redundant words. It is appropriately sized for the simple stated purpose.

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 sparse and leaves out important operational context such as the output timestamp format (e.g., ISO 8601 or epoch), whether parameters are ignored, and possible error conditions. Given no output schema, this missing context reduces completeness.

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

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

The input schema has 100% coverage and each parameter includes a description, many noting they are discarded, so the schema already provides parameter semantics. The tool description itself adds no additional parameter meaning, which is acceptable given the 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 'Current UTC timestamp' clearly states the tool's function and resource, making it easy to distinguish from sibling tools like timezone or iana-zones. It lacks an explicit verb, but the intent is unambiguous.

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 usage when the current UTC time is needed, but it does not explicitly state when to prefer this tool over alternatives such as timezone. No exclusions or conditions are provided.

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

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

No annotations are provided, so the description carries the full burden. It states the body is discarded, implying no side effects, but does not explain the role of the other parameters or whether any of them influence the validation. The parameter descriptions ('discarded after the shape check' etc.) are inconsistent and unclear.

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

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

The description is short but not effective. It omits critical details about the relationship between the description and the schema, and the schema itself contains redundant or irrelevant fields, adding noise without 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?

The tool is assessed as having moderate complexity (9 parameters, no output schema), but the description fails to explain which parameters are actually used, what the expected output is, or how the tool integrates with the surrounding toolset. This is severely incomplete for an agent to call 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 the schema has 100% description coverage, the descriptions are completely irrelevant to JSON validation. For example, 'url' is described as 'HTTPS URL to normalize or cite', and 'city' as 'City name for a public weather hint'. No parameter description clarifies how to supply the JSON body, making the schema misleading.

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

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

The description states a verb and resource ('Check whether a body is valid JSON') but is vague about what constitutes the 'body' and how it maps to the input schema. The presence of nine unrelated parameters (ref, url, city, feed, etc.) further muddies 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 alternatives. The sibling tool list includes many other validators and fetchers, but the description does not differentiate this tool or indicate appropriate use cases.

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 mentions using Open-Meteo, implying an external network call, but does not disclose how non-city parameters are handled, what happens for missing or invalid city values, or what the response looks like.

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

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

The description is a single focused sentence with no fluff, and the key information (weather, city, data source) is 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?

Given a 9-parameter schema, no output schema, and no annotations, the description is too sparse. It does not explain the role of the extra parameters, expected output units or format, error behavior, or provide enough context to call the tool correctly beyond guessing that 'city' is the input.

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 irrelevant or copied from other tool contexts (ref, url, feed, host, json, path, zone, query). The tool description only clarifies 'city', leaving the other eight optional parameters unexplained in relation to weather-hint.

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 the current temperature for a city via Open-Meteo, which is clear and distinguishes it from sibling tools like geo-hint or timezone. It lacks an explicit verb like 'Returns', but the intent is unambiguous.

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, and the schema contains many seemingly unrelated optional parameters. The agent is left to infer that only 'city' should be used, with no explanation of the other parameters.

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

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

With no annotations, the description carries the full burden, and it does disclose that the body is discarded. However, it does not mention whether redirects are followed, what happens on errors, whether authentication is needed, or the exact return format, 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 prose description is concise and each sentence carries meaning, explicitly stating the result and the discarded body. However, the overall structure is undermined by the bloated and unrelated input schema, though that is more a completeness issue than a conciseness issue.

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

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

The description is not complete enough to call the tool correctly. There is no output schema and no stated return format, all nine parameters are optional, and the schema does not clarify which parameter should be used for the described URL fetch. The tool definition leaves too much essential context unspecified.

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 parameter descriptions are severely inconsistent with the tool's stated purpose. The 'url' parameter is described as 'HTTPS URL to normalize or cite' rather than to fetch, and the other seven parameters (ref, city, feed, json, path, zone, query) are entirely unrelated to HTTP status or content type. This gives an agent no reliable mapping from inputs to expected 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 action result (HTTP status and content type for a public URL) and explicitly mentions body is discarded, but the input schema introduces eight unrelated optional parameters with contradictory descriptions. This muddles the tool's actual purpose and makes it unclear what the tool is really for.

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 'Body discarded' implicitly tells the agent not to use this tool to retrieve page content, but there is no explicit guidance about when to use this tool versus siblings like fetch-status, browser-url-ok, or normalize-url. No alternative tools or conditions are mentioned.

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

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

With no annotations, the description must disclose side effects and behavior. It only says the title is 'discarded after the call,' but does not mention whether the tool performs a network request, whether it is read-only, or what happens on failure.

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, with no unnecessary wording. However, it is too terse for a tool with nine unrelated parameters and includes a confusing second sentence about discarding the title.

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 and schema together do not explain what parameters are relevant, what the return value looks like, or what 'exists' means. The lack of an output schema and the unrelated parameter descriptions make the tool incomplete for an agent to use 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 are all present but unrelated to Wikipedia title checking. The description does not map the concept of 'title' to any parameter, and none of the nine optional parameters is clearly the title, so the parameter semantics are confusing and unusable.

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

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

The description clearly states a specific action: checking whether a Wikipedia title exists. However, the input schema contains no 'title' parameter and includes many unrelated optional fields, so the clarity is undermined by the mismatch.

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 any of the sibling tools. It also implies a 'title' input that the schema does not provide, which could mislead an agent into using it incorrectly.

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