Language th

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

The description is transparent about discarding task text and repeatedly notes that inputs are discarded after shape checks, with one mention of no disk access. However, it does not disclose whether the tool makes external network calls, whether it incurs costs, or whether it has any side effects beyond returning connection methods.

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

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

The description is only three short sentences, with the main action stated first and no redundant prose. It efficiently communicates the core purpose, return value, and a key data-handling note.

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 states what the tool returns but not how to invoke it, which parameters to supply for a given task, or what a 'connection method' actually looks like. With nine optional parameters, no output schema, and no annotations, an agent lacks enough context to call 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?

The input schema provides 100% parameter descriptions, so the baseline for this dimension is met even though the top-level description adds no parameter-level detail. The schema descriptions themselves are cryptic, but the tool description does not contradict them.

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

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

The description names a specific action—'find a public pay-per-call tool gateway'—and gives example task categories, but it never defines what a 'tool gateway' is or how the task is expressed. The connection between the provided input parameters and the task being indexed remains implicit.

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?

It lists example tasks like weather, search, scrape, or voice, which gives a rough sense of applicability, but there is no explicit guidance on when to use this tool versus sibling tools. An agent cannot determine the selection criteria or how to phrase the task.

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 behavior is opaque: 'can be opened' is undefined—does it perform a network request, check syntax, or validate DNS? The parameter list includes unrelated fields (city, zone, query) with descriptions mentioning 'discarded', suggesting a generic shape checker, but the tool description does not clarify this. Without annotations, the description fails to convey 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 description is remarkably concise—two short sentences—with no fluff or redundancy. It front-loads the core purpose and adds a key differentiator in the second sentence.

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

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

Given the tool's 9-parameter schema and no output schema, the description is incomplete. It fails to explain how the parameters relate to the tool's purpose, what 'can be opened' means operationally, or what the return value indicates. This leaves significant gaps for an agent.

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

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

The schema description coverage is 100%, so the baseline is 3. However, the tool description does not add any meaning beyond the schema's sometimes confusing parameter descriptions, nor does it explain the relevance of parameters like city or zone to URL checking.

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

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

The description clearly states the tool's purpose: 'Check whether a URL can be opened.' It uses a specific verb and resource, and the additional clause 'No browser is launched' differentiates it from browser-based tools like playwright-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 description implies a lightweight check by noting no browser is launched, but it does not explicitly state when to use this tool over alternatives such as fetch-status or normalize-url. No comparative guidance is provided.

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

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

No annotations are provided, and the description is misleading: it claims the expression is discarded but no expression parameter exists. It also does not disclose side effects, persistence, failure behavior, or what the tool returns.

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

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

The description is short, but the second sentence 'Expression discarded' is confusing and tied to no parameter. The brevity comes at the cost of clarity rather than efficient communication.

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

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

With no output schema, no annotations, and nine seemingly unrelated optional parameters, the description is far too incomplete for an agent to know what to pass or what result 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 description adds no meaning to the nine parameters. Each schema description appears unrelated to arithmetic (e.g., 'Git ref name', 'IANA timezone name'), and the top-level description never maps the parameters to an arithmetic expression or result.

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 'Evaluate a+b style arithmetic' but the schema contains no expression or arithmetic parameters; instead it lists ref, url, city, feed, host, json, path, zone, and query. The phrase 'Expression discarded' contradicts the apparent action and does not identify what the tool actually does or how it differs from sibling tools.

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

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

No guidance is given on when to use this tool versus alternatives. The description does not explain what input the agent should provide, what conditions favor this tool over siblings, or what the expected usage pattern is.

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 page content is not stored, giving some insight into the tool's side effects. However, it does not disclose potential network requests, error handling, rate limits, or whether the operation is read-only. Without annotations, this level of transparency is incomplete.

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, using two short sentences to convey the core function and a key limitation. There is no redundant or irrelevant content, and the structure is 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 fails to explain how the nine optional parameters should be used, which one is the primary input, or how they relate to the output. It omits examples or clarifications that would help an agent decide what to pass. The tool appears to be a simple citation checker, but the parameter ambiguity prevents full self-contained understanding.

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, most descriptions are generic mismatches (e.g., 'city' as a weather hint, 'ref' as a Git ref) that do not relate to the tool's stated purpose of returning host/scheme/status for a URL. The 'url' parameter description is relevant, but the roles of the other eight parameters remain confusing and 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 precisely what the tool does: it returns the host, scheme, and HTTP status for a URL. It also explicitly notes that page content is not stored, which clarifies the tool's scope. This is specific and actionable for an agent.

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 a hint about when to use the tool (when only host/scheme/status are needed, not content) but does not explicitly mention alternative tools or conditions for selection. It lacks guidance on how to choose this over similar siblings like fetch-status or web-fetch.

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 no identifiers are retained, implying a privacy-safe behavior, but does not state whether the tool has any side effects, modifies data, or returns sensitive information. Without annotations, the description leaves uncertainty about the tool's full behavioral impact.

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, consisting of two short sentences. It front-loads the main purpose and then adds a privacy note, making it concise and well-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 description lacks any information about the output format or content, making it impossible to know what the tool returns. It also does not clarify the tool's niche among the many sibling tools, such as whether it overlaps with 'normalize-url' or 'fetch-status'.

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

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

The schema descriptions for all 9 parameters are present and clear, covering the meaning of each field. The tool description itself adds no further explanation of how parameters interact or affect the classification, so it relies entirely on the schema.

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

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

The description states 'Show how this request is classified' but does not specify what classifications exist or what exactly is being classified. It is vague about the tool's core function and lacks a specific verb like 'get' or 'check' that would clarify the action.

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. The only additional note is about identifier retention, which is a privacy concern rather than 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?

No annotations are provided, so the description carries the full burden of explaining side effects, read-only behavior, or data access. It states the tool does not use WHOIS or ownership data, but does not disclose whether it performs network calls, modifies state, or has any rate limits.

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, stating the core action and scope in one short sentence. No filler or redundant wording is present.

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 parameters, no required fields, no output schema, and a description that only mentions hostname splitting, the description is not complete enough for an agent to understand which parameters are relevant, what the expected return value is, or how to handle the unrelated-looking parameters.

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 descriptions cover 100% of parameters, most parameter descriptions are generic and appear unrelated to the stated purpose of splitting a hostname. There is no explanation of how parameters like city, feed, json, path, zone, or query relate to the operation, leaving an agent unable to determine which inputs are actually meaningful.

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

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

The description clearly states the action 'split a hostname into labels' and includes a negative qualifier about WHOIS or ownership data, which helps define scope. However, it does not mention the many unrelated parameters in the schema, creating some ambiguity about the tool's true 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?

There is no guidance on when to use this tool versus alternatives, and no mention of prerequisites or expected input formats. The negative qualifier is the only hint, but it does not clarify use cases or exclusions.

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

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

The description states the HTTP method (HEAD) and that only status is returned, which provides some behavioral transparency. However, it does not disclose error handling, redirect following, timeouts, or any side effects. With no annotations, more detail would be expected, but the core behavior is 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, concise sentence that immediately conveys the tool's purpose and output. There is no unnecessary elaboration or 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?

While the tool's basic purpose is simple, the presence of unrelated parameters and the lack of explanation about which are relevant makes the description incomplete in context. Users cannot confidently determine what inputs are required or how the tool processes them, especially given the 100% schema coverage that suggests all parameters might be meaningful.

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 9 parameters, but their descriptions are largely irrelevant and misleading (e.g., 'Git ref name; discarded after the shape check' for 'ref'). Only 'url' seems semantically aligned with the tool's purpose, but the description does not clarify which parameters are actually used or how the tool selects a URL when multiple are provided. The parameter descriptions add confusion rather than clarity.

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

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

The description clearly states the tool performs a HEAD request on a public URL and returns only the status. This is a specific verb and resource. However, it does not explicitly differentiate from sibling tools like browser-url-ok or playwright-url-ok, which may also check URL status but with different methods or depth.

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

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

The description gives no guidance on when to use this tool versus alternatives. There is no mention of fallback scenarios, preferred contexts, or conditions that would make this tool more appropriate than others. Users are left to infer its role from the name and description alone.

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

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

No annotations are present, and the description gives no indication of side effects, permissions, or internal behavior. The phrase 'Path discarded' is unclear and does not explain what the tool actually does with the 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?

The description is only one sentence and lacks any structured detail. While concise, it omits essential information about the tool's function, input expectations, or output format.

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, no examples, and no explanation of what 'shape' refers to. The tool is poorly defined, making it impossible for an agent to know what to expect or how to interpret the result.

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

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

The parameter descriptions are generic and appear auto-generated (e.g., 'HTTPS URL to normalize or cite', 'City name for a public weather hint') and are not tailored to the tool's supposed purpose of parsing Figma URLs. Several parameters (city, feed, zone) are wholly irrelevant, adding confusion rather than 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 'Parse a Figma file URL. Path discarded.' is vague about what 'shape' means and what output is produced. It does not clearly distinguish from sibling tools like normalize-url or fetch-status, which also deal with URLs.

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

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

No guidance is provided on when to use this tool versus alternatives. There is no context about scenarios where this tool is appropriate or how it differs from similar tools.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does state 'No disk access,' which is useful, but it fails to disclose that the tool accepts and discards a variety of input types (as implied by the schema's 'discarded after the shape check' notes). It also does not describe the return format, error behavior, or side effects. The mismatch between the path-focused description and the multi-input schema is a 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 extremely concise, consisting of two short sentences. The core purpose is stated first, and the safety note ('No disk access') is front-loaded. There is no wasted text, and it is appropriately brief for a simple shape-checking tool, even though it underrepresents the schema's breadth.

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

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

Given the tool has 9 optional parameters and no output schema, the description is critically incomplete. It does not explain what the tool actually does with the non-path parameters, nor does it describe what the agent should expect as a return value. The mismatch between the description and the schema leaves an agent uncertain about how to invoke the tool correctly, making it inadequate for a tool of this complexity.

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

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

The input schema provides descriptions for all 9 parameters, achieving 100% coverage. The tool description adds no additional parameter semantics; it does not explain how the parameters relate to the 'path' check or why fields like 'url' and 'json' are included. Since schema coverage is high, the baseline of 3 applies, but the description adds zero value beyond the schema.

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

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

The description states a clear verb ('check') and resource ('path'), but it is misleading because the schema accepts 9 different input types (ref, url, city, feed, host, json, path, zone, query). It does not accurately convey the tool's actual scope as a generic shape checker, and it does not differentiate from sibling shape-checking tools beyond mentioning 'path' and 'no disk access'.

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

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention that it should be used for path validation, nor does it direct agents to other tools for URL, domain, or other shape checks. The only implicit hint is the word 'path', but with many sibling tools, this is insufficient.

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

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

No annotations are provided, so the description carries the full burden of disclosing side effects. It does not state whether the tool is read-only, whether it makes external network calls, or whether any data is retained or discarded. The parameter descriptions mention 'discarded' but the main description omits this.

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 fluff, making it easy to read. However, its brevity contributes to ambiguity, so it is not maximally effective as a standalone explanation.

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

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

With 9 optional parameters, no required fields, and no output schema, the description leaves the agent uncertain about what input is needed and what response format to expect. The schema descriptions do not tie the parameters to the geocoding task, so the tool is not adequately self-contained.

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 largely generic and many are irrelevant to geocoding (e.g., ref, url, feed, json, path). The description does not map the concept of 'a place' to any specific parameter, and the presence of 9 unrelated optional parameters creates confusion rather than clarity.

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

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

The description states the tool returns latitude and longitude for a place via Open-Meteo, which conveys a clear geocoding purpose. However, it lacks an explicit verb and does not clarify what constitutes a 'place' or which input parameter should be used.

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

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

There is no guidance on when to use this tool versus sibling tools such as weather-hint or timezone. The description does not mention selection criteria, prerequisites, or alternative scenarios.

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

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

The description indicates a pure parse operation with no obvious side effects, but it does not mention behavior on invalid URLs, whether normalization occurs, or whether the operation is read-only. With no annotations provided, the description carries the full burden.

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

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

The description is a single concise sentence with no unnecessary words or repetition.

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

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

The description omits essential context such as the return format, how invalid or non-GitHub URLs are handled, and why the schema includes many apparently unrelated optional parameters. This makes the tool under-specified for an agent.

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

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

The schema contains nine optional parameters, but the description only relates to parsing a GitHub URL. The 'url' parameter description says 'HTTPS URL to normalize or cite' rather than 'GitHub URL to parse owner and repo,' and the other parameters like city, zone, and query are irrelevant. An agent cannot confidently determine which parameter to pass.

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

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

The description clearly states the tool's action: parse owner and repo from a GitHub URL. It names the specific resource and the expected extraction, though it does not describe the output format.

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

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

The intended use is implied by the tool name and description, but there is no explicit guidance about when to choose this tool over similar sibling tools such as figma-url-shape or jira-key-shape.

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 full burden. It does note that 'Titles discarded,' implying a read-only operation that ignores title data, but it does not clarify return value, side effects, or whether the count is exact or approximate.

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 to the point, which is efficient. However, it lacks any structure (e.g., a summary, parameter explanation, or examples) and reads more like a fragment than a complete tool description.

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 complexity (counting a list of stories) and the mismatched parameter schema, the description is severely incomplete. It does not explain how parameters like 'query' or 'zone' could influence the result, nor does it specify the output format.

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 parameters (ref, url, city, feed, host, json, path, zone, query) appear completely unrelated to counting Hacker News stories. Their generic descriptions (e.g., 'City name for a public weather hint') do not connect to the tool's stated purpose, making the schema misleading for an agent.

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 ('Count') and a specific target ('current Hacker News front-page stories'), giving a clear purpose. It is distinguishable from sibling tools like fetch-status or web-fetch, though it does not explain how the listed parameters relate to this purpose.

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

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

No guidance is provided on when to use this tool versus alternatives. The description offers no conditions, examples, or comparisons to sibling tools that might also involve Hacker News or story fetching.

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 alone must convey behavior. It does not disclose side effects, return format, or whether any parameters are actually used. The description is too sparse to provide meaningful 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 brief, but brevity comes at the cost of clarity. It lacks a clear verb, scoping information, or any structural breakdown that would help an agent understand the tool. It is concise but not effectively 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?

With no output schema, no usage context, and a description that does not explain the nine optional parameters, the tool is far from complete. An agent cannot determine what this tool does, what it returns, or how to call it effectively.

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

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

Although the schema has descriptions for all nine parameters, they are largely unrelated to the stated purpose of IANA timezone names. Parameters like 'ref', 'url', 'city', 'feed', 'host', 'json', 'path', and 'query' appear to be decoys or irrelevant, and the description does not explain how any parameter maps to the tool's function. Only 'zone' is topically related, but its role is still 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 'Common IANA timezone names for clock calls' is a vague noun phrase rather than an explicit statement of functionality. It does not clearly say whether the tool lists, validates, or returns timezone names, and it fails to distinguish itself from sibling tools like 'timezone' or 'utc-time'.

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

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

The description provides no guidance on when to use this tool versus alternatives such as 'timezone' or 'utc-time'. There is no mention of intended scenarios, prerequisites, or exclusions.

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

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

The description discloses the read-only fetch behavior and output shape at a high level, but does not mention error handling, redirects, parsing behavior, or whether network requests are made. With no annotations, this leaves important behavioral details unspecified.

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

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

The description is a single, direct sentence with no unnecessary words. It is well-structured and immediately understandable.

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 parameters, no output schema, and no explanation of which parameter identifies the robots.txt URL, the description is far from complete. An agent cannot reliably invoke this tool with the correct arguments based on the information provided.

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

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

The parameter descriptions appear copied from unrelated schemas ('Git ref name', 'JSON text to validate', 'IANA timezone name') and do not map to fetching robots.txt. The tool description itself does not explain how any parameter is used, leaving the agent unable to select the correct argument.

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 output: fetch a public robots.txt and return group counts only. However, with nine unrelated parameters and no indication which parameter selects the target, the purpose is less actionable than it could be.

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 indication of when to use this tool versus any sibling tool such as web-fetch, fetch-status, or normalize-url. No prerequisites, alternatives, or context for use 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?

The description only states 'Key discarded,' implying no persistence, but it does not disclose return values, error behavior, network access, or side effects. With no annotations provided, the description bears the full transparency burden and 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 description is very short and front-loaded, but it omits essential information such as how the key is supplied and what 'shape' validation entails. The structural mismatch between description and schema further reduces effectiveness.

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, no description of return values, no example usage, and no explanation of how the many optional parameters relate to a Jira key check. The tool cannot be correctly invoked based solely on the provided description and schema.

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 nine optional string parameters, but none of them is a Jira issue key. Their descriptions (e.g., 'Git ref name; discarded after the shape check', 'City name for a public weather hint') are unrelated to the stated tool purpose and provide no meaningful semantics for checking a Jira key shape.

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 'Check a Jira issue key shape' which is specific, but the input schema contains no 'key' parameter and instead lists unrelated fields like url, city, feed, host, json, path, zone, and query. This mismatch makes the tool's 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?

No guidance is provided on when to use this tool versus sibling tools such as github-repo-shape, domain-shape, or validate-json. There is no mention of expected input selection or invocation 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?

There are no annotations and no description of side effects, return values, or failure modes. The description provides no behavioral contract at all.

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 single sentence is essentially a tautology that adds no structural or functional information. It is concise without being 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?

With 9 optional parameters, no output schema, and no annotations, this description is far too sparse to place the tool in context. It does not explain which parameters are relevant or what the tool returns.

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 descriptions for all 9 parameters, but the tool description adds no parameter-specific meaning and several parameters appear unrelated to a language tag. Since schema coverage is 100%, the baseline is 3 even though the description contributes no clarification.

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 only restates the tool name ('ISO 639 language tag th.') without specifying an action, input, or output. It is impossible to tell whether this tool validates, resolves, or formats 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 given on when to use this tool versus the many sibling tools. No alternatives, conditions, or typical use cases are mentioned.

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

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

With no annotations, the description carries full responsibility for transparency. It mentions 'body discarded' but fails to clarify that most schema parameters are also discarded (per their descriptions), and it does not disclose side effects like network requests, authentication, or rate limiting. The mismatch between the narrow purpose and broad parameter list misleads about 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 description is brief and front-loaded, but it omits essential details about the tool's scope and parameter roles. Conciseness is achieved at the expense of clarity, making it minimally acceptable.

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 output schema, and a description that fails to tie the parameters to a coherent purpose. It is incomplete: an agent cannot determine what to provide or what to expect beyond a vague HTTP status for a URL, leaving most of the tool's behavior unexplained.

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 descriptions cover 100% of parameters, they primarily state that each value is 'discarded' or 'checked' without explaining their role relative to the tool's purpose. The semantic content is thin: parameters like 'city' and 'zone' are unrelated to the described HTTP-status function, so the descriptions do not effectively clarify how to use them.

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

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

The description states it returns HTTP status for a 'public library docs URL', but the schema includes nine unrelated parameters (e.g., city, timezone, search text), creating ambiguity about the actual function. It does not clearly distinguish 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?

No guidance is provided on when to use this tool instead of alternatives. The description only states what it does without context or exclusions, leaving the agent without direction for tool 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?

No annotations are present, so the description carries the full burden of explaining behavior. It mentions that values are discarded but does not state whether the operation is read-only, whether any input is required, what errors may occur, or how malformed JSON is 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 itself is concise and front-loaded with the main action. However, it is too terse to resolve the ambiguity created by the mismatched input schema, so the brevity comes at the cost of necessary clarity.

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

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

With no output schema, no examples, no error semantics, and an input schema that seems copied from unrelated tools, the description is not complete enough for an agent to confidently select and correctly invoke this tool. The missing parameter mapping is a critical gap.

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

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

The schema has nine parameters, but their descriptions are largely unrelated to counting keys in a JSON object. For example, the 'json' parameter is described as 'JSON text to validate; discarded after the check' rather than as the object whose keys should be counted, and other parameters like 'url', 'city', 'zone', and 'query' have no evident connection 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 clearly states the core operation: 'Count keys in a JSON object. Values discarded.' However, the input schema exposes nine unrelated optional string parameters, and none of their descriptions clearly identify which parameter is the JSON object whose keys should be counted, creating ambiguity about how to invoke the 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?

There is no guidance about when to use this tool versus any of the many sibling tools. No conditions, prerequisites, or examples are provided, so an agent cannot determine when this tool is the appropriate choice.

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

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

The description discloses the primary output behavior and explicitly notes that query and fragment are dropped. However, it does not explain how invalid URLs, non-HTTPS schemes, or empty inputs are handled, and it remains unclear whether the eight additional parameters are ignored or affect 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 brief and front-loaded, stating the core action in the first sentence and a key transformation in the second. It avoids unnecessary wording, though it could be more informative without becoming verbose.

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

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

The tool has nine parameters, no required fields, no output schema, and no annotations, yet the description only explains behavior for the url parameter. It omits expected output format, error conditions, and why many unrelated parameters exist, leaving the agent without enough context to use the tool reliably.

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

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

Although every parameter has a schema description, most descriptions are generic placeholder-like texts unrelated to URL normalization, such as city, zone, json, and feed. Only the url parameter is clearly relevant, and the description does not clarify the role or intended usage of the other 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 that the tool returns the origin, host, and path from a URL and that query and fragment components are dropped. This gives a specific verb, resource, and observable outcome, though the presence of many unrelated parameters introduces some ambiguity about the actual scope.

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

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

The description provides no guidance on when to choose this tool over the many URL-related sibling tools such as web-fetch, fetch-status, or playwright-url-ok. It does not mention typical use cases, restrictions, or conditions under which an agent should prefer normalize-url.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only discloses a negative trait (no browser launched) but omits what the tool actually does: whether it makes an HTTP request, what it returns, or if it has side effects. This is insufficient for a tool with no annotation safety profile.

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 terse sentence, which is concise in word count but fails to convey necessary information. It does not earn its place because it is under-specified—a vague statement that doesn't help an agent understand the tool's behavior or use case.

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 complexity of 9 parameters, zero annotations, and no output schema, the description is drastically incomplete. It doesn't explain what the tool returns, how parameters interact, or when to use it. An agent would be completely lost trying to call 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?

Schema description coverage is 100%, so the baseline is 3. The tool description adds no parameter meaning—it doesn't clarify which parameter is the target URL or how the many seemingly unrelated parameters (city, zone, json, etc.) relate to the tool's purpose. However, since the schema already documents each parameter, the description doesn't degrade the semantics.

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

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

The description states a clear action (check whether a URL can be opened) and a constraint (no browser launched), but 'opened' is ambiguous—could mean HTTP reachability, DNS resolution, or something else. It does not distinguish this tool from siblings like browser-url-ok or fetch-status, so the purpose remains vague.

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

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

The only usage hint is 'No browser is launched', which implies a lightweight check but does not explicitly state when to prefer this tool over alternatives. No conditions, exclusions, or alternative tool names are provided, leaving the agent to guess the appropriate 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?

The description mentions that the query is 'discarded', which is a minimal behavioral note. However, it does not explain that other parameters in the schema are ignored or how the tool handles input validation. Without annotations, the description fails to disclose whether any side effects occur beyond discarding the query, leaving significant behavioral ambiguity.

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

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

The description is a single, concise sentence that directly communicates the core functionality. It avoids unnecessary detail or repetition, making it easy to parse quickly. The structure is optimal for a simple 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 omits important contextual details such as the expected return value (e.g., an integer count), error handling, or any constraints on the query length. It also does not explain the relationship between the many schema parameters and the tool's actual purpose, leaving the overall context incomplete. Given the tool's simplicity, a short but more explanatory description would be 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?

While the schema covers 100% of parameters, the description only addresses 'query'. The schema lists many unrelated parameters (e.g., 'ref', 'url', 'zone') with generic descriptions like 'discarded after the check', but the tool description does not clarify which parameters are actually used or how they relate to the counting operation. This mismatch creates confusion and adds no meaningful guidance beyond the schema.

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

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

The description clearly states the tool's function: counting characters in a search query. The verb 'Count' and the object 'characters in a search query' are specific and unambiguous. This distinguishes it from other count-related tools by focusing on search queries.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'memory-key-count' or 'hn-front-count'. It lacks any context about typical use cases, prerequisites, or situations where this tool is preferred. The user is left without direction on selecting 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 present, the description carries the full burden of explaining behavior, but it says nothing about side effects, read-only behavior, or whether the tool performs any I/O. The schema's 'discarded' notes are not reflected in the description.

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

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

The description is short and free of fluff, but it is so terse that it reads more like a label than a functional description. It is appropriately concise yet lacks necessary structural detail.

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

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

The tool has no output schema and the description does not mention return format, pagination, filtering, or any expected result shape. For a catalog tool, the lack of output details makes it substantially incomplete.

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

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

The schema descriptions already cover all parameters and state that each is discarded, so the parameter behavior is mostly specified. However, the description adds no meaning about why a status-code catalog would accept these unrelated fields, leaving the parameter-purpose connection 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 names the resource ('common HTTP status codes') but lacks an action verb, so it is unclear whether the tool lists, looks up, validates, or explains status codes. It also does not distinguish itself strongly from sibling tools like fetch-status.

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

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

No guidance is given about when to use this tool versus alternatives such as fetch-status, or what kind of query/input would trigger its use. The description is purely declarative and offers no usage 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 carries the full burden of explaining behavior. It mentions that the prompt is discarded and that a template is returned, but it does not disclose output format, side effects, or how the accepted parameters are handled beyond vague 'discarded' hints in the 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 very short and contains no redundant filler. The phrase 'Prompt discarded' is cryptic, but the overall structure is compact and direct.

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 far too incomplete for a tool with nine parameters and no output schema. It does not explain what the template contains, how parameters should be used, what output to expect, or when this tool is the right choice.

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 provides individual descriptions for all nine parameters, so coverage is high and a baseline of 3 is appropriate. However, the tool description itself adds no clarity about how these parameters relate to the 'three-step thinking template' output.

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—'Return a three-step thinking template'—so the core purpose is identifiable. However, the phrase 'Prompt discarded' is confusing and does not clarify how the tool relates to its nine parameters or to sibling tools.

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

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

There is no guidance about when to use this tool, what input should be provided, or when a sibling tool would be more appropriate. The description gives no usage context at all.

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 mention side effects, read-only nature, output format, error handling, or behavior with invalid timezone names. The presence of many unrelated schema parameters further obscures actual tool behavior.

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

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

The description is a single concise sentence with no filler or redundant information. It is appropriately front-loaded with the main 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 tool has 9 parameters, no output schema, and no explanation of return format, error behavior, or which parameters are actually used. The description is too minimal to be complete given this complexity.

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

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

Schema descriptions cover all parameters, but most appear unrelated to the described timezone purpose. The description adds no extra clarification beyond the schema, so semantics remain confusing despite high coverage.

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

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

The description clearly states the function: returning the current time for a named IANA timezone. It does not explicitly distinguish itself from sibling tools like utc-time or iana-zones, but the core purpose is identifiable.

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

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

No guidance is provided on when to use this tool versus alternatives such as utc-time or iana-zones, nor does it explain which of the many schema parameters are actually relevant.

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

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

No annotations are provided, and the description does not state whether the tool has side effects, requires permissions, or is read-only. Furthermore, the schema lists nine parameters with irrelevant descriptions (e.g., 'Git ref name', 'HTTPS URL'), which are not explained or reconciled with the stated purpose, creating confusion about 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 description is extremely concise (one short phrase), which is efficient in word count. However, it lacks necessary structure and context, such as stating that parameters are ignored or explaining the output format, so it is not well-balanced for the tool's apparent complexity.

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

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

Given the presence of nine irrelevant parameters, no annotations, and no output schema, the description is severely incomplete. It does not address why the parameters exist, whether they affect the result, or what the output looks like. An agent would have no idea how to interact with this tool beyond blindly calling it.

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

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

Although all nine parameters have descriptions, these descriptions are completely unrelated to the tool's purpose (e.g., 'ref' described as 'Git ref name', 'url' as 'HTTPS URL'). No explanation is given for why a UTC timestamp tool would accept these parameters, making them misleading and effectively useless for understanding how to invoke the tool correctly.

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 and unambiguously states the tool's purpose: it returns the current UTC time. There is no ambiguity about the action or 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 provides no guidance on when to use this tool versus any of the 29 sibling tools (e.g., 'timezone', 'iana-zones', 'think-steps'). No conditions or contexts are mentioned.

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

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

With no annotations, the description carries the full burden, and it does disclose a key behavioral trait: the body is discarded, reinforced by schema notes like 'discarded after the check'. However, it does not disclose the return value, error behavior, or how 'discarded' is enforced, 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 description is one short sentence, front-loaded with the core action, and every word earns its place. It is appropriately concise, though the vagueness of 'body' prevents a top 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?

For a tool with 9 optional parameters and no output schema, the description is too thin: it never states what the tool returns, why the other parameters exist, or what 'body' refers to. The schema notes add discard semantics but not invocation or return 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 description adds no parameter-level meaning and uses the ambiguous term 'body' rather than naming `json`, but the schema's `json` entry ('JSON text to validate; discarded after the check') compensates enough to keep this at a 3.

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

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

States a clear operation: 'Check whether a body is valid JSON', with a specific resource and a notable side-effect ('The body is discarded'). It does not differentiate from sibling shape/validation tools, and 'body' is not explicitly mapped to the `json` parameter, so it stops short of a 5.

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

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

No guidance on when to use this tool versus sibling validation/shape tools, nor any exclusions or alternative routing. The only implied context is JSON validation; the description does not clarify which invocation pattern is intended among the nine optional 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 of explaining side effects, but it only says the tool returns a temperature. Schema descriptions hint that many fields are discarded and that no disk access occurs, but the actual city behavior is unclear and no error or network behavior is disclosed.

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

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

The main description is a single concise sentence and the property descriptions are terse. However, the large number of seemingly unrelated optional properties makes the overall tool definition feel cluttered.

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 for an agent to call the tool confidently. It does not specify required inputs, output format, behavior with invalid city names, or whether the extra parameters are ignored, making the tool incomplete for practical 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 city property is semantically clear, but the schema also contains eight other properties with no obvious connection to weather. Descriptions like 'discarded after the call' do not clarify whether those parameters affect the result, and none are marked required.

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

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

The description clearly states the tool's purpose: returning the current temperature for a city via Open-Meteo. The wording is specific enough to identify the core function, though the title is null and the broad input schema introduces some ambiguity.

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

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

No usage guidance is provided. The description does not indicate when to prefer this tool over siblings, what conditions make it appropriate, or how the many unrelated optional parameters should be treated.

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 the body is discarded and that the URL should be public. It does not mention redirects, error behavior, rate limits, robots, authentication, or the fact that a network request will be made, and no annotations are present 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 main description is concise and front-loaded, but the overall definition is inflated by nine optional parameters whose descriptions do not align with the tool's purpose. This makes the schema feel padded and unstructured rather than focused.

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

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

For a tool with nine optional parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain the expected output structure, error behavior, or the role of each parameter, so an agent cannot confidently determine how to call the tool correctly.

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

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

The parameter descriptions are misleading and largely irrelevant to the stated purpose; for example, 'url' is described as 'HTTPS URL to normalize or cite' rather than to fetch, and parameters like city, zone, query, json, ref, and path have no clear relationship to retrieving HTTP status and content type. With no required parameters, the description does not indicate which input actually selects the URL to fetch.

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

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

The description clearly states that the tool returns HTTP status and content type for a public URL and explicitly says the body is discarded, which distinguishes it from a full-content fetch. However, the schema descriptions for 'url' and other parameters are disconnected from this purpose, creating some confusion in the overall definition.

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 sibling tools such as fetch-status, browser-url-ok, or normalize-url. It does not mention prerequisites, limitations, or when not to use it, so an agent has little basis for selecting 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 provided, and the only behavioral note ('Title discarded after the call') is meaningless because no title parameter exists. Side effects, failure modes, and data retention semantics are not disclosed.

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

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

The description is very short and front-loaded, but the second sentence adds confusion rather than clarity. It is concise in word count but not in effective communication.

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 provide enough context to understand the tool's behavior, expected input, output, or error conditions. The mismatch between the description and schema makes the tool functionally unintelligible.

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 descriptions cover 100% of parameters, every described parameter is unrelated to checking a Wikipedia title. The schema lacks the essential 'title' parameter and instead includes ref, city, weather, JSON, path, timezone, and query parameters that do not serve the stated 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 claims the tool checks whether a Wikipedia title exists, but no title parameter appears in the input schema. The listed parameters are unrelated to Wikipedia titles, making the stated purpose misleading and impossible to act on.

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 such as fetch-status, normalize-url, or search-query-len. The description does not explain its relationship to any alternative.

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