Language ht

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

With no annotations provided, the description carries the burden of behavioral disclosure. It transparently states that the task text is discarded, and the parameter descriptions note that values are only shape-checked and not used further. This clarifies that the tool has no side effects on the provided data, though it does not detail rate limits or other operational behaviors.

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 exceptionally concise, with two sentences front-loading the core purpose first and then stating the output and side-effect. No redundant words or vague phrases; every sentence contributes to understanding the tool's function.

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

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

Given the tool's moderate complexity (9 parameters, no output schema), the description provides sufficient context: it states the task, output type ('connection methods'), and the discarded-input behavior. It lacks specifics on what 'connection methods' entail, but the parameter descriptions fill most gaps. Overall, it is adequately complete for an agent to decide when to invoke it.

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

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

All 9 parameters have schema descriptions, and each description goes beyond type by explicitly stating that the value is discarded after a shape check (e.g., 'Git ref name; discarded after the shape check'). This clarifies that these parameters are placeholders for validating request shape, adding meaningful semantic context beyond the raw 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 purpose with a specific verb ('Find'), a resource ('public pay-per-call tool gateway'), and scope (for tasks like weather, search, scrape, or voice). It also specifies the output ('Returns connection methods'). This uniquely identifies the tool's function among siblings.

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 some usage hints, such as examples of tasks and the note that 'Task text discarded' implies it's for finding a gateway rather than executing the task. However, it does not explicitly compare to sibling tools or state when to use this instead of alternatives, leaving some ambiguity.

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 it does disclose that no browser is launched. It does not mention whether a network request is made, whether content is fetched, or what failure modes exist, 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 short, front-loaded, and contains no filler; both sentences add useful information. It is easy to scan and understand at a glance.

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 return value, error behavior, and which input field to use, and there is no output schema to compensate. Given the unusually broad and inconsistent schema, this is a significant completeness 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 descriptions for all nine optional parameters, but the tool description does not explain which parameter is relevant or that most fields may be ignored. Several property descriptions are inconsistent with the stated URL-checking purpose, leaving parameter selection confusing.

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

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

The description clearly states that the tool checks whether a URL can be opened and notes that no browser is launched, giving a specific action and resource. It does not explicitly contrast with sibling tools such as playwright-url-ok, so it stops short of full differentiation.

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

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

The description provides no explicit guidance about when to use this tool versus the many sibling URL and network tools. The 'No browser is launched' note hints at a lightweight check but does not explain when that choice is preferable.

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. The only behavioral statement, 'Expression discarded', conflicts with the schema, and no side effects, permissions, or return behavior are 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 but confusing: 'Expression discarded' is ambiguous and the structure does not help the agent map inputs to behavior. It is concise but not clear or well-organized.

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 mention of return values, errors, or required inputs. With 9 optional parameters and no annotations, the agent lacks the context needed to use the tool correctly.

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

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

Each schema parameter has a description, but those descriptions are unrelated to arithmetic and the tool description does not explain how to supply an expression. The high schema coverage is undermined by the mismatch between the stated purpose and the actual 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 says it evaluates a+b arithmetic, but the schema has no expression parameter and instead lists 9 unrelated string parameters such as url, city, json, and query. The tool's actual purpose is contradictory and cannot be inferred reliably.

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 calc-eval versus the many sibling tools, nor any mention of prerequisites, context, or typical call patterns.

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 and parameter descriptions disclose some non-effects ('Page content is not stored', 'discarded', 'no disk access'), but the overall behavior remains opaque: it does not explain whether a network request is made, whether only one parameter is processed, or what happens to the non-URL parameters.

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

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

The description is concise and the schema descriptions are terse, with no redundant wording. However, the structure is confusing because a single short description attempts to cover a schema with many disparate optional parameters, reducing the effectiveness of the concise 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?

With nine optional parameters, no output schema, no required fields, and many sibling tools, the description is incomplete: it does not specify output format, parameter selection rules, mutual exclusivity, error behavior, or how to distinguish this tool from similar siblings.

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, most parameter descriptions are unrelated to the stated URL citation purpose (e.g., city weather hint, IANA timezone, JSON validation, search text length) and do not clarify how or when they should be used, making them semantically confusing.

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

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

The description states a specific outcome (host, scheme, HTTP status for a URL) but the input schema accepts nine unrelated optional parameters (city, zone, json, path, query, etc.), so the actual purpose is ambiguous and inconsistent with the stated URL-only 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?

No guidance is provided about when to call this tool instead of the many sibling tools (normalize-url, fetch-status, web-fetch, validate-json, etc.), nor about which of the nine optional parameters to supply or how they relate to the stated URL 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?

No annotations are provided, so the description carries the full burden. It adds one behavioral note – 'No identifiers are retained' – which hints at a privacy guarantee, but it does not disclose what the tool actually does, whether it is read-only, what side effects exist, or what the response looks 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 only two short sentences, so there is no fluff. However, it is so under-specified that the brevity is not a virtue – it is a symptom of missing information. It earns a middle score for being clean, but not for being helpful.

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 parameters, no annotations, and no output schema, the description is profoundly incomplete. It does not explain what 'classified' means, how the parameters are used, what the return value is, or any constraints. An agent cannot reasonably call this tool correctly based on this definition.

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

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

Schema description coverage is 100%, so the schema already documents all 9 parameters clearly. The description adds nothing about parameters, so the baseline score of 3 is appropriate – the schema does the heavy lifting.

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

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

The description says 'Show how this request is classified' – a vague, high-level statement that fails to specify what classification means, what output is produced, or how it relates to the tool's name 'compatibility'. It does not distinguish this tool from any of the 28 siblings, leaving the agent unable to infer when this is the right choice.

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 zero guidance on when to use this tool versus the many sibling tools. No mention of conditions, exclusions, or alternatives. The agent is left to guess from the name alone.

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

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

With no annotations, the description carries the full burden of disclosing behavior. It only states the primary function and vaguely notes the absence of WHOIS/data. It does not indicate whether the operation is read-only, whether it performs network calls, or how it handles invalid inputs.

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

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

The description is a single sentence, which is concise. However, the trailing phrase 'without WHOIS or data' is confusing and could be removed or reworded; it does not earn its place because it introduces ambiguity rather than 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?

There is no output schema, so the description should explain the return format. It does not state whether the output is an array of labels, how errors are reported, or how to handle the many irrelevant parameters. This lack of context makes the tool difficult 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 provides descriptions for all parameters, so the baseline is 3. The tool description adds no extra value about parameter usage; it does not clarify which of the nine parameters is relevant (e.g., 'host') or explain why many unrelated parameters exist in 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 core action is clear: splitting a hostname into labels. The verb 'split' and resource 'hostname' are specific. However, the appended phrase 'without WHOIS or data' is ambiguous and mildly obscures the primary 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?

The description implies usage when a hostname needs to be split, but it does not explicitly state when to prefer this tool over siblings or mention alternatives. The phrase 'without WHOIS or data' hints at a limitation but offers no concrete guidance on 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 provided, and the description does not disclose side effects, permission requirements, rate limits, or error behavior. It does not even explicitly state that the tool is read-only or that the URL is not modified, which is critical for a HEAD request.

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, which is concise. However, it lacks structure such as separate sections for usage, parameters, or return format, and the brevity sacrifices essential information. It is not verbose, but it is too minimal for a tool with this many parameters.

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

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

The description omits nearly all contextual details: there is no explanation of the output schema, no description of how the parameters are used, no mention of error handling, and no indication of what 'status' means or what format it takes. The mismatched parameter descriptions further compound the incompleteness.

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 itself says nothing about the 9 parameters. The schema descriptions are clearly mismatched for this tool (e.g., 'Git ref name; discarded after the shape check' for 'ref', 'City name for a public weather hint' for 'city'), providing no meaningful explanation of how they relate to fetching a URL status. The agent would be completely unable to infer correct usage.

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

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

The description clearly states the primary action ('HEAD a public URL') and the return value ('status only'), which is distinct from siblings like web-fetch or browser-url-ok. However, it does not explain how the many parameters relate to this purpose, leaving 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?

The description offers no guidance on when to use this tool versus alternatives like browser-url-ok, playwright-url-ok, or web-fetch, nor does it mention any prerequisites or typical use cases. It simply states the action without 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 phrase 'Path discarded' is a small behavioral disclosure, but with no annotations and no mention of side effects, error behavior, or output format, the description fails to carry the full transparency 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 short and free of fluff, which is concise. However, it is so sparse that it lacks useful structure or explanatory detail, making the brevity a drawback rather than a strength.

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

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

With no output schema, no required parameters, and a description that does not explain expected input, output, or edge cases, the tool is not adequately specified for an agent to use it correctly.

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

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

The parameter descriptions appear copied from unrelated tools (e.g., 'Git ref name', 'City name', 'IANA timezone name') and do not clarify how any of the nine parameters relate to parsing a Figma URL. The description adds no meaningful semantics beyond the schema 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 and resource ('Parse a Figma file URL'), which gives a basic sense of purpose. However, 'Path discarded' is ambiguous and does not explain what output is produced or what aspect of the URL is returned.

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 alternative tools such as normalize-url, browser-url-ok, or web-fetch. No conditions, examples, or contextual triggers 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 provided, the description bears full responsibility for disclosing behavior. It mentions 'No disk access' but does not state what 'looks safe' means, whether it returns a boolean or error, or how it handles edge cases like empty or malformed paths.

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

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

The description is very concise—two short sentences with no unnecessary words or repetition. It is easy to read and front-loads the core 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 too sparse for the provided schema's complexity. It offers no output schema, no criteria for 'safe,' and no explanation of the many irrelevant optional parameters. An agent would not know what to pass or what to expect in return.

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 schema parameters have descriptions, most are unrelated to the tool's stated purpose (e.g., url, city, feed, zone, query). The description does not clarify that only 'path' is relevant or explain why the other parameters exist, creating significant confusion about how to call the tool.

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

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

The description clearly states a specific action ('Check whether a path looks safe') and the resource ('path'). It also notes 'No disk access,' which distinguishes it from actual file operations and from sibling tools that inspect URLs, domains, or other entities.

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 explain when to use this tool versus the many sibling tools such as browser-url-ok, domain-shape, or github-repo-shape. There is no mention of input expectations, common use cases, or criteria for safe paths.

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 behavior itself, but it only mentions the data source. It fails to mention that most schema fields are described as discarded after checks, that the tool presumably makes an external Open-Meteo request, or how it behaves when no parameters are supplied.

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

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

The description is a single concise sentence with no filler or redundant wording. It is structurally clean, though its brevity sacrifices the practical guidance needed for a tool with this ambiguous schema.

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

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

Given the complexity of nine optional parameters and no output schema, the description is insufficiently complete. It does not specify required inputs, how to construct a valid request, what the returned latitude/longitude format looks like, or how errors or missing place data are handled.

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

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

Although schema coverage is 100%, many parameter descriptions (e.g., 'Git ref name; discarded after the shape check', 'HTTPS URL to normalize or cite') are unrelated to a geographic place and provide no usable semantics. The tool description does not clarify which of the nine optional fields actually determine the location, leaving parameter selection 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 states the tool's core function—returning latitude and longitude for a place via Open-Meteo—which is reasonably clear and distinct from weather-focused siblings like weather-hint. However, it lacks an explicit verb like 'gets' or 'returns' and does not mention which input identifies the place.

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, and it does not explain which of the nine optional parameters should be provided. A user cannot tell whether to pass 'city', 'query', 'zone', or something else, and no sibling-tool comparison is offered.

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 schema descriptions reveal that many parameters are discarded and that path checks involve no disk access, which is helpful. However, with no annotations, the description does not state whether the operation is read-only or what happens for invalid or non-GitHub URLs.

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 filler. It is front-loaded with the core action and object.

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 annotations, a one-sentence description leaves critical gaps: it does not explain why most parameters exist, what the return value looks like, or how invalid URLs are handled.

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

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

Every parameter has a description, but several are unrelated to the stated purpose, and the 'url' description says 'normalize or cite' rather than 'parse owner and repo.' This creates confusion about which parameter is actually used and what the tool really accepts.

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: parse owner and repo from a GitHub URL. This distinguishes it from sibling URL-shape tools like figma-url-shape or jira-key-shape.

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 use when owner/repo extraction from a GitHub URL is needed, but it gives no explicit when-to-use guidance and does not mention alternatives such as normalize-url or domain-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, and the description does not disclose side effects, network access, failure modes, or whether parameters are ignored. It only mentions titles are discarded, leaving most behavioral aspects unspecified.

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

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

The description is extremely concise and front-loaded with the main action. It avoids unnecessary detail while still clarifying the output nature with 'Titles discarded.'

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 accepts nine optional parameters with confusing, unrelated descriptions, but nothing explains their relevance or the return format. The absence of an output schema and any usage context leaves the tool feeling incomplete 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?

Although all parameters have descriptions, they are generic and unrelated to the stated purpose of counting Hacker News stories. Terms like 'discarded after the shape check' explain disposal but not why the parameter exists or how it affects the count, so the descriptions add little meaningful semantic value.

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

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

The description clearly states the tool's function: count current Hacker News front-page stories. The phrase 'Titles discarded' reinforces that only a count is produced, distinguishing it from content-fetching tools like web-fetch or search-query-len.

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. It does not mention scenarios, prerequisites, or why an agent would choose it over sibling tools such as web-fetch or fetch-status.

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

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

No annotations were provided, and the description offers no insight into side effects, permissions, data mutability, or return behavior. The phrase 'for clock calls' is cryptic and does not clarify whether this tool reads, validates, or returns data. There is no mention of what happens to the input or what the output 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 extremely short (one sentence), which is concise in word count, but it lacks essential information about the tool's function. While there is no verbosity, the extreme brevity results in an unclear and under-specified description. A concise description should still be informative; this one is not.

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 absence of an output schema, annotations, and any explanatory detail, the description is far from complete. It does not state what the tool returns, what the input parameters represent in the context of the tool's purpose, or how it relates to sibling tools. An agent cannot reliably understand or invoke this tool based on the provided information.

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

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

Although the schema provides descriptions for all 9 parameters, they are generic and appear contextually mismatched with the stated purpose of 'timezone names'. For example, 'ref' is described as a 'Git ref name; discarded after the shape check', and 'query' as 'Search text; discarded after the length check', suggesting a validation or normalization tool rather than a timezone lookup. The parameter descriptions do not add meaningful semantics that align with any coherent 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 'Common IANA timezone names for clock calls' is a noun phrase with no action verb, providing no indication of what the tool actually does (e.g., list, validate, transform). It does not distinguish itself from sibling tools like timezone or utc-time, and the parameter names (ref, url, city, etc.) are unrelated to timezone names, making the purpose even more confusing.

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

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

There is no guidance on when to use this tool versus alternatives. The description does not mention any conditions, preconditions, or typical use cases, and it does not reference sibling tools that might be more appropriate. An agent would have no idea when to invoke this over timezone or other 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?

The description implies a network fetch action but does not explicitly state read-only behavior, potential errors, or any side effects. With no annotations, it leaves key 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 concise sentence, but it omits essential information about parameter usage and expected behavior, making it structurally incomplete despite being brief.

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

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

Given the lack of output schema, irrelevant parameters, and missing guidance on parameter mapping, the description is highly incomplete. An agent cannot correctly invoke this tool based on the provided information.

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

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

The parameters bear no clear connection to the described action. Schema descriptions like 'Git ref name' or 'City name for a public weather hint' appear arbitrary and do not map to fetching robots.txt or counting groups. The description provides zero explanation of how parameters are used.

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

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

The description states a clear verb ('Fetch') and object ('public robots.txt') and mentions returning group counts, but the listed parameters (ref, city, zone, query, etc.) have no obvious relation to robots.txt, muddling the actual purpose. It does not effectively differentiate from sibling fetch 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 on when to use this tool versus alternatives like fetch-status or web-fetch. The description provides no context for 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, the description carries full burden, but it only says 'Key discarded' without explaining what happens to the input, what the tool returns, or whether it performs any side effects. The behavior is entirely opaque.

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

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

The description is extremely concise (two sentences), but this brevity comes at the expense of essential information. It lacks structure and does not convey how the tool works or how to use it effectively.

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

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

Given 9 optional parameters, no output schema, and a vague statement, the description is critically incomplete. It does not explain the role of each parameter, the relationship to the Jira key shape, or the expected result, leaving the agent unable to correctly invoke the tool.

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

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

The schema descriptions merely repeat parameter names (e.g., 'ref', 'url', 'city') without explaining their purpose or relation to a Jira key. None of the 9 parameters are clearly linked to the key that the tool is supposed to check, so the description adds no meaningful semantic value.

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

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

The description states a clear action ('Check a Jira issue key shape') but fails to specify which input parameter represents the key. The phrase 'Key discarded' adds confusion, and the purpose is vague because none of the 9 parameters obviously correspond to a Jira key.

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 the many sibling shape-checking tools (e.g., domain-shape, figma-url-shape). It does not explain how to supply the key or what the expected usage context 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?

No annotations or description disclose side effects, network access, read-only behavior, or mutation. The parameter descriptions mention values being 'discarded' but the overall tool behavior remains unexplained.

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

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

The description is very short and not verbose, but it omits essential structural information such as a verb, expected input, or output. It is concise at the cost of being functionally uninformative.

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 example, no mention of return values, and no explanation of how the nine unrelated optional parameters relate to the tool. The description is insufficient for an agent to invoke the tool correctly.

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

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

Each parameter has an individual schema description, so schema coverage is 100%, but the parameters are unrelated to the stated language-tag purpose. The descriptions like 'Git ref name; discarded after the shape check' do not clarify why lang-ht would accept a URL, city, path, or timezone.

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 ht.' is a noun phrase with no verb, so it never states what the tool actually does. It does not clearly distinguish the tool from siblings like normalize-url or validate-json.

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

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

There is no indication of when to use this tool versus other available tools. No use cases, prerequisites, or alternative comparisons 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 full burden. It discloses that the body is discarded, which is a useful trait, but it does not state whether the tool makes a network request, how errors are handled, or what the output format is. For a tool with 9 parameters, this is a significant 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 a single sentence with no wasted words and front-loads the primary purpose. However, it is so terse that it omits essential context about the other parameters, which slightly reduces the structure score from a perfect 5.

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

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

For a tool with 9 optional parameters, no output schema, and no annotations, the description is severely inadequate. It only addresses one scenario (library docs URL) and gives no indication of how the remaining parameters should be used, what the response contains beyond 'HTTP status', or any usage rules. An agent cannot correctly invoke this tool based on the description alone.

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

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

Schema description coverage is 100%, so each parameter is individually documented. The tool description adds no parameter-level meaning beyond the schema, which is acceptable given the high coverage. Baseline of 3 applies.

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

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

The description states a specific action (get HTTP status) and a specific resource (public library docs URL), and notes the body is discarded. It is clear about that one use case, but it does not differentiate it from siblings like fetch-status or browser-url-ok, nor does it hint that the schema supports many other input types.

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, no prerequisites, and no mention of the other input types (city, json, zone, etc.). An agent gets no context for selecting this tool over siblings.

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

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

No annotations exist, so the description must explain side effects and errors. It reveals that values are discarded but says nothing about return type, invalid input handling, or whether the operation is read-only; the json parameter description even mentions 'validate', adding ambiguity.

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

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

The description is extremely concise and front-loaded, using two short sentences. It is not bloated, though it could trade a little brevity for input mapping.

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

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

With 9 optional parameters and no output schema, the description is not complete enough for reliable use. It does not specify the return format, error behavior, or how to indicate which JSON object to count, leaving an agent to guess.

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

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

Schema descriptions cover all 9 parameters, but several are misleading or unrelated to counting keys. The json field is described as 'JSON text to validate; discarded after the check' rather than as the object whose keys are counted, so the descriptions do not clarify usage.

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

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

The description names the action (count keys), the target (a JSON object), and the key behavior (values discarded), making it easy to distinguish from validate-json and other 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 indication of when to use this tool instead of alternatives; no condition, prerequisite, or comparison is provided.

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

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

The description discloses that query and fragment are dropped and that origin, host, and path are returned. However, no annotations are provided, and there is no mention of error behavior, invalid URL handling, side effects, or how the many apparently unrelated schema parameters 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 very brief and front-loaded, with no filler or redundant wording. Both sentences earn their place by stating the output and the dropped components.

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 an agent to call the tool correctly. It does not specify which of the 9 optional parameters should be provided, whether URL is required, what the return format is, or how errors are reported. The mismatch between the description and the schema leaves critical 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?

Although the schema has 100% description coverage, the parameter descriptions appear copy-pasted from other tools and are inconsistent with the tool's purpose. For example, 'query' is described as 'Search text; discarded after the length check' while the main description says query is dropped, and parameters like city, feed, json, and zone have no clear connection to URL normalization.

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

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

The description states a clear operation and output: return origin, host, and path for a URL and drop query/fragment. However, the input schema contains 9 optional parameters that are mostly unrelated to URL normalization (e.g., city, feed, json, zone, ref), and no required parameters, making the actual purpose confusing and internally inconsistent.

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

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

There is no guidance about when to use this tool versus sibling tools such as fetch-status, web-fetch, figma-url-shape, or github-repo-shape. The description only implies URL normalization but does not state use cases, prerequisites, or alternatives.

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

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

The description discloses one important behavioral trait (no browser launch) but omits other details such as what 'can be opened' means, side effects, permissions, or error behavior. Since no annotations are provided, the description bears the full burden, and this minimal disclosure is only partially transparent.

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 fully conveys the core action and a key constraint in a compact 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?

Given the tool's complexity (9 parameters, no output schema, no annotations), the description is severely incomplete. It does not explain what 'can be opened' entails, how the multiple parameters are used, or what the expected return value or error behavior is. The mismatch between the URL-focused description and the broad parameter set leaves agents without enough context to invoke the tool correctly.

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

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

The schema descriptions cover 100% of the 9 parameters, but the tool description adds no clarification about how parameters relate to the URL check. Many parameter descriptions ('discarded after the shape check') suggest they are irrelevant to the stated purpose, and the description does not resolve this ambiguity.

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 checks whether a URL can be opened and explicitly notes that no browser is launched, which differentiates it from the sibling 'browser-url-ok' tool. However, it does not name the alternative explicitly and the purpose is slightly undermined by the unrelated parameter descriptions in the schema.

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

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

The phrase 'No browser is launched' implies a lightweight check and suggests when to use this over the browser-launching sibling, but it does not explicitly state usage conditions or contrast with alternatives. The parameter schema further confuses usage by including fields like city, zone, and query that are unrelated to URL checking.

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 mentions that the query is discarded, but does not explain side effects, return values, error conditions, or any other behavioral aspects. Since no annotations are provided, the description carries the full burden and fails to disclose important 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 unnecessary words. It is appropriately sized for the simplicity of the tool, though it could have been slightly 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 appears to have many irrelevant parameters (e.g., 'city', 'url', 'path') that are not explained in the description. An agent might be confused about whether these are used or ignored. With no output schema and minimal behavioral info, the description is incomplete for safe usage.

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 covers all 9 parameters, but the description only references the 'query' parameter. While the schema descriptions are sufficient, the description adds no additional meaning beyond what is already in the schema, so it meets the baseline for high schema coverage.

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

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

The description clearly states the verb 'Count characters' and the object 'search query', but it does not distinguish the tool from similar sibling tools like 'domain-shape' or 'hn-front-count'. It lacks context on when this tool is needed over others.

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

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

There is no guidance on when to use this tool versus alternatives. With 27 sibling tools including many shape and length checks, the description provides no criteria for selection, leaving the agent to guess.

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 behavior, or output format. The input schema includes many unrelated parameters described as 'discarded', which further obscures 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 description is a single concise sentence and not verbose. However, it is too minimal to convey the tool's purpose and usage, making the brevity a weakness rather than a strength.

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

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

With no output schema, no annotations, and a confusing set of seemingly irrelevant parameters, the description is incomplete. An agent cannot determine what arguments to provide 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?

Although every parameter has a description, those descriptions (e.g., 'Git ref name; discarded after the shape check') are unrelated to an HTTP status-code catalog. The semantics are misleading and provide no meaningful guidance for invoking 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 resource ('catalog of common HTTP status codes') but lacks an explicit verb or precise action. It is unclear whether the tool returns a list, looks up a code, or validates a status, so an agent cannot confidently select it.

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

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

There is no guidance on when to use this tool versus alternatives such as fetch-status or browser-url-ok. No conditions, exclusions, or contextual triggers 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?

Without annotations, the description relies on its own disclosure. It states that the prompt is discarded and a template is returned, but it does not clarify whether all schema parameters are ignored or what side effects (if any) exist.

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

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

The description is extremely concise and contains no unnecessary words 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?

The description omits important context: what the three-step template consists of, whether any input parameter affects output, and how it should be used. The presence of nine ambiguous optional parameters further 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 parameter descriptions look copied from unrelated tools and are misleading relative to the stated purpose (e.g., url is described as 'to normalize or cite' although the tool only returns a template and discards the prompt). Only some parameters mention being discarded, so the schema does not coherently explain the parameters' roles.

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 a three-step thinking template and that the prompt is discarded. It is a specific action and object, though the template contents are not specified.

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 or when to prefer an alternative. The description does not mention conditions, alternatives, or exclusions.

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

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

No annotations are provided, so the description carries the burden. While 'Current time' implies a read-only operation, it does not explicitly state that no side effects occur, nor does it mention any permissions, rate limits, or error conditions.

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 extraneous information, making it easy to parse and understand.

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 mention of return format, edge cases, or context about how to interpret the result. It also does not relate to the other parameters in the schema, leaving the agent without enough information for robust usage.

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

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

Schema description coverage is 100%, so the baseline is 3. The tool description itself does not explain any parameters, but the schema provides descriptions for all fields, including the relevant 'zone' parameter. However, many parameter descriptions seem irrelevant and could confuse the 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 the tool returns the current time for a named IANA timezone, which is a specific verb-resource combination. However, it does not explicitly differentiate from sibling tools like 'iana-zones' 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, nor does it mention any prerequisites or exclusions. It is a bare statement of functionality.

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 alone is insufficient. It does not disclose that the many listed parameters appear to be ignored or discarded, nor does it mention any side effects or side-effect-free nature. The parameter descriptions in the schema suggest they are placeholders, but the tool description provides no clarity.

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 it is under-specified to the point of being ambiguous about the parameter handling. While brevity is good, the lack of any explanatory structure means it fails to convey essential usage 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?

No output schema is provided, and the description gives no indication of the response format. The mismatch between the simple purpose and the complex, seemingly unrelated parameters leaves the tool contextually incomplete for an agent to invoke it correctly.

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

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

The schema covers all 9 parameters, but the descriptions are irrelevant (e.g., 'Git ref name; discarded after the shape check') and do not relate to the tool's purpose. This creates confusion about why these parameters exist and how they affect the UTC timestamp output. The tool description adds no meaningful parameter semantics.

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

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

The description 'Current UTC timestamp' clearly states the tool's function, though it is a noun phrase rather than a verb. It is distinct from the sibling 'timezone' tool, which likely returns a timezone conversion. However, it lacks explicit connection to the parameters.

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

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

No guidance is provided on when to use this tool versus alternatives. The description does not mention any conditions, prerequisites, or use cases, leaving the agent without context for selection.

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

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

The description notes that the body is discarded, giving a hint of non-persistence, but it does not disclose return values, error behavior, or whether the operation is read-only. With no annotations, the description carries the full 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 primary description is short and front-loaded, using two simple sentences. The unrelated parameter descriptions add noise in the schema, but the main tool description itself is appropriately concise.

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

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

The description lacks essential context such as the return format (e.g., boolean), how to pass the JSON body, and whether other schema fields are ignored. Without an output schema, this omission is significant.

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 are unrelated to JSON validation (e.g., url, city, zone, query) and are actively misleading. Only the 'json' parameter is relevant, so the descriptions do not add useful meaning and instead confuse 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 action: checking whether a body is valid JSON. However, 'body' is ambiguous because the input schema exposes a 'json' parameter rather than a body field.

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 choose this tool over alternatives, and there is no mention of expected inputs or prerequisites. The name and one-line description provide only implicit 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?

No annotations are provided, so the description must carry the transparency burden. While the read-only nature of a weather tool is implied, the description does not explicitly state side effects, permissions, or that it only reads data. The presence of parameters like 'discarded' and 'no disk access' hints at non-destructive behavior but is not consolidated.

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

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

The description is a single sentence, which is concise. However, it omits critical information about the parameter set, making the structure feel underdeveloped. It is not front-loaded with the most relevant details beyond the basic 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?

Given the 9 parameters, many of which are unrelated to weather, the description is incomplete. It does not explain why these parameters exist, how they are used, or what the tool actually does beyond a simple temperature lookup. The description fails to provide sufficient context for an agent to understand the full behavior of the tool.

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

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

The schema provides descriptions for all 9 parameters, but they are generic and appear to be copy-pasted from other tools (e.g., 'Git ref name; discarded after the shape check'). Only the 'city' parameter aligns with the tool's stated purpose. The parameter descriptions do not coherently explain how they relate to fetching weather data.

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

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

The description clearly states the primary function: 'Current temperature for a city via Open-Meteo.' However, the input schema includes many unrelated parameters (ref, url, feed, host, json, path, zone, query) that are not mentioned in the description, creating confusion about the tool's 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 use this tool versus alternatives. It does not mention any conditions, prerequisites, or scenarios where weather-hint is preferred over other sibling 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, the description carries the transparency burden and does disclose that the body is discarded and that the URL must be public. However, it does not mention other behavioral details such as redirects, timeouts, errors, or the fact that unrelated input 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, front-loaded sentence with no unnecessary words. It efficiently communicates the core function.

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

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

Given the unusual nine-parameter optional schema and no output schema, the description is too sparse. It lacks output format details, usage context, and clarification of parameter roles, leaving an agent uncertain about how to invoke the tool correctly.

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

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

Although the schema has 100% description coverage, the tool description adds little clarity and conflicts with the url parameter's schema description ('normalize or cite') by saying it returns HTTP status/content type. It also does not explain why the other eight optional parameters exist or that they are discarded.

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 HTTP status and content type for a public URL and that the body is discarded. It is specific enough to distinguish from body-returning tools, though it does not explicitly name 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 provided about when to use this tool versus related tools such as fetch-status, browser-url-ok, or normalize-url. The description also does not clarify that URL is the only meaningful parameter despite the many optional schema fields.

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 'Title discarded after the call,' which indicates a data-handling behavior. However, this is inconsistent with the schema, which contains no 'title' parameter. No other behavioral traits (e.g., read-only, side effects, permissions) are disclosed, and annotations are absent, so the transparency is minimal and confusing.

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 a single sentence to convey the core purpose. It is front-loaded and easy to parse, with no filler or unnecessary details. This is an ideal length for a simple 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 has no output schema and low complexity, the description provides the basic purpose. However, the mismatched input schema creates significant confusion about expected parameters, and there is no explanation of how the check is performed or what constitutes a valid title. The description is incomplete in the context of the full tool definition.

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 text adds no meaning about parameters. While the schema descriptions claim 100% coverage, they are absurdly mismatched (e.g., 'ref' for Git refs, 'city' for weather hints) and do not relate to checking Wikipedia titles. The description fails to clarify what input is actually expected, making it impossible to understand parameter usage.

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

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

The description clearly states the tool's purpose: to check whether a Wikipedia title exists. The verb 'check' and object 'Wikipedia title exists' are specific. However, it does not mention scope or distinguish itself from related tools like fetch-status or normalize-url, leaving some ambiguity about its exact role.

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. There is no mention of preferred scenarios, limitations, or relationships to sibling tools. Users are left to infer appropriate usage without any contextual hints.

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