HTTP 404 not-found

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

The description adds some transparency by noting 'Page content is not stored,' which is useful. However, with no annotations provided, the description carries the full burden of behavioral disclosure. It does not disclose what 'normalize or cite' means, whether the tool makes network requests (though it returns HTTP status, implying so), what happens with the 'json' or 'zone' parameters, or any side effects beyond not storing content. The behavioral traits are only partially covered.

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

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

The description is short and front-loaded with the primary action, which is good. However, it omits crucial information about the other parameters, which means it is not just concise but under-specified. The single sentence earns its place but leaves significant gaps.

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 4 parameters and no output schema, the description is incomplete. It explains only the URL-related behavior and completely ignores 'host', 'json', and 'zone', which are part of the input schema. An agent would not know what these parameters do or how to use them, and there is no return-format description either. The tool may work for the URL case but is inadequately specified for its full interface.

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 documents all four parameters with short descriptions. The tool description adds no parameter-specific meaning beyond that, but since the schema already provides baseline descriptions, the score is at the baseline of 3. The gap is that the description does not explain how 'json', 'zone', and 'host' relate to the stated URL-citation purpose.

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

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

The description states a verb and resource ('Return host, scheme, and HTTP status for a URL') which is informative, but the tool name 'citation' and the presence of parameters like 'json' and 'zone' suggest a broader or different purpose than just URL checking. The description does not clarify what citing a URL means or how it relates to the additional parameters, making the tool's core function ambiguous.

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

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

The description gives no guidance on when to use this tool versus alternatives, and it does not mention the 'json' or 'zone' parameters at all. There is no stated context for when citation is appropriate, nor any exclusions or conditions under which a different tool should be used.

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

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

With no annotations, the description must carry safety and behavioral disclosure. It does disclose that identifiers are not retained, which is useful privacy context, but it does not say whether the operation is read-only, whether data leaves the environment, or what side effects occur. This is partial but not comprehensive.

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

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

Two short sentences, with the core action first and a privacy note second. No redundant phrasing; both sentences earn their place.

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

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

No output schema and no description of the return format, classification categories, or whether parameters are exclusive or optional. The tool also lacks usage context in a crowded sibling set, so an agent cannot anticipate the call's result or parameter requirements.

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 four parameters are documented in the schema, so the baseline is 3. The description adds no parameter-specific meaning, such as which parameter(s) constitute 'this request' or whether exactly one must be provided.

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 gives a verb ('Show') and an object ('this request'), but 'classified' is vague and the tool name 'compatibility' is never reflected. It does not state what kind of classification is returned or how it differs from sibling tools 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?

No mention of when to choose compatibility over normalize-url, validate-json, timezone, or other siblings. The description provides no context, exclusions, or alternative routing, so an agent must infer usage from the schema.

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 behavioral disclosure. It reveals only one negative trait (no WHOIS/ownership data) and says nothing about what happens with url, json, or zone inputs, what output is produced, or whether the operation is side-effect-free. This is minimal and insufficient for a schema with four distinct parameter purposes.

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

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

The description is a single sentence and front-loaded, but it is under-specified rather than concise. A tool with four optional parameters, no annotations, and no output schema requires more than one sentence to be usable by an agent.

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

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

The description is completely inadequate for the tool's apparent complexity. It documents only the hostname-splitting behavior while the schema implies the tool also handles URL normalization, JSON validation, and timezone names. With no annotations and no output schema, an agent cannot reliably determine 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?

Schema description coverage is 100%, so the baseline is 3. The description adds no extra parameter meaning beyond what the schema already provides, and it only aligns with the 'host' parameter while ignoring url, json, and zone. It does not contradict the schema, but it also does not enhance it.

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 ('split a hostname into labels') and a limitation ('without WHOIS or ownership data'), but it only covers hostname processing. The input schema also accepts url, json, and zone parameters with distinct purposes (normalize/cite, validate, timezone), so the description severely under-represents the tool and may mislead an agent selecting 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?

No guidance is given about when to use this tool versus alternatives. The phrase 'without WHOIS or ownership data' implies some contrast with other domain tools, but it never states the condition for using this tool or what alternatives exist. No siblings are effectively provided either.

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

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

No annotations are provided, so the description must carry the full burden of disclosing behavior. It does not mention return values, side effects, network access, or any relationship to the four supplied parameters. The description gives no observable behavioral information beyond the vague word 'meaning.'

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

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

The description is short, but this is under-specification rather than effective conciseness. It is a single low-information phrase that does not earn its place because it omits all operational 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?

With four optional parameters, no output schema, no annotations, and minimal description, the tool is not adequately specified. The description gives no indication of what the tool returns, what inputs are meaningful, or how it differs from siblings, making it incomplete even for a simple lookup.

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

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

Although schema coverage is 100%, the parameter descriptions appear unrelated to the tool's purpose: url is for normalization/citation, json is for validation, and zone is a timezone name. The tool description adds no explanation of how or whether these parameters relate to HTTP 404, so an agent cannot determine which optional parameter, if any, should be passed.

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 'Meaning of HTTP 404' is a noun phrase that restates the tool name without stating an action or operational behavior. It does not say whether the tool returns an explanation, checks a URL, or generates an error page, and it fails to distinguish itself from the sibling status-catalog 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 on when to use this tool versus alternatives like status-catalog, cite, or normalize-url. No conditions, exclusions, or preferred contexts are mentioned, leaving the agent without selection criteria.

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

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

No annotations are provided, so the description must carry the full behavioral burden. It does not disclose whether the tool reads data, returns a list, validates input, or has any side effects. The only behavioral hint is the phrase 'for clock calls,' which is too vague to be actionable.

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

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

The description is a single, front-loaded sentence with no redundant wording. It is efficient, though the brevity contributes to the overall under-specification.

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 four optional parameters, no annotations, and no output schema, the description is severely incomplete. An agent cannot determine what to pass, what the tool will do with those inputs, or what a successful response looks like. This is far below the minimum viable level for correct invocation.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no parameter-level meaning and, notably, the timezone-name focus does not explain why 'url', 'host', and 'json' parameters exist. Still, the schema itself documents all parameters adequately.

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

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

The description identifies the domain ('Common IANA timezone names') and a suggested use case ('for clock calls'), but it is a noun phrase with no explicit verb such as 'returns', 'lists', or 'validates'. It does not clearly differentiate this tool from siblings like 'timezone' or 'validate'.

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. Sibling names such as 'timezone', 'validate', and 'normalize' suggest related functionality, but no selection criteria or exclusions 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 operation is a read of a public resource and that the output is limited to group counts rather than full content, which is useful. It does not cover failure behavior (e.g., missing robots.txt), what 'public' requires, or how the non-URL parameters factor into behavior, so transparency is adequate but thin.

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

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

The description is a single front-loaded sentence with no filler; every word earns its place. It is slightly under-specified, but that is a completeness concern, not a conciseness one.

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 or annotations, and the description never explains what 'group counts' means, what the response looks like, or how the optional host/json/zone parameters relate to the fetch. For a tool with four optional parameters and zero structured context, this leaves too much for the 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 coverage is 100%, which normally earns a baseline of 3, but the parameter descriptions conflict with the tool's stated purpose: url is described as 'HTTPS URL to normalize or cite' rather than the source of a robots.txt, and json/zone appear unrelated to robots.txt inspection. The description adds no parameter guidance, so an agent cannot confidently determine which parameters are relevant.

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

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

The description names a specific verb (fetch), a concrete resource (a public robots.txt), and a precise return scope ('group counts only'), which clearly differentiates it from the sibling fetch-robots that would return the full file. It does not name the sibling explicitly, and the parameter schema hints at other unrelated behaviors, but the core purpose is unambiguous.

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

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

The phrase 'return group counts only' implies the tool is for when an agent needs only the group counts rather than the full robots.txt content, so the intended usage is inferable. There is no explicit when-to-use instruction, exclusion, or named alternative, leaving the choice between inspect-robots and fetch-robots to inference.

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

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

With no annotations, the description must carry the transparency burden. It honestly discloses a key behavioral trait: dropping query and fragment. However, it does not explain whether this is a pure string operation, how invalid URLs are handled, or why the schema accepts `host`, `json`, and `zone` – leaving those behaviors 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 two short sentences with no filler, and the primary behavior is front-loaded. Every word earns its place, making this excellent in conciseness and structure.

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

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

For a tool with four optional parameters and no output schema, the description omits essential context: which parameters actually apply, what happens when multiple are supplied, and what the returned origin/host/path format looks like. The mismatch between the description and the schema's extra parameters makes the definition incomplete for reliable invocation.

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

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

All parameters have schema descriptions, so the baseline is 3, but the description only covers URL normalization and ignores `host`, `json`, and `zone`. The `json` and `zone` descriptions appear unrelated to URL normalization, and no linkage is provided between the description and the full parameter set, which confuses rather than clarifies invocation.

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 exact operation – returning origin, host, and path – and explicitly says query and fragment are dropped, making the core behavior clear. It does not explicitly contrast with sibling tools, and the extra `json`/`zone` parameters in the schema create some ambiguity, so I cap at 4.

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 statement 'Query and fragment are dropped' gives one implicit exclusion: if a caller needs those parts, this tool is not appropriate. But there is no explicit 'use this when...' guidance, no mention of alternatives, and no conditions or prerequisites beyond the schema's 'HTTPS URL' hint.

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?

无注解，且描述未透露任何行为特性，如查询方式、返回结构、副作用或错误处理，完全依赖猜测。

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?

描述过短（仅一个短语），缺乏必要信息，属于未充分说明而非简洁。

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?

在无注解、无输出schema、参数语义不明的情况下，描述极不完整，无法支持正确调用。

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?

虽然schema覆盖度为100%，但描述未说明参数如何与状态码目录关联，如url、host、json、zone与HTTP状态码的关系，语义不明确。

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?

描述'Short catalog of common HTTP status codes'仅说明这是一个状态码目录，但未指明该工具的具体功能（如查询、验证、转换等），动词缺失，无法与兄弟工具区分。

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?

描述未说明何时使用此工具，也未提及任何替代工具或排除条件，上下文信息完全缺失。

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 carries the full burden. It honestly discloses the read-only behavior of retrieving current time, but it does not state the output format, whether zone is the only operative input, or why url/host/json parameters appear 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?

One short, front-loaded sentence with zero filler. Every word earns its place.

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

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

For a simple tool the statement is nearly sufficient, but it omits the return shape (ISO timestamp, offset, wall-clock) and leaves the three unrelated parameters unresolved. An agent cannot be fully confident about how 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?

Schema coverage is 100%, so the baseline applies. The description adds no meaning beyond the schema's existing 'IANA timezone name' for zone and provides no clarification on the relevance of url, host, and json to a timezone lookup.

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

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

The description states a specific verb+resource ('Current time' in a 'named IANA timezone'), making the tool's function immediately clear. None of the siblings (citation, compatibility, inspect, normalize, status, validate) suggests timezone time lookup, so it is fully distinguished without needing to open the schema.

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

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

The description gives no guidance on when to use this tool versus alternatives, nor any exclusions or context. An agent gets the basic function but no routing information.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it fails. It does not state whether the call is read-only, what output format to expect, or what the four accepted parameters actually do to the result. The behavior of the tool with respect to url, host, json, and zone is completely undisclosed, leaving the agent to guess whether passing these values changes the returned timestamp.

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?

Three words is under-specification, not conciseness. The brevity omits all information about the four parameters, the output format, and the relationship to sibling tools. Unlike efficient two-sentence definitions that front-load scope, this one provides no usable structure for an agent deciding how to invoke the 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?

A four-parameter tool with no annotations and no output schema cannot be adequately specified in three words. The description fails to explain why the parameters exist, what the return value looks like, or how this tool differs from the closely related 'timezone' and 'iana-zones' siblings. The input contract and the stated purpose appear to describe two different tools, and nothing in the description resolves the 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?

Schema description coverage is 100%, which sets a baseline of 3, but the schema descriptions describe behaviors (URL normalization, JSON validation, IANA timezone names) that have no evident connection to the stated purpose of returning the current UTC time. The description adds no clarification about which parameters are relevant or whether they are ignored, so an agent cannot determine whether passing 'url' or 'zone' affects the 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 'Current UTC timestamp' does state the tool's output with a specific resource, so the basic purpose is identifiable. However, the input schema defines four parameters (url, host, json, zone) that describe capabilities entirely unrelated to reading a UTC clock, and the description never reconciles this mismatch. An agent cannot tell whether this tool actually normalizes URLs, validates JSON, or returns time based on a zone, making the purpose incoherent with the input contract.

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. The sibling list includes 'timezone' and 'iana-zones', which an agent could easily confuse with a UTC-time tool, and the description draws no boundary or selection condition among them. The three-word text implies 'use when you need the current UTC time' but provides no exclusions 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?

With no annotations, the description must fully disclose behavioral traits. It does mention that the body is discarded, which is a useful privacy detail, but this is already documented in the json parameter's schema description. The description does not state the return format (e.g., boolean, validation error) or how 'valid' is determined, leaving critical behavioral information omitted.

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

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

The description is a single sentence, which is concise, but it is under-specified. It fails to clarify which parameter is the 'body' and what the outcome of the validation looks like. It is not optimally front-loaded with concrete, actionable 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?

There is no output schema and no annotations, leaving a substantial gap. A JSON validation tool should explain what the tool returns (e.g., a boolean, success/error status) or any side effects beyond discarding the body. The description is too thin for an agent to invoke 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?

Schema description coverage is 100%, so the schema already documents all four parameters. The tool description adds no parameter-specific meaning; it only references a generic 'body' that presumably maps to the json parameter. Baseline 3 applies since the schema carries the burden.

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

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

The description states a clear action ('Check whether a body is valid JSON') with a specific verb and resource. However, it does not distinguish this tool from sibling tools like normalize-url or cite, and the word 'body' is vague without referencing the json parameter.

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. It does not mention typical use cases, exclusions, or any context that would help an agent decide between this and sibling tools.

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