SemVer numbers only

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose that 'Page content is not stored', which is a useful privacy note, but it omits other behavioral traits: whether the URL is fetched, what happens on redirects, whether JSON is validated against any schema, why a timezone zone is accepted, and what the output format looks like. The description is incomplete for a tool with four seemingly unrelated 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 short and front-loaded with the primary action, which is efficient. The phrase 'Page content is not stored' is a useful privacy note packed into one clause. However, it is so terse that it sacrifices necessary explanation of the tool's broader scope, leaving the agent to guess about the extra params.

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

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

The tool has no annotations and no output schema, and the description only covers a fraction of the tool's apparent behavior. The input schema suggests the tool handles URL normalization, HTTP status, JSON validation, and timezone validation, but the description only mentions host, scheme, and HTTP status. With zero annotations and no output schema, the description must carry far more weight than a single sentence. This is a serious gap in contextual 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?

Schema description coverage is 100%, so the schema documents each parameter's type and a terse description (e.g., 'HTTPS URL to normalize or cite', 'JSON text to validate; discarded after the check'). However, the tool's description does not explain how these parameters relate to each other. An agent cannot tell whether 'host' is an input or an output, whether 'json' and 'zone' are optional inputs or irrelevant, or how they interact. The description adds no meaning beyond the schema; it even introduces confusion by omitting json and zone entirely.

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 'Return host, scheme, and HTTP status for a URL' which names a specific action and resource, so it barely avoids a tautology. However, the tool name is 'citation' and the description does not explain how returning host/scheme/status relates to citing or normalizing a URL, and it fails to differentiate from sibling tools like normalize-url or status-check. The input schema's mention of JSON validation and timezone names is completely unaddressed in the description, making the tool's actual purpose unclear.

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

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

The description provides no guidance on when to use this tool versus alternatives. Sibling tools like normalize-url, status-check, and validate-json suggest overlapping functionality, but there is no mention of when citation is preferred. It also does not state prerequisites (e.g., HTTPS requirement), limitations, or use cases.

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

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

With no annotations provided, the description carries the full burden, and it does disclose one meaningful behavioral trait: 'No identifiers are retained,' indicating input data is not persisted. However, it does not clarify whether the tool is read-only, makes network calls, has side effects, or how it processes the supplied parameters. The single privacy disclosure is positive but incomplete.

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

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

The description is two short sentences with the primary action front-loaded and no filler or redundant content. The privacy note earns its place as a key behavioral qualifier. However, the brevity comes at the cost of substance, so it is concise but not fully informative.

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

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

There is no output schema and no annotations, so the description alone must explain the tool's function completely. It fails to define what 'classification' means, what the output looks like, or how the four heterogeneous parameters are used together. An agent receiving this description would struggle to interpret the result or know how to construct a valid request beyond listing parameter names.

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

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

Schema description coverage is 100%, so all four parameters (url, host, json, zone) are already documented in the schema, which sets the baseline at 3. The description adds no information about how these parameters relate to 'classification' or how they interact. It does not compensate for any semantic gaps because no gaps exist in the schema, but it also adds no value beyond 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 says 'Show how this request is classified,' which names a verb and a resource but leaves the classification scheme entirely undefined. It does not state what categories or compatibility criteria exist, nor does it differentiate the tool from siblings like validate-json or normalize-url. The meaning of 'classified' is vague enough that an agent cannot predict the tool's actual function.

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 identifiers are retained' weakly implies the tool can be used when privacy is a concern, which is an implied usage context. However, there is no explicit statement about when to use this tool versus alternatives, no mention of prerequisites, and no exclusion criteria. The guidance is minimal and indirect.

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

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

With no annotations, the description carries the full burden, and it does disclose a meaningful limitation: it deliberately omits WHOIS/ownership data. However, it doesn't explain how the four parameters relate to the operation, what the output looks like, or how errors are handled, so transparency is only partially achieved.

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 zero filler, and it front-loads the verb and the resource. Every word contributes either to what the tool does or to an important boundary.

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?

Although the parameter schema is fully documented, the description doesn't tie the parameters to the stated operation: url, json, and zone seem unrelated to 'splitting a hostname'. There is no output schema and no annotation, so an agent would be left guessing about return format and how to choose between url and host.

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 and the schema already documents all four parameters. The description itself adds no parameter-level detail, but it also doesn't need to compensate for a schema gap.

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

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

The description states a specific action and object: 'Split a hostname into labels', which is enough for an agent to understand the core function. The negative clause 'without WHOIS or ownership data' adds useful scoping. However, it doesn't differentiate from actual siblings—the sibling list only contains 'domain-shape' itself—so it falls short of a 5.

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

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

No guidance is given on when to use this tool versus alternatives, and there are no named prerequisites or exclusions. The 'without WHOIS or ownership data' phrase hints at when not to use it, but it never points to a concrete alternative or context.

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

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

With no annotations provided, the description carries the full burden of disclosing behavior. It fails to state whether the tool returns a list, validates an input, performs an action, or something else. The mismatch between the described purpose (timezone names for clock calls) and the schema parameters (url, host, json) makes the tool's behavior even more 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 short and front-loaded, but it is under-specified to the point of being unhelpful. There is no verb, no object, and no structural guidance. The brevity is not an asset when the content is ambiguous.

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 unrequired parameters, no annotations, and no output schema, the description is severely incomplete. An agent cannot determine what action to take, what inputs are meaningful, what the tool returns, or how 'iana-zones' relates to url, host, and json parameters.

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

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

Schema description coverage is 100%, so the schema already documents all four parameters. The description adds marginal context ('IANA timezone names') but does not explain how the parameters relate to that purpose. Baseline 3 is appropriate since the schema carries the parameter documentation burden.

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

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

The description 'Common IANA timezone names for clock calls' is closer to a noun phrase than a clear statement of what the tool does. It restates the tool name concept ('IANA timezone names') without specifying a verb, action, or return behavior, and it does not differentiate this tool from its siblings (citation, normalize, parse, validate, etc.).

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

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

There is no guidance about when to use this tool versus alternatives, no context, and no exclusions. The only clue is the phrase 'for clock calls,' but the schema parameters (url, host, json, zone) do not obviously relate to clock calls, leaving an agent without actionable 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals that the tool fetches a public robots.txt and returns only group counts, but it does not state network/error behavior, rate limits, whether the fetch follows redirects, or what happens when the URL is unreachable. The action is a read operation, but nothing about reversibility or side effects is mentioned.

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 extremely short sentence (6 words), which is efficient in length but arguably under-specified rather than concise. It front-loads the core action, but it fails to include necessary context that would make the tool usable. There is no wasted text, but the brevity contributes to the gaps in other dimensions.

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 4 parameters, no annotations, no output schema, and a low-complexity but network-dependent operation, the description is incomplete. It does not explain the meaning of 'group counts', the relationship between parameters, expected return format, or failure modes. The tool appears to have a narrow purpose but the description leaves too much to inference.

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-specific meaning beyond what the schema already documents; it does not clarify why 'json' or 'zone' are relevant to inspecting robots.txt, nor how 'url' and 'host' relate to fetching the file. The schema's own descriptions are also minimal but technically present.

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 a resource ('Fetch a public robots.txt'), so the basic action is present, but it does not distinguish this tool from siblings or clarify what 'group counts' means. The title 'inspect-robots' and description imply a robots.txt inspection tool, yet the input schema contains unrelated parameters (json, zone) that create confusion rather than clarity.

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

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

No guidance is provided on when to use this tool versus the sibling tools (citation, etc.). There is no mention of prerequisites, URL format expectations, or exclusions. The description assumes the agent already knows the purpose, which is inadequate for selecting between 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 full burden of behavioral disclosure. It does reveal that query and fragment are dropped, which is helpful, but it says nothing about the 'host', 'json', or 'zone' parameters, nor does it describe return formatting or edge cases. The schema suggests additional behaviors that the description omits entirely.

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 filler. It front-loads the main output and states the key transformation (query/fragment dropped) efficiently.

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 incomplete given the schema's four parameters and no output schema. It covers only URL normalization, leaving the purpose and behavior of 'host', 'json', and 'zone' unexplained. An agent cannot confidently invoke the tool for all its apparent capabilities.

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 each parameter has a description. The tool description adds meaning for the 'url' parameter (dropping query/fragment), but it does not address 'host', 'json', or 'zone'. Baseline 3 applies since the schema already 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 clearly states a specific verb and resource: returning origin, host, and path for a URL while dropping query and fragment. This is distinct from raw URL retrieval, but it does not explicitly differentiate itself from sibling tools like 'url' or 'host', and it ignores the other schema fields, which creates some scope 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 provides no guidance on when to use this tool versus sibling alternatives such as 'url', 'host', or 'path'. It only states what it does; there is no mention of conditions, exclusions, or alternative 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, so the description must carry the behavioral disclosure burden, but it discloses none. There is no mention of side effects, input handling, return values, permissions, or any runtime behavior.

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

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

The phrase is short and contains no filler, but this is under-specification rather than effective concision. It lacks a verb, structure, and the front-loaded operational detail an agent needs.

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, and no annotations, a one-phrase description is completely inadequate. It leaves unanswered which parameter is used, what exactly is parsed, what is returned, and whether the tool has side effects.

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

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

Schema description coverage is 100%, so the baseline is 3 even without parameter details in the description. However, the description adds no connection between the stated SemVer scope and the actual parameters (url, host, json, zone), so it fails to help an agent identify which parameter is 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 'SemVer numbers only' is a fragment: it names a domain (SemVer) but never states an action, outcome, or what the tool does with those numbers. An agent must infer 'parse' from the tool name, and nothing distinguishes this from sibling tools.

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

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

There is no guidance on when to use this tool versus alternatives. 'SemVer numbers only' is a scope restriction, not a usage rule, and no exclusions or sibling 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?

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It reveals nothing: no mention of network requests, return format, side effects, or how the catalog relates to the input parameters. The behavioral profile of the tool is completely 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 short, which is structurally clean, but its single sentence merely restates the tool name in slightly different words. It is under-specified rather than concise; the sentence does not earn its place because it provides almost no additional information beyond the name.

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

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

With four optional parameters, no output schema, no annotations, and a description that is disconnected from the parameters, this definition is severely incomplete. An agent cannot determine what the tool returns, what it does with any of the parameters, or how it fits with sibling URL-time-format tools.

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

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

Although schema description coverage is 100%, the description does not connect the four parameters (url, host, json, zone) to the stated purpose of being a status-code catalog. This mismatch actively confuses: why would a status-code catalog need a JSON string or a timezone name? The description adds no semantic value and fails to resolve the apparent disconnect.

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

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

The description 'Short catalog of common HTTP status codes' is essentially a noun phrase restating the tool name (status-catalog → catalog of status codes). It does not specify an action verb or explain what operation the tool performs with its parameters (url, host, json, zone). It is not misleading, but it is a near-tautology and provides no distinction from sibling tools.

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

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

The description gives no guidance on when to use this tool versus the siblings (citation, normalize-url, parse-url, validate-json, timezone, etc.). There is no mention of intended use cases, exclusions, or alternatives. An agent would have no basis for selecting this tool over others.

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 behavior such as whether only the zone parameter is meaningful, what happens to the other accepted parameters, or how the current time is formatted. The extremely brief description leaves important behavioral context unstated.

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

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

The single sentence is appropriately concise and front-loaded, containing no fluff. However, it is so brief that it omits potentially useful context without becoming bloated.

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 no annotations and no output schema, the description alone is insufficient. It does not describe the return value, clarify the role of the unrelated parameters, or mention any edge cases or limitations of the timezone 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?

Schema description coverage is 100%, so the baseline is 3. The description adds little beyond the schema's zone parameter description, and it does not clarify why url, host, and json appear in the schema or whether they are ignored.

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 conveys that the tool returns the current time for a specified IANA timezone, which distinguishes it from siblings like citation or normalize. It lacks an explicit verb but the 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?

There is no guidance about when to use this tool versus alternatives, and no mention of how it relates to sibling tools. The description implies use for timezone lookups but gives no exclusions or 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?

With no annotations provided, the description carries the full burden of behavioral disclosure, and it only reveals that the tool returns the current UTC time. It says nothing about the return format (Unix seconds, ISO 8601, etc.), whether the four schema parameters are accepted or ignored, or any side effects. The odd parameter set (url, host, json, zone) is completely 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 only four words and contains no fluff, so it is undeniably concise. However, this is under-specification rather than disciplined brevity; a noun fragment that omits the verb and all contextual details earns only a middle score.

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

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

The tool has no output schema, no annotations, an overlapping sibling ('timezone'), and four confusing parameters that appear unrelated to its purpose. The single phrase 'Current UTC timestamp' is grossly insufficient for an agent to invoke this tool correctly, since the expected output format and the meaning of each parameter are wholly unexplained.

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

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

Schema description coverage is 100%, which sets a baseline of 3, but the parameter descriptions describe URLs, hostnames, JSON validation, and IANA timezone names — none of which clearly connect to fetching a UTC timestamp. The description adds no clarification about how, or whether, these parameters affect the tool's behavior. The mismatch between the tool's stated purpose and its schema is a real gap the description fails to address.

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

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

The description identifies a specific resource ('Current UTC timestamp') and an implied retrieval action. It is distinguishable from the sibling tool 'timezone', which likely handles timezone conversion rather than fetching the current UTC time. However, it is a noun fragment rather than a full verb+resource statement, leaving the action implicit.

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

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

No guidance is given on when to use this tool versus alternatives like 'timezone'. There is no stated context, no exclusions, and no mention of when this tool is the right choice. The agent is left to infer all usage conditions from the four-word description.

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 an important behavioral trait: the body is discarded after validation, implying a side-effect-free operation. With no annotations, more burden falls on the description, and it does not explain error behavior, return format, or the roles of the url/host/zone parameters.

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

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

Two short sentences, each earning its place: one for purpose, one for side-effect. The information is front-loaded and free of fluff.

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 thin for a tool with four parameters. It fails to explain the relevance of url, host, and zone to JSON validation, and provides no information about the result format. With no output schema, an agent cannot confidently determine what the tool returns.

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

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

Schema description coverage is 100%, so the schema already documents each parameter. The description adds no param-specific meaning and even uses 'body' rather than the 'json' field name, creating a minor disconnect, though not enough to lower below baseline.

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

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

The description clearly states a specific verb ('Check') and resource ('whether a body is valid JSON'), which distinguishes it from the sibling URL/robots/timezone tools. However, it refers to 'a body' instead of the 'json' schema parameter, leaving slight ambiguity about the exact input.

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, prerequisites, or context. The sibling tools are unrelated enough that confusion is unlikely, but the dimension requires explicit usage direction, which is absent.

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