Asia/Seoul clock

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

With no annotations, the description must disclose behavior on its own. It states that task text is discarded and that connection methods are returned, which are useful behavioral hints. However, it does not mention side effects, external calls, rate limits, or error handling, leaving some uncertainty for a meta-tool.

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 concise sentences with no fluff. It front-loads the core purpose and a key behavioral note (task text discarded), making it easy for an agent to quickly parse.

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

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

For a meta-tool with optional parameters and no output schema, the description covers the essential points: what it does, what it returns, and that task text is irrelevant. The parameter semantics are fully covered by the schema, and the tool's complexity is moderate, so the description is sufficiently complete for an agent to decide when to use it and what 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 schema already documents all 9 parameters with explicit descriptions (e.g., 'discarded after the length check'). The description adds no extra parameter-specific meaning, and the baseline of 3 applies because 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 states a clear purpose: find a pay-per-call tool gateway for tasks like weather, search, scrape, or voice, and returns connection methods. It distinguishes itself from siblings by focusing on discovery rather than execution, but does not explicitly name sibling tools, relying on the example tasks to imply the distinction.

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

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

The description implies usage for discovering gateways rather than performing tasks directly, and notes that task text is discarded. However, it does not explicitly state when to prefer this tool over siblings like weather-hint or search-query-len, nor does it provide exclusions or alternative routing.

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 must carry the behavioral burden. It adds the useful privacy guarantee 'Page content is not stored' and implies a read-only status check, but it does not disclose whether the URL is fetched, how errors or redirects are handled, or what happens when json or zone inputs are supplied. This leaves meaningful behavioral ambiguity.

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

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

The description is two sentences, with the core purpose front-loaded and no filler. The second sentence contributes a relevant behavioral guarantee. It is appropriately concise and well-structured.

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

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

For an unannotated tool with four optional parameters and no output schema, this description is incomplete. It omits usage guidance, the roles of json and zone, and any detail about the return object beyond three fields. The sibling set and schema complexity suggest more context is needed 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 because the schema already documents url, host, json, and zone. The description adds no parameter semantics beyond mentioning the URL and does not explain how json or zone relate to the tool's purpose. It neither enriches nor contradicts 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 first sentence clearly states a concrete action and resource: 'Return host, scheme, and HTTP status for a URL.' It is specific and understandable on its own. However, the schema also includes json and zone parameters that the description never mentions, so the full scope of the tool is ambiguous, and it does not differentiate from 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 no guidance on when to use this tool versus alternatives like normalize-url, status-catalog, validate-json, or the timezone tools. There are no stated conditions, exclusions, or preferred contexts, so an agent cannot decide between siblings based on this text.

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 full disclosure burden, but it only states 'No identifiers are retained.' It does not disclose side effects, whether the operation is read-only, whether the url is fetched, or what is actually done with the inputs. No contradiction exists, but the disclosure is minimal.

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 consists of two short sentences and is front-loaded with the purpose statement. The privacy note is relevant, though terse. It is compact with no filler, but the purpose sentence's vagueness costs it a 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?

With no output schema and no annotations, the agent needs to know what 'classified' returns and how the four optional inputs shape the request. The description leaves this undefined, and the schema only names the inputs without explaining their combination. Completeness is inadequate 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 schema already documents all four parameters individually. The description adds no cross-parameter meaning: it does not explain how url, host, json, and zone relate to the classification or whether they are mutually exclusive. Baseline 3 is appropriate.

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 weak verb ('show') and an undefined resource ('this request'). It never defines what 'compatibility' means or what the classification output looks like, and it does not differentiate from siblings such as normalize or validate. It is vague rather than tautological.

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 compatibility versus the siblings citation, domain-shape, normalize, or validate. Nothing states whether url, host, json, and zone are alternatives or combined, so the agent cannot infer selection conditions. There is no exclusion or prerequisite 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. It does disclose a meaningful boundary: no WHOIS or ownership lookup occurs. However, it stays silent on return format, side effects, or any network behavior, though the tool appears to be a simple pure transformation.

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 efficient sentence with no filler, and the key caveat is included. It is appropriately front-loaded, though its brevity sacrifices useful contextual 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?

For a tool with no output schema, no annotations, and four optional parameters, the description should explain the return shape and how to choose among inputs. It only covers the hostname-splitting concept, leaving url/json/zone semantics and output behavior unaddressed.

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 url, host, json, and zone. The description adds little beyond implying that 'hostname' maps to the host parameter, and it does not clarify why the other parameters are accepted. Baseline 3 is appropriate given the complete 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 states a concrete verb and resource: 'Split a hostname into labels.' It also adds a distinguishing negative qualifier, 'without WHOIS or ownership data,' which helps separate it from ownership-oriented tools. However, it does not reconcile the presence of url/json/zone parameters with the 'hostname' focus, so the core purpose is clear but not fully schema-aligned.

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 explicit guidance on when to use this tool versus alternatives. The phrase 'without WHOIS or ownership data' only states what the tool does not do, and none of the sibling tools are mentioned. An agent is left to infer when domain-shape is the right choice.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Common' hints that the list is not exhaustive, which is useful, but the description does not disclose what the tool returns, how it behaves when called, 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 short and has no filler, so it is concise. However, the brevity comes largely from under-specification: it is a noun phrase rather than an actionable sentence, and it leaves key operational details unstated.

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 and no annotations, the description needs to explain what an agent should expect from the tool. It does not state the return format, the exact set of names covered, the invocation style, or how it relates to the sibling time tools, making the definition incomplete for reliable use.

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

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

The schema descriptions cover each parameter, but the description adds no guidance about which of the four optional parameters actually apply to iana-zones. Three of the parameters (url, host, json) are unrelated to timezone names, and with zero required parameters the agent is left unsure whether to call the tool with no arguments, with zone, or with something else.

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 resource as common IANA timezone names and gives a context ('for clock calls'), so an agent can roughly infer a catalog/reference purpose. However, it lacks a verb or output statement, so it is not clear whether the tool lists, returns, validates, or filters these names. It also does not distinguish itself from siblings like timezone or utc-time beyond the ambiguous phrase.

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?

'For clock calls' is the only usage hint and is vague. There is no guidance about when this should be used instead of timezone, utc-time, or tz-asia-seoul, and no mention of whether it should be called with arguments or no arguments.

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 does disclose that only group counts are returned, not the full robots.txt content, which is useful. However, it omits basic behavioral context for a fetch operation: network request behavior, error handling, redirects, rate limits, or what happens when the URL is invalid or robots.txt is absent.

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: verb, resource, and output are all present. It is appropriately concise, though it sacrifices important contextual detail that other dimensions capture.

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 network-fetching tool with 4 optional-looking params, no output schema, and no annotations, this description is too thin. It does not state the minimum required input, how group counts are formatted, or how to handle the mismatched json/zone params. An agent would likely struggle 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%, but the schema descriptions are strikingly inconsistent with the tool's purpose: url is described as 'HTTPS URL to normalize or cite' rather than a robots.txt URL, and json/zone seem unrelated. The description does not clarify which parameter to use or why the others exist, so it fails to add meaning beyond the conflicting 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?

Description uses a specific verb 'Fetch', names the resource 'public robots.txt', and states the exact output 'return group counts only'. It is clear and domain-specific, though it does not explicitly distinguish itself 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?

There is no direct when-to-use or alternative guidance. The phrase 'return group counts only' implies a focused use case, and the public/robots.txt scope provides some context, but the tool does not state when an agent should choose it over a sibling or what not to use it for.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does usefully state that query and fragment are dropped, but it fails to disclose how the host, json, and zone parameters are handled, what happens on invalid input, or whether unrelated inputs are silently 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 two tight sentences with no filler. The primary behavior is front-loaded, and the dropped components note is concise and useful. It earns full credit for structure and brevity.

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 only addresses the url parameter while the schema exposes three additional parameters with no explanation of their relationship to the tool. There is no output schema and no annotation context, so an agent cannot confidently understand the full contract of this tool or avoid misusing it with json, zone, or host inputs.

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 additional parameter explanation. The description adds a little semantic value by noting that query and fragment are dropped from the URL, but it does not clarify the puzzling presence of json and zone parameters or how they relate to the tool's stated purpose.

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

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

The description clearly states a specific action and output: returning origin, host, and path for a URL. It is not tautological and gives the agent a concrete idea of the tool's core purpose. However, it does not differentiate from sibling tools or address the unrelated-looking schema parameters, 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?

The description gives no guidance on when to use normalize-url versus alternatives like validate-json, timezone, or citation. It also does not explain the role of the host, json, and zone parameters, leaving the agent without a decision framework 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Short catalog' only implies a passive, read-only tool, but it does not state whether the tool inspects the input parameters, performs network requests, or returns a static list. The behavior with url, host, json, and zone is completely undisclosed.

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

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

The text is short and free of fluff, but this is under-specification rather than effective conciseness. A single fragment that restates the tool name cannot serve as a usable description. It lacks a verb, usage context, and any 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 parameters, no required fields, no annotations, no output schema, and several sibling tools, this one-line topic statement is grossly incomplete. An agent cannot determine what input to supply, what the catalog contains in relation to those inputs, or what the tool returns. This is completely inadequate for correct tool 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 even though the description adds no parameter-level meaning. The description's HTTP-status-code focus does not connect to the four parameters, but each parameter has its own schema description. The tool description therefore adds no extra semantic value beyond what the schema already provides.

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 is essentially a noun phrase that restates the tool name: a 'short catalog of common HTTP status codes' adds little to 'status-catalog'. It identifies a topic but not a clear operation such as 'returns', 'looks up', or 'filters'. It does not meaningfully differentiate the tool from siblings beyond the HTTP-status-code topic.

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

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

The description provides no guidance on when to use this tool versus any sibling tool such as 'validate-json' or 'normalize-url'. There are no stated conditions, exclusions, or recommended alternative tools. An agent would have to guess whether this is for checking returned codes, explaining codes, or producing a list.

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 alone carries the burden of behavioral disclosure, and it offers none beyond the core function. It does not state the output format, time resolution, or any edge behavior. The read-only nature is inferable from 'current time,' but the description adds nothing beyond what the purpose already communicates.

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?

Eight words, one sentence, purpose front-loaded with zero filler. Nothing extraneous competes for an agent's attention, and the structure is ideal for quick parsing.

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 tool with no output schema and a polluted parameter list needs the description to clarify that only 'zone' is meaningful and to describe what is returned; it does neither. An agent following the schema could pass url, host, or json and get an error, or silently confuse this with a sibling 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?

Schema coverage is 100%, which normally sets a baseline of 3, but the schema carries three parameters (url, host, json) whose descriptions ('HTTPS URL to normalize or cite', 'Public hostname', 'JSON text to validate') belong to sibling tools, not to a timezone lookup. The description only reinforces the zone parameter ('named IANA timezone') and gives an agent no help distinguishing valid from irrelevant inputs, so the mismatch pulls the score 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 names the resource (IANA timezone), the result (current time), and the required input (a named zone), and it is plainly distinct from siblings like normalize-url and validate-json. It reads as a noun phrase rather than an action verb, so it slightly understates the operation, but the intent is unambiguous.

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

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

The description only implies when to use the tool — whenever the current time in a named IANA timezone is needed. It provides no explicit conditions, exclusions, or comparison to alternatives. That is acceptable for a trivial read tool, but it is still thin guidance.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the output is the current local time but does not disclose the output format, whether any parameters are accepted or ignored, or whether this is a read-only lookup. The presence of irrelevant-looking schema fields like url, host, and json for a fixed-zone time tool makes the behavior less 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, front-loaded sentence with no filler. It efficiently states the core purpose, though it is slightly under-specified in terms of usage and output details.

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 and no annotations, the description must carry more context, but it only provides a one-line statement. It does not explain how the four schema parameters relate to this tool, what the returned time looks like, or whether calling with no arguments is intended. This is incomplete for an agent deciding 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?

Schema description coverage is 100%, so the baseline is 3. The description adds no parameter-specific meaning beyond the schema and does not clarify whether the zone parameter should be supplied or whether url, host, and json are unrelated to this tool. The schema's own descriptions are adequate, so it remains at the 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 identifies the resource (Asia/Seoul) and the value returned (current local time), and the tool name itself distinguishes it from the more generic timezone, utc-time, and iana-zones siblings. It lacks an explicit action verb and does not directly contrast with sibling tools, so it stops short of a 5.

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

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

There is no guidance about when to use this tool versus alternatives such as timezone, utc-time, or iana-zones. No exclusions, conditions, or alternative-recommendations are provided, leaving the agent to infer usage purely from the tool name.

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, but it only says 'Current UTC timestamp.' It does not disclose output format, precision, whether the system clock is used, or whether any of the four accepted parameters are actually relevant to the operation.

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, containing no filler. However, its brevity leaves important behavioral and parameter-related details unstated, though that is more a completeness issue than a conciseness issue.

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

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

With no annotations, no output schema, and four optional parameters that appear unrelated to the stated purpose, the description is insufficient for an agent to invoke the tool confidently. It lacks critical context about output format and parameter relevance.

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 documents all four parameters, their meanings—URL normalization, citation, JSON validation, and timezone names—have no stated connection to returning the current UTC timestamp. The description adds no clarification about whether these parameters affect the result or 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 states 'Current UTC timestamp,' which clearly tells an agent this tool returns the present UTC time. It distinguishes itself from sibling timezone-related tools by explicitly specifying UTC, though it lacks an explicit verb and does not define the timestamp format.

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

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

No guidance is provided for when to use utc-time versus siblings such as timezone or tz-asia-seoul. The description does not clarify whether parameters like zone should be supplied or ignored, leaving the selection and invocation decision ambiguous.

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's only behavioral disclosure, 'The body is discarded,' adds a relevant side-effect note, but it duplicates the json parameter description in the input schema ('discarded after the check'). With no annotations and no output schema, the description still fails to disclose what the tool returns, whether validation errors are surfaced, or any other runtime behavior.

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

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

The description is extremely concise and front-loaded: the core purpose appears in the first sentence, and the secondary side-effect statement is short. There is no filler or unnecessary elaboration.

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 and no annotations, the description should explain what a successful or failed validation returns, but it does not. It also never clarifies how the 'body' maps to the json parameter or why url/host/zone are present, leaving important context missing for a tool an agent must invoke correctly.

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

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

Schema description coverage is 100%, so the parameters are already well documented. The tool description adds no further meaning to url, host, json, or zone beyond what the schema provides, so the baseline score of 3 is appropriate.

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') and resource ('a body is valid JSON'), so an agent can immediately tell what the tool does. It does not explicitly differentiate from sibling tools by name, but siblings like normalize-url, status-catalog, and timezone are clearly distinct in 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?

Usage context is implied by the phrasing 'Check whether a body is valid JSON' – an agent can infer it should be used when validation is needed. However, the description does not explicitly state when to use it versus alternatives, nor does it mention any conditions or exclusions.

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