Africa/Cairo clock

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

With no annotations, the description carries the burden of disclosing behavior. It does mention it returns connection methods and discards task text, but it omits side effects, failure modes, cost implications, network access, or whether external calls are made. This is insufficient for a tool named 'agent-tool-index'.

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 and avoids redundant wording. It front-loads the main purpose and then adds a behavioral note. It could be slightly clearer, but it is 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?

Despite a rich schema, the description does not explain how the parameters map to the advertised task categories (weather, search, scrape, voice) nor what 'connection methods' looks like in the response. With no output schema and nine optional parameters, an agent cannot confidently determine what input to provide for a given intent.

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% with each parameter having a description, so the baseline is 3. The tool description itself adds no extra parameter-level meaning, but the schema descriptions already convey that values are discarded after shape checks. No contradiction or enhancement 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 states a clear action ('Find a public pay-per-call tool gateway') and a resource type, with examples of target tasks (weather, search, scrape, voice) and what it returns ('connection methods'). However, the phrase 'Task text discarded' introduces ambiguity about how the task is specified, preventing a perfect score.

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 suggests when to use it ('for a task such as weather, search, scrape, or voice') but does not contrast it with sibling tools or explain when NOT to use it. The 'Task text discarded' note implies it is not for processing actual task text, but this is not explicit.

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 full behavioral disclosure. It only adds 'Page content is not stored,' which is a helpful retention/privacy trait, but it omits significant behavioral details such as network side effects (making an HTTP request), rate limits, or what data (if any) is retained beyond page content.

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 primary action front-loaded. 'Page content is not stored' earns its place as a behavioral note. No wasted words.

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, no output schema, and four parameters across multiple domains (URL, host, JSON, timezone), the description is too sparse. It does not explain how the parameters fit together, what the tool returns beyond host/scheme/status, or when the additional parameters are required. This leaves an agent under-informed for a tool with broad scope.

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% and each parameter has a description, so the schema already documents the parameters. The tool description does not add meaningful semantics beyond the schema, such as how url, host, json, and zone relate to each other.

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: 'Return host, scheme, and HTTP status for a URL.' This is a concrete verb+resource pair. However, it does not mention the json or zone parameters, which weakens its completeness for a tool that appears to also validate JSON and timezones.

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

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

The description provides no guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites. There is no mention of when the json or zone parameters would be relevant, leaving the agent to infer usage from parameter names.

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 behavioral burden. The one concrete behavioral claim, 'No identifiers are retained,' gives a privacy guarantee but does not disclose whether the operation is read-only, what is computed, what output to expect, or whether any external effects occur. This is insufficient for a tool with no annotation safety profile.

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

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

The description is only two sentences with no filler, which is concise. However, the first sentence is so broad that it fails to be informative, and the useful privacy note is placed second rather than leading with the core purpose. It is efficient but under-specified.

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?

Despite four documented parameters, there is no output schema, no required parameters, and no explanation of what 'classified' means or what the return value looks like. An agent would not know whether the tool returns a category string, a report, or an error for missing inputs. The siblings sharpen the context but the description itself leaves too much unresolved.

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 the four parameters. The description adds almost no parameter-specific meaning; terms like 'this request' vaguely refer to the inputs without clarifying how url, host, json, or zone map to classification. Per the baseline rule for high schema coverage, a 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 states a verb and a resource ('Show how this request is classified'), but 'classification' is undefined – it does not say what classes or criteria are used. With siblings like normalize-url, validate-json, and timezone, an agent cannot tell what compatibility-specific task this performs. It is less vague than a pure tautology ('Process') but stops short of a clear purpose.

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

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

There is no guidance on when to use this tool versus any of the ten siblings. The optional parameters suggest it can be called with any of url, host, json, or zone, but the description never states which input triggers what behavior. No when-to-use or when-not-to-use context is provided.

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

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

With no annotations, the description must carry the behavioral burden. It discloses that no ownership data is returned, but it does not mention side effects, network access, auth requirements, or what happens when non-hostname parameters like json or zone are supplied. Behavior beyond the single stated operation is 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 single sentence is front-loaded and contains no filler. It loses a point only because a second clarifying sentence about accepted inputs would have made the definition more useful without harming conciseness.

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?

Despite having four optional parameters covering url, host, json, and zone, the description only addresses hostname splitting. There is no output schema or annotations to clarify return values, input precedence, or the fate of the json/zone parameters, so the tool is under-specified for an agent.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds a little meaning by tying the tool to hostnames and labels, but it does not clarify how url, json, or zone map to the described behavior.

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 uses a specific verb ('Split') and resource ('hostname'), and specifies the output ('labels'). The clause 'without WHOIS or ownership data' distinguishes this from ownership/WHOIS tools and clarifies what the tool deliberately does not do.

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 prefer this tool over siblings such as normalize-url or validate-json. The only hint is the negative 'without WHOIS or ownership data,' which implies an exclusion but does not state contexts 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 provided, the description bears the full burden of disclosing behavior, and it says nothing about return format, side effects, filtering, or whether this is a read-only lookup. Worse, the schema exposes parameters url, host, and json, which imply normalize/cite/validate behaviors that contradict the stated timezone-names purpose. An agent cannot predict what actually happens when this tool is invoked.

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?

At eleven words, the description is short and front-loaded, but this is under-specification rather than conciseness. For a tool whose schema contains four unrelated parameters, one noun phrase provides far too little guidance to earn a higher structural 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?

Given four optional params, no output schema, no annotations, and a schema that appears copied from a different tool, this description is grossly incomplete. An agent cannot determine what the tool returns, which parameter drives the call, or why url, host, and json are accepted. The tool is effectively uncallable with confidence.

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 normally sets a baseline of 3, but the description adds zero parameter context. More importantly, three of the four parameters (url, host, json) are semantically unrelated to a timezone-listing tool, and the description does nothing to resolve that incoherence. Only 'zone' aligns with the stated purpose, so an agent has no way to know whether or why to pass the others.

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

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

The description names the resource ('Common IANA timezone names') and ties it to clock calls, which hints at its role relative to the sibling 'time' tool. However, it lacks an explicit verb — does the tool list, return, or search names? — and the phrase 'for clock calls' is vague about what the agent actually gets back. It is understandable but not precisely differentiated.

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 'for clock calls' weakly implies the tool is used when a timezone name is needed for a time/clock operation, but there is no explicit when-to-use guidance, no when-not-to-use conditions, and no mention of alternatives among the siblings (citation, json, time, validate). Usage is left 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 carries the full burden. It honestly states that only group counts are returned, which sets output expectations, but it does not disclose potential failure modes, network dependency, or behavior when robots.txt is missing/malformed.

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?

A single, front-loaded sentence with no filler. It packs the action, resource, and output restriction into ten words.

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, no output schema, and four optional params that are not tied to the described operation. The description is too sparse to let an agent confidently call it correctly; it omits which param supplies the target, expected return format details, and error behavior.

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 a baseline of 3 is warranted, but the description adds nothing about how the four parameters map to the robots.txt operation. Worse, the parameter descriptions ('HTTPS URL to normalize or cite', 'JSON text to validate') appear mismatched with the stated purpose, and the description does not resolve that confusion.

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 specific resource ('public robots.txt'), and an exact output ('return group counts only'). This cleanly distinguishes it from the sibling tools like citation, validate-json, and normalize-url, making its purpose clear.

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 siblings. The description simply states what the tool does, leaving the agent to infer the appropriate context and offering 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 provided, the description carries the burden of disclosing behavior. It does disclose a key behavior: query and fragment are dropped, implying the output is a reduced URL form. However, it does not explain behavior for the json or zone parameters, nor what happens when multiple parameters are supplied together.

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

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

The description is extremely concise: two sentences, no filler, and the primary behavior is front-loaded. Every word adds information about what the tool does.

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, no output schema, and four optional parameters, yet the description only explains URL normalization. It does not clarify why json and zone are parameters, what host means as an input, or how the agent should decide which arguments to provide. This is inadequate for a tool with this much parameter surface area.

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 some meaning for the url parameter by explaining that query and fragment are removed, but it creates ambiguity by naming 'host' as an output while 'host' is also an input parameter. It adds no value for the json or zone parameters beyond their terse schema descriptions.

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

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

The description states a specific action ('Return origin, host, and path') and a concrete transformation rule ('Query and fragment are dropped'). It is not a tautology and gives an agent a clear idea of the tool's core output. However, it does not distinguish itself from sibling tools like citation or domain-shape, 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 about when to choose this tool over alternatives, no prerequisites, and no exclusions. An agent must infer that the tool is for URL normalization, but nothing indicates when citation, domain-shape, or inspect-robots would be more appropriate.

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 at all, the description carries the full burden, but it only says the catalog is 'short.' It does not disclose whether the call is read-only, what the response contains, whether the parameters are ignored, or whether inputs are transformed or discarded (the json parameter itself says 'discarded after the check,' which is not reflected in the description).

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

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

The description is a single front-loaded sentence with no filler, so it scores well on conciseness. However, it is so short that it sacrifices substance; this is reflected 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?

The tool has four optional parameters, no annotations, and no output schema, yet the description only gives a noun phrase. It omits expected behavior, return value, invocation semantics, and how the four parameters relate to the tool's purpose, making it 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?

Although the input schema provides 100% description coverage, those descriptions ('normalize or cite', 'validate; discarded after the check', 'IANA timezone name') describe different operations than a status-code catalog. The main description adds no mapping between the parameters and the stated purpose, so the agent cannot choose which parameter to populate.

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 repeats the tool name almost verbatim ('Short catalog of common HTTP status codes' vs 'status-catalog') and uses no verb to say what the tool does when called. It names a resource, but the input schema of url/host/json/zone is unrelated to status codes, so an agent cannot tell what operation this tool performs.

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

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

No guidance is provided about when to use this tool versus its siblings (citation, normalize-url, validate-json, timezone, etc.) or when not to use it. There are no exclusions, prerequisites, or examples.

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

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

There are no annotations, so the description must disclose behavioral traits on its own. It only says 'current time' and does not describe output format, timezone database behavior, error handling, or whether any side effects occur, leaving the agent with insufficient behavioral expectations.

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

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

The description is extremely short and front-loaded, with no filler or redundant content. However, it is closer to a noun phrase than a full sentence, and given the schema's four parameters it might have been structured to call out the relevant parameter.

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-looking parameters, no output schema, and no annotations, the description is incomplete. It does not specify which parameter is required for the tool's purpose, what the return value looks like, or how this tool relates to utc-time, tz-africa-cairo, or iana-zones among its siblings.

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

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

Schema parameter descriptions cover 100% of parameters, so the baseline is 3. The tool description adds meaning for the 'zone' parameter by linking it to 'named IANA timezone', but it does nothing to explain the presence of url, host, and json in the schema, which are unrelated to the stated purpose.

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

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

The description clearly identifies the resource (a named IANA timezone) and the value returned (current time). It is not phrased with a strong verb like 'Get', but the intent is unambiguous and the generic 'named IANA timezone' distinguishes it from sibling tools like utc-time or tz-africa-cairo.

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 explicit guidance is given for when to use this tool versus the sibling tools such as utc-time or tz-africa-cairo. The phrase 'named IANA timezone' weakly implies the user should supply a zone, but there is no clear instruction, alternative mention, or exclusion.

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

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

With no annotations, the description carries full behavioral burden, but it only states the output concept. It does not disclose whether the zone parameter overrides the fixed zone, what happens with the unrelated url/host/json parameters, or any side effects/read-only guarantee.

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

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

The description is a single focused sentence with no filler. It is front-loaded with the core purpose and earns its place, even though more detail could have been added elsewhere.

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 4 parameters, no output schema, and no annotations, yet the description explains neither invocation nor the role of the parameters. An agent cannot confidently know whether to pass 'zone', ignore the other fields, or what the response will contain.

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; the schema's generic field descriptions do not clearly explain how they relate to this tool.

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

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

The description clearly identifies the resource and scope: current local time for Africa/Cairo. It lacks an explicit verb like 'get' or 'return,' but the intent is unmistakable and the fixed-zone focus distinguishes it from generic time tools.

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

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

No guidance is given about when to use this tool versus siblings like 'timezone', 'utc-time', or 'iana-zones'. The usage is only implied by the tool name and description, with no explicit alternatives or exclusions.

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

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

With no annotations, the description carries the full burden of behavioral disclosure, but 'Current UTC timestamp' only states the result, not the behavior. It does not say whether the tool returns an ISO-8601 string, Unix time, or other format, nor does it mention whether the four input parameters are ignored, optional, or used in some way.

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

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

The description is one short phrase with no wasted words and the core message is front-loaded. It is concise to the point of being minimal, but it still communicates the essential resource, just without a verb.

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 does not cover return format, parameter relevance, or relationship to sibling timezone tools. Given the presence of four parameters and several closely related sibling tools, the description is too sparse to fully guide 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 even though the description adds no parameter information. However, the parameters url, host, json, and zone appear unrelated to 'Current UTC timestamp,' and the description does not clarify whether they are irrelevant to this tool or serve some conditional 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 identifies the resource as the current UTC timestamp, which is clear enough for an agent to understand the tool's output. However, it lacks an explicit verb such as 'returns' or 'gets,' and it does not explicitly differentiate itself from sibling tools like timezone or iana-zones.

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

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

No guidance is provided about when to use this tool versus alternatives. There is no mention of use cases, exclusions, or which sibling tools should be preferred for timezone-related or date-time conversion tasks.

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 usefully discloses that 'the body is discarded,' which is a meaningful behavioral trait not visible in the tool name. However, with no annotations and no output schema, it says nothing about the return value, error behavior, or what happens with invalid JSON, so the description only partially carries the behavioral disclosure burden.

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

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

Two short, front-loaded sentences with no filler. The purpose is stated first, followed by a useful behavioral caveat. Every sentence 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?

A 4-parameter tool with no required parameters, no annotations, and no output schema needs more than this. The description does not explain what 'body' refers to, what result the agent should expect, or how url/host/zone relate to validation, leaving an agent under-informed for 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. The schema descriptions for url, host, and zone appear unrelated to JSON validation, creating ambiguity that the description does not resolve.

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

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

The description states the core function clearly: 'Check whether a body is valid JSON' with a specific verb and resource. It is distinguishable from siblings like normalize, cite, and scrape, but it does not explicitly differentiate itself from any validation-related alternative, so it misses 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 on when to use this tool versus the sibling tools, nor any exclusions or contexts where a different tool would be preferable. An agent can only infer that it should be used for validating JSON, but the description does not spell this out.

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