Timezone Clock

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

The 'Page content is not stored' disclosure is a genuine behavioral trait and the explicit output list helps. With no annotations, though, the description carries the full burden; it does not disclose whether the URL is actually fetched, what happens on invalid URLs, or that the tool also validates JSON and resolves timezones. No contradiction exists.

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, front-loaded with the main behavior and followed by a one-sentence privacy clarification. Every word adds information; no padding.

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

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

For a tool with four optional parameters, no annotations, and no output schema, this description leaves major gaps: the json and zone operations are entirely unmentioned, return shape and error behavior are absent, and the relationship between the four parameters is unclear. An agent cannot confidently invoke it for JSON or timezone work.

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

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

Schema description coverage is 100%, so each parameter already has a description. The tool-level description adds no parameter-level meaning and fails to explain that url, host, json, and zone are all optional or how they relate; the baseline of 3 applies because the description neither helps nor hurts beyond 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 description uses a concrete verb-resource pair: 'Return host, scheme, and HTTP status for a URL,' which makes the core URL-checking action identifiable. The 'Page content is not stored' clause adds a distinguishing feature. However, the tool name 'citation' is misleading and the description ignores the json and zone parameters present in the schema, so the stated purpose is only partial.

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 when-to-use or when-not-to-use guidance, no mention of alternatives, and no prerequisites (e.g., whether a reachable HTTPS URL is required). The only implicit hint is the non-storage note, which weakly implies it is safe for lightweight checks, but it does not help an agent choose between this and the sibling URL/timezone/JSON 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, yet it only reveals that identifiers are not retained. It doesn't state whether the tool is read-only, whether it validates inputs, what side effects occur, or whether any external calls are made. The non-retention statement is useful but insufficient for a tool with no annotation coverage.

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

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

The description is only two sentences with no redundant filler. The main action is front-loaded, and the privacy note adds a distinct piece of information. It is concise and well-structured, even though the content is vague.

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 output schema, and no annotations, so the description must carry the burden of explaining what the request is and what the agent should do with the result. It doesn't define 'classified', describe return values, or clarify how the parameters (url, host, json, zone) relate to the classification. This is critically incomplete for an agent to invoke the tool correctly and interpret its response.

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

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

Schema description coverage is 100%, so each parameter has a clear description in the schema. The tool description itself adds no parameter-level meaning beyond saying 'this request', but because the schema already documents all four parameters, the baseline of 3 applies. There's no additional semantic value from the description, but none is required given full 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 says 'Show how this request is classified', which gives a verb and an object, but 'classified' is vague and never tied to the tool name 'compatibility' or to any concrete classification scheme. It doesn't specify what categories or dimensions are used, leaving an agent unsure what the tool actually returns or why it exists. This is more than a tautology but still fails to articulate a clear, distinctive purpose.

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

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

The description provides no guidance on when to use this tool versus the siblings (citation, validate-json, normalize-url, etc.). It doesn't mention any conditions, exclusions, or alternative tools. The privacy statement 'No identifiers are retained' is about data handling, not usage context.

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

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

No annotations are provided, so the description carries the full burden. It discloses that the tool does not fetch WHOIS or ownership data, which is useful, but it does not describe what happens with url, json, or zone, nor what the output looks like. The mismatch between the described purpose and the parameter set weakens transparency.

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 fluff and the core behavior is front-loaded. However, it could earn a 5 by briefly clarifying which parameters apply and what the string-shaping operation produces.

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

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

With four optional parameters, no annotations, no output schema, and a description that only covers one of several apparent capabilities, the tool is under-specified. An agent cannot confidently determine the role of json and zone, the expected return structure, or whether url and host are interchangeable.

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

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

Schema coverage is 100%, so the baseline is 3, but the description does not connect the hostname-splitting behavior to the relevant parameters. Worse, json and zone are described for unrelated purposes, and the description gives no clue why they belong in this tool. The schema descriptions are individually clear, but the overall parameter semantics for domain-shape are confusing.

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

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

The description states a specific operation: splitting a hostname into labels, and adds a clear exclusion (no WHOIS/ownership data). This distinguishes it from ownership-related domain tools, though it does not explicitly mention the unrelated json and zone parameters, which introduces some ambiguity.

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

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

The description gives no guidance on when to use this tool versus siblings, and does not explain which of the four optional parameters is appropriate for the hostname-splitting operation. The 'without WHOIS or ownership data' clause offers a mild scope hint but no actionable 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, the description carries the full burden of explaining behavior and side effects. It only states what the tool is about, not what happens when invoked, which parameters to supply, or whether the operation is read-only.

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 phrase is concise and front-loaded, containing no filler. However, it is so terse that it under-specifies the tool's function, so the brevity is not backed by adequate content.

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

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

There is no output schema, no annotations, and four optional parameters with no usage guidance, yet the description does not explain what to pass or what the tool returns. This is severely incomplete for an agent to select and invoke the tool correctly.

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

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

The input schema already documents all four parameters at 100% coverage, so the baseline is 3. The phrase 'IANA timezone names' aligns with the zone parameter, but the description does not clarify which of the four optional parameters apply to this tool or how they interact.

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 ('Common IANA timezone names') and narrows its purpose to 'clock calls', so an agent can guess it is a catalog of zones. However, it lacks an action verb such as 'lists', 'returns', or 'looks up', leaving the actual operation 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?

'for clock calls' hints that this tool should be used in combination with time utilities, but it never states when to call it versus the sibling tools timezone, utc-time, or status-catalog. No alternatives, exclusions, or prerequisites are given.

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 behavioral burden. It clearly states the output is limited to group counts, but it does not describe error behavior, absence of robots.txt, redirects, network assumptions, or the fact that several input-schema fields (json, zone) appear unrelated to the stated behavior.

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

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

The description is a single, front-loaded sentence with no filler. It efficiently communicates the core action and output constraint.

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 for confident invocation: there are four optional parameters with no guidance about which one(s) to supply for a robots.txt fetch, no output schema, and no clarification of what 'group counts' means or how the unrelated-looking parameters relate. An agent would struggle to know whether to pass url, host, json, or zone.

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 beyond the schema, and the schema's own parameter descriptions (e.g., 'JSON text to validate', 'IANA timezone name') seem mismatched with the 'robots.txt' purpose, but the description does not clarify this mismatch.

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 ('Fetch'), a concrete resource ('public robots.txt'), and a precise output scope ('return group counts only'). This clearly distinguishes the tool from its siblings, which are focused on citations, zones, validation, and URL normalization.

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 the tool should be used when someone needs robots.txt group counts, but it does not explicitly state when to use it versus alternatives. There are no exclusions, prerequisites, or mentions of sibling tools like domain-shape or validate-json.

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 behavioral disclosure burden. It does disclose one key behavior: query and fragment are dropped. However, it does not mention error behavior, normalization specifics, or whether the unrelated host/json/zone parameters are ignored.

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

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

Two short sentences deliver the essential information with no filler. The core behavior and the dropped components are front-loaded.

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

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

For a simple read-only tool this is mostly adequate, but the lack of an output schema means the description should more precisely define 'origin' and 'path' and address invalid or non-HTTPS URLs. The presence of unrelated optional parameters also creates ambiguity that is left 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 baseline is 3 and the schema already documents each parameter. The description adds no parameter-level meaning beyond the url param, and it does not explain why json, host, or zone appear in the schema.

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

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

The description states a specific verb ('Return'), a specific resource ('a URL'), and the exact outputs ('origin, host, and path'). It also clarifies that query and fragment are dropped, which distinguishes it from URL-related siblings like domain-shape or citation.

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 instead of a sibling, and names no alternatives or exclusions. An agent must infer the use case from the tool name and output 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?

With no annotations, the description carries the full burden of behavioral disclosure but provides none. It fails to state what happens to the inputs, whether the tool performs validation, normalization, or citation, or what side effects occur. The only behavioral hint ('discarded after the check') lives in the schema, not 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 one short sentence, which is concise, but the sentence is a label rather than substantive guidance. It earns a middling score because brevity is achieved at the expense of meaningful 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 4 heterogeneous parameters, no annotations, and no output schema, the description is severely inadequate. An agent cannot determine what the tool does, what to pass, or what to expect in return. The schema provides parameter names but cannot compensate for the missing purpose.

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 fully documents each parameter. The description adds no parameter-level meaning, which meets the baseline, but it misses the opportunity to explain how these heterogeneous parameters relate to the tool's supposed catalog 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 'Short catalog of common HTTP status codes' is a vague label, not a verb+resource action. The four parameters (url, host, json, zone) are unrelated to HTTP status codes, making the described purpose misleading and failing to distinguish the tool from siblings like citation and compatibility.

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

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

No guidance is provided on when to use this tool versus alternatives. The description does not clarify what a user would do with a URL, host, JSON, or timezone in the context of a status-catalog, and no exclusions or alternative tool references are given.

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 transparency burden. It clearly implies a read-only, stateless operation by saying 'current time,' but it does not disclose invalid-zone behavior or the output format, leaving moderate gaps.

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 zero wasted words. It states the resource and scope immediately and 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?

The tool is a low-complexity stateless lookup, and the schema identifies the zone parameter. However, there is no output schema, no annotation, and no description of return format or error handling, so the definition is functional but not fully complete.

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

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

Schema coverage is 100%, so the baseline is 3. The description's 'IANA timezone' phrasing merely restates the zone parameter's schema description and does not clarify that url, host, and json are likely irrelevant, but it does not contradict the schema either.

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: return the current time for a named IANA timezone. It is distinctive enough to separate it from sibling tools like validate, normalize, and citation, though it lacks an explicit verb such as 'get' or 'return'.

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, no exclusions, and no mention of alternatives. For a simple tool this may be acceptable, but the description offers no usage context beyond the bare operation.

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

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

No annotations are present, so the description alone must disclose behavior. It announces the output but says nothing about how parameters are treated, what timestamp format is returned, or whether timezone conversion is supported.

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

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

One short sentence with no filler; the purpose is front-loaded. The terseness, however, leaves the parameter mismatch unaddressed.

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 unrelated-looking parameters, no annotations, and no output schema, a four-word description is insufficient. An agent cannot tell whether zone affects the result or whether url, host, and json are simply ignored.

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 the baseline at 3, and the description adds no parameter-level insight. Url, host, and json appear unrelated to a UTC time lookup, so the description does not help an agent decide what to pass.

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, specific purpose: the tool returns the current UTC timestamp. It does not, however, distinguish itself from its siblings, and the stated purpose sits awkwardly against an input schema listing url, host, json, and zone.

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 invoke utc-time versus the sibling tools, no exclusions, and no note about whether the four input parameters are ignored, optional conveniences, or needed for the lookup.

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

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

With no annotations, the description must carry safety/behavior information; it does usefully disclose that the body is discarded, implying no persistence or side effects. It does not describe error behavior or return shape, but for a pure validation check the discard statement provides meaningful transparency.

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

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

Two short sentences, with the core action and the key side-effect statement front-loaded; no unnecessary 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?

For a simple validator, the description is minimally sufficient and the discard behavior is a useful extra. However, with no output schema or annotations, it does not state what the tool returns/raises on valid vs invalid JSON, and it leaves unclear whether url/host/zone parameters have any role.

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

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

Schema coverage is 100%, so the four parameters are already described in the input schema; the description adds no new parameter-level meaning. The json parameter's schema description ('JSON text to validate; discarded after the check') actually carries most of the semantic weight.

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 opening sentence names a specific verb ('check') and resource ('whether a body is valid JSON'), so an agent can tell this is a JSON-validation utility and not one of the URL/timezone sibling tools. It doesn't explicitly map 'body' to the json parameter, but the purpose is unmistakable.

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 validate-json or how it differs from sibling tools. The description implies a simple validation use case but states no context, prerequisites, or exclusions.

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