America/Sao_Paulo clock

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

With no annotations, the description must disclose behavioral traits. It states 'Returns connection methods' and 'Task text discarded', which cover output and input handling, but it fails to mention whether the tool makes external network calls, any rate limits, or what 'connection methods' entails. It also introduces a concept ('task text') that doesn't map cleanly to any schema parameter, adding ambiguity rather than 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 sentence, which is concise and front-loaded with the main purpose. However, it sacrifices necessary information for brevity and includes an ambiguous phrase ('Task text discarded') that creates confusion. It's not overly verbose, but it doesn't earn its place fully because key details about usage and parameters are omitted.

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 9 optional parameters and no output schema, the description is inadequate. It doesn't explain how parameters map to the 'task' or what the agent should pass, nor does it detail the 'connection methods' returned. The absence of prerequisites, examples, or relationship to siblings leaves an agent guessing about correct invocation. Given the tool's meta-purpose, this is a significant gap.

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

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

Schema description coverage is 100%, so the baseline is 3, but the description actively confuses parameter semantics. It mentions 'Task text discarded' yet no parameter is named 'task'; the closest is 'query' (described as 'Search text; discarded after the length check'), which differs. The description doesn't clarify which parameter carries the task or how the gateway uses the others, so it detracts from rather than adds to schema meaning.

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 verb ('Find') and a resource ('public pay-per-call tool gateway'), and gives example task types (weather, search, scrape, voice). It conveys that the tool returns connection methods. While it doesn't explicitly contrast with siblings, the mention of 'gateway for a task' distinguishes it from the specific single-purpose tools in the sibling list.

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 use when a gateway is needed for a task, but it provides no explicit when-to-use or when-not-to-use guidance relative to the 27 sibling tools. It doesn't say 'use this instead of calling weather-hint directly' or describe scenarios where the gateway is preferred over a direct tool call. The phrase 'Task text discarded' hints at behavior but not selection criteria.

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

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

With no annotations provided, the description carries the full burden of disclosing behavior. It states that page content is not stored, which is a useful side-effect disclosure, but it omits other behaviors such as network calls, rate limits, or whether the operation is read-only. The transparency is minimal and does not cover the tool's full behavior, especially for the json and zone parameters.

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

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

The description is a single, efficient sentence that front-loads the main action. It avoids redundancy and is appropriately sized for a simple tool, though it is terse and omits important context. The structure is clean, but the brevity contributes to incompleteness.

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 severely incomplete for a tool with four optional parameters and no output schema or annotations. It does not explain the json and zone parameters, does not describe the return format beyond the three fields, and provides no usage context. An agent would not know how to correctly set the non-URL parameters or when to use this tool instead of 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?

The schema provides descriptions for all four parameters (100% coverage), so the baseline is 3, but the description does not add meaning beyond the schema. Critically, the description focuses solely on URL handling while ignoring the json and zone parameters, creating confusion about their purpose. It fails to connect these parameters to the tool's overall behavior, so it does not enhance understanding 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 specifies a clear verb and resource ('Return host, scheme, and HTTP status for a URL'), which is a concrete purpose. However, it does not distinguish this tool from siblings like normalize-url or status-catalog, and it ignores the json and zone parameters, making the full scope of the tool ambiguous. The purpose is only partially 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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention any exclusions or conditions, nor does it reference sibling tools. The only hint is 'Page content is not stored', which implies a lightweight check, but no explicit comparison or selection criteria is 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 must carry the full burden of behavioral disclosure. It only states 'No identifiers are retained,' which is a privacy note, but it fails to disclose whether the tool is read-only, what happens to the inputs (e.g., whether they are modified or discarded), whether authentication is needed, or what the response format looks like. This is a significant gap for a tool with no annotations.

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

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

The description is a single sentence with no wasted words, which is efficient. However, it is under-specified—it provides only a vague purpose and a privacy note, missing critical information. It is concise but not appropriately sized for the tool's complexity, so a middle score is warranted.

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

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

The tool has no output schema, no annotations, and four optional parameters. The description fails to explain what the classification output looks like, how to interpret results, or how the parameters relate to the classification. This is grossly inadequate for an agent to correctly invoke and interpret the tool's 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%, as each of the four parameters (url, host, json, zone) has a description in the schema. The tool description adds no additional meaning beyond the schema, but since the schema already documents the parameters, 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 states a verb ('Show') and an object ('how this request is classified'), but the purpose is vague. It does not specify what kind of classification is performed, what 'request' refers to, or how it relates to the tool's name 'compatibility'. There is no differentiation from sibling tools like validate-json or normalize-url, leaving the agent unsure of its exact function.

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

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

The description offers no guidance on when to use this tool versus alternatives. There is no mention of conditions, exclusions, or which sibling tools might be more appropriate for specific scenarios. The single sentence provides no context for selection.

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

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

No annotations are present, so the description must carry behavioral transparency. It only states what the tool does not include (WHOIS/ownership data) and does not disclose output, errors, side effects, or access considerations.

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 concise and front-loaded, but it lacks any structure to clarify parameter usage or expected results. The brevity is acceptable, but the content does not organize the information an agent needs.

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

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

With four optional parameters and no output schema, the description should explain how inputs map to the 'labels' output. It does not, and the unrelated parameter descriptions worsen the context gap.

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

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

Although every parameter has a schema description, the descriptions do not match the tool's stated purpose. 'json' and 'zone' are clearly copied from other tool contexts, making the parameter documentation actively misleading rather than helpful.

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 ('Split a hostname into labels') and distinguishes itself from WHOIS/ownership tools, but the parameter schema (url, json, zone) is largely unrelated to that purpose, creating confusion.

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 when-to-use or when-not-to-use guidance is provided. The phrase 'without WHOIS or ownership data' implies a boundary, but it does not direct the agent toward this tool in a clear decision-making 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 present, and the description does not disclose side effects, return values, or whether the tool is read-only, failing to inform the agent about its 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 short but poorly structured; it is a single vague phrase that lacks clarity and fails to convey essential information effectively.

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 severely incomplete; it does not explain how the tool operates, what inputs it expects, or what output it produces, making it impossible to use 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 description does not explain any of the four parameters (url, host, json, zone), and they appear unrelated to the stated purpose, leaving their roles completely ambiguous.

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 vaguely hints at providing common IANA timezone names for clock-related calls, but it does not clearly state the tool's exact function or distinguish it from sibling tools like timezone or tz-america-sao-paulo.

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

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

No guidance is given on when to use this tool versus alternatives, leaving the agent without decision criteria.

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

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

With no annotations, the description must fully disclose behavior, but it only states a fetch-and-count action. It does not mention error handling, rate limits, or what happens if robots.txt is missing. Moreover, the description directly contradicts the schema's validation/normalization semantics, making actual behavior opaque and untrustworthy.

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, concise sentence, which is structurally efficient. However, it is not front-loaded with the most critical information (it misleads about the tool's purpose), and the brevity sacrifices necessary context. It earns a middle score for conciseness without effectiveness.

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

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

For a tool with 4 parameters and no output schema, the description is extremely incomplete. It does not explain return format, error scenarios, or how the parameters are used. The robots.txt focus is unexplained given the schema's validation orientation, leaving an agent without the information needed to call 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?

The schema provides descriptions for all 4 parameters (100% coverage), giving a baseline of 3. However, the description adds no mapping of parameters to the robots.txt functionality; the parameters (url, host, json, zone) seem entirely unrelated to the described action. The description fails to clarify which parameter is the robots.txt URL and instead contradicts the schema's intent, so it adds no value.

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 ('Fetch a public robots.txt and return group counts only'), but it is fundamentally inconsistent with the tool's parameter schema, which describes URL normalization, host, JSON validation, and timezone parameters. This mismatch makes the purpose misleading rather than clear, as an agent cannot reconcile the described behavior with the actual inputs.

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 like normalize-url, validate-json, or timezone. There is no mention of alternatives, preconditions, or exclusions, leaving the agent without any routing context.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals that query and fragment are dropped and that the return includes origin, host, and path. However, it does not disclose what happens when other parameters (host, json, zone) are supplied, how invalid URLs are handled, or whether any side effects occur. The description only covers the URL path and omits the behavior for the other accepted inputs, which is a significant gap for a tool with zero 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 a single, tightly worded sentence that front-loads the main action and the key behavior (dropping query/fragment). There is no wasted prose, and it is easy to parse. However, it is so brief that it under-specifies the tool's full behavior, but for conciseness alone it scores well.

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 the tool has four parameters, no output schema, and no annotations, the description is incomplete. It explains only the URL normalization behavior, leaving the purpose of the other three parameters entirely unaddressed. There is no mention of return format, error cases, or interaction between parameters. An agent would likely be confused about when and how to use the additional inputs. The description needs to either document the extra parameters' roles or clarify that they are irrelevant for normalization, which is absent.

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?

While the schema covers all parameters with individual descriptions (100% coverage), the tool description adds no meaning beyond that. It does not explain how the 'url' parameter relates to 'host', 'json', or 'zone', nor does it clarify the intended use of these extra parameters. The schema descriptions themselves are terse ('HTTPS URL to normalize or cite', 'Public hostname', etc.) and don't address the semantic mismatch with the tool's stated purpose. The description fails to compensate for the confusing parameter set, so a baseline 3 is not justified.

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 the primary action: 'Return origin, host, and path for a URL' with the explicit behavioral note that query and fragment are dropped. This is a specific verb+resource and distinguishes it from sibling tools like timezone or validate-json, which have different purposes. However, the presence of three unrelated parameters (host, json, zone) in the schema creates ambiguity about whether the tool does more than URL normalization, so it isn't a perfect 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 does not explicitly state when to use this tool versus alternatives. The siblings (timezone, validate-json, etc.) are clearly different in purpose, so usage is implied rather than articulated. No exclusions or prerequisites are mentioned, leaving the agent to infer that this tool is for URL normalization only. A clear 'use this when you need to strip query/fragment from a URL' would improve it.

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 full burden of behavioral disclosure. It only states that it is a 'short catalog,' which implies read-only behavior but doesn't clarify whether it makes network requests, returns a static list, or processes inputs. The parameter set (url, host, json, zone) suggests behavior completely different from what the description implies, adding confusion rather than 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 sentence, which is concise, but it is under-specified and provides no structured overview. It doesn't front-load critical information about the tool's operation, and its vagueness outweighs any benefit of 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?

For a tool with four parameters and no output schema, this description is grossly insufficient. It doesn't explain what the tool returns, how the parameters are used, or any example usage. The inconsistency with sibling tools (e.g., normalize-url, validate-json, timezone) further compounds the incompleteness, as an agent cannot infer the intended functionality.

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

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

Although schema description coverage is 100%, each parameter's description (e.g., 'HTTPS URL to normalize or cite', 'JSON text to validate; discarded after the check') is generic and unrelated to HTTP status codes. The tool description does not connect these parameters to its stated purpose, so it adds no meaning beyond the schema. The mismatch between parameters and purpose warrants a score below the baseline of 3.

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 claims the tool is a 'catalog of common HTTP status codes,' but the input schema requires url, host, json, and zone parameters that have no evident relation to HTTP status codes. This creates a fundamental mismatch, making the purpose unclear and potentially misleading. No verb or resource is specified, and it fails to distinguish from siblings 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 guidance on when to use this tool versus alternatives. The description offers no scenarios, prerequisites, or exclusions, leaving an agent without any basis for selecting it over similar tools.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It states the tool returns current time but does not explain whether it includes DST adjustments, timezone offset, or format of the response. It also does not clarify why unrelated parameters like url, host, and json are present, which could confuse an agent about the tool's actual 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—a single sentence—which is structurally clean. However, it is under-specified: it omits critical details about parameters and output, making it more under-specification than appropriate conciseness. The brevity is not harmful in itself, but it sacrifices necessary context.

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

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

For a tool with 4 parameters, no output schema, and no annotations, the description is incomplete. It does not specify the output format (e.g., ISO string, epoch), any error handling, or why unrelated parameters exist. An agent would struggle to call this tool correctly without additional inference. The description falls short of what is needed for safe and accurate 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?

Although the schema describes all four parameters (100% coverage), the tool description only implies the 'zone' parameter via 'named IANA timezone'. It does not explain the purpose of url, host, or json, leaving ambiguity about whether they are optional, ignored, or have side effects. The description adds no value beyond the schema and fails to clarify the parameter set's coherence.

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 the tool provides the current time for a named IANA timezone. It distinguishes itself from siblings like 'iana-zones' (which lists zones) and 'utc-time' (which is a specific zone), though it doesn't explicitly name them. The verb 'Current time' and resource 'named IANA timezone' are specific, making the primary 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?

There is no guidance on when to use this tool versus alternatives. The description does not mention when to prefer this over 'utc-time' or 'iana-zones', nor does it explain the role of the other schema properties (url, host, json). It provides no context for selection among siblings.

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 burden of behavior disclosure. It does indicate a read-only time retrieval and implies no side effects, but it does not state whether DST is handled, whether the result is formatted, or that no modifications occur.

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 short sentence with no fluff or redundancy. It is well structured and immediately conveys the core purpose, though it omits necessary details covered in other dimensions.

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

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

Given the presence of four unrelated-looking parameters and no output schema, the description is not sufficiently complete for an agent to know what to pass or what will be returned. The mismatch between the description and the parameter schema creates significant ambiguity.

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 contains four parameters, but only 'zone' has a description relevant to timezone lookup. The descriptions for 'url,' 'host,' and 'json' are unrelated to the stated purpose and appear to be copied from other tools, which is misleading. The tool description does not clarify which parameters are actually used or ignored.

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

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

The description clearly identifies the resource (America/Sao_Paulo) and the implied action (returning current local time), which distinguishes it from sibling tools like timezone and utc-time. However, it lacks an explicit verb such as 'gets' or 'returns,' so it is slightly less direct than ideal.

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 when the current local time in America/Sao_Paulo is needed, but it gives no explicit guidance on when to choose this tool over the generic timezone or utc-time tools. No alternative conditions or exclusions are mentioned.

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 only says 'Current UTC timestamp,' which is minimal. It does not disclose whether parameters are ignored, whether the tool is read-only, or what the response structure looks like. This is a significant gap for a tool with a mismatched schema.

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

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

The description is a single, short sentence with no filler. It is efficient and front-loaded, but the brevity sacrifices necessary context.

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

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

For a simple tool, the description might suffice if the schema were aligned, but here the schema introduces four unrelated optional parameters with no explanation. The tool lacks an output schema, and the description does not clarify return values or parameter usage, making it incomplete for an agent to call it confidently.

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

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

Although the schema provides descriptions for each parameter, the tool description does not connect them to the tool's purpose. The parameters (url, host, json, zone) appear irrelevant to fetching a UTC timestamp, and the description offers no explanation for their presence, leaving the agent confused about how to invoke the tool correctly.

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 tool returns the current UTC timestamp, which is a clear verb+resource. However, it is vague about the output format (e.g., ISO string, Unix epoch) and does not explain why the input schema contains four unrelated parameters (url, host, json, zone). This ambiguity prevents full clarity.

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

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

No guidance is provided on when to use this tool versus siblings like timezone, iana-zones, or tz-america-sao-paulo. The description does not mention that this is for fetching current UTC time as opposed to conversions or zone lookups, leaving the agent to infer usage.

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 only disclosed behavior is that the body is discarded. With no annotations, the description does not clarify whether the tool fetches a URL, validates a provided json string, or what side effects or network operations occur.

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 brief and free of fluff, using two short sentences. It is appropriately sized, though the brevity contributes to ambiguity.

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 omits the return format, which parameters are relevant, and the meaning of 'body' in context. Given the optional parameters and no output schema, this is not enough for an agent to use the tool confidently.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no further meaning to the parameters, and some schema descriptions (e.g., url as 'HTTPS URL to normalize or cite') seem copied from other tools and do not clarify validation.

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

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

The description states a clear action—check whether a body is valid JSON—but 'body' is ambiguous and does not explicitly connect to the url, host, or json parameters. It does not fully distinguish this tool from related URL-focused 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?

No guidance is provided about when to use this tool versus siblings like normalize-url, citation, or inspect-robots. There is no indication of prerequisites or appropriate contexts.

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