Europe/Minsk clock

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

No annotations exist, so the description must fully disclose behavior. It only states a negative fact (no browser launched) but does not explain what it actually does (e.g., HTTP request, syntax check), any side effects, authentication needs, or return format.

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

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

Two short sentences, each carrying useful information. It is appropriately concise and free of fluff, though the brevity borders on under-specification given the tool's complexity.

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 9 optional parameters and no output schema, the description is far from complete. It does not indicate which parameter is the URL, what the tool returns, or any usage conditions. An agent would struggle to invoke it correctly.

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

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

Schema description coverage is 100%, so parameters are already documented. The tool description adds no parameter-specific meaning beyond what the schema provides, meeting the baseline for high 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?

States a specific verb 'check' and resource 'URL', and clarifies 'No browser is launched'. However, 'can be opened' is ambiguous (syntactic validity vs network reachability) and it does not differentiate from sibling tools like fetch-status, normalize-url, or playwright-url-ok.

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?

Provides no guidance on when to use this tool versus alternatives. It does not mention exclusions, prerequisites, or any context that would help an agent choose it over 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?

The description states 'No identifiers are retained,' which is a privacy trait, but it does not disclose other behavioral aspects such as whether the operation is read-only, side effects, auth requirements, or rate limits. With no annotations provided, the description carries the full burden and only partially covers it.

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

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

The description is two short sentences with no wasted words, but it is under-specified. It is concise but not appropriately sized for a tool with nine heterogeneous parameters and no annotations or output schema. The brevity detracts from usefulness.

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 nine parameters, no output schema, and no annotations, the description is grossly incomplete. It does not explain what classification is returned, what the output looks like, how to interpret results, or any error behavior. An agent cannot correctly invoke or use this tool based on the description alone.

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 mention any of the nine parameters or how they relate to classification. The input schema has 100% coverage with detailed per-parameter notes (e.g., 'discarded after the shape check'), but the tool description adds no meaning beyond the schema. It misses the opportunity to explain how parameters collectively drive the classification.

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' but does not specify what classification means, what categories are used, or what input/output relationship exists. It is vague and does not differentiate from sibling tools like domain-shape or github-repo-shape, which are specific shape-checkers.

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. It does not mention any conditions, prerequisites, or exclusions. The agent receives no direction on selection.

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

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

No annotations are provided, so the description carries the full burden. It mentions 'without WHOIS or ownership data,' which implies a local, non-network operation, but it does not explain side effects, data handling (many fields are 'discarded after the check'), or potential limitations. The description is too thin to establish a clear behavioral contract.

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 action. However, it is under-specified for a tool with nine parameters, and the structure does not help an agent understand the tool's scope. It is not verbose, but the brevity comes at the cost of completeness.

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 nine parameters, none required, and no output schema. The description only covers hostname splitting, which matches maybe one parameter (host). It is completely inadequate for an agent to understand what to do with url, city, feed, json, path, zone, query, etc. The description gives almost no context for the tool's actual behavior across its parameter set.

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%, with each of the 9 parameters already documented (e.g., 'Git ref name; discarded after the shape check'). The tool description adds no extra meaning beyond the schema, but it doesn't need to because the schema is self-explanatory. The baseline of 3 applies since the schema does the heavy lifting.

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

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

The description states a specific action (split a hostname into labels) and a limitation (without WHOIS/ownership data), but it is misleading because the input schema accepts nine different kinds of inputs (url, city, feed, json, path, zone, query, etc.) that have nothing to do with hostname splitting. It fails to differentiate from sibling tools like figma-url-shape or github-repo-shape, which likely have similar shape-check purposes. The purpose is too narrow relative to the schema.

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 many siblings (normalize-url, figma-url-shape, github-repo-shape, jira-key-shape, etc.). The description gives no context for choosing it, no exclusions, and no alternative suggestions. An agent has to infer from the schema, which is ambiguous.

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

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

No annotations are provided, so the description must carry the behavioral burden. It only says 'fetch', implying network access, but does not disclose failure modes (e.g., what happens if robots.txt is missing or the URL is invalid), rate limits, or that many parameters are discarded after validation. The schema descriptions mention discarding, but the tool description itself omits this context.

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 efficient. However, it is under-specified for a tool with 9 parameters and no annotations or output schema. The brevity does not compensate for the lack of critical usage information, so it does not fully earn 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?

Given the tool's complexity (9 parameters, no annotations, no output schema, no sibling differentiation), the description is incomplete. It does not explain which parameter is used for the fetch, what 'group counts' means (e.g., user-agent groups), or any expected return format. An agent would struggle to invoke this tool correctly.

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

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

Schema description coverage is 100%, so all parameters have textual descriptions in the schema itself, which sets a baseline of 3. The tool description adds no additional meaning about parameter usage, and it fails to indicate which parameter is the primary input for the fetch operation, leaving that to be inferred from 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 clearly states the action (fetch) and resource (public robots.txt), and specifies the output (group counts only). This differentiates it from generic fetch tools like web-fetch or fetch-status, which would fetch arbitrary pages. However, it does not identify which of the 9 parameters is used to specify the robots.txt URL, leaving the agent to guess between 'url', 'host', or 'feed'.

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 such as web-fetch, fetch-status, or domain-shape. The description does not mention any conditions or exclusions, so an agent has no basis for choosing this tool over its 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 provided, the description carries the full burden of behavioral disclosure. It discloses that query and fragment are dropped and that origin, host, and path are returned, but it does not disclose how the other eight schema parameters are handled (e.g., discarded, ignored, or used as alternatives). This is a significant transparency gap for a tool with a large, unexplained parameter set.

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 that clearly states the primary behavior. It is concise and easy to read. However, given the complexity of the schema (nine parameters), this brevity borders on under-specification, as the description omits all context about the extra parameters.

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 nine optional parameters and no output schema, the description is far from complete. It does not explain the role of the majority of parameters, nor does it state whether they are ignored, mutually exclusive, or secondary inputs. An agent cannot confidently know what to pass or expect, especially since the description only covers URL normalization while the schema suggests broader 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?

The schema has 100% description coverage, so each parameter has a basic description. However, the tool description adds no semantic value beyond that: it does not explain how 'ref', 'city', 'feed', 'json', 'path', 'zone', or 'query' relate to URL normalization, nor does it clarify whether 'host' is an alternative to 'url'. The description fails to bridge the gap between the stated purpose and the actual 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 action (return origin, host, path) and the resource (a URL), and distinguishes from siblings like browser-url-ok or figma-url-shape by focusing on normalization. However, the input schema contains nine parameters, many unrelated to URL normalization (e.g., ref, city, json, zone), which blurs the tool's actual scope and creates ambiguity about what it really does.

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

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

The description gives no guidance on when to use this tool versus alternatives, no exclusions, and no context about when the extra parameters apply. An agent is left to infer that only 'url' matters, but the schema suggests other inputs might be used, so there is no clear selection logic.

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 the query is discarded, which is useful, but it says nothing about the other eight parameters in the schema. The description implies the tool only concerns itself with the query parameter, yet the schema includes unrelated fields like 'url', 'city', and 'json'. This mismatch is not explained, and the absence of any disclosure about side effects, return values, or the handling of non-query inputs leaves the agent under-informed.

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 short sentences with no filler. It front-loads the primary purpose and includes a key behavioral note about discarding the query. This efficiency is appropriate for a simple tool, though the brevity borders on under-specification given the schema's complexity. Still, for what it says, it is well-structured and easy to parse.

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

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

For a tool with nine parameters, no annotations, and no output schema, the description is grossly incomplete. It does not explain what the tool returns (e.g., the character count, its type, or format), nor does it clarify the role of the many non-query parameters. The presence of seemingly unrelated parameters (ref, url, city, etc.) without any explanation of how they interact with the query length check creates significant ambiguity. An agent cannot reliably determine correct invocation or interpret results based on this description.

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 every parameter is already documented in the schema. The description adds minimal semantic value: it reinforces that the 'query' parameter is the focus, but the schema already describes it as 'Search text; discarded after the length check', which is nearly identical. No additional meaning is provided for the other parameters, so the description does not meaningfully enhance parameter 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 clearly states the core action: counting characters in a search query. It identifies a specific verb ('count') and resource ('search query'), which distinguishes it from unrelated tools. However, it does not explicitly differentiate from sibling count tools like 'memory-key-count' or 'hn-front-count', and the mention of 'search query' is ambiguous given the schema contains nine parameters, leaving room for confusion about what exactly is counted.

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. There is no mention of preferred scenarios, exclusions, or comparisons to sibling tools. The context signals indicate a large sibling set with similar counting tools, but the description offers no routing help, leaving the agent to infer usage from the name alone.

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, but it only says 'Short catalog'. It does not disclose what the tool returns, whether it performs network requests, whether it mutates anything, or how the parameters are used. The single sentence is far from sufficient for an unannotated tool.

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

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

The description is concise (one sentence), but it is under-specified rather than efficiently written. It front-loads no useful information and fails to earn its place because it is misleading about the tool's actual behavior.

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 nine parameters, no output schema, and no annotations, the description is drastically incomplete. It does not explain the purpose of each parameter, how to select among them, or what the tool returns. An agent cannot reliably call this tool correctly based on the provided definition.

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 100% coverage with clear descriptions for each parameter, so the baseline is 3. However, the description adds nothing about how these parameters connect to the stated purpose, and the optional nature of all parameters is unexplained. An agent cannot infer which parameter to supply to get a status code. This gap lowers the score.

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 purpose ('catalog of common HTTP status codes'), but it does not explain how the nine parameters relate to that purpose. The parameters cover URLs, JSON, timezones, file paths, etc., which appear unrelated to HTTP status codes. This is confusing and leaves the agent unable to determine what input is actually needed to get a status code.

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 many siblings (e.g., fetch-status, browser-url-ok, normalize-url). No context, no exclusions, no examples. The description gives zero information about invocation scenarios.

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 disclose behavioral traits. It only says 'Prompt discarded,' which is ambiguous and does not state that the tool ignores all parameter values (as each schema property notes 'discarded after the shape check'). The tool's static-template behavior is not communicated, leaving the agent unaware that its inputs have no effect.

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, but it is under-specified rather than efficiently concise. It omits critical information about the tool's behavior and parameter handling, so brevity comes at the cost of usefulness.

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 9 parameters and no output schema, the description is far from complete. It does not explain the purpose of the parameters, the nature of the template, or the tool's actual operation (validating shape then returning a static result). An agent would lack enough context to use it correctly beyond blind trust.

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%, and each parameter already has a description noting it is discarded after a shape check. The description adds no parameter-specific meaning, so the baseline of 3 is appropriate; it neither helps nor hinders 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 states a specific verb ('Return') and a concrete resource ('a three-step thinking template'), so an agent knows what the tool produces. However, it does not distinguish this from sibling tools like 'calc-eval' or 'status-catalog' that also return fixed outputs, and it does not explain what the template is for.

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 alternative. The only contextual hint, 'Prompt discarded,' is about behavior rather than selection criteria, and no sibling tool is mentioned. An agent cannot decide when to invoke this tool over another.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'current time' without mentioning handling of DST, timezone conversion specifics, return format, or error conditions. This is a minimal disclosure for a tool that returns time data.

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 clear sentence with no filler. It is front-loaded and gets straight to the point. It is appropriately concise for a simple tool, though it could be slightly more structured by indicating the key 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?

The tool has no output schema, and the description does not specify what the response looks like (e.g., time format, timezone abbreviation). Additionally, with 9 parameters where only one is relevant, the description should clarify that only 'zone' is used. The lack of such clarification makes it incomplete for an agent to call correctly.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no parameter-level meaning beyond the schema. However, the schema includes 9 parameters, many irrelevant (ref, url, city, feed, etc.), and the description does not clarify that only 'zone' is meaningful, which slightly reduces the value. Still, the schema itself documents all parameters adequately.

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 function: 'Current time in a named IANA timezone.' It specifies a verb (current time) and resource (named IANA timezone). It is distinct from siblings like utc-time and iana-zones, though it doesn't explicitly differentiate itself from them, so it misses the full 5.

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

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

No guidance on when to use this tool versus alternatives such as utc-time or tz-europe-minsk. There is no mention of conditions, prerequisites, or exclusions. An agent has no basis to choose this tool over its 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the core function without revealing what the output looks like (e.g., format, timezone offset, DST handling), whether it is read-only (implicitly yes but not stated), or any side effects. The description adds no context beyond the basic purpose.

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 is efficient and directly states the function. While extremely brief, it is appropriately sized for a simple lookup tool, though it sacrifices explanatory value for 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?

With 9 parameters, no output schema, and no annotations, the description is too sparse to be complete. It does not specify the return value format, how to invoke the tool (all params optional, but none explained in relation to time), or any usage context. An agent would lack critical information to use the tool correctly beyond guessing the obvious.

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 per-parameter descriptions, so the schema already documents all 9 optional parameters. The description adds no parameter-specific meaning; it does not explain how any of these parameters relate to the tool's time-query purpose. Baseline 3 is appropriate given high schema coverage.

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

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

The description states the core function clearly: 'Current local time in Europe/Minsk.' It identifies a specific timezone and the action (returning local time). However, it does not explicitly distinguish itself from sibling tools like 'timezone' or 'utc-time', leaving the agent to infer that this is the Minsk-specific variant.

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 mention that this is the preferred tool for Minsk time, nor does it note any exclusions or conditions. An agent would have to rely on the tool name alone to choose 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 carries the full burden of behavioral disclosure, and it fails to explain why the tool accepts nine parameters that appear unrelated to UTC time. The parameter descriptions hint that values are 'discarded' or checked only for shape, which is a form of transparency buried in the schema, but the main description does not disclose that the parameters are effectively decoys or that the tool ignores them. An agent cannot tell whether the parameters affect the result.

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 wasted words. It is appropriately short for a trivial read tool, though the brevity clashes with the confusing parameter list, making the conciseness feel like underspecification rather than efficiency.

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 the trivial surface purpose, this tool is contextually incomplete. It declares nine optional parameters that bear no obvious relation to UTC time, offers no output schema, and provides no explanation of whether or how those parameters influence the result. An agent has no way to decide what, if anything, to pass, or what the tool actually returns beyond a timestamp.

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 parameter descriptions in the schema are self-consistent ('discarded after the shape check', 'no disk access'), but the main description adds nothing about how parameters relate to the output. The descriptions are complete as far as they go, but they describe parameters that are semantically disconnected from the tool's stated purpose, leaving the agent uncertain whether passing them is meaningful.

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?

'Current UTC timestamp' states a specific verb and resource, and reads as a trivial read operation. However, the nine unrelated parameters (JSON validation, file paths, RSS feeds, weather hints) strongly muddy the actual purpose, and the description does not differentiate it from sibling tools like timezone and tz-europe-minsk.

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 zero guidance on when to use this tool versus its siblings. Given the sibling set includes timezone and tz-europe-minsk, an agent is left to guess when utc-time is the right choice and what any of the nine parameters are for. No alternatives are named and no exclusions are stated.

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 disclose behavior but only states the output. It does not mention whether it makes external network calls, rate limits, error conditions, or that most parameters are discarded. The schema hints at a test-like nature, but the description fails to clarify.

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, which is concise, but it omits crucial information about the multi-purpose schema. It is under-specified rather than efficiently comprehensive, so a 3 reflects the trade-off.

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 parameters and no output schema, the description is highly incomplete. It does not explain the return format, when to use which parameter, or how the weather hint relates to the other parameters. An agent would be confused about what to provide.

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 detailed descriptions for each parameter, so the baseline is 3. The tool description adds no additional meaning for parameters beyond the schema, and the city parameter is the only one referenced. Given the schema already provides clear semantics, 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 clear purpose: returning current temperature for a city via Open-Meteo. However, the input schema includes 9 unrelated parameters (ref, url, feed, host, json, path, zone, query) with descriptions suggesting other functions, creating a mismatch. This ambiguity reduces clarity about what the tool actually does.

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 like geo-hint or web-fetch. The description does not mention exclusions, prerequisites, or typical use cases, leaving the agent without direction.

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 only notes 'Body discarded' for the URL response, but says nothing about network access, side effects, error handling, rate limits, or what happens with the other eight parameters. The described behavior is too narrow relative to the actual tool capabilities.

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 (two sentences) and front-loads the URL purpose, but it omits almost all functional scope. It is under-specified rather than efficiently concise; it fails to earn its place because it doesn't convey the tool's actual behavior across nine parameters.

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 nine optional parameters, no output schema, and no annotations, the description is severely incomplete. It only explains a fraction of the tool's functionality and leaves an agent without any indication of what the tool does with most of its inputs, making it impossible to call correctly.

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

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

Schema description coverage is 100%, so each parameter already has a textual description in the schema. The tool description adds no extra semantic information about parameters. Per the rubric, high coverage warrants a baseline of 3, and the description doesn't deviate from that.

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 purpose: 'HTTP status and content type for a public URL.' However, the input schema accepts nine different parameters (url, city, feed, json, path, zone, query, etc.), each implying a distinct check. The description covers only the URL case and gives no hint about the tool's actual multi-purpose nature, making it misleading about scope.

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 zero guidance on when to use this tool versus the many siblings (fetch-status, normalize-url, browser-url-ok, etc.). No conditions, no exclusions, no mention of alternatives. An agent has no basis to select web-fetch over another tool.

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