Asia/Tbilisi clock

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

With no annotations, the description carries the burden; it does disclose some behaviors: it 'Returns connection methods', discards task text, and parameter notes say 'no disk access' and 'discarded after the check'. However, it does not explain what 'connection methods' are, whether calls cost money, or what side effects 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 short and mostly front-loaded, but the contradictory 'Task text discarded' sentence undermines the structure. It is concise but not clearly organized.

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

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

For a tool with no output schema and no annotations, the description leaves key context missing: the required task input (if any), the format of the returned connection methods, pricing implications, and the relationship to sibling tools. It cannot be used 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?

Every parameter has a description (100% coverage), so the baseline is 3, but the descriptions are incoherent in context: they describe discarded inputs, unrelated concepts (Git refs, RSS titles, timezones), and 'normalize or cite' alternatives. They do not explain how any parameter maps to the tool's stated purpose of finding a gateway.

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

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

The description states a verb and object ('Find a public pay-per-call tool gateway') and lists example tasks, but the phrase 'Task text discarded' contradicts the stated purpose and the input schema has no task parameter. It is unclear what 'public pay-per-call tool gateway' means or how the tool actually selects a gateway.

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?

It gives example use cases ('weather, search, scrape, or voice') but no explicit when-to-use guidance, no alternatives, and no warning that task text is discarded. It does not say how this differs from sibling tools like weather-hint, web-fetch, or normalize-url.

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 discloses that no browser is launched, which is a useful behavioral constraint. However, it does not mention whether the tool makes a network request, what it returns, or how failures are reported; without annotations, more transparency is needed.

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

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

The text is short, front-loaded, and free of fluff. It conveys the core operation and a key side-effect constraint in two sentences.

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, the description lacks essential context: it does not say that url is the relevant parameter, that other fields are ignored, or what output/error behavior to expect. An agent would have to guess from the schema.

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 schema property has a description, the tool description does not connect any parameter to its purpose, and most properties (ref, city, feed, json, path, zone, query) appear unrelated to checking a URL. The url description even says 'normalize or cite' rather than 'open', so the description adds little useful parameter guidance.

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 URL can be opened') and adds the key constraint that no browser is launched. It could be more precise about what 'opened' means (HTTP 2xx, connection, redirects) but it is immediately understandable.

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

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

There is no guidance about when to prefer this tool over likely siblings such as playwright-url-ok, fetch-status, or web-fetch. The no-browser hint implies a lightweight check, but the description never says 'use this for...' or names alternatives.

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

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

With no annotations, the description carries the full burden, but it only says 'Expression discarded' without explaining side effects, errors, or execution behavior. It does not clarify that the tool is read-only, stateless, or what happens with the supplied 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 short and front-loaded, but it is under-specified and internally inconsistent: the second sentence 'Expression discarded' conflicts with the stated purpose. The long, irrelevant parameter list makes the tool feel cluttered despite the concise description.

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 does not explain the expected expression format, how to supply it, or what result the caller should expect. Given that the schema contains nine optional unrelated parameters and no output schema, the description leaves the tool essentially unusable.

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 has 100% description coverage, every parameter description (e.g., 'Git ref name', 'HTTPS URL to normalize or cite', 'File path to check') is unrelated to evaluating arithmetic. The descriptions actively mislead an agent and there is no parameter for the expression the tool claims to evaluate.

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 phrase 'Evaluate a+b style arithmetic' names a specific verb and resource, making the tool's intent recognizable. However, 'Expression discarded' is confusing and the input schema contains no expression field, which weakens an otherwise clear purpose statement.

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 calc-eval versus any sibling tool, and it never explains what expression should be passed in. The sibling list contains many other evaluators/checkers, but no selection criteria are provided.

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

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

It discloses that page content is not stored, which is useful privacy information. It does not disclose whether a network request is made, what error behavior to expect, or any rate/access implications.

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 focused sentence and wastes no words. It could be better structured, but it is concise and 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 tool with nine optional parameters and no output schema, the description is too thin: it only explains one URL-related outcome and ignores the other accepted fields, result shape, and failure modes.

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 descriptions cover every parameter, but they are terse and do not explain how parameters relate to each other or whether exactly one should be supplied. With zero required parameters, the description leaves the calling convention unclear.

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

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

The first sentence names a concrete action and scope: 'Return host, scheme, and HTTP status for a URL.' However, it does not reconcile that purpose with the nine unrelated-looking optional parameters in the schema, so the tool's actual scope feels ambiguous.

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

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

No guidance is given about when to use this tool instead of sibling tools such as fetch-status, normalize-url, or web-fetch. The only added note is a privacy statement, not usage 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 must carry the full behavioral burden. It only discloses that no identifiers are retained, which is useful privacy context, but it fails to mention whether the tool is read-only, makes external calls, or what happens with the various inputs. The behavioral picture is severely incomplete.

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 at two short sentences with no fluff. However, the first sentence is so vague that it fails to convey a clear purpose, so the conciseness works against clarity. It is structured with the purpose first, but the purpose is under-specified, making the sentence less valuable than it could be.

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, no output schema, and no annotations, this description is far from complete. An agent would not know what the tool does with the parameters, what output to expect, or how to interpret the classification. The privacy note is a small plus, but it does not fill the major gaps in context.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no parameter-specific information, but each parameter in the schema already has a descriptive line (e.g., 'Git ref name; discarded after the shape check'). The description does not compensate for any gaps, but there are no gaps in the schema itself.

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 'Show how this request is classified,' but it does not specify what kind of classification occurs or what the result means. It is too vague to distinguish from siblings like 'domain-shape' or 'browser-url-ok' without opening their schemas. The verb 'show' and resource 'this request' are present, but the core action is undefined.

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 any conditions, prerequisites, or context that would help an agent decide between 'compatibility' and similar validation tools. The only extra sentence is a privacy note, not usage guidance.

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

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

There are no annotations, so the description carries the transparency burden. It only says the tool won't return WHOIS/ownership data and gives no information about outputs, side effects, or read-only behavior. The schema's 'discarded' notes add a little transparency, but they are inconsistent with the stated 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, economical sentence with no unnecessary filler. It is concise and easy to parse, though it could arguably include a brief example or usage note without becoming bloated.

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 too minimal for the tool's complexity. It doesn't explain what the output looks like, how the many optional parameters interact, or why most parameters are discarded. An agent would not have enough context to confidently call this tool correctly in a real scenario.

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, many are unrelated to splitting a hostname. Params like ref, city, feed, json, and query are described as 'discarded' or 'checked,' but it's unclear why they exist or how they affect the tool. The host param is relevant, but the overall parameter set is confusing and not aligned with the description.

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: split a hostname into labels. It also distinguishes itself with the negative qualifier 'without WHOIS or ownership data,' which helps set expectations even if it doesn't name alternative tools.

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

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

The description provides no guidance on when to use this tool versus any sibling tools. It doesn't mention alternatives, prerequisites, or typical scenarios, leaving the agent to guess based on the tool 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?

No annotations are provided, and the description only mentions HEAD and status-only behavior. It does not explain how the many unrelated optional parameters are handled or what side effects, if any, may 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, focused sentence with no unnecessary words. It is concise and easy to parse, though it may be too terse given the complex parameter list.

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, no required parameters, and no output schema, the description leaves major gaps: it does not specify which parameters are relevant, which are ignored, what the output format is, or how errors are reported.

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 description, those descriptions are mismatched with the tool's stated purpose. For example, 'url' is described as 'HTTPS URL to normalize or cite' rather than 'URL to check status', and other parameters like city, feed, and json appear unrelated. This is actively misleading.

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 (HEAD), the target (a public URL), and the output (status only), which distinguishes it from content-fetching tools. However, it does not explicitly contrast with sibling tools.

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

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

There is no guidance on when to prefer this tool over alternatives like web-fetch or browser-url-ok, nor any mention of redirects, errors, or fallback behavior. The intended usage is implied but not explicit.

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

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

The description only says 'Parse' and 'Path discarded', giving minimal behavioral detail. With no annotations and no output schema, it fails to disclose what the tool returns, whether it has side effects, or how it handles invalid input.

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 very short and contains no unnecessary words. However, the fragment 'Path discarded' is terse enough to hurt clarity, though the overall length is appropriate.

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 9-parameter schema, no output schema, no annotations, and many sibling tools, the description is far too incomplete. It lacks information about return values, parameter relevance, error behavior, and how this tool differs from URL-related 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?

Although every parameter has a description, most are clearly irrelevant to parsing a Figma file URL (e.g., 'Git ref name', 'City name for a public weather hint', 'IANA timezone name'). The url parameter description is generic and describes normalizing/citing rather than Figma-specific parsing, so the schema is highly misleading.

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

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

The description names a specific action and resource: parsing a Figma file URL. However, the extra phrase 'Path discarded' is ambiguous, and the input schema contains many unrelated parameters that make the intended purpose less clear.

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

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

No guidance is given about when to use this tool versus siblings like normalize-url, domain-shape, or browser-url-ok. There is no mention of appropriate scenarios, prerequisites, or conditions that would select this tool.

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

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

The only behavioral disclosure is 'No disk access,' which is a safety note. There is no mention of side effects, permissions, or other behaviors. Since no annotations are provided, the description carries the full burden but fails to disclose more than one aspect.

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. The structure is simple and straightforward, though it omits necessary context about the 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 the mismatch between the description and the input schema, the agent cannot correctly understand how to invoke the tool. The presence of 9 unrelated parameters with no explanation of their relevance makes the tool incomplete for practical 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?

All 9 parameters have descriptions, but most are clearly mismatched with the tool's stated purpose (e.g., 'ref' as 'Git ref name', 'city' as 'City name for a public weather hint'). Only 'path' is relevant. The descriptions are detailed but irrelevant, adding confusion rather than clarity.

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 path looks safe') and resource ('path'), but it does not align with the actual parameters, which are mostly unrelated to paths. This creates ambiguity about the tool's true scope, though the core purpose is still discernible.

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. The description lacks any mention of scenarios, prerequisites, or comparisons to similar tools like 'browser-url-ok' or 'fetch-status', leaving the agent without direction 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 tool-level annotations are provided, so the description carries the burden of disclosing behavior. It mentions Open-Meteo, implying an external call, but does not state side effects, failure modes, data retention, or whether anything is mutated. Some parameter descriptions mention discarding data, but the main description does not.

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, tight sentence with no unnecessary words. It is front-loaded with the output type and method, making it easy to scan.

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 complex input schema with nine optional parameters and no required fields, the description is incomplete. It does not explain which parameter supplies the place, what the expected input format is, what the output shape looks like, or what error behavior to expect.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds minimal parameter meaning beyond the schema—it suggests a 'place' is involved but does not clarify which of the nine optional parameters should be used. The schema descriptions are present but some are unrelated to geocoding, leaving parameter selection 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 clearly identifies the resource (latitude and longitude) and the source (Open-Meteo), so an agent can infer that this tool returns coordinates for a place. It lacks an explicit verb such as 'get' or 'geocode', and it does not differentiate itself from sibling tools like weather-hint, but the core purpose is still 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, when not to use it, or what inputs are appropriate. It is not misleading, but it offers no usage direction beyond the bare purpose.

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, and the description does not disclose any behavioral aspects such as error handling, side effects, or edge cases (e.g., malformed URLs, missing owner/repo). The tool appears to be a simple parse, but the lack of transparency limits an agent's ability to anticipate outcomes.

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, consisting of a single sentence. It avoids unnecessary verbosity and is well-structured, though it omits essential details that would require additional sentences.

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 an agent to use the tool effectively. It does not specify the return value (e.g., owner and repo as separate fields), how to invoke the tool (which parameter to provide), or the purpose of the many irrelevant parameters. The absence of an output schema and any contextual details makes it inadequate for correct usage.

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 nine parameters. While the schema provides individual descriptions, they are generic and largely irrelevant to the stated purpose (e.g., 'city', 'feed', 'zone' have no connection to parsing a GitHub URL). The 'url' parameter description ('HTTPS URL to normalize or cite') is generic and does not mention GitHub-specific parsing. The description adds no meaningful semantic clarity 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 action ('Parse') and the target ('owner and repo from a GitHub URL'), which differentiates it from sibling tools like 'normalize-url' or 'figma-url-shape'. However, it does not specify the output format (e.g., separate strings or an object), leaving 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 provides no guidance on when to use this tool versus alternatives, what constitutes a valid GitHub URL, or how to handle non-GitHub inputs. It is a single sentence with no contextual or conditional advice.

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. It only mentions that titles are discarded, implying titles are ignored input, but it does not describe any side effects, network usage, or limitations. The read-only nature is not explicitly stated.

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, using only two short sentences. Every word serves a purpose, and there is no redundancy or irrelevant 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?

The tool is not complete for an agent. There is no output schema, no explanation of how the unrelated parameters should be used, and no description of the result format or any caveats. An agent would not know what arguments to pass or what to expect in return.

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 9 parameters with descriptions, but these are generic and clearly copied from other tools (e.g., 'Git ref name; discarded after the shape check', 'Search text; discarded after the length check'). None relate to counting Hacker News stories, and the tool description does not clarify their relevance. The parameter semantics are effectively meaningless for this tool.

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

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

The description clearly states the action ('Count') and the resource ('current Hacker News front-page stories'). It is specific and distinguishes this tool from siblings like 'fetch-status' or 'normalize-url' by focusing on a precise counting task.

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 conditions, prerequisites, or scenarios for use. The phrase 'Titles discarded' is a behavioral note, not usage guidance.

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

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

No annotations are provided, and the description reveals nothing about side effects, read-only behavior, or potential failures. The cryptic phrases in parameter descriptions (e.g., 'discarded after the shape check') hint at validation behavior but do not clearly disclose what the tool actually does. The agent is left in the dark about the tool's operational characteristics.

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 brief, which is concise, but it lacks structure and fails to communicate essential information. There is no breakdown of functionality or explanation of the input parameters. The brevity is not an asset because it omits critical 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?

The tool lacks an output schema, and the description does not specify what it returns or how the tool behaves. The placeholder-like parameter descriptions and missing usage details leave the tool functionally opaque. An agent cannot reliably invoke or interpret the results based on the given information.

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

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

Although the input schema has 100% coverage, the parameter descriptions are generic and unhelpful. Terms like 'discarded after the shape check' and 'no disk access' appear to be boilerplate copied from other tools and do not clarify how the parameters relate to IANA timezone names. The 'zone' parameter is the only one that clearly maps to the tool's purpose, but the rest 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 'Common IANA timezone names for clock calls' does not state a clear action or purpose. It reads more like a tagline than a functional description, leaving the agent unsure whether this tool lists, validates, or resolves timezone names. No verb or resource specification is present.

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 expected input formats, return types, or scenarios where this tool is preferred. An agent would have no basis to select it over sibling tools like 'timezone' or 'tz-asia-tbilisi'.

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

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

With no annotations provided, the description carries the burden of explaining behavior, but it only says 'public' and 'return group counts'. It does not disclose network access, parsing rules, error handling, or side effects, though it is not contradictory.

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 filler, and it front-loads the action and the key output qualifier ('only'). It is appropriately concise for the stated functionality.

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 large 9-parameter schema, the absence of an output schema, and no annotations, the description is incomplete. It does not explain parameter roles, the return structure of group counts, or failure behavior, leaving significant gaps for an agent.

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

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

The schema has 100% parameter description coverage, so the baseline is 3, but many parameter descriptions are unrelated to the stated robots.txt purpose (city, feed, json, zone, query) or say values are 'discarded'. The tool-level description adds no parameter context and leaves which inputs actually matter unclear.

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

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

The description names a concrete action ('Fetch a public robots.txt') and a specific output ('return group counts only'), which distinguishes it from generic web-fetching siblings. It does not clarify how the robots.txt location is derived from the parameters, but the core purpose is reasonably 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 over siblings like web-fetch, fetch-status, or browser-url-ok. It also omits prerequisites or the intended input for locating the robots.txt file.

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 tool mentions 'Key discarded,' indicating that the key is not retained after the call, which adds a small behavioral note. However, it does not disclose what happens on valid or invalid keys, return format, or side effects. Moreover, the parameter names in the schema (e.g., 'url', 'city', 'query') are unrelated to a Jira key, creating a confusing mismatch that reduces 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 very concise and front-loaded with the purpose. It avoids unnecessary words and is well-structured. However, the brevity combined with the parameter mismatch slightly reduces clarity, so it is not a perfect score.

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

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

The description is severely inadequate for an agent to use correctly. With 9 parameters, all optional, and no output schema, the description provides no information on what constitutes a valid Jira key shape, how the parameters are used, or what the expected output is. The unrelated parameters further compound the confusion, making this tool nearly unusable without additional context.

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 descriptions cover 100% of parameters, the tool description adds no meaning to them; it actually contradicts the parameter set because none of the parameters relate to a Jira key. The description fails to bridge the gap between the tool's purpose and the generic parameters, making the schema less useful.

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's purpose: 'Check a Jira issue key shape.' This is a specific verb and resource that distinguishes it from sibling tools like domain-shape or figma-url-shape, which check other types of formats.

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

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

No guidance is provided about when to use this tool versus alternatives. The description lacks any mention of context, conditions, or alternative tools, 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?

The description notes that the body is discarded, suggesting a read-only status check, but it does not disclose any other side effects or guarantee that the operation is non-destructive. With no annotations, this level of detail is insufficient.

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 omits essential context about the parameters and expected usage, making it too sparse to be considered well-structured for a tool with nine optional inputs.

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

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

With no output schema and a description that only mentions HTTP status, the tool's behavior for the other parameters and its return format remain undefined, leaving the context incomplete for an agent 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?

While each parameter has a description, they reference unrelated domains (e.g., city, timezone, search text) that do not align with checking HTTP status. The tool description does not explain how these parameters are used, so the semantic coherence is poor.

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 HTTP status for a URL, which is a clear verb+resource combination. However, the tool name 'lib-docs-hint' and the unrelated parameters introduce ambiguity about the actual 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?

The description provides no guidance on when to use this tool instead of alternatives like fetch-status or browser-url-ok, nor does it explain how to select among the nine optional parameters.

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, but it only states that values are discarded and mentions 'discarded after the check' for the json parameter. It does not explicitly say whether the operation is read-only, deterministic, or has side effects, though 'count' implies a pure inspection.

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

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

The description is short and free of redundancy, fitting the 'count keys' purpose in two sentences. It could be more structured by naming the input parameter, but it is not bloated.

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 nine-parameter schema and no output schema, the description leaves critical gaps: it does not specify which parameter is the JSON input, what output is returned (e.g., a number), or what happens for invalid JSON. The presence of many unrelated parameters and the 'validate' wording make the tool's complete behavior quite unclear.

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 has 100% coverage, most parameter descriptions are irrelevant to counting keys; the json parameter is described as 'validate' rather than as the object whose keys are counted. The description fails to clarify the role of the eight other parameters, so it does not add meaningful semantics 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 verb 'count' and object 'keys in a JSON object' are clear, but the description does not identify which input parameter holds the JSON object, and the schema's many unrelated parameters muddy the intended resource. It is not as specific as it could be for distinguishing this tool from sibling tools like 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?

No guidance is given about when to call this tool versus alternatives such as validate-json or search-query-len. The description does not mention prerequisites, expected input format, or when key counting is appropriate.

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

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

The description discloses that query and fragment are dropped, but it fails to explain how the many unrelated schema parameters (city, feed, json, zone, etc.) are handled. The schema suggests these might be used, yet the description only covers URL processing, creating behavioral ambiguity.

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

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

The description is exceptionally concise and well-structured, using two short sentences to state the core operation and the dropping behavior. Every word contributes to meaning.

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 nine schema parameters and no output schema, the description is not complete enough. It does not explain whether the extra parameters are ignored, what happens when no parameters are provided, what the output format looks like beyond the listed fields, or whether the operation has side effects. The mismatch between the description and the schema leaves significant contextual gaps.

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, several descriptions are unrelated to the stated URL-normalization purpose (e.g., 'City name for a public weather hint' and 'IANA timezone name'). The 'query' parameter description ('Search text; discarded after the length check') conflicts with the description's statement that URL query strings are dropped. The description adds no clarifying semantics for these mismatched parameters.

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's purpose: 'Return origin, host, and path for a URL. Query and fragment are dropped.' It names the exact resource (URL) and the expected output components, making the operation 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?

The description gives no guidance on when to use this tool versus alternatives such as browser-url-ok or web-fetch. It does not mention use cases, prerequisites, or why normalization is needed, leaving the agent to infer applicability.

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 transparency burden. It does disclose that no browser is launched and some parameter descriptions mention discarding or no disk access, but it does not clarify whether network access occurs, what side effects exist, or what the success criteria are.

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 tool description is two short sentences and is immediately scannable. The parameter descriptions are also compact and contain no unnecessary fluff.

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 required parameters, and no explanation of the return value or acceptance criteria. With nine heterogeneous optional parameters and little surrounding context, an agent cannot reliably predict what this tool does or what outcome to expect.

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

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

All nine parameters have individual descriptions, but they reference unrelated concepts such as URLs, cities, JSON, file paths, timezones, and search text. The descriptions add some meaning, yet they do not explain how these parameters relate to the stated URL-checking purpose, and many are described as discarded.

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 and resource ('check whether a URL can be opened') and adds a caveat ('no browser is launched'), but it never defines what 'opened' means or what the tool actually evaluates. It is not clearly distinguished from siblings like browser-url-ok, normalize-url, or fetch-status.

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 when-to-use guidance is provided, and no alternatives are mentioned. The 'no browser is launched' caveat gives a small hint about what not to expect, but 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, the description carries the burden of disclosing side effects and behavior. It only states that the query is discarded, leaving return format, error behavior, and handling of non-query parameters unspecified.

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 very brief and both sentences convey relevant information. It could be considered too terse, but there is no redundant wording.

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 accepts nine optional parameters and has no output schema, the description is incomplete for an agent trying to decide what counts as input. It does not explain why unrelated parameters like ref, url, city, json, path, or zone are accepted or what happens when multiple are supplied.

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

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

Schema coverage is 100%, so a baseline score of 3 applies. The description adds little beyond the schema's per-parameter descriptions, and it does not clarify how the eight non-query parameters relate to the stated purpose.

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

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

The description clearly states the tool counts characters in a search query, using a specific verb and object. It is distinguishable from sibling count tools, though the presence of many unrelated optional parameters in the schema slightly blurs the intended input.

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 explicit guidance about when to use this tool instead of alternatives, nor does it specify prerequisites. The intended use must be inferred from the name and the single query-related parameter.

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 explain behavior, but it only names a catalog and gives no indication of side effects, return format, errors, or read-only nature. The parameter descriptions hint at discarded inputs but do not make the tool's behavior transparent.

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

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

The description is short and the schema is compact with one-line parameter descriptions. The structure is clear, though the terse noun-phrase style limits its informative value.

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 nine optional parameters, no output schema, and no annotations, the description is far too incomplete. It omits what the tool returns, how inputs relate to the catalog, and any operational context 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?

Each parameter has a one-line description, so schema coverage is nominally 100%, but the parameters (Git ref, URL, city, feed, host, JSON, path, timezone, query) are unrelated to an HTTP status code catalog and several are described as 'discarded'. This adds little usable semantic meaning for invoking the tool.

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

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

The description is a noun phrase ('Short catalog...') without a verb, so it doesn't state what action the tool performs. It identifies a topic but not whether it lists, fetches, or returns status codes, and it does not distinguish this from sibling tools like fetch-status.

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 instead of alternatives. No conditions, prerequisites, or selection criteria are provided despite many closely related sibling 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 must carry the burden of explaining side effects and data handling. It does disclose 'Prompt discarded' and some parameter descriptions say values are 'discarded' or involve 'no disk access', but it does not explain output behavior, side effects, or why the tool exists. Transparency is only partial.

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 short sentences, front-loaded with the main purpose and followed by a relevant behavioral note. There is no redundant wording or filler; every sentence earns its place.

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

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

The description is too sparse for the confusing combination of tool name, vague deliverable, and nine unrelated-looking optional parameters. It does not explain what the three-step template is, when to request it, or how it relates to sibling tools. The overall context is incomplete for reliable selection.

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 has a description, many saying values are 'discarded' or checked without side effects. This tells the agent the parameters are effectively ignored, but it does not explain why such parameters are present or how any input could affect the returned template. The descriptions add some semantics but remain largely unhelpful.

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 'Return a three-step thinking template', which identifies a verb and resource, but 'three-step thinking template' remains vague and does not distinguish this tool from siblings like 'agent-tool-index' or 'status-catalog'. The name hints at a thinking aid, but the description does not clarify what the template contains or why it is useful.

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 only additional note, 'Prompt discarded', is a behavioral warning, not usage direction. An agent receives no context about whether to call this before other tools, as a fallback, or for a specific kind of task.

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 action (return current time) with no mention of side effects, permissions, rate limits, output format, or that many parameters are discarded after a 'shape check'. While the implied behavior is read-only, the gap is significant given the schema's complexity; the description provides no warning or context about the multi-purpose nature of the 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 a single, concise sentence that front-loads the purpose. It is efficient and free of fluff. However, it may be too terse, omitting any mention of the tool's actual parameter set or behavior, which could be considered under-specification rather than ideal conciseness. Still, for the stated purpose alone it is appropriately short.

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 9 optional parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain the purpose of the other parameters, what the output looks like, or how to invoke the tool correctly. An agent would be unable to handle the tool confidently without additional information. A one-liner is inadequate for such a complex schema.

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

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

Schema description coverage is 100%, so the schema already documents each parameter clearly (e.g., 'zone' is 'IANA timezone name'). This meets the baseline of 3. However, the description adds no value in guiding which parameter(s) to use for the stated timezone task, and does not clarify why unrelated parameters exist or how they should be handled. The agent is left to infer that 'zone' is the relevant one, which is not explicitly stated in the description.

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 'Current time in a named IANA timezone' clearly states the core action (return current time) and the resource (a specific IANA timezone). It implicitly distinguishes from siblings like 'utc-time' (which provides UTC) and 'tz-asia-tbilisi' (a fixed zone), though it does not explicitly name alternatives. However, the input schema contains 9 unrelated parameters (e.g., 'ref', 'url', 'path') with descriptions like 'discarded after the shape check', which is not reflected in the description and could confuse an agent about the tool's actual behavior.

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 siblings such as 'utc-time', 'iana-zones', or 'tz-asia-tbilisi'. The description does not mention any prerequisites, context, or exclusions. An agent would have to infer usage purely from the tool name and vague description, which is insufficient for a tool with 9 optional parameters.

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 bears the burden of disclosing behavior. It implies a read-only lookup but does not state side effects, return format, or whether parameters are ignored. This leaves the agent guessing about observable 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 very concise and front-loaded, stating the core purpose in one short sentence. It avoids unnecessary wording, though it omits useful parameter context that would make the description more complete.

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 9 optional parameters and 23 sibling tools, the description is too terse. It does not explain which parameter to supply, what output to expect, or how this differs from related time tools, leaving significant contextual gaps for the agent.

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

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

The schema already documents each of the 9 optional parameters with descriptions, so schema coverage is 100%. The tool description adds no additional meaning about which parameter is relevant or how the parameters relate to the timezone lookup, keeping this at the baseline.

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

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

The description clearly states the tool's function: returning the current local time for Asia/Tbilisi. The verb 'Current local time' and the specific timezone resource are concrete, though it does not explicitly contrast itself with sibling tools like timezone or utc-time.

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 instead of alternatives such as timezone or utc-time, nor does it explain how the many optional parameters should be used. The description only states what it does, not when or how to invoke 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 explaining side effects, permissions, or read-only behavior. It only states the output and does not mention that parameters are ignored, whether the operation is safe, or any other behavioral implications.

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 very short and to the point, which is appropriate for a simple tool. However, the brevity comes at the cost of omitting essential usage and parameter context, so it is not fully well-rounded.

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 provides no examples, return format, or error behavior. Given the confusing parameter list, the description is far from complete enough for an agent to confidently 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 schema lists nine optional parameters, but the tool description does not explain how any of them relate to obtaining a UTC timestamp. The individual parameter descriptions appear generic and unrelated to the tool's core function, leaving the agent without meaningful guidance on whether or how to supply them.

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 returns the current UTC timestamp, which is concise and identifiable. It distinguishes the tool from sibling time-related tools like timezone or tz-asia-tbilisi, though it does not explicitly use a verb.

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 such as timezone or fetch-status. It does not mention typical use cases, prerequisites, or conditions that would make this tool the preferred choice.

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

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

The description discloses that the body is discarded, indicating no persistence after the check. It does not describe the return value or error behavior, but the core side effect is transparent.

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

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

The description is only two sentences and leads with the main action. It avoids filler and is easy to scan, though it may be too terse to cover the schema's breadth.

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 and no statement about what callers should expect in return. The presence of many unrelated optional parameters is unexplained, so the interface is not fully self-contained.

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 lists nine optional parameters with descriptions, but most (ref, url, city, feed, host, path, zone, query) appear unrelated to validating JSON. Only the 'json' parameter clearly aligns with the stated purpose, and no explanation bridges the others into the operation.

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 clear action: checking whether a body is valid JSON, and notes the body is discarded. This distinguishes it from sibling tools like browser-url-ok or fetch-status.

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 prefer this over alternatives or when not to use it. The only contextual hint is that the body is discarded, which implies use for validation only, but it is not explicit.

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

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

No annotations are provided, and the description does not disclose any behavioral aspects such as side effects, read-only nature, rate limits, or error handling. The burden falls entirely on the description, which is silent on these matters.

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 very short, which is concise, but it omits essential information such as the expected input parameter, output format, or any usage example. Brevity is achieved at the expense of completeness, making the tool hard to use correctly.

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 high parameter count and lack of an output schema, the description is severely incomplete. It does not specify what the return value looks like, what errors may occur, or how to handle non-existent cities. An agent would have to guess or probe the tool, which is risky.

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 defines 9 parameters, all optional, but most are irrelevant to weather (e.g., 'ref', 'url', 'feed', 'host', 'json', 'path', 'zone', 'query'). Their descriptions are generic and appear copied from other tools, and even the 'city' parameter is described as 'discarded after the call', which is confusing. The description does not clarify which parameter is required or meaningful, so an agent cannot reliably determine how to invoke the tool.

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

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

The description clearly indicates the tool's purpose: retrieving the current temperature for a city using Open-Meteo. However, it is phrased as a noun phrase rather than an explicit action verb like 'get' or 'retrieve', so it is slightly less direct.

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. There is no mention of which parameter to supply (e.g., 'city') or how to handle multiple cities or errors. The description is purely declarative with no usage instructions.

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 bears full responsibility. It mentions 'Body discarded' but omits other behaviors such as redirects, timeouts, error handling, or authentication requirements.

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 very short and to the point, with two clear sentences. It avoids unnecessary verbosity.

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 nine parameters and absence of an output schema, the description is far too sparse. It does not explain which parameters are relevant, what the exact input URL should be, or what the response format will be, leaving agents with insufficient information.

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

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

The schema descriptions are misleading (e.g., 'url' says 'normalize or cite' instead of fetching), and the tool description never clarifies that only the 'url' parameter is actually used. The other parameters are described as discarded, but their purposes are unrelated to the tool's stated function.

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 ('HTTP status and content type for a public URL') but does not distinguish it from sibling tools like fetch-status or browser-url-ok, and the schema includes many irrelevant parameters that confuse the primary 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?

No guidance is provided on when to use this tool versus alternatives. The description only states what it does, not when it should be chosen 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 provided, the description carries the full burden. It only says 'Title discarded after the call,' which hints at data handling but does not clarify side effects, read-only behavior, or what the caller should expect beyond a yes/no existence 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 very short and front-loaded, with no filler or redundant content. It earns its place but could have better structured the relationship between the stated purpose and the actual 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?

With 9 parameters, no required fields, no output schema, and a mismatched parameter list, the description is far from complete. An agent cannot determine how to invoke this tool or interpret its result.

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 properties (ref, url, city, feed, host, json, path, zone, query) are unrelated to checking a Wikipedia title, and the description fails to explain which parameter represents the title. The existing property descriptions are present but misleading for this tool's 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 states a clear verb+resource ('check whether a Wikipedia title exists'), but the schema contains no 'title' parameter, so the actual intent is ambiguous. It does distinguish from sibling tools by naming Wikipedia titles, but the mismatch weakens the 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 given about when to use this tool versus sibling tools like browser-url-ok, file-path-ok, or domain-shape. The description only states what it checks, not when it should be preferred or avoided.

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