Currency HUF

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

With no annotations, the description carries the full disclosure burden. It does disclose two useful traits — 'pay-per-call' (cost implication) and 'Task text discarded' (inputs are shape-checked, not processed) — which the schema's repeated 'discarded after...' notes corroborate. But it omits side effects, network behavior, and cost magnitude, and gives no safety profile for a tool that appears to consume foreign URLs and feeds.

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?

Three short sentences, each earning its place: purpose, return artifacts, and the key discard behavior, with the purpose front-loaded. It is dense and efficient with no filler words. The middle sentence's jargon list ('CLI setup, how-it-works, skill file, remote MCP hops') is cryptic, but that is a clarity problem rather than a structural one.

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, zero annotations, and no output schema, the description is incomplete: it never explains how the parameters relate to the stated purpose, what the return artifacts look like, or when to choose this tool among 26 siblings. The schema's discard-heavy parameter descriptions actually deepen the confusion by suggesting inputs do not influence the outcome. Minor credit for enumerating the return artifacts.

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 — each of the 9 parameters is individually documented in the schema. The description adds only the unifying note that task text is discarded, which matches the schema's 'discarded after...' language but adds no per-parameter meaning. Critically, it never connects the 9-parameter grab bag (city, zone, query, json, feed...) to the stated gateway-finding purpose, so an agent cannot determine which parameter to supply.

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 resource ('public pay-per-call tool gateway (Monid)') with a verb ('Find') and enumerates return artifacts ('CLI setup, how-it-works, skill file, and remote MCP hops'), so it avoids tautology. However, the core terms are unexplained jargon — an agent cannot tell what a 'Monid' gateway is or what the returned hops mean — and nothing in the description distinguishes this tool from its 26 siblings. It states what is found but not what the tool effectively 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 when-to-use guidance appears anywhere in the description; it neither names alternatives nor gives selection conditions despite having 26 siblings such as web-fetch, normalize-url, and status-catalog. 'Task text discarded' weakly implies this tool is not for task execution, but that is a behavioral note rather than usage direction. An agent has no basis to prefer or avoid this tool in any given situation.

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 does disclose one key behavior: no browser is launched. But it does not explain whether a network request is made, what 'can be opened' means operationally, whether the check is purely local, or what output the caller should expect.

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

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

Two short, front-loaded sentences with no filler. The core purpose comes first, and the key behavioral caveat follows immediately. Every word 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?

Given nine optional parameters, no annotations, and no output schema, the description is too thin. It omits return value semantics, the actual mechanism of the check, and any practical context about when this check is sufficient. The agent is left to guess what 'ok' means and what a successful versus failed check looks like.

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 tool description itself adds no parameter-level meaning, and the schema's parameter descriptions are thorough but somewhat disconnected from the stated purpose. All parameters are optional, and the description does not clarify which one is central or how the others relate to checking URL openability.

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 ('Check whether a URL can be opened') and explicitly says no browser is launched, which distinguishes it from browser-launching siblings like playwright-url-ok. However, 'can be opened' is somewhat ambiguous—it could mean syntactic validity, DNS resolution, or HTTP reachability—and the schema's url parameter description ('normalize or cite') does not fully align with checking openability.

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 fetch-status, web-fetch, normalize-url, or playwright-url-ok. The only usage hint is negative ('No browser is launched'), which is not enough for an agent to confidently choose this tool in context.

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

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

With no annotations, the description carries the full transparency burden. It adds one behavioral note ('Expression discarded'), but it omits whether a result is returned, what happens with malformed expressions, side effects, or how the nine schema parameters are treated.

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 and front-loaded with the core operation, but it is under-specified rather than efficiently complete. The second sentence adds a behavioral note yet still leaves key selection/invocation details absent.

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 nine-parameter tool with no annotations and no output schema, this description is not usable: it neither says how to supply the expression nor what response to expect. The parameter schema appears to belong to different tools, making correct invocation impossible from the definition 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?

Schema description coverage is 100%, so the baseline is 3, but the description adds no parameter guidance and none of the parameters correspond to the promised arithmetic expression. The schema descriptions describe unrelated checks (URLs, city, JSON, etc.), so the mismatch outweighs the schema baseline and leaves invocation 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 first sentence names a concrete operation ('Evaluate a+b style arithmetic'), but the input schema exposes nine unrelated string parameters (ref, url, city, feed, host, json, path, query) with no arithmetic or expression field. An agent cannot tell what this tool actually computes from the definition; the stated purpose does not connect to any parameter.

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, prerequisites, or alternatives are given. There is only an implicit 'use when arithmetic is needed,' but nothing distinguishes calc-eval from sibling tools or explains how to route an arithmetic request into the provided 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 provided, the description carries the behavioral disclosure burden. It adds one useful behavioral guarantee, 'Page content is not stored,' but it does not disclose whether a network request occurs, how redirects or failures are handled, or what the response structure looks like.

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 sentences with no filler. The primary behavior is front-loaded, and the storage note is meaningful safety context rather than 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?

A nine-parameter schema with no required fields and no output schema needs more explanation. The description never says whether the parameters are alternative modes, whether exactly one should be supplied, or what happens when url is absent. This leaves an agent guessing about the intended invocation pattern.

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 description does not need to repeat parameter meanings. It adds a little context by clarifying the expected output for the url parameter, but it contributes nothing to understanding the other eight parameters. The schema-based baseline of 3 applies.

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 specific about the core behavior: 'Return host, scheme, and HTTP status for a URL.' This identifies a clear verb, output fields, and resource type. However, it does not acknowledge the other eight schema properties or explain how this differs from sibling tools like fetch-status or normalize-url.

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 explicit guidance about when to use this tool versus alternative URL-related siblings. 'Page content is not stored' hints that it is a lightweight, non-retentive option, but it never states when to prefer this over fetch-status, 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?

With no annotations, the description carries the behavioral disclosure burden. It offers a useful privacy guarantee ('No identifiers are retained') and implies a read-only action with 'Show', but it does not describe the classification output, external calls, or error behavior. It is a thin but not entirely empty disclosure.

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 two sentences are tightly written and front-load the primary action before the privacy guarantee. No words are wasted, though the brevity does contribute to the overall under-specification.

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?

This tool has nine optional parameters, no output schema, and no annotations, so the description needs to explain the classification behavior at a high level. It only gives a one-line purpose and a privacy note, leaving an agent unable to predict the result format or how to select among the many input fields.

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 of the nine parameters already has a per-field description in the schema, so the baseline is 3. The tool description adds no extra meaning about how the parameters map to the classification, but it does not need to repeat schema details.

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 provides an action ('Show') and a resource ('this request'), but it never explains what classification means, what categories exist, or what 'compatibility' refers to. It also does not differentiate this tool from sibling shape/validator tools such as domain-shape or validate-json.

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

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

There is no guidance about when to use this tool, when not to use it, or which alternative would be preferable. The privacy note 'No identifiers are retained' implies a tradeoff, but it does not tell an agent why to choose this over normalize-url, validate-json, or other shape checkers.

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 full burden of behavioral disclosure. It reveals only the absence of WHOIS/ownership data and does not mention side effects, return behavior, input handling, or that the schema exposes many other parameters with 'discarded' semantics. The mismatch between the narrow description and the broad schema creates 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 a single, front-loaded sentence with no filler. Every word contributes to the stated scope and the differentiation from ownership-oriented tools.

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 9 optional parameters, no required parameters, no annotations, and no output schema, yet the description addresses only one concept (hostname). It fails to explain what the tool returns, which parameters are actually used, and why the schema contains unrelated fields like city, feed, JSON, and query. This is inadequate for reliable invocation.

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

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

Schema description coverage is 100%, so the baseline is 3 even without additional parameter detail in the tool description. The description adds some meaning for the host parameter by saying it is split into labels, but it does not explain the roles of the other eight parameters or how they relate to the described behavior.

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

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

The description uses a specific verb ('Split'), a clear resource ('hostname'), and a concrete outcome ('into labels'). The added phrase 'without WHOIS or ownership data' differentiates it from ownership-focused tools and from sibling shape tools like github-repo-shape or figma-url-shape.

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

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

The description implies usage by stating it splits hostnames and explicitly omits WHOIS/ownership data, so an agent can infer it is for shape-only checks. However, it does not name sibling alternatives or state when not to use it, leaving usage guidance mostly implicit.

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 burden. It usefully discloses the HTTP method (HEAD) and that no body is returned. However, it does not explain how the many unrelated schema parameters are handled, nor redirects, timeouts, or error behavior.

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

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

The description is a single, front-loaded sentence with no filler. It is concise and easy to parse, though given the complex schema it may be too terse to be fully useful.

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 optional parameters, no output schema, and no annotations, yet the description gives no guidance on which parameter to use or what the return value looks like beyond 'status only'. This is insufficient for an agent to invoke the tool correctly, especially given the mismatch between the description and the parameter list.

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%, but the description does not map its 'public URL' to the url parameter or clarify which of the nine optional parameters should be supplied. Several schema descriptions are unrelated or even misleading, such as 'HTTPS URL to normalize or cite', so the agent cannot confidently choose the right parameter.

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: perform an HTTP HEAD request on a public URL and return only the status. This is clear and not a tautology. It implies a difference from content-fetching tools like web-fetch, though it does not explicitly name 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?

The description implies this tool is for cases where only an HTTP status is needed, but it gives no explicit when-to-use or when-not-to-use guidance. With siblings like browser-url-ok, playwright-url-ok, and web-fetch, the absence of routing guidance leaves the agent to infer the distinction.

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 disclosure burden, but it only states 'Path discarded,' which is ambiguous (URL path vs the path parameter). It does not indicate whether the tool makes network calls, returns a normalized URL, validates format, or is read-only. The 9-parameter schema suggests side effects/ignored inputs, yet none are explained.

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 (two short sentences) and front-loads the primary purpose. However, it omits essential usage and behavioral information, so the brevity is more under-specification than effective conciseness. It earns a neutral score.

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

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

Given no annotations, no output schema, and nine loosely related parameters, the description is nowhere near complete. It fails to explain which parameters are relevant for a Figma URL shape check, what the parse result looks like, or any side effects. An agent cannot reliably invoke the tool correctly from this 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?

Schema coverage is 100%, so the parameter role is largely documented. The description adds context that the URL is a Figma file URL, narrowing the generic 'HTTPS URL' schema description, and hints that path is ignored. However, it does not clarify how the remaining parameters relate to this tool, so it adds only slight value.

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

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

The description names a specific action ('Parse') and resource ('a Figma file URL'), making the tool's focus clear. It does not explicitly differentiate from sibling shape tools by naming alternatives, but the resource specificity is sufficient for basic selection.

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 over siblings like browser-url-ok or github-repo-shape. It does not mention exclusions, prerequisites, or context. An agent must infer the tool's applicability solely from the name.

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 behavior, and it does state one important trait: no disk access. However, it does not explain what 'safe' means, what kinds of paths are rejected, or what the tool returns, leaving significant 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 two sentences with the core purpose front-loaded and a valuable constraint in the second sentence. It contains no filler and 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?

For a tool with nine optional parameters and no output schema, the description is too sparse. It does not state the return value, define what constitutes a safe path, or explain the role of the many unrelated parameters, so an agent must rely heavily on schema inference.

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 input schema already documents all nine optional parameters. The description adds no parameter-level detail beyond naming 'path,' and it does not clarify which optional parameter should be populated when several are present.

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 and object: 'Check whether a path looks safe,' and adds a useful scope constraint with 'No disk access.' It is not scored 5 because 'looks safe' is undefined and it does not explicitly differentiate itself from sibling *-ok validators.

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 browser-url-ok or wiki-title-ok. The only hint is 'No disk access,' which implies a non-filesystem check, but the description never states when this tool 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.

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

With no annotations provided, the description carries the entire burden of explaining behavior. It only states a currency code and says nothing about side effects, return values, validation, or what is done with the parameters. No behavior is disclosed.

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, but this is under-specification, not purposeful conciseness. A tool with 9 parameters and no annotations needs meaningful explanation; one bare statement about HUF does not 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?

The tool has 9 optional parameters, no output schema, no annotations, and no behavioral description. An agent cannot determine which parameter matters, what the tool returns, or why it exists among 29 siblings. The description is drastically incomplete.

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 itself adds no parameter meaning, but the schema documents each parameter. The parameter descriptions are unusual and disconnected from the currency topic, but the schema still carries the documentation burden.

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 "ISO 4217 currency HUF" is a noun phrase, not a tool action. It does not state a verb, resource behavior, or what calling this tool accomplishes. It also provides no differentiation from 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 about when to use this tool versus any sibling. No context, prerequisites, or alternative tool references are given, and the 9 optional parameters offer no 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?

No annotations are present, so the description carries the full burden of behavioral disclosure. It reveals an Open-Meteo dependency but does not state the output format, failure behavior, rate limits, or whether the lookup is side-effect free. Several parameters are described as 'discarded,' which suggests unusual behavior that the description does not explain.

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

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

The single sentence is free of filler and front-loads the useful output information. However, it is more under-specified than economically structured: it omits essential invocation details while being very 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?

For a tool with 9 optional parameters, no output schema, and no annotations, a one-line purpose statement is insufficient. The agent cannot determine which parameter to pass for the place, what the returned coordinates look like, or what happens when multiple parameters are provided.

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 already have descriptions in the schema, so the baseline is 3. The tool description adds the concept of 'a place' but does not map that concept to the 'city' parameter or clarify whether other parameters can also supply the place. Thus, it adds little 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 the output (latitude and longitude) and the data source (Open-Meteo), so an agent can infer this is a coordinate-lookup tool. However, it is phrased as a noun phrase rather than an explicit verb-plus-resource instruction, and it never connects 'a place' to any of the 9 input parameters.

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 when-to-use guidance, no alternative-tool comparisons, and no exclusions. It does not mention whether 'city' is the expected parameter or whether other parameters like 'url', 'query', or 'host' are alternative place inputs. An agent has to guess when this tool is appropriate versus siblings like weather-hint or lib-docs-hint.

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 'parse owner and repo' and does not explain what happens with invalid URLs, whether non-GitHub URLs are rejected, what the output format is, or whether the other parameters are ignored.

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

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

The description is a single sentence with no filler; the action and object are front-loaded. For a tool described this simply, there is no wasted 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?

With no annotations, no output schema, 9 parameters, and a large set of sibling tools, a one-sentence description is far from complete. An agent cannot tell what the tool returns, how invalid inputs are handled, or what the other eight parameters are for, making successful invocation speculative.

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 all 9 parameters, so the baseline is 3. The description adds only that the tool is GitHub-URL-focused, partially clarifying the role of the url parameter, but it does not explain the many unrelated parameters. The schema's own url description ('HTTPS URL to normalize or cite') is broader and somewhat mismatched with the GitHub-specific description, leaving ambiguity unresolved.

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

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

The description uses a specific verb ('Parse') and resource ('owner and repo from a GitHub URL'), so the core purpose is immediately clear. It does not distinguish itself from close siblings like normalize-url or domain-shape beyond the GitHub-specific wording, and it omits whether validation or normalization is also performed.

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 use this tool versus alternatives such as normalize-url, domain-shape, or jira-key-shape, and no exclusions or preconditions are stated. The only implied usage is 'GitHub URLs,' which is more about purpose than actionable 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?

No annotations are present, so the description bears the burden of behavioral disclosure. It does add one useful behavioral signal — 'Titles discarded' indicates the output is limited to a count. However, it does not state whether the tool makes a live network request, how failures are handled, or what the exact return shape is, leaving meaningful gaps.

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

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

The description is short, front-loaded, and contains no filler. The main purpose appears in the first clause, and 'Titles discarded' adds useful behavioral information. It loses a point only because the second sentence is a fragment that could be more clearly integrated.

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 required parameters, and no output schema, the description should clarify which parameter is relevant or whether no parameter is needed. It does not. It also fails to state whether the tool fetches live data or what the count response looks like, leaving the agent to guess about invocation details.

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 nine optional parameters are already documented in the input schema. The description adds no new parameter-level meaning beyond the 'titles discarded' hint, which overlaps with the schema's feed parameter description. Per the high-coverage baseline, 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 names a specific verb and resource: 'Count current Hacker News front-page stories.' This is unambiguous and inherently distinguishes the tool from generic fetch, validation, and hint tools in the sibling list. The 'Titles discarded' note is secondary but does not obscure the core purpose.

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

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

There is no explicit guidance on when to use this tool versus alternatives, no stated conditions, and no exclusions. The purpose sentence implies a use case, but the description never tells an agent 'use this when you only need the number of front-page stories' or 'for titles, use another 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?

With no annotations, the description must disclose behavior, but it only says what the tool contains, not what happens on invocation. The schema reveals that most inputs are 'discarded after' checks, which is a significant behavioral trait the description completely omits.

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

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

The description is short, but it is under-specified rather than appropriately concise. It is a fragment with no verb and no actionable information, which is insufficient for a tool with nine optional parameters and no annotations.

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

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

There is no output schema, no annotations, and a complex, seemingly unrelated set of nine parameters. The description does not explain what the tool returns, how inputs map to the timezone purpose, or how it differs from the closely related timezone and utc-time tools.

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

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

Schema description coverage is 100%, and each parameter has an individual description, so the baseline is 3. The tool description adds no parameter meaning beyond the schema, but it does not need to because the schema already documents the parameters explicitly.

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 resource ('IANA timezone names') and a context ('clock calls'), but it is essentially a noun phrase rather than a tool behavior. It neither states what action the tool performs nor how to request a timezone name, and the actual input schema has no timezone-related parameter, making the stated purpose misleading.

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 use this tool versus siblings like timezone, utc-time, or weather-hint. The phrase 'for clock calls' implies some relationship but does not explain selection criteria or exclusions.

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

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

With no annotations, the description carries the behavioral disclosure burden. It does convey that this is a read-only network fetch of a public resource and that the return value is intentionally limited to group counts. However, it does not address missing robots.txt cases, rate limits, timeout behavior, or how other inputs are treated.

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. It front-loads the action and resource, and the 'only' constraint adds meaningful scope without extra words.

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

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

For a tool with nine optional parameters, no annotations, and no output schema, this one-sentence description is insufficient. It omits which parameter identifies the robots.txt URL, what the expected output shape is beyond 'counts,' and what happens on missing or invalid inputs.

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%, but the schema's parameter descriptions are generic shape-check descriptions unrelated to robots.txt. The tool description does not explain which parameter supplies the target URL or host, leaving the agent unable to map 'Fetch a public robots.txt' to a specific input field.

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

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

The description clearly states a specific verb and resource: 'Fetch a public robots.txt' and narrows the output to 'group counts only.' This distinguishes it from generic fetch/status tools, though it does not explicitly differentiate itself from siblings.

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

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

The description gives no guidance on when to use this tool versus alternatives like web-fetch or fetch-status. It only implies a minimal output use case via 'group counts only,' but no exclusions or alternative recommendations 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?

The description discloses one meaningful behavioral trait: the key is discarded, implying no retention. However, with no annotations provided, it does not state whether the tool makes network calls, requires auth, or what it returns (boolean, normalized key, error), leaving important behavioral gaps.

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

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

The description is two short sentences with no filler. The first sentence states the purpose and the second adds a distinct privacy-related behavior, so every word 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?

Given nine optional parameters, no output schema, and no annotations, the description is not self-sufficient. It fails to identify the relevant input parameter, the expected output, or whether the operation is purely local, making it difficult for an agent to 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?

Even though the schema has 100% description coverage, the description references a 'key' that is not present among the nine schema properties, and it does not map the Jira key to any specific parameter. An agent cannot tell whether to pass 'ref', 'url', or some other field, so the description adds no 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 clearly names the resource ('Jira issue key') and the action ('Check'), and the 'shape' wording signals format validation rather than API lookup. It also distinguishes this tool from sibling shape checkers like github-repo-shape or domain-shape, though it does not define what a valid Jira key shape is.

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 indication of when to use this tool over alternatives, nor does it mention any prerequisites or exclusions. With 26 sibling tools, an agent is left to infer the context 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?

No annotations exist, so the description carries the full burden of behavioral disclosure. It adds one useful trait ('Body discarded'), but it does not mention redirect handling, error behavior, network call semantics, or the fact that the nine optional schema fields are effectively ignored, leaving significant uncertainty.

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 two sentences are short, front-loaded, and free of filler; the core output (HTTP status) is stated first, and 'Body discarded' earns its place as a behavioral note. It is concise, though brevity contributes to the missing selection and parameter guidance.

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 9-parameter tool with no annotations and no output schema, this definition is incomplete: an agent cannot tell which parameter to populate, what the exact return format is, or how this tool differs from closely related siblings. It is minimally usable only if the agent guesses that url is the relevant field.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds a 'docs URL' qualifier but does not explicitly say to pass the url parameter or explain how the other eight optional fields relate to the call, so it does not meaningfully exceed the schema's own documentation.

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 tool's function: given a public library docs URL, it returns the HTTP status and discards the body. It is not a tautology, but it does not explicitly differentiate from fetch-status or web-fetch and lacks an explicit verb such as 'returns'.

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 statement of when to use this tool over fetch-status, browser-url-ok, normalize-url, or web-fetch, and no exclusions or prerequisites are mentioned. The only implied context is the phrase 'public library docs URL,' which is too thin to guide tool 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?

With no annotations, the description must carry the behavioral disclosure burden. It does reveal that values are discarded, but it omits important behavior: whether nested keys are counted, what happens on invalid JSON, and what the return value looks like.

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

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

Two short sentences, front-loaded and free of filler. Every word contributes to the core purpose.

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 many parameters, no output schema, and no annotations, so the description needs to connect the parameters to the stated behavior. It does not specify the output format, the target parameter, or edge-case behavior, leaving the agent under-informed.

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

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

Schema coverage is 100%, so the baseline is 3. The description adds little beyond the schema and does not make clear that the 'json' parameter is the object to count, especially since that parameter's schema description says 'JSON text to validate.'

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?

"Count keys in a JSON object" is a specific verb and resource, and "Values discarded" clarifies the operation's scope. However, it does not explain which input parameter supplies the JSON object, so some ambiguity remains for invocation.

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 when-to-use or when-not-to-use guidance and never mentions sibling alternatives. 'Values discarded' only weakly implies this is for cases where values do not matter.

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 a key behavioral trait: query and fragment are dropped, which is useful given no annotations. However, it does not explain the output format, invalid URL handling, or how the many unrelated-looking schema parameters (ref, city, feed, json, path, zone, query) relate to the normalization 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 appropriately sized: two short sentences with no filler. The primary behavior is front-loaded, and the query/fragment caveat is stated clearly in the second sentence.

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 annotations, and no output schema, a two-sentence description is insufficient. An agent cannot determine which parameter is primary, what the return value looks like in practice, or why several schema parameters appear unrelated to URL normalization.

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 does not add meaningful parameter semantics beyond the schema, and it fails to clarify the apparent mismatch between the URL-focused description and the extra parameters in the schema.

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

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

The description clearly states a specific verb and resource: 'Return origin, host, and path for a URL.' It also adds distinguishing behavior by noting that query and fragment are dropped, which helps separate it from URL-checking siblings like browser-url-ok and domain-shape.

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

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

The description implies when to use the tool: when normalized URL components are needed without query or fragment. However, it gives no explicit guidance about alternatives or when not to use this tool, especially given the large sibling list with several URL-related 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 behavioral disclosure burden. It only reveals that no browser is launched, but does not clarify whether a network request occurs, what 'can be opened' means, whether there are side effects, or what the tool returns. This is a significant transparency gap.

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: purpose first, then a key behavioral constraint. However, the brevity is not fully appropriate for a 9-parameter tool with broader scope than just URL checking, so it earns a high but not 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?

Given no annotations and no output schema, the description is too thin to be contextually complete. It does not describe the result format, how non-URL parameters are handled, or what the tool actually does besides not launching a browser. An agent cannot fully predict call behavior from this 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?

Schema description coverage is 100%, so all nine parameters are already documented in the schema. The description adds no parameter-specific meaning beyond implying that the URL check does not launch a browser. Baseline 3 is appropriate because the schema handles parameter semantics.

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 and resource: checking whether a URL can be opened. The 'No browser is launched' qualifier adds useful distinction from browser-based checks. However, it omits the tool's other accepted input kinds (city, JSON, path, zone, query) and does not explicitly differentiate from siblings 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 is given about when to use this tool versus the many sibling tools. 'No browser is launched' implies a lightweight check, but the description does not mention alternatives, exclusions, or conditions that would help an agent choose between this tool and web-fetch, fetch-status, normalize-url, or browser-url-ok.

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 'Query discarded,' which suggests the input is not retained. With no annotations provided, the description still fails to mention what is returned, whether any validation or normalization occurs, or why the schema descriptions mention actions like 'normalize or cite' and 'validate.' The tool's actual behavior beyond discarding the query remains opaque.

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

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

The description is extremely concise and front-loaded: two short sentences with no filler. 'Query discarded' is a useful extra behavioral note. The brevity is appropriate, though it sacrifices necessary detail elsewhere.

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

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

Given nine optional string parameters, no annotations, no output schema, and a description that does not map the operation to the parameters, the definition is incomplete. An agent cannot confidently determine what input to provide, what the tool will do with it, or what the return value will be.

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 already has a description, but the tool description refers to a 'search query' that appears nowhere among the parameters. It does not clarify which property should be treated as the query, nor how fields like url, city, feed, host, json, and path relate to counting characters. This mismatch adds confusion instead of semantic value.

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

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

The description states a specific action ('Count characters in a search query') and a behavioral note ('Query discarded'), so the basic purpose is understandable. However, it never identifies which of the nine schema properties is the 'search query', and it does nothing to distinguish this tool from sibling counting tools like hn-front-count or memory-key-count.

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 choose this tool over alternatives or when not to use it. There are no exclusions, prerequisites, or context about the intended scenario, leaving the agent to infer usage entirely from the name and the sparse description.

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 does not state whether the tool is read-only, what it returns, whether it makes network calls, or whether parameters affect the output. The word 'catalog' weakly suggests a passive reference, but that is not explicit.

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

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

The description is a single, short sentence with no filler. It could be slightly more informative by adding a verb and clarifying the return value, but as a concise statement it is well-sized.

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 annotation coverage, so the description is the only place to communicate return behavior, parameter relevance, and side effects. As written, an agent cannot confidently predict what invoking this tool will do or why nine unrelated optional parameters are exposed.

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

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

Schema coverage is 100%, so the baseline is 3, but the parameters documented in the schema (ref, url, city, feed, host, json, path, zone, query) are largely unrelated to an HTTP status code catalog. The description adds no guidance on which parameter, if any, should be supplied, and it does not state that all parameters are optional or ignored.

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

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

The description identifies a clear resource ('common HTTP status codes') and scope ('short catalog'), so an agent can infer this is a reference lookup for status codes. It lacks an explicit operation verb like 'returns' or 'lists', and does not contrast it with siblings like fetch-status, but the intent is still recognizable.

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

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

The description implies usage: an agent should select this when it needs a compact reference of common HTTP status codes. However, it provides no explicit when-to-use guidance, no exclusions, and no comparison to alternative tools such as fetch-status.

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, and it does disclose a meaningful behavioral trait: 'Prompt discarded' signals that the input is ignored rather than processed. However, it stops short of stating that all parameters are ignored and that no side effects or external calls 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 extremely tight: two short sentences, with the purpose front-loaded and no filler. Every word adds information, especially the discarded-prompt caveat.

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, two sentences leave too much unsaid. It does not define what a three-step thinking template contains, why multiple unrelated parameters are accepted, or what happens if no parameters 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 the baseline applies: the input schema already documents each parameter and explicitly says each is discarded after a shape check. The description adds no parameter-specific meaning beyond the vague 'Prompt discarded' note.

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 and object: return a three-step thinking template, which is clear enough. However, it does not explicitly distinguish this tool from siblings like agent-tool-index or search-query-len, and the term 'Prompt discarded' is 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?

There is no statement of when to use this tool versus any alternative, no exclusions, and no prerequisite context. The intended use is only implied by the name and the word 'template'. 'Prompt discarded' says what happens, not when to call 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?

No annotations are provided, so the description carries the behavioral burden. It communicates a read-only style operation but does not disclose that the input schema contains no obvious timezone parameter, that many listed parameters are discarded, or what output format to expect.

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 words, so it is concise. However, it is under-specified for a 9-parameter tool and provides no structural cues about the important 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?

Despite having a 9-parameter schema and no annotations or output schema, the description does not explain how to specify the timezone, which parameters are relevant, or which are ignored. An agent cannot confidently construct a correct call from the available 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?

Schema description coverage is 100%, which normally earns a baseline of 3, but the description refers to a 'named IANA timezone' while no schema property represents a timezone. It fails to connect the described function to any of the 9 parameters, and the mismatch could mislead an agent selecting 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 states a specific verb and resource: it returns the current time for a named IANA timezone, which is clear and immediately understandable. It does not explicitly differentiate itself from siblings like utc-time or iana-zones, but the IANA timezone qualifier gives enough purpose specificity for a 4.

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 alternatives such as utc-time or iana-zones. There is no mention of when it is appropriate, when it is not, or which sibling tools cover related cases.

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

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

No annotations are present, so the description carries full behavioral disclosure burden. It only says 'Current UTC timestamp,' which omits important behavioral traits such as whether parameters are ignored, whether the operation is read-only, and what exact format the timestamp uses. The input schema hints that all values are 'discarded' or have no effect, but the description never communicates this.

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, front-loaded, and free of filler. For a superficially simple tool this is efficient, though it sacrifices critical context that the other dimensions capture.

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

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

Given no output schema, no annotations, and an unexpectedly rich input schema with discarded parameters, the description is incomplete. An agent cannot tell what format the timestamp is returned in, whether any parameter changes behavior, or whether the tool is side-effect-free. The description needs to explicitly state that all inputs are ignored and the result is a current UTC 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?

The input schema provides descriptions for all seven parameters, so the baseline is 3. The tool description itself adds no parameter-level meaning, and it does not clarify that these parameters do not affect the returned timestamp. The schema's 'discarded' notes provide some semantics, but the overall description fails to tie those parameters to the tool's actual no-input behavior.

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

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

The description states the tool's function concisely: it returns the current UTC timestamp. It is clear enough to distinguish the core operation from sibling tools like timezone or iana-zones, though it does not explicitly name them or contrast 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 about when to use this tool versus alternatives such as timezone or iana-zones. The description gives the agent no contextual cues about selection or exclusions.

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

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

With no annotations, the description must carry the behavioral disclosure burden. It does reveal a key side effect: 'The body is discarded.' However, it does not disclose what happens for invalid JSON, what the return value is, or whether any of the url/feed/host/path parameters cause network or file access.

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. The primary purpose is front-loaded, and the discard side effect is stated without wasted words.

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

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

Despite nine parameters and no output schema or annotations, the description only covers a minimal validity check and a discard side effect. It does not explain the role of unrelated-looking parameters (url, city, feed, host, path, zone, query), the output format, or error behavior, leaving the tool under-specified for reliable invocation.

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

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

Schema description coverage is 100%, so the schema already documents all nine parameters in detail. The description adds no parameter-level meaning beyond referring vaguely to a 'body,' which does not clearly map to the 'json' parameter.

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 and resource: 'Check whether a body is valid JSON.' This clearly distinguishes it from validation siblings like browser-url-ok or wiki-title-ok, though it does not explicitly name or contrast those alternatives.

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 other shape/validity checkers such as file-path-ok or domain-shape. The description only implies a validation use case but provides no context, prerequisites, or exclusions.

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

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

No annotations are present, so the description carries the full behavioral burden. It does not disclose that only the city parameter is used, that other schema parameters are discarded, that an external API call is made, or what the response looks like. The schema hints at discarded parameters, but the description itself is silent on these behaviors.

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

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

The description is a single, focused sentence with no filler. It front-loads the resource, the action, and the data source, 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?

The tool has 9 optional parameters, no output schema, and no annotations, yet the description does not clarify which parameters are actually relevant, what the output format is, or whether this is a network-backed lookup with possible failures. An agent cannot confidently invoke the tool correctly based on this 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?

Schema description coverage is 100%, so the baseline is 3. The description adds little beyond naming 'city' as the relevant input, but the schema already documents each parameter, including the city parameter's role as a public weather hint.

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 outcome: current temperature for a city, and even cites the data source Open-Meteo. It does not explicitly differentiate from sibling tools like geo-hint, and the word 'hint' in the tool name is unexplained, but the core purpose is 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 implies it should be used when an agent needs current temperature for a city, but it gives no explicit guidance about when to use this tool instead of a sibling, or when not to use it. No alternatives are mentioned.

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

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

With no annotations, the description carries the full burden for behavioral disclosure. It does add useful behavior beyond the tool name: the body is discarded and only status/content type are returned. It does not mention redirects, timeouts, rate limits, or error behavior, so transparency is adequate but 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?

Two short sentences with no filler. The main output is stated first, and the critical caveat about body disposal is 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?

Despite a detailed input schema, the description is too sparse for a tool with nine parameters and no output schema or annotations. It does not explain how the extra parameters (ref, city, feed, host, json, path, zone, query) relate to the stated HTTP status/content-type behavior, leaving an agent without enough context to call it confidently for non-URL inputs.

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

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

Schema description coverage is 100%, so the baseline is 3 even though the description itself adds no parameter details. The description only mentions 'public URL' while the schema exposes eight other unrelated parameters, creating some ambiguity, but the schema descriptions already document each parameter's meaning.

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

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

The description clearly states a specific verb and resource: it returns HTTP status and content type for a public URL, and explicitly notes that the body is discarded. However, it does not distinguish this tool from likely siblings such as fetch-status or browser-url-ok, so the purpose is clear but the differentiation is not.

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 like fetch-status, normalize-url, or browser-url-ok. The phrase 'public URL' implies an unauthenticated target, but no explicit when-to-use or when-not-to-use conditions are given.

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

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

The description adds one behavioral trait beyond the purpose: 'Title discarded after the call,' which signals that the input is not retained. However, with no annotations present, it does not disclose return behavior, network dependencies, or other side effects, so the 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 two sentences with no wasted words. The primary purpose is front-loaded, and the second sentence provides a distinct behavioral note. It is concise and well structured for a simple checker tool.

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 is too thin. It fails to explain how the Wikipedia title should be supplied, which parameter to use, or what the tool returns. The mismatch between the description and the input schema leaves an agent with insufficient information to invoke the tool reliably.

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 properties each have descriptions, the tool description refers to a 'title' parameter that does not appear anywhere in the schema. The schema exposes ref, url, city, feed, host, json, and path, but none is clearly mapped to the Wikipedia title being checked. This mismatch undermines parameter clarity despite high schema description 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 clearly states the operation: 'Check whether a Wikipedia title exists.' This is a specific verb and resource, and the tool name reinforces the purpose. It does not explicitly distinguish itself from sibling tools, but the core purpose is unambiguous.

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 versus alternatives, and mentions no exclusions or prerequisites. It only states the basic action, leaving the agent to infer the use case without additional context.

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