Miles per hour to km/h

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

No annotations are present, so the description carries the full burden. It does disclose that task text is discarded, but otherwise omits critical behavioral aspects such as whether the tool makes external network calls, imposes rate limits, incurs costs, or how 'connection methods' are delivered. These gaps matter for a tool that manages pay-per-call gateways.

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, starting with the core purpose and including a useful caveat about discarded task text. It avoids unnecessary words, though it has the side effect of being too thin on behavioral 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 description is inadequate for a tool with 9 unconstrained optional parameters and no output schema. It does not explain how the parameters map to the 'task' concept, what a typical input combination looks like, or what a 'connection method' return value is. An agent would have to guess the tool's expected call 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 coverage is 100%, so the baseline is 3. The description adds minimal value beyond the schema by mentioning that task text is discarded and that results are connection methods, but it does not clarify how each parameter is used or how they combine, which is weak for a 9-parameter gateway lookup 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 ('Find'), a resource ('public pay-per-call tool gateway'), and a clear scope ('for a task such as weather, search, scrape, or voice'). It distinguishes from sibling tools by describing a meta-search/index function rather than a specific utility, though it does not explicitly name any alternative.

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 examples of appropriate usage (weather, search, scrape, voice) which implies when to use the tool, but it does not explicitly state when not to use it or point to alternative siblings. It lacks explicit routing or selection criteria.

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

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

With no annotations, the description carries full responsibility. It discloses only that no browser is launched, but not what the check entails, whether it makes network calls, or what kind of result it produces. This omission leaves the tool's behavior largely 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?

Two short sentences with no fluff, front-loaded with the primary purpose and a key behavioral exclusion. Concise, though it sacrifices completeness for brevity.

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

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

Amid 9 parameters, no annotations, and no output schema, the description does not tell the agent which parameters to use or what the result represents. The presence of unrelated schema fields (city, feed, json, etc.) creates confusion about how the tool should be invoked. It is not complete enough for correct, confident 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 schema description coverage is 100%, so the baseline is 3. The tool description adds no additional clarity about the url parameter and even mismatches the schema's url description ('to normalize or cite'). It does not state which of the 9 optional parameters are relevant to this check.

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 action and object: 'Check whether a URL can be opened.' It also adds the key contrast 'No browser is launched,' which distinguishes it from playwright-url-ok. However, 'can be opened' is ambiguous about whether this is a syntactic check or a connectivity check.

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

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

Provides no guidance about when to prefer this tool over siblings such as playwright-url-ok or normalize-url. The only usage clue is the deplicit 'No browser is launched,' but there is no context about when a lightweight URL check 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?

No annotations are present, so the description bears the full burden. 'Expression discarded' is a cryptic side-effecting fragment that does not disclose input expectations, return values, mutations, network calls, or error behavior. An agent has no idea what will actually happen on invocation.

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 severely under-specified. It does not even name which parameter holds the expression, what a legitimate 'a+b style' expression looks like, or whether the invoker should use the tool at all. This is under-specification, not conciseness.

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 takes 9 optional string parameters and returns no output schema, but the description mentions none of them. It does not specify how the arithmetic is expressed, what is returned when the score succeeds, or what causes an error. This is far too incomplete for an agent to invoke correctly.

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

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

Schema description coverage is 100% (each of the 9 parameters has a sentence), which meets the high-coverage baseline of 3. However, the description adds no connection between 'a+b arithmetic' and any of the listed parameters (ref, url, city, feed, host, json, path, zone, query), failing to make the schema coherent.

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 ('Evaluate') and resource ('a+b style arithmetic'), but no parameter in the schema is an expression, so an agent cannot map the operation to any input. It does not differentiate from the sibling checker/hint 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 absolutely no guidance on when to use this tool versus the 26 siblings, no exclusions, no alternatives, and no preconditions. The 'Expression discarded' clause does not provide selection criteria.

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

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

Without annotations, the description carries the full burden of behavioral disclosure. It reveals that page content is not stored, which is helpful, but it fails to explain that the other 8 parameters are effectively discarded after shape checks and that this is essentially a URL-only tool. Its network behavior, side effects, and de facto ignored parameters are undisclosed.

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 compact and front-loaded, with two clear sentences that state the core behavior and a valuable non-storage detail. No wording is wasted, though the brevity does not address the tool's surprisingly large parameter surface.

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 annotations, and no output schema, the description is not complete enough for an agent to call the tool correctly. It fails to clarify that only the URL parameter is actually used and that the other parameters are ignored after validation; an agent might mistakenly believe all or some parameters matter for the URL check.

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 description coverage is 100%, so a baseline of 3 is warranted. The description adds minimal meaning beyond the schema by reinforcing that url is the relevant parameter, but it does not clarify how the other 8 parameters relate to the stated purpose, leaving ambiguity about their role.

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 distinctive function: returning host, scheme, and HTTP status for a URL, with a specific verb ('Return') and resource. It does not, however, name or contrast any sibling tools such as fetch-status or normalize-url, so differentiation is left to inference.

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

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

The description gives no guidance on when to use this tool instead of alternatives. It does not state conditions, exclusions, or compare with siblings like browser-url-ok or web-fetch, leaving the agent to guess the appropriate context.

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

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

No annotations are present, so the description carries the full behavioral burden. It discloses a privacy guarantee ("No identifiers are retained."), which is useful and consistent with the schema's 'discarded' notes, but it never states whether the call is read-only, whether any network requests happen, what the response is, or how the classification is produced.

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 core purpose is front-loaded in the first sentence and the privacy guarantee follows in six words; there is zero wasted text. It is appropriately minimal, though the brevity crosses into under-specification, which is penalized 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?

For a 9-parameter tool with no output schema and no annotations, a three-word intent plus a privacy note is severely incomplete. The description never explains what the classification result is, how the parameters interact, whether all fields are evaluated together, or what the caller receives — which an agent necessarily needs to use 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?

Schema coverage is 100% — every one of the 9 optional parameters is individually described in the input schema. The description's blanket "No identifiers are retained" only restates privacy intent and does not add meaning beyond the schema, so the baseline 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?

"Show how this request is classified" states a verb and a subject but never defines what "classified" means, what taxonomy is used, or what the output looks like. With 29 siblings such as status-catalog and agent-tool-index that also categorize requests, this provides no way to distinguish it from 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?

The description gives no guidance on when to invoke this tool versus any of the 29 siblings, no exclusions, and no prerequisites. An agent cannot tell whether this is the right tool for a single category (say a URL) or a multi-category request, since all 9 fields are optional.

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 bears the full burden of behavioral disclosure. It does mention that WHOIS/ownership data is not returned, which is a useful negative constraint, but it fails to disclose the behavior for the other 8 parameters and offers no clarity on error handling, side effects, or what exactly is returned beyond the split labels. The schema descriptions of 'discarded after the check' appear only in structured data, not in the description.

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

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

The description is a single, well-formed sentence that states the core action and a key business rule ('without WHOIS or ownership data'). It maximizes information per word and places the primary function upfront. No fluff or redundant phrases appear.

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 only covers one aspect (hostname splitting). An agent cannot determine how to use the tool for JSON validation, URL normalization, or file path checking, nor whether those parameters are mutually exclusive or complementary. The description is fundamentally incomplete for this complex, multi-parameter tool.

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 thoroughly documents each parameter (e.g., 'HTTPS URL to normalize or cite'). The description only references 'hostname' and doesn't explain how the additional parameters interact with the split operation or whether they are alternate inputs or ignored. Since the schema covers all parameters, the baseline 3 is appropriate and the description adds no extra parameter 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 states a clear operation: 'Split a hostname into labels' and adds a useful constraint ('without WHOIS or ownership data'). However, the input schema exposes nine parameters (json, city, zone, etc.) that are not reflected in the description, creating a mismatch between advertised purpose and the full scope implied by the schema. An agent could still pick it for a hostname-splitting task, but the description doesn't distinguish it from siblings like normalize-url or url handling 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 use this tool versus alternatives. The description says what it does but never states situations like 'use when you need to split a hostname' or 'do not use for full URL validation'. An agent is left to infer appropriateness from the name and one-line description, with no exclusions or prerequisites 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 provided, the description carries the full behavioral burden. It does disclose the HTTP method, the public-URL constraint, and that only the status is returned, but it omits what the status value looks like, how redirects or errors are handled, and how a 9-parameter schema is reconciled with this single-URL behavior. This is partial disclosure, not a complete behavioral profile.

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 zero filler, so every word earns its place. However, this brevity borders on under-specification for a tool with nine optional parameters and no output schema, preventing 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 complexity context is high: 9 parameters, no required fields, no output schema, and no annotations. The one-sentence description fails to state which parameter is actually used, what happens when several are supplied, or what the returned status means, leaving a substantial gap that an agent would have to resolve experimentally.

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 parameter docs already describe all nine fields, including the 'discarded after the shape check' notes for non-URL params. The description itself adds no parameter-level meaning beyond naming a generic URL, so no additional semantics are provided beyond the schema 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 states a specific verb (HEAD) and resource (public URL) and explicitly narrows the output to status only. This clearly distinguishes it from content-fetching or browser-rendering siblings like web-fetch, browser-url-ok, and playwright-url-ok, without needing to inspect any sibling schemas.

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?

'Return status only' implies the tool should be used when a lightweight availability/status check is needed rather than a full fetch, but no sibling tools are named and no when-not-to-use conditions are given. An agent must infer selection criteria from the description and sibling names, which leaves the guidance implied rather than 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 only disclosed behavior is 'Path discarded', which is a minimal implementation detail. With no annotations supplied, the description carries the full burden for telling the agent about side effects, read-only posture, network access, or output format; it provides none of that.

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

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

Two short sentences, front-loaded with the core action and immediately followed by a precise caveat. There is no filler or redundancy, though the brevity also contributes to the lack of completeness.

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

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

As a 9-parameter optional-side tool with no annotations and no output schema, a two-sentence description is radically insufficient. The agent cannot audit which parameter is the Figma URL, whether the other 8 are ignored, or what the tool returns, so the description is not complete enough to support correct 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 coverage is 100%, so the baseline is 3: the description does add slight meaning by tying the tool to a 'Figma file URL' and saying the path is discarded, which narrows the 'url' parameter. However, the 9-parameter schema is broad and the description gives no hint about how these parameters interact or which one should be provided.

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 explicitly identifies the resource as 'Figma file URL' and the action as 'Parse', with 'Path discarded' further scoping the behavior. This distinguishes it from sibling shape tools such as domain-shape or wiki-title-ok, though it remains short about what the parse result actually 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?

No explicit when-to-use or when-not-to-use guidance is given, and no alternative tools are mentioned. The intended usage is only implied by the resource name ('Figma file URL'), leaving the agent to infer when this tool should be picked over normalize-url, browser-url-ok, or other 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 must carry the behavioral burden. It does disclose 'No disk access,' which is a useful guarantee, but it says nothing about return values, error behavior, or what 'safe' means. For a safety-checking tool this is an incomplete picture.

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, front-loaded sentences with no filler. Every word contributes, though the second sentence could be more useful than simply restating the parameter 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?

For a tool with nine optional parameters, no output schema, and no annotations, the description is too sparse. It leaves the agent unsure of what to pass, what response shape to expect, and what 'safe' means—critical gaps for a validation tool.

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 each parameter is already documented. However, the parameter list includes nine unrelated options, and the description does nothing to clarify which parameter should be supplied; it implies 'path' without tying it to the actual schema structure.

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 ('Check') and resource ('path') and adds a key constraint ('looks safe', 'No disk access'). This distinguishes it from the many sibling 'ok' and 'shape' tools, though it leaves the exact meaning of 'safe' to inference.

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

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

The description does not explain when to use this tool over siblings like browser-url-ok or github-url-shape, nor does it mention prerequisites or exclusions. It says only what it does, not when to choose it.

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

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

No annotations are provided, so the description carries the full burden for behavioral disclosure. It mentions an external Open-Meteo dependency but does not clarify whether the call is network-bound, what the output format is, or how the many other parameters are treated. It is not contradictory, but it is too thin for an agent to predict the behavior confidently.

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 one-line, front-loaded phrase with no filler or redundant wording. It is efficient, though perhaps so terse that it under-specifies the tool rather than being concisely 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?

The tool has nine optional parameters, no required parameters, and no output schema, yet the description only says it gives coordinates for a place. It does not say which parameter is needed, what the output format is, or how the unrelated parameters should be treated. This is a significant gap for an agent trying to invoke it correctly.

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

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

Schema coverage is 100%, so the baseline is 3 even if the description adds little. The description adds the notion of a place and Open-Meteo, but does not explicitly map any of the nine optional parameters to the geographic lookup, leaving city, query, or zone 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 says the tool returns latitude and longitude for a place via Open-Meteo, which identifies the core function. It is clear at a high level, but it does not explicitly distinguish itself from sibling tools or mention which parameter is the 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?

There is no guidance on when to use this tool versus alternatives such as weather-hint or timezone. No conditions, exclusions, or example scenarios are given, so the agent is left to infer when and 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?

No annotations are provided, so the description must carry the behavioral burden, but it only states the parse operation. It does not disclose behavior on invalid URLs, whether the tool performs network access, what output shape is returned, or whether the parse is purely local. For a tool with no annotations, this leaves an agent guessing about failure modes and side effects.

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 with no filler or repetition. However, it is still structurally sparse for a tool with 9 optional parameters, so it does not fully earn a 5.

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 no annotations, but the description does not explain what the parsed result looks like, how to handle malformed owner/repo forms, or which parameter should receive the GitHub URL. A few clarifying sentences would make the definition meaningfully usable with this generic and broad input 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 baseline is 3 even though the description adds no parameter mapping. The description implies 'url' should be the GitHub URL, but it never explicitly relates any of the 9 schema properties to the parse behavior; almost all parameters appear unrelated to repo parsing.

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

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

The description says exactly what the tool does: parse owner and repo from a GitHub URL. It gives a specific verb, resource, and input kind, and the GitHub qualifier distinguishes it from siblings like domain-shape, figma-url-shape, or jira-key-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 provides no explicit guidance about when to choose this tool over alternatives, nor does it state any exclusions or prerequisites. It implies the GitHub-URL case but does not say 'use this when you need owner/repo from a GitHub URL' or note cases where it should not be used.

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 load, but it only says 'Titles discarded.' It does not state whether it performs a network request, returns an integer, or ignores all input parameters. The 'discarded' language is beneficial but insufficiently specific.

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 primary action. But the brevity reaches the point of under-specification: it omits essential invocation details while mentioning an odd detail about titles being discarded.

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 9 optional parameters and no output schema, the description does not explain return values, parameter relevance, or how the tool reaches its 'current front-page' count. It is incomplete for an agent to call the tool correctly with any degree of confidence.

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 covers 100% of parameters with descriptions, so the baseline is 3. However, the tool description adds no parameter-meaning: it does not indicate that parameters are unused, and several schema descriptions ('HTTPS URL to normalize or cite', 'City name for a public weather hint') seem disconnected from a HN-counting 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 action ('Count') and a specific resource ('current Hacker News front-page stories'), and even adds a behavioral note about discarding titles. This is enough to identify the tool's core job, though it does not explicitly contrast it with any sibling tools such as web-fetch or citation.

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

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

There is no guidance on when to use this tool versus alternatives, no prerequisites, and no mention of whether any of the 9 parameters should be supplied. The description leaves the agent guessing about the intended invocation 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 at all, the description carries the full burden of disclosing behavior. It reveals nothing about side effects, return values, or access requirements. It does not even clearly say whether the tool only returns common names or can be called with a zone parameter for validation.

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 terse, a single sentence, but this is under-specification rather than concise efficiency. It front-loads nothing useful and lacks structural signposts for an agent.

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 one-line description is wholly insufficient. It doesn't explain what the tool returns, what the intended use is, or how to properly choose parameters.

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 no extra meaning beyond the schema, and its single-timezone hint doesn't explain how the 9 parameters connect to IANA zones. Still, because the schema names and describes every parameter, a 3 is warranted.

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' loosely restates the tool name ('iana-zones') and lacks an action verb. It doesn't clarify whether the tool lists names, validates a zone, or returns a constant. No comparison to sibling tools like 'timezone' or 'utc-time' helps an agent distinguish it.

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 versus the sibling 'timezone' or 'utc-time'. It provides no exclusions, prerequisites, or alternative routing, so an agent cannot decide between them.

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 does disclose that the fetch is public and that only group counts are returned, suggesting a read-only, output-limited behavior. However, it does not describe error behavior, which argument drives the fetch, or whether the robots.txt body is discarded, which is significant with no annotations present.

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 front-loaded sentence with no filler. It is concise and readable, but the brevity also contributes to the missing parameter 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?

With no required parameters, no output schema, no annotations, and nine mostly unrelated optional parameters, this description is not enough for an agent to invoke the tool confidently. It needs to say which argument supplies the host/URL and what the returned counts actually look 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 acceptable even without additional parameter detail in the tool description. Still, the description adds no mapping from the nine optional parameters to the actual robots.txt target, leaving both 'url' and 'host' plausible without 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 specific action ('Fetch'), resource ('public robots.txt'), and output mode ('group counts only'). This makes the tool distinguishable from generic web-fetch siblings, though it does not indicate which parameter supplies the target URL or host.

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 alternatives such as web-fetch, fetch-status, or browser-url-ok. With a large set of sibling fetch/check tools, an agent gets little direction beyond the tool 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?

There are no annotations, so the description must carry behavioral transparency. 'Key discarded.' does add a useful statelessness signal, but it omits what shape checking returns, whether it validates against a pattern, and what happens on 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 front-loaded. It uses no filler, but the brevity crosses into under-specification because the tool has 9 parameters and no mapping to the described key.

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 required parameters, and no output schema, the description is now need much more context: which parameter receives the Jira key, what a valid Jira key shape is, what result is returned, and what 'discarded' means. An agent cannot confidently invoke the tool with 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?

The input schema documents each of the 9 parameters, but the description does not connect 'Jira issue key' to any of them. No parameter is named or described as a Jira key, and additionalProperties is false, so an agent cannot pass a key as an undeclared property.

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: 'Check a Jira issue key shape'. This clearly distinguishes the tool from sibling shape-checkers such as domain-shape or github-repo-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?

No guidance is given about when to use this tool, when not to use it, or which sibling tool should be preferred in other contexts. With many similar shape-checking tools, this omission leaves the agent to guess.

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 'Body discarded', plus incidental hints in the schema ('no disk access', 'discarded after the check'). With zero annotations, the description carries the full burden, yet it does not say whether any network request is made, whether this is a local shape check, what the returned status values mean across the heterogeneous inputs, or whether the operation has side effects. An agent is left guessing about the tool's actual behavior.

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

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

The text is very short and the core claim is front-loaded, which is structurally efficient. But for a tool with 9 optional heterogeneous params and zero output schema, this length is under-specification rather than strengths-conciseness; it does not earn all the info that would fit in a few 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?

Given a 9-parameter, zero-required tool with no annotations and no output schema, the description must explain the input-selection behavior and the return semantics. It does neither: it never says which of the 9 params is primary, what prevents a call, what statuses are returned for valid or invalid inputs, or what happens when multiple params are populated. An agent cannot confidently invoke this tool correctly.

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

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

Schema description coverage is 100% — all 9 parameters carry explanatory text (e.g., 'HTML text to validate; discarded after the check', 'No disk access', 'Discarded after the shape check'). This matches the baseline of 3; the main description contributes no parameter meaning beyond the word 'URL', and it actually muddies which parameter is the operative one.

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 resource ('HTTP status for a public library docs URL') and adds that the body is discarded, so it is not a tautology. However, it badly misrepresents the input surface: the schema exposes 9 heterogeneous optional params (city, ref, json, zone, path, query, feed...), none of which corresponds to a 'public library docs URL' (the URL param is described as 'HTTPS URL to normalize or cite'). An agent reading the description and then the schema cannot tell what resource the tool actually operates on, which makes the stated purpose more misleading than clarifying.

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 at all about when to use this tool, when not to, or which alternatives to prefer. This is especially harmful given the sibling list contains overlapping URL/HTTP tools such as fetch-status, browser-url-ok, playwright-url-ok, normalize-url, and web-fetch; the description offers no selection criteria among them, so an agent must guess.

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 disclosure burden. It does disclose that 'Values discarded', which flags that input values are not used. But it remains unclear whether it counts only top-level keys, how invalid JSON is handled, and whether the operation is read-only in practice.

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

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

The description is extremely concise: two sentences, no filler. Each sentence earns its place: the first states the purpose, the second states the key behavioral constraint. The structure is front-loaded and free of waste.

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

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

Given 9 optional parameters, no output schema, and no annotations, the two-sentence description does not provide enough context for an agent to invoke the tool correctly. It does not explain the return value, which parameter should hold the JSON text, or edge cases, leaving the agent to guess.

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-level meaning: it does not specify which optional parameter (e.g., 'json') is the actual JSON object to count, or how the other 8 parameters relate to 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?

The description gives a specific verb and resource: 'Count keys in a JSON object.' This clearly communicates the core operation. However, it does not differentiate it from sibling tools such as 'validate-json' or show which input parameter actually carries the JSON object.

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 explicit guidance on when to use this tool versus its siblings, no alternative tool references, and no exclusions. It merely states the operation, leaving the agent to infer the usage context on its own.

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 removed, but it does not mention behavior for invalid URLs, error handling, or whether the operation is purely local. With no annotations, this leaves 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 concise and clearly structured in two short sentences. It avoids unnecessary detail, though it omits mention of the extraneous parameters, which slightly reduces structural clarity.

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 several seemingly irrelevant parameters, the description does not fully explain expected return values, parameter selection, or error behavior. It is adequate for a trivial case but incomplete for robust agent 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?

The schema includes nine optional parameters, but most descriptions are unrelated to URL normalization (e.g., 'Git ref name', 'City name for weather', 'JSON text to validate'). Only 'url' is relevant, yet the description doesn't clarify why the others exist, making the parameter semantics 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 tool returns origin, host, and path from a URL and drops query/fragment. This provides a specific verb and target, though it doesn't specify the return format or distinguish from URL-checking siblings like browser-url-ok.

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

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

No guidance is given for when to use normalize-url versus alternatives among the sibling tools. The description only states what it does, 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.

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

With no annotations, the description carries the full burden. It discloses one behavioral trait — that no browser is launched — but does not state whether a network request is made, what side effects occur, what 'opened' means, or what the tool returns on success or failure.

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

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

Two short sentences, each earning its place: the first states the core operation and the second adds an important behavioral caveat. Nothing is verbose or redundant.

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 heterogeneous parameters, no annotations, and no output schema, this description is under-specified. It does not explain the return value, the meaning of an 'openable' URL, which parameters actually affect the check, or how to deal with the many 'discarded' 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%, so the parameter descriptions provide the baseline meaning. However, the tool description adds almost no parameter-level context; it links the purpose to 'url' but does not address the other eight heterogeneous optional parameters or explain which ones are relevant.

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: checking whether a URL can be opened. The added fact 'No browser is launched' helps distinguish it from browser-related siblings such as browser-url-ok, though it does not name the sibling explicitly.

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 like browser-url-ok, fetch-status, or web-fetch. The phrase 'No browser is launched' hints at a lightweight check but does not specify the 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?

No annotations are provided, so the description must carry behavioral disclosure. It does state 'Query discarded,' which signals no persistence for that parameter, but it says nothing about the other eight parameters, the return value, or potential side effects. Schema descriptions partially cover this, but the tool description itself is thin.

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, and the core action is front-loaded. It is efficient, though arguably too terse for a tool with 9 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?

For a tool with 9 optional parameters, no annotations, and no output schema, the description leaves critical gaps: which parameter to use, what the return value is, and how the other parameters behave. An agent cannot fully determine how to invoke this tool correctly from the description alone.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no parameter-level meaning beyond the schema and actually creates ambiguity by mentioning only 'search query' while eight other parameters exist. The schema itself documents each parameter clearly, so the description does not need to compensate.

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 resource: 'Count characters in a search query.' However, the input schema exposes 9 unrelated optional parameters, which makes it unclear whether this tool only handles the query field or all listed string types. It also does not distinguish itself from sibling count tools like memory-key-count or hn-front-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?

There is no guidance on when to use this tool versus alternatives. The description does not mention exclusions, preferred contexts, or sibling tools such as memory-key-count or hn-front-count, leaving an agent without enough information to select it confidently.

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 behavioral burden. It reveals only that the catalog is short; it does not mention that the tool is read-only, how the optional inputs are used or discarded, whether there are rate limits, or what kind of response to expect. The schema's 'discarded after' notes appear, but the description itself adds no behavioral 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 write-up is only four words and is under-specified, not concisely adequate. It front-loads the topic but omits essential information about inputs, behavior, and intended use. This is the kind of brevity that leaves the agent unable to invoke the tool effectively.

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

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

With nine optional parameters, no annotations, no output schema, and a large sibling set, the one-sentence description is severely incomplete. An agent cannot determine whether to call it with no arguments, what to pass if so, or what the returned catalog will contain, making the tool practically opaque.

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 a 3. The description itself contributes nothing to parameter meaning and fails to explain why URL, city, JSON, path, and query relate to an HTTP status catalog, but the schema descriptions at least label each parameter, so the 3 baseline stands.

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 basically a noun phrase restating the tool name: 'Short catalog of common HTTP status codes' adds only size and scope to 'status-catalog' without specifying an operation. It also fails to distinguish the tool from siblings such as fetch-status or browser-url-ok, both of which might overlap with HTTP status concerns.

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 call this tool versus any of the siblings. No context, prerequisites, exclusions, or alternative conditions are given, so an agent would have to guess whether to use status-catalog, fetch-status, 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?

No annotations are present, so the description carries the responsibility for behavioral disclosure. It does explicitly say 'Prompt discarded' and the parameter descriptions repeatedly note that values are discarded or not used, which communicates a side-effect-free operation. However, it does not explicitly say there are no other effects, no I/O, or no external access beyond what the parameter descriptions imply.

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

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

The description is extremely short and front-loaded: 'Return a three-step thinking template.' followed by the key qualifier 'Prompt discarded.' There is no filler and the essential information appears first. It is appropriately concise, though slightly terse for such a large parameter surface.

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 that returns a fixed template and discards its inputs, the description is reasonably complete: it names the outcome and clarifies that the prompt is not used. Still, with no output schema and no annotations, it does not fully explain what the three-step template contains or what the agent should expect in the return value. This leaves a meaningful but minor gap.

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

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

The input schema already documents all nine parameters, and each parameter description says it is discarded after some shape check. The main description's 'Prompt discarded' adds no substantial information beyond what the schema already communicates. With full schema coverage, a baseline score of 3 is appropriate.

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

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

The description states a specific action and output: 'Return a three-step thinking template.' This clearly identifies what the tool produces and distinguishes it from the sibling tools, which are mostly URL checks, hints, and validators. It is less than 5 only because it does not describe what the three steps or template actually contain.

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 about when to use this tool or when to prefer a sibling tool instead. It says 'Prompt discarded' but does not explain the intended use case, alternatives, or exclusions. An agent is left to infer from the name that it should be used for thinking steps, which is weak 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 does not disclose side effects, error behavior for invalid timezone names, or whether the tool is read-only. The schema comments about discarded parameters hint at behavior, but the main description is silent.

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 a single, concise sentence that gets straight to the point. It is front-loaded and contains no unnecessary words.

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

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

The description is minimal: it does not state the output format, does not explain how to handle invalid timezone names, and does not integrate with the large set of otherwise-irrelevant parameters. For a tool with no output schema, this leaves some missing context 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 input schema has 100% description coverage, and each parameter has a description, including comments that several are discarded. However, the tool-level description does not clarify why nine parameters are present when only 'zone' is relevant, leaving some semantic confusion despite the schema descriptions.

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 purpose: returning the current time for a named IANA timezone. It is a fragment rather than an explicit verb phrase, but it is specific enough to distinguish the tool from siblings like utc-time and iana-zones.

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

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

No explicit guidance is given about when to choose this tool over alternatives such as utc-time or iana-zones. The intended use is implied by the description, but there are no direct comparisons 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 only hints at an external network call via 'Open-Meteo' but does not disclose error behavior, rate limits, parameter discarding, or what happens for invalid cities. Vague and under-specified.

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

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

The description is a single sentence with no wasted words. It is front-loaded with the main idea and easily readable.

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 a nine-parameter schema, no output schema, and no annotations, so the context demands more explanation. The one-liner leaves unanswered the roles of the irrelevant parameters, the required input shape, return format, and failure behavior, making it inadequate for an agent to confidently invoke.

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 usefully emphasizes 'for a city,' pointing an agent to the city parameter as the operative input among the nine schema properties, adding a small but meaningful cue beyond the raw schema 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 sentence states a clear, specific purpose: return the current temperature for a city via Open-Meteo. It differentiates the tool from weather-related siblings by the explicit data source and city scope, but the large unrelated parameter schema creates confusion that the description does not address.

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 weather-hint versus alternatives like geo-hint or timezone. The intended use case is implied only by the purpose statement; no exclusions or alternative handoffs 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?

The description explicitly states that the HTTP response body is discarded, which is a valuable behavioral disclosure. However, it fails to reveal that the input schema allows many other parameter types (city, json, host, path, etc.) and that those are 'checked' or 'discarded'. The description implies the tool is solely about URL fetching, which is misleading about its full 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 compact: two short sentences with no wasted words. The key facts—what is returned and what is not—are placed upfront. It earns a high score because it is legible and the only significant negative is that it is too short to cover the range of parameters, but that is a completeness issue more than a conciseness 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?

Given that the tool accepts 9 various parameters, has no annotations, and no output schema, the single-sentence description is insufficient. It fails to explain how the other parameters are handled, how this tool relates to the many fetch/status siblings, or any limitations beyond 'public URL'. An agent could easily misuse the tool or pick the wrong sibling.

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 has 100% description coverage for all 9 parameters, including details about 'discarded' and 'shape check' behavior. The tool description adds no new parameter-level semantics; it only focuses on the URL parameter. With the schema already covering the parameters, the baseline of 3 is appropriate.

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

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

The description states a specific action and resource: it fetches a public URL, returns HTTP status and content type, and discards the body. This is clear and more specific than a vague 'fetches a URL'. However, it does not differentiate from the sibling tool 'fetch-status', which may perform a similar function, so it's not a perfect 5.

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

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

The description provides no guidance on when to use this tool versus alternatives like fetch-status, browser-url-ok, or normalize-url. It only says 'for a public URL', but gives no conditions, exclusions, or pointers to a more suitable sibling. An agent is left with no routing context.

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

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

With no annotations, the description must carry the full behavioral disclosure burden. It provides one meaningful behavioral clue ('Title discarded after the call'), but does not explain what happens during the check, whether a network request occurs, what is returned, or what errors/side effects 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 very short and front-loaded with the action. The second clause about discarding the title also adds behavioral value. It earns a 4 rather than 5 because the brevity is not well matched to a nine-parameter tool that needs more orientation.

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 is not complete enough for an agent to call the tool correctly: there is no output schema defining the return value, no mapping from title to an input parameter, no explanation of optional parameter behavior, and no mention of error cases. For a simple check with nine unrelated optional parameters, more context is required.

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

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

The schema has 100% description coverage, but all nine parameters are described generically and none is named as the Wikipedia title. The description never maps 'title' to any parameter, so an agent cannot know whether to pass it as query, url, ref, or something else. Schema coverage does not compensate because the schema itself fails to support 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 states a specific verb and resource: 'Check whether a Wikipedia title exists.' This makes the core purpose clear and separates it from sibling tools that check URLs, files, or statuses. It loses a point because the description never indicates which of the nine schema parameters actually supplies the title.

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 web-fetch, browser-url-ok, or search-query-len, and no mention of when not to use it. The purpose is implied, but context for selection among alternatives is completely absent.

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