ISO country LU

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

With no annotations, the description carries the transparency burden. It does add useful disclosures: 'Task text discarded' and the list of returned items. However, it does not mention potential costs, remote calls, authentication, failure behavior, or what happens to the input parameters, leaving meaningful 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. It front-loads the primary purpose, lists expected outputs, and includes an important privacy-related caveat. Every sentence earns its place.

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

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

The tool has 9 optional parameters, no output schema, no annotations, and many siblings, yet the description does not explain how the parameters relate to finding the gateway, what the output format is, or what 'CLI setup,' 'skill file,' and 'remote MCP hops' concretely mean. An agent would struggle to know what input to provide and what to expect back.

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

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

Although schema description coverage is 100%, nearly every parameter description says the value is discarded or only used for a shape/length check. This makes the parameters semantically clear as no-ops but fails to explain how an agent should populate them to achieve the tool's stated purpose. The disconnect between the 9-parameter schema and the 'task text discarded' behavior is not resolved.

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: 'Find a public pay-per-call tool gateway (Monid)' and lists the returned artifacts. It is clear enough to distinguish this from generic fetch or validation tools, though it does not explicitly contrast it with sibling tools like web-fetch 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 guidance on when to use this tool versus alternatives, no exclusions, and no mention of which sibling tools might be more appropriate. The description implies use when looking for Monid, but leaves all routing decisions to inference.

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 reveals one useful trait—no browser is launched—but does not explain whether a network request is made, what kind of response is returned, whether any data is persisted, or what side effects might occur. This is a significant transparency gap for a tool that apparently checks live URLs.

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: the first sentence states the core purpose, and the second sentence provides a concise behavioral clarification. Neither sentence is wasted, though the brevity comes at the cost of missing important 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?

This tool has nine optional parameters, no annotations, and no output schema, so the description must compensate with substantial context. Instead it offers only one ambiguous purpose sentence and one negative behavioral clause. An agent cannot determine what result to expect, which parameter to provide, or how the check actually works, making the description completely inadequate for this tool's complexity.

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 tool description adds no parameter-level detail. The description does not explain which of the nine optional parameters matter for the URL check, nor why unrelated-looking parameters like city, feed, ref, or query exist.

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: 'Check whether a URL can be opened.' It also adds a useful distinguishing trait with 'No browser is launched,' which hints that this is not a real browser launch like playwright-url-ok. However, 'can be opened' is ambiguous—it could mean HTTP reachability, URL syntax validity, or something else—and the description does not differentiate it from overlapping siblings like fetch-status or web-fetch.

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 'use this when' or 'use this instead of' guidance. The only hint is the negative statement 'No browser is launched,' which indirectly implies a difference from browser-launching tools, but it never tells the agent when to choose this tool over alternatives such as playwright-url-ok, 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 provided, so the description must disclose behavioral traits. It only says 'Expression discarded,' which hints at non-retention but does not explain side effects, error behavior, input format, or whether evaluation has any external effects. The description carries the full burden and does too little.

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

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

The description is only two short sentences, with the main action front-loaded. There is no fluff or redundant wording. It is concise, though the second sentence is terse and ambiguous; still, it earns its place as a behavioral hint.

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 many sibling tools, yet the description explains none of the invocation context. An agent cannot determine what expression syntax to provide, how the parameters relate to the tool, or what the tool returns. This is far from complete.

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 description adds no parameter meaning and actually creates confusion: it refers to an arithmetic expression, yet none of the nine schema parameters (ref, url, city, feed, host, json, path, zone, query) plausibly represents an expression. The description does not help map inputs to the tool's stated function.

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

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

The description states a specific verb and object ('Evaluate a+b style arithmetic'), which tells the agent the intended operation. However, it is vague about what 'a+b style' covers (operators, precedence, variables) and does not explicitly distinguish from related validation tools. Overall, it gives a clear enough 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 guidance about when to use this tool versus alternatives, no mention of prerequisites, and no exclusion criteria. The sibling tools suggest various validation and shape-check utilities, but the description does not explain why calc-eval should be selected over them. Usage context is entirely absent.

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

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

With no annotations provided, the description carries the burden of behavioral disclosure. It usefully states that page content is not stored, but it does not mention side effects such as making an HTTP request, potential failures, or how it handles invalid URLs.

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

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

The description is two short sentences with no wasted words. The primary action and output are front-loaded, and the privacy note is concise and relevant.

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 states the essential return values and a key behavioral guarantee, which is minimally sufficient for a simple URL check. However, the 9-parameter schema, zero required parameters, and lack of an output schema leave the agent without explicit guidance about return format or which parameters to prioritize.

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, and the schema includes many distractor optional parameters; however, the url parameter is clearly described as the HTTPS URL to normalize or cite.

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

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

The description clearly states the tool's action and output: return host, scheme, and HTTP status for a URL. The note that page content is not stored helps distinguish it from content-fetching tools, though it does not explicitly differentiate it from 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 guidance about when to use this tool versus sibling tools such as fetch-status, web-fetch, normalize-url, or browser-url-ok. The agent must infer the intended use case from the description alone.

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

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

With no annotations, the description carries the behavioral transparency burden. The statement 'No identifiers are retained' adds useful data-handling context, but it does not disclose whether the tool performs network access, changes state, or returns a category, score, or explanation. Some behavioral details, such as 'no disk access,' appear in the parameter schema rather than the tool 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 only two sentences, front-loads the purpose, and contains no filler or redundant text. Its brevity is a strength, though it sacrifices useful explanatory detail for an unusually complex parameter set.

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 does not explain what classification output to expect or how to relate the parameters to the classification result. An agent would struggle to know what invoking this tool actually returns or which parameters are appropriate in a given context.

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

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

The input schema already describes all nine parameters and schema description coverage is 100%, so the baseline of 3 applies. The tool description adds no parameter-level meaning beyond what the schema provides.

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

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

The description says 'Show how this request is classified,' which provides a verb and identifies classification as the core action, but it never specifies what classification categories exist, what 'request' means, or how this differs from sibling tools like validate-json or domain-shape. This is a clear but vague purpose.

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

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

No guidance is provided about when to use this tool rather than any of the 27 sibling tools. There is no mention of alternatives, exclusions, prerequisites, or whether one or more of the nine optional parameters should be supplied together.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It only says 'split into labels' and 'without WHOIS or ownership data'; it does not mention the output format, error behavior, whether network/DNS calls occur, or that unrelated schema parameters are discarded.

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. The verb and resource are immediate, and the WHOIS/ownership exclusion is a useful, concise clarification.

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

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

The description is too thin given the lack of annotations, lack of an output schema, and a nine-parameter optional schema. An agent cannot tell what the tool returns, which parameter to use, or how this relates to the many sibling shape/check tools, so reliable invocation is not well supported.

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, such as clarifying that 'host' is the relevant field among the nine optional parameters, but the schema already documents each parameter adequately.

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

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

The description states a specific action and resource: 'Split a hostname into labels' and scopes out WHOIS/ownership data. This is clear and distinguishes from a WHOIS/ownership lookup, but it does not contrast with sibling URL/hostname tools like normalize-url or 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?

There is no guidance on when to use this tool versus alternatives, no exclusion criteria, and no mention of which of the nine optional parameters should be supplied. The description leaves the agent to infer the intended usage entirely.

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, and it clearly discloses the HTTP method (HEAD) and the narrow result ('status only'), implying a read-only, low-overhead call. It does not cover redirects, timeouts, or error handling, but the core behavior is transparent.

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

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

A single, front-loaded sentence with no filler: method, resource, and result are all stated directly. 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?

The tool has nine optional parameters, no annotations, no output schema, and 26 siblings, so a one-sentence description is not enough. It does not say which parameter to populate (url vs host), what the returned status format is, or when to prefer this over related tools, leaving an agent guessing.

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-level information beyond the word 'URL.' The description does not resolve the odd mismatch between 'HEAD a public URL' and the many unrelated optional parameters like city, json, zone, and query.

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'), resource ('public URL'), and output ('status only'), so an agent can tell it is a lightweight HTTP status check. It does not explicitly differentiate itself from sibling tools like browser-url-ok or web-fetch, which keeps it from a 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?

'Return status only' implies this tool is for cases where just the HTTP status is needed rather than page content, but no alternatives are named and no explicit when/when-not guidance is given. Sibling selection is left mostly to inference.

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 behavior ('Path discarded'), but says nothing about whether the URL is fetched, what the return value is, error behavior, or side effects. For a tool with no output schema, this is a substantial 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; the primary purpose appears first and the path behavior second. It wastes no words, though it is concise at the expense of needed detail.

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

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

For a tool with nine optional parameters, no required fields, no output schema, and no annotations, six words are not enough. The agent is left to guess which parameter carries the Figma URL and what a successful parse returns, especially since the schema contains many unrelated generic 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 description coverage is high (100%), so the baseline is 3; however, the description adds no mapping of the Figma URL to a specific parameter among the nine generic schema fields. 'Path discarded' merely restates the path parameter's schema description, adding no new 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 names a concrete resource ('Figma file URL') and a verb ('Parse'), so an agent can see this tool is about Figma URL shape rather than generic URL checks. It does not explain what 'parse' yields or how it differs from normalize-url or browser-url-ok, so not a 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?

There is no explicit when-to-use guidance, no exclusions, and no mention of alternatives among the sibling tools. The only hint is the tool's name and the phrase 'Figma file URL', so an agent cannot decide why it should choose this over normalize-url or playwright-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?

With no annotations provided, the description carries the full disclosure burden. 'No disk access' is a genuinely useful behavioral fact — it tells the agent the tool will not touch the filesystem, which is the one trait that meaningfully distinguishes it from filesystem-validating alternatives. But it does not disclose what 'safe' means, what the tool returns, or how to interpret the result, leaving significant behavioral gaps for a tool with zero annotation coverage.

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

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

Two short sentences with the purpose front-loaded and zero filler — every word earns its place. The structure is exemplary, but the brevity is so extreme relative to the tool's 9-parameter, no-output-schema complexity that it edges into under-specification. A 4 rather than 5 because the economy costs essential detail.

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

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

Given nine parameters, 28 siblings, no annotations, and no output schema, the two-sentence description is far from complete. It never states the return shape, the definition of 'safe', or which schema parameters actually apply, and it leaves the massive schema/description mismatch unexplained. An agent cannot reliably know how to invoke this tool correctly from this definition.

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

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

Parameter descriptions are self-explanatory and achieve 100% coverage, which would normally warrant a baseline of 3. But eight of the nine parameters describe behavior foreign to a path-safety check (city weather hints, IANA zones, RSS feeds, JSON validation, Git refs), and the description does nothing to reconcile or disambiguate them. An agent could plausibly pass a URL or timezone and get arbitrary behavior, so the description adds no parameter-level 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 verb and resource — 'Check whether a path looks safe' — and adds a clear scope constraint ('No disk access'). It is distinguishable from URL-oriented siblings like browser-url-ok or normalize-url by its focus on file paths. However, the 9-parameter schema is dominated by unrelated operations (weather hints, timezones, RSS feeds, JSON validation), which muddies what the tool actually does despite the clean phrasing.

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 names no alternatives. 'No disk access' implies a lightweight shape check, but with 28 siblings including wiki-title-ok and browser-url-ok, an agent gets no help routing to this tool versus a sibling. The implied use case is too thin to count as real guidance.

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

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It reveals the Open-Meteo dependency and output type, but says nothing about error behavior, live API calls, or how the nine schema parameters are treated 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 a compact one-liner with no filler and the core purpose front-loaded. It is somewhat under-specified, but that deficiency is better attributed to contextual completeness than to poor conciseness or structure.

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, no annotations, nine optional parameters, and many sibling tools, a single sentence is insufficient. An agent cannot determine which parameter to supply, what the return format is, or how this tool differs from weather-hint and timezone.

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; it never mentions the 'city' field or any other parameter, leaving the mapping from 'a place' to the schema implicit.

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

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

The description states the tool returns latitude and longitude for a place via Open-Meteo. This is a reasonably clear purpose and distinguishes it from weather-hint, though it omits an explicit verb and does not name the specific input 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 guidance is given on when to use geo-hint instead of sibling tools such as weather-hint or timezone. The description implies the tool is for places, but it does not state which parameters are relevant, how the tool relates to alternatives, or what prerequisites exist.

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 states the parsing operation but does not disclose return format, invalid-input behavior, or that most schema parameters appear to be ignored or discarded.

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 identifying the operation.

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

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

With nine optional parameters, no output schema, and no annotations, the description is too thin. It leaves unclear the output shape of owner/repo, which parameter to supply, and how errors or invalid URLs are handled.

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 GitHub-specific reading to the generic 'url' property but does not explain parameter requirements or why the schema contains eight other unrelated optional parameters.

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

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

The description names a specific verb ('Parse'), a concrete resource ('owner and repo'), and the input domain ('GitHub URL'). It clearly distinguishes this from sibling tools like figma-url-shape and jira-key-shape by naming GitHub.

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 the trigger: use it when owner and repo need to be extracted from a GitHub URL. However, it gives no explicit when-not-to-use guidance and names no alternatives such as 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?

Annotations are absent, so the description carries the full burden. It discloses 'Titles discarded' as one behavioral trait, but omits that the tool likely performs a live network fetch, what the output format is, and whether any of the nine input parameters affect the result. This is a thin disclosure for a tool with no annotation safety 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?

Two short sentences with no filler; the core purpose is front-loaded and 'Titles discarded' earns its place by narrowing the expected output. This is appropriately compact for a simple counting 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 nine optional parameters and no output schema, the description is too thin. It does not specify the return type, the live-fetch dependency, or whether the parameters are ignored, leaving an agent uncertain about how to invoke it correctly despite the schema's per-parameter descriptions.

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 it does not clarify whether any parameter is used or all are decoys. It neither helps nor hurts beyond what the schema already provides.

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 ('Count') and resource ('current Hacker News front-page stories'), and clarifies output scope with 'Titles discarded.' This is clear and narrowly scoped, but it does not explicitly differentiate from sibling tools or clarify the role of the many 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?

Provides no guidance on when to use this tool versus alternatives like web-fetch, fetch-status, or normalize-url. It also does not say whether the feed parameter is relevant or whether all parameters can be ignored, so an agent has no basis for choosing this over a sibling.

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 reveals nothing about side effects, read-only status, return behavior, or why the many input parameters exist. The schema notes that several values are 'discarded,' but the tool description itself gives 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?

It is short, but under-specification is not conciseness. The single sentence avoids fluff yet fails to include an action verb or any clue about the tool's interface, making it minimally 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?

There is no output schema, no annotations, and nine optional parameters, so the description needs to explain what the tool returns and how to interact with it. This description provides almost none of that context, leaving an agent unable to confidently select or invoke the 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 baseline is 3 even though the tool description adds no parameter guidance. However, the parameters (ref, url, city, feed, host, json, path) appear unrelated to 'IANA timezone names,' and the description does nothing to resolve that mismatch.

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

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

The description is a noun phrase rather than a verb+resource statement; 'Common IANA timezone names for clock calls' does not say what the tool does with those names. It also largely restates the tool name and does not distinguish it from nearby siblings like timezone or utc-time.

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

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

The phrase 'for clock calls' gives a hint of intended context, but there is no explicit guidance on when to choose this tool over timezone or utc-time. No alternatives or exclusions are mentioned.

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

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

With no annotations, the description carries the behavioral disclosure burden. It states that the tool performs a network fetch of a public resource and returns only group counts, but it does not explain failure behavior, the structure of 'group counts,' or edge cases like missing or invalid robots.txt files.

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?

A single, front-loaded sentence with no filler. Every word contributes: target resource, public scope, and return constraint.

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 never maps the robots.txt URL to a specific parameter or describes the expected return shape beyond 'group counts only.' An agent cannot confidently construct a correct call without guessing which parameter is relevant.

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-level detail. The description also fails to identify which of the nine optional parameters (url, host, path, etc.) supplies the robots.txt target, leaving parameter selection ambiguous.

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

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

The description names a precise action and resource: 'Fetch a public robots.txt' and constrains the return value to 'group counts only.' This clearly distinguishes it from generic siblings like web-fetch and 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?

Usage is implied: an agent should use this when it needs robots.txt group counts. However, the description names no alternative tools and gives no explicit when-not-to-use guidance, so the agent must infer selection from the sibling list.

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 disclosure burden. It reveals that the key is discarded ('Key discarded.'), implying a non-persistent check. However, it does not describe return values, error behavior, or whether the tool is strictly read-only beyond the discard note.

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 zero fluff. The core action is front-loaded, and every word earns its place—no filler or redundant restatement.

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 schema is complex and includes many seemingly unrelated parameters (city, feed, host, json, path), but the description gives no guidance on which are required or what the response looks like. There is no output schema, so an agent must infer that only 'ref' matters, which is ambiguous.

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

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

The schema provides descriptions for all 7 parameters, notably 'ref' ('Git ref name; discarded after the shape check') which identifies the input relevant to the shape check. The description itself adds no additional parameter meaning beyond what the schema already states.

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

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

States a specific verb ('Check') and resource ('Jira issue key shape'). The 'Jira' qualifier distinguishes it from sibling shape tools like github-repo-shape and domain-shape, making the purpose 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?

No guidance on when to use this tool vs. alternatives. There is no mention of context, exclusions, or how it relates to other validators such as validate-json or wiki-title-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?

With no annotations at all, the description must carry the full burden of behavioral disclosure. It does add one useful trait: 'Body discarded,' which tells the agent the response will not contain page content. But it does not disclose whether a network request is made, how errors or timeouts are handled, whether redirects are followed, or whether the operation has side effects. For an HTTP-related tool, this is insufficient.

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

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

The description is very short and front-loads the core function and body-discarding behavior in two sentences with no filler. However, for a tool with nine parameters and no annotations, this brevity crosses into under-specification rather than effective conciseness. It is well-organized but not appropriately sized for the complexity involved.

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 lack of annotations and output schema, the description must explain return semantics, which parameter to use, and how this differs from sibling fetch/status tools. It only covers the URL case, leaving the other eight parameter paths unexplained, and never defines what 'hint' means or how the HTTP status is obtained. The description is incomplete for reliable tool 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?

The input schema covers all nine parameters with individual descriptions, so the baseline is 3. The tool description itself only mentions URL and does not explain how city, feed, host, json, path, zone, query, or ref relate to returning an HTTP status. The schema compensates for parameter-level meaning, but the description adds no additional 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 operation: returning an HTTP status for a public library docs URL, and adds 'Body discarded' as a scoping detail. It clearly identifies the resource type and does not merely restate the tool name. However, it lacks an explicit verb like 'get' or 'check' and does not differentiate from siblings such as fetch-status or web-fetch beyond the 'library docs' qualifier.

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, web-fetch, browser-url-ok, or normalize-url. The description offers no conditions, exclusions, or sibling references. The only implicit signal is the 'public library docs' phrase, which is too weak to route an agent reliably.

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 disclosure. It does disclose that values are discarded, which hints at a side-effect-free counting operation, but it does not state return format, handling of invalid JSON, or whether all 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?

Two short, front-loaded sentences with no filler. The core action and the key behavioral qualifier both appear immediately.

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 parameters, no annotations, and no output schema, this description is too thin. It does not tell the agent which parameter to populate, what the return value looks like, or how invalid JSON is handled, so a correctly informed call is not guaranteed.

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 carries most of the parameter burden. The description adds 'count keys' and 'values discarded,' but leaves ambiguous which of the nine parameters is the JSON object to count and whether the others are simply 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 names a concrete operation ('Count keys') and a clear resource ('a JSON object'), and 'Values discarded' distinguishes it from validation/retrieval tools. It is not a 5 because the actual JSON input is not explicitly named and the schema includes many unrelated 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?

No guidance on when to use this tool versus validate-json or other siblings; no exclusions or alternative routing. The only contextual hint is 'Values discarded,' which is not enough to choose among the listed 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?

There are no annotations, so the description carries the behavioral burden. It does disclose an important transformation: query and fragment are dropped, and only origin, host, and path are returned. However, it does not clarify that the many extra schema parameters appear to be decoys/ignored, nor does it state failure behavior or whether any network access occurs.

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

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

The description is two short sentences with no wasted words. It front-loads the core output behavior and immediately states the exclusion behavior, making it easy for an agent to parse quickly.

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 parameters and no output schema, yet the description is very thin. It does not identify the 'url' parameter as the one that matters, does not define the exact shape of the returned origin/host/path, and does not explain why so many unrelated fields exist. The schema partially compensates, but the overall definition is not complete enough for confident 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 itself adds little parameter-level meaning, only mentioning URL and the dropped query/fragment. It does not clarify the confusing relationship between the 'host' and 'path' input fields and the 'host' and 'path' values returned by the tool.

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

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

The description clearly states the verb ('Return'), the resource ('origin, host, and path for a URL'), and a key behavioral rule ('Query and fragment are dropped'). This distinguishes it from siblings like browser-url-ok or web-fetch, which check or fetch rather than normalize and extract components.

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. With sibling tools such as browser-url-ok, web-fetch, and fetch-status present, the description offers no explicit condition or exclusion to help an agent choose it. The use case is only implied by the name and first sentence.

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 is the only source for behavioral disclosure. It does state that no browser is launched, which is useful, but it omits whether an HTTP/network request is made, what 'opened' means, what the return value is, and any error/timeout behavior. This is a significant gap for a check tool.

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

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

Two short sentences with no filler; purpose is first and the browser disclaimer is a valuable, non-redundant second sentence. This is appropriately concise.

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 underspecified for a tool with no output schema and no annotations: an agent cannot tell what result it will get (boolean? status?), what network behavior to expect, or why the schema includes nine optional parameters. It provides enough for a first guess but not 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?

The input schema describes all 9 optional parameters, so the description need not repeat them. The description adds no parameter-level semantics beyond the schema, and the unusual mix of discarded fields (ref, city, query, etc.) is left unexplained, but that gap is already covered by parameter 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 names a clear action and object ('Check whether a URL can be opened') and adds a meaningful constraint ('No browser is launched'). However, 'can be opened' is left undefined—it could mean syntax validation, DNS/network reachability, or HTTP success—so it only partially distinguishes this from fetch-status or web-fetch.

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 choose this tool over browser-url-ok, fetch-status, or web-fetch, and no mention of alternatives. The only hint is the exclusion of browser launch, which weakly implies it is for lightweight checks, but not enough to route an agent correctly.

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 useful behavioral fact, 'Query discarded', implying the input is not retained, but it does not disclose the return format or how the unrelated schema fields are handled.

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 compact sentences with no filler, and the core purpose is front-loaded. Both sentences earn their place by stating the operation and the disposal behavior.

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

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

Despite a nine-parameter schema and no output schema or annotations, the description is minimal. It does not explain the return value, which parameter should be populated, or why the other fields are present, leaving the invocation behavior under-specified.

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 adds no additional parameter-level meaning. The schema's 'query' field description aligns with the tool's purpose, but the description does not clarify the role of the other eight optional parameters.

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

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

The description states a specific operation, 'Count characters', on a concrete resource, 'a search query', which aligns with the tool name. It does not explicitly differentiate from sibling tools, but the verb+resource pair is enough to convey 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?

No when-to-use guidance is provided: the description does not mention alternatives, conditions, or which of the nine schema parameters is actually relevant. An agent is left guessing whether to pass 'query' alone or also supply one of the other string fields.

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, and it provides almost none. It doesn't state that the tool is read-only, deterministic, or what it returns, and it never explains that many input parameters are simply discarded; calling it a 'catalog' doesn't tell the agent what side effects or assumptions exist.

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

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

The description is only eight words, but this is under-specification rather than efficient concision. It front-loads a noun phrase that adds little beyond the tool name, so the brevity does not meaningfully help an agent decide to use it.

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 return-value description, and no explanation of how the eight parameters relate to the catalog. An agent cannot tell what output to expect, whether parameters select anything, or whether this tool even performs an operation, leaving the definition materially 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?

The input schema documents all eight parameters, so the baseline is 3 even though the description adds no parameter-level meaning. The description also fails to reconcile the schema's odd mix of 'discarded after' parameters with the stated catalog purpose, but the schema itself already provides those discarding 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 is a noun phrase, 'Short catalog of common HTTP status codes,' which mostly restates the tool name rather than expressing a specific action. It doesn't say whether the tool returns a list, looks up one status, or operates on a given code, and it fails to distinguish the tool from siblings 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?

No guidance is given about when to use status-catalog versus alternatives such as fetch-status, web-fetch, or validate-json. The phrase 'short catalog of common HTTP status codes' weakly implies a reference lookup, but there are no explicit conditions, exclusions, or alternative recommendations.

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?

Because no annotations are provided, the description carries the behavioral disclosure burden. 'Prompt discarded' is a meaningful trait: it tells the agent that the prompt content is not used, reducing concerns about leakage or dependence on input. This is valuable context, though it could have gone further by explicitly stating that all input parameters are ignored and that the tool has no 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 extremely concise: two short sentences with no filler. The primary purpose is front-loaded in the first sentence, and the discarded-prompt behavior is stated in the second. It is efficient, though slightly terse given the tool accepts nine optional parameters.

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

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

The description is minimally viable: an agent can infer that calling the tool with no arguments returns a three-step template. However, it does not explain why the nine optional parameters exist, whether they affect the output, or what the template actually contains. With no output schema and no annotations, this leaves meaningful gaps for an agent trying to determine correct invocation and interpretation.

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 already carry detailed semantics. The tool description adds little per-parameter meaning, only the general note that the prompt is discarded. This meets the baseline for a high-coverage schema but does not go beyond it.

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: 'Return a three-step thinking template.' It is specific enough for an agent to know exactly what the tool produces. The 'Prompt discarded' note also helps set expectations that this is not an analysis or generation tool, distinguishing it from the 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 explicit guidance on when to use this tool versus alternatives, nor any mention of appropriate contexts or exclusions. The description implies it is for obtaining a thinking template, but it does not state when an agent should invoke it or why it might be preferred over other tools.

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

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

With no annotations, the description carries the behavioral burden. 'Current time' implies a read-only, stateless operation and the schema parameter descriptions mention values being discarded, which supports that. However, the description does not disclose the returned time format, handling of invalid timezone names, or whether the operation can fail.

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?

A single sentence with no fluff and the core operation is front-loaded. It is appropriately brief for a simple read tool, though it is terse enough that some behavioral and usage context is missing.

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 100%-described schema, the tool has no annotations and no output schema, and the description does not connect the behavior to the relevant zone parameter, mention that the other schema properties are unrelated, or explain the return value. An agent has to infer the intended usage from the schema 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 schema already documents every parameter, including zone as an IANA timezone name. The description adds no extra meaning beyond the schema and does not clarify which of the nine properties is relevant for this tool.

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

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

The description names a specific operation and resource: it returns the current time for a named IANA timezone. It is distinguishable from sibling tools like utc-time and iana-zones, though it does not explicitly compare itself to them.

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 rather than utc-time, iana-zones, or other sibling tools. The description also does not state that the zone parameter should be supplied or that it should be preferred over the many other optional parameters in the schema.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It states the output but does not mention that all seven input parameters are effectively discarded or irrelevant, nor does it clarify side effects or return format. The unrelated schema makes this omission more confusing.

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, front-loaded sentence with no fluff. It earns its place, though it is arguably too terse to address the confusing schema.

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

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

The tool is simple, but the description fails to reconcile the seven unrelated input parameters with its stated purpose. There is no output schema and no explanation of how parameters factor into invocation, leaving an agent uncertain about what arguments, if any, to pass.

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 seven parameters with descriptions, including their 'discarded' behavior, so the schema coverage is high. The description itself adds no additional parameter semantics, which is acceptable given the baseline of 3 for schema-covered parameters.

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

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

The description 'Current UTC timestamp.' clearly states the tool returns the current UTC time, so the core purpose is identifiable. However, it lacks a verb, does not distinguish this tool from sibling time-related tools like timezone or iana-zones, and the input schema contains seven unrelated parameters that muddy the apparent purpose.

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

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

No guidance is provided about when to use this tool versus alternatives such as timezone or iana-zones. The description gives no context for selection, no exclusions, and no indication that the listed parameters are irrelevant for typical use.

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. It discloses that the body is discarded, which is useful, but it does not explain what the tool returns, what happens for invalid JSON, or what 'valid' means (syntactic validity vs. schema validation). The main behavioral contract is underspecified.

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 the primary action front-loaded and no redundant filler. The discard behavior is stated efficiently. The description earns its place without unnecessary detail.

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

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

With no output schema and no annotations, the description needs to explain expected results and invocation context. It does not state what the agent will receive back, how to choose among the seven parameters, or how validity is determined. An agent would likely need additional information before calling this tool confidently.

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

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

All seven parameters have descriptions in the input schema, so the schema carries most of the parameter-meaning burden. The tool description adds little beyond the schema and introduces potential ambiguity by referring to a 'body' rather than mapping directly 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 operation: checking whether a body is valid JSON. It identifies the resource clearly. It does not explicitly distinguish itself from sibling shape-check tools, but the JSON-specific target makes the purpose reasonably distinct.

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 say when to use this tool instead of alternatives like domain-shape, wiki-title-ok, or other validation tools. There is no mention of exclusions, fallback tools, or conditions that should lead an agent to select this tool.

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

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

With no annotations provided, the description carries the full behavioral burden, but it only says 'via Open-Meteo' and does not disclose network dependency, read-only nature, error behavior, units, or that non-city parameters are discarded. The schema hints at discarding, but the description itself does not.

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

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

The description is one compact sentence with no filler. It front-loads the core function and data source, making it highly concise.

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, a one-sentence description is insufficient. It does not state that city is the meaningful parameter, whether city is required, what temperature unit is returned, or how failures are surfaced, so an agent could invoke it with no arguments or the wrong argument.

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 schema already documents each parameter. The description adds only that a city is involved and does not clarify which of the nine optional parameters should be populated or that the others are ignored.

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

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

The description clearly identifies the tool as returning current temperature for a city and names the data source (Open-Meteo). It lacks an explicit verb like 'Returns', but the intent is unambiguous and distinct from the 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 intended use is implied: choose this tool when you need the current temperature for a city. However, it does not state when not to use it, does not mention alternatives like web-fetch, and does not clarify that only the city parameter matters despite the nine-parameter schema.

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 usefully discloses that the body is discarded, which has safety and size implications, but it omits redirects, timeouts, authentication, response format, and network side-effect details.

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 core behavior and the body-discarded caveat are front-loaded, and every word adds information.

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, this is too sparse. It does not explain which parameter to invoke, what the response shape is, or when to prefer it over similar sibling 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%, so the baseline is 3. The description identifies URL as the relevant resource but does not clarify how to choose among the nine optional parameters or state which parameter drives the fetch.

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 concrete capability: HTTP status and content type for a public URL, with the body discarded. This distinguishes it from a body-returning fetch, but it does not differentiate it from the similarly named sibling 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?

The phrase 'for a public URL' implies scope, and 'Body discarded' implies this is for status-only checks. However, there is no explicit when-to-use guidance or routing versus siblings like fetch-status 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 annotations already declare readOnlyHint=true and destructiveHint=false, so the description does not need to restate safety. The added note 'Title discarded after the call' provides a small behavioral detail about data retention. However, it does not disclose expected output/return behavior, which is more valuable given no output schema.

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

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

The description is a single sentence with no filler, front-loading the main action and then adding the discard note. Every word earns its place, and the structure makes the tool's purpose immediately scannable.

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 12 parameters and no output schema, yet the description only gives a minimal purpose statement. It does not explain which parameter is central, how the result is returned, or how this tool relates to the many similarly named sibling tools, leaving the agent with significant gaps in knowing how 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?

Input schema coverage is 100%, with each parameter already carrying a description. The tool description adds no parameter-level meaning beyond what the schema provides, so 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 verb and resource: 'Check whether a Wikipedia title exists.' It clearly communicates the tool's core purpose. However, it does not distinguish this tool from sibling shape-check tools or explain why this one is specifically for Wikipedia title existence.

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 implied usage is clear: use this when you need to verify whether a Wikipedia title exists. There is no explicit guidance about when NOT to use it, no mention of alternatives, and no exclusion criteria, but the purpose is self-evident from the description and tool name.

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