ISO country LY

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

With no annotations, the description carries the full burden and it does add behavioral facts: it returns specific artifact types and says 'Task text discarded.' However, it does not disclose whether remote MCP hops are merely returned or actually invoked, whether invocation has cost implications, or what side effects, if any, 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?

Three short sentences, front-loaded with purpose, followed by return contents and a behavioral caveat. Every sentence earns its place and there is no filler.

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

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

There is no output schema and no guidance connecting the gateway-index purpose to the nine unrelated-looking optional parameters. The description does not say whether any parameter is needed, how the returned 'CLI setup'/'skill file'/'remote MCP hops' are structured, or what invoking the tool entails, leaving an agent to guess at invocation.

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

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

Schema description coverage is 100%, so the input schema already documents all nine optional parameters, including discard/validation notes. The description itself adds almost nothing about parameters beyond the cryptic 'Task text discarded,' so the baseline of 3 applies.

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

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

The description states a specific action and resource — 'Find a public pay-per-call tool gateway (Monid)' — and lists what it returns: CLI setup, how-it-works, skill file, and remote MCP hops. It is clearly distinct from the sibling validation/utility tools, though 'Monid' is not explained and no sibling is named.

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 opening sentence defines when to call the tool: when the agent needs to find the Monid public pay-per-call gateway. That is a clear use context, but the description does not name alternatives or state when not to use it, so it stops short of full routing 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?

With no annotations, the description carries the transparency burden. It discloses that no browser is launched and implies a read-only check, but it does not state whether a network request is made, how 'can be opened' is determined, or what the response looks like.

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

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

Two short, purposeful sentences. The main action is front-loaded, and the key safety qualifier follows immediately without wasted words.

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

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

The tool has no annotations, no output schema, and nine optional parameters, several apparently unrelated to URLs (city, json, ref, timezone). The description does not explain return semantics, which parameter to use, or why the broad schema exists, so it is not complete enough.

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, but the schema already documents each of the nine optional parameters, including discarding behavior, so there is no severe gap.

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 target: check whether a URL can be opened. The qualifier 'No browser is launched' sharpens the meaning and helps separate it from a sibling like playwright-url-ok, though it does not explicitly name 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 'No browser is launched' line implies this is the lightweight, non-browser option for URL checking, but there is no explicit when-to-use or when-not-to-use guidance. Sibling tools like playwright-url-ok, normalize-url, or web-fetch are never mentioned.

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

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

With no annotations, the description carries the full burden of disclosing side effects and behavior. 'Expression discarded' offers a small hint that inputs are not retained, but the description does not explain return values, errors, side effects, or how the many schema fields are treated beyond their own 'discarded' notes.

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; there is no filler. The conciseness is good, though the content is too sparse to fully compensate for the missing guidance.

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

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

For a tool with nine heterogeneous parameters, no annotations, no output schema, and no described return shape, two sentences are wholly inadequate. The agent cannot tell which parameter is the expression, what the output looks like, or what 'discarded' means operationally.

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

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

Although the schema provides descriptions for all 9 parameters, the tool description introduces an 'expression' concept that does not exist in the schema and gives no clue how parameters like city, feed, or json relate to 'a+b arithmetic'. This actively complicates parameter understanding instead of adding useful 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 concrete action ('Evaluate a+b style arithmetic') but does not connect it to any of the nine parameters in the schema, none of which is an arithmetic expression. This makes the tool's actual purpose ambiguous and potentially misleading for an agent trying to select it from the sibling shape/validation tools.

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

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

There is no guidance about when to use calc-eval versus any of the sibling tools such as validate-json, domain-shape, or timezone. The description merely says what it evaluates, with no context, exclusions, or alternatives.

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

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

The description adds a useful privacy guarantee: 'Page content is not stored.' However, with no annotations provided, it does not disclose whether the tool makes a network request, what side effects may occur, or how the additional parameters 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?

Two short sentences with no wasted words. The primary purpose is front-loaded, and the second sentence adds meaningful behavioral context about content not being stored.

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 adequate for a simple caller: it states what is returned and gives a key privacy detail. However, there is no output schema and no annotation coverage, and the description does not explain when to choose this tool over closely related siblings.

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

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

Schema description coverage is 100%, so the parameter descriptions already carry the semantic weight. The tool description adds no parameter-specific meaning beyond identifying URL as the central input.

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 clear and specific: it returns host, scheme, and HTTP status for a URL. It is not a tautology, but it does not distinguish itself from related siblings such as normalize-url or fetch-status.

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

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

No guidance is given about when to use this tool versus alternatives like web-fetch, normalize-url, or fetch-status. The description implies a narrow purpose but never states selection criteria or exclusions.

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

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

With no annotations, the description carries the burden of behavioral disclosure. It does add one meaningful behavioral trait: 'No identifiers are retained.' However, it omits what the tool returns, whether it performs network or side-effectful work, and how the classification is computed, leaving significant 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, and the main action is front-loaded. The privacy note earns its place. It is concise, though the extreme brevity contributes to some of the vagueness noted 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?

There is no output schema and no annotations, so the description should explain return behavior and invocation context, but it only says 'classified' and adds a privacy note. With nine optional parameters and no explanation of how they relate to the tool's purpose, an agent would struggle to call 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?

The description adds no parameter-level meaning, but the input schema already describes all nine optional parameters (100% coverage). Since the schema handles the semantic burden, the description's lack of parameter detail is not a major penalty.

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 ('Show...') and a resource ('this request'), but 'classified' is left undefined: it does not say what classification categories are used, what 'this request' means, or how this relates to the tool name 'compatibility'. It also does not distinguish this tool from the many sibling shape/check 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 any sibling tool, no mention of alternatives, and no exclusions. The only added sentence is a privacy guarantee, not a usage guideline.

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 state the main transformation behavior and explicitly excludes WHOIS/ownership enrichment, which is helpful. However, it does not disclose return format, network access, side effects, or error behavior.

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

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

A single, front-loaded sentence with no filler or repetition. It states the action and the key limitation in a compact, scannable way.

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

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

With 9 optional parameters, no output schema, and no annotations, a one-sentence description is not enough for reliable invocation. The description does not say which parameter to supply, what the returned labels look like, or whether the other schema fields are actually used by this tool. This leaves significant ambiguity 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?

Schema description coverage is 100%, so the schema already documents each parameter. The description adds general context about hostnames but does not explain how the eight other parameters (ref, url, city, feed, json, path, zone, query) relate to the described split-hostname behavior. Baseline 3 is appropriate because the schema handles parameter semantics, but the description does not help reconcile its narrow purpose with the broad schema.

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

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

The description uses a specific verb and resource: 'Split a hostname into labels', which clearly conveys the core operation. It also draws a boundary by saying 'without WHOIS or ownership data', helping distinguish it from enrichment-style tools. However, it does not explicitly differentiate from nearby sibling tools like normalize-url or file-path-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?

The use case is implied: an agent should use this tool when it needs to split a hostname into labels. The phrase 'without WHOIS or ownership data' hints at when not to use it, but no alternative tools or explicit when-to-use conditions are mentioned. Given the large sibling list, this is a noticeable gap.

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 behavior. It does state that a HEAD request is made and only status is returned. However, it fails to disclose that most parameters are 'discarded after shape check' and that the tool is effectively a multi-purpose validator, not just a URL status checker. 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 a single, front-loaded sentence with no filler. It is efficient and easy to parse. However, it is concise to the point of being incomplete, which mildly detracts from the structure's usefulness.

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

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

The tool has 9 optional parameters, no required parameters, no annotations, and no output schema. The description only covers the URL use case and does not explain how the other parameters should be used, what 'status' means, or what the response format is. This is inadequate for the tool's apparent 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?

The input schema has 100% parameter description coverage, with each parameter explaining its purpose and discard behavior. The description itself adds no parameter-level meaning beyond mentioning 'url', so the baseline of 3 is appropriate. The schema carries the full semantic load.

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 ('HEAD a public URL and return status only'), but this is misleading because the input schema reveals that the tool accepts many other input types (ref, city, feed, host, json, path, query, zone) and performs generic shape/status checks. An agent reading only the description would severely underestimate the tool's scope and may fail to select it for non-URL inputs.

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 siblings like browser-url-ok, web-fetch, or normalize-url. The description does not mention any context, prerequisites, or exclusions, leaving the agent to guess from the name alone.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals only that 'Path discarded', but does not state whether the tool is read-only, whether other inputs are ignored, what validation happens, or what the output shape is. This is minimal 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 very short and front-loaded with the core purpose. The second sentence adds a meaningful behavioral qualifier. It is concise without being purely tautological, although it is also under-specified in other dimensions.

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

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

Given the complex generic schema with nine optional parameters and no output schema, the description is too thin. It does not tell the agent which parameter to supply, what the successful result looks like, or what 'path discarded' means operationally. An agent would likely need additional context to call this tool correctly.

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

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

Schema description coverage is 100%, so the schema already documents each parameter's individual meaning. However, the description does not explicitly map the Figma URL input to the 'url' property among nine optional parameters, nor does it clarify how 'Path discarded' relates to the 'path' parameter. The schema baseline applies, but no added value comes from the description.

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

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

The description names a specific verb ('Parse'), a specific resource ('a Figma file URL'), and adds a behavior ('Path discarded'). This distinguishes it from broader siblings like normalize-url or fetch-status, though the exact meaning of 'parse' and what is returned is not fully spelled out.

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

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

The description implies usage when you have a Figma file URL, but gives no explicit guidance about when to choose this tool over siblings such as normalize-url, browser-url-ok, or the other shape checkers. No alternatives, exclusions, or conditions 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 provided, the description carries the behavioral disclosure burden. 'No disk access' is a useful non-destructive guarantee, but the description does not disclose the return value, what 'safe' criteria are checked, or whether it ignores unrelated parameters. This is partial transparency, not full.

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 core purpose is front-loaded, followed immediately by the key behavioral qualifier 'No disk access.'

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

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

For a tool with 9 parameters, no annotations, and no output schema, this description is under-specified. An agent still does not know the return format, which parameter(s) to provide, what criteria determine 'safe,' or how the many schema properties relate to the tool's actual purpose.

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, including 'File path to check' for the path parameter, so the baseline is 3. The description adds the idea that the check is syntactic/shape-only, but it does not clarify why the schema contains many unrelated parameters such as url, city, feed, and host.

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.' The added 'No disk access' distinguishes it from filesystem-existence checks. However, it never defines what 'safe' means, so the purpose is clear but not fully precise.

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

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

The description implies this is a lightweight, shape-only validation tool because it explicitly says 'No disk access,' but it does not name alternatives or state when not to use it. Sibling tools like browser-url-ok and normalize-url hint at related URL-checking tools, but no explicit routing guidance is provided.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions Open-Meteo as a source, implying an external dependency, but does not disclose output format, error behavior, rate limits, or that most input 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 focused sentence with no filler, and the key result (latitude and longitude) is front-loaded. It is concise, though arguably too sparse to fully support tool selection and invocation.

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, no annotations, and no output schema, but the description only explains the general purpose. It does not specify which input should be provided, what the response looks like, or how the third-party lookup behaves, leaving significant gaps for an agent.

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

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

Schema coverage is 100%, so the schema already documents all parameters, including discard behavior. The description adds no new parameter-level meaning and does not highlight that `city` is likely the operative field for this tool.

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

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

The description clearly states that the tool provides latitude and longitude for a place via Open-Meteo. It identifies the core resource and differentiates it from sibling tools like weather-hint or timezone. It lacks an explicit verb, but the intent is unambiguous.

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

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

The description gives no guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. An agent must infer from the tool name and schema that it should be used for geocoding a place name into coordinates.

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 disclosure burden. It discloses the core behavior of parsing owner and repo, but it does not describe the return format, behavior on non-GitHub or malformed URLs, or whether any validation/normalization occurs. This is adequate but has clear 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 single active sentence is front-loaded and free of filler; it earns its place. It could be slightly expanded with output and validation details without becoming bloated, so it is not a perfect 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 is simple, but with no annotations and no output schema, the one-line description is not enough. It fails to specify what the parsed result looks like, how errors surface, or which of the nine schema parameters are actually consumed. An agent would have to guess about invocation details.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds only that the URL is a GitHub URL, which maps to the url parameter, but it does not clarify how the other eight parameters relate or that they may be irrelevant. It neither substantially enhances nor contradicts 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 states a specific verb and resource ('Parse owner and repo from a GitHub URL'), which clearly identifies the tool's core job and separates it at a glance from sibling shape tools like figma-url-shape or jira-key-shape. It does not explicitly name or exclude sibling tools, so it stops short of full differentiation.

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 or when-not-to-use guidance, and no alternatives are named such as normalize-url or browser-url-ok. The intended use is only implied by the action: use this when a GitHub URL needs owner and repo extraction.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose one non-obvious trait—'Titles discarded'—which tells the agent that titles will not be part of the result. It does not clarify whether the tool performs a live network fetch, what the exact return format is, or how the unrelated optional inputs are treated.

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

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

Two short sentences, front-loaded with the key action and resource, with no filler or repetition. Every word contributes to the agent's understanding.

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 simple count tool with no required parameters, the description is nearly sufficient. However, the presence of nine seemingly unrelated optional input properties creates ambiguity about whether any argument should be supplied, and there is no output schema or annotation to clarify the return shape. A sentence stating that the arguments do not affect the count would make this 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?

The input schema covers 100% of the nine parameters with descriptions, so the baseline is 3. The tool description adds no additional parameter-level meaning; only the phrase 'Titles discarded' partially overlaps with the feed parameter's description. Since all parameters are optional, the agent can safely call the tool with no arguments, but the description does not reinforce that.

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

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

The description states a specific action ('count') and a specific resource ('current Hacker News front-page stories'), so the tool's purpose is unmistakable. 'Titles discarded' adds useful scope by signaling that the result is a count rather than a list of story titles. No sibling appears to offer the same HN front-page counting behavior.

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

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

The usage context is implied by the verb: an agent would select this tool when a count of current Hacker News front-page stories is needed. However, it does not explicitly say when not to use it or mention alternatives such as web-fetch or fetch-status, leaving some selection guidance 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says the tool contains common IANA timezone names, without explaining whether it returns a list, searches by name, or performs any other observable behavior.

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

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

The description is one short sentence with no filler, and the core noun phrase is front-loaded. It is concise, though the brevity sacrifices needed operational 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 nine parameters, no output schema, and 27 sibling tools, the description is too sparse. It does not explain how the parameters relate to the tool, what the return value looks like, or how this tool fits among related timezone/clock siblings.

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

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

Schema description coverage is 100%, so each of the nine parameters is individually documented in the schema. The description adds no parameter-level meaning, and the parameters (ref, url, city, feed, host, json, path) seem unrelated to IANA timezone names, but the high schema coverage keeps this at 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 mostly restates the tool name ('iana-zones' → 'IANA timezone names') and lacks an action verb. It hints at use for 'clock calls' but does not clarify whether the tool lists, validates, or resolves timezone names, and it is not distinguished from sibling tools like 'timezone' or 'utc-time'.

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

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

There is no explicit guidance about when to use this tool versus alternatives. 'For clock calls' implies some context, but the agent cannot tell whether to choose this over 'timezone' or 'utc-time', and no exclusions or alternative conditions are provided.

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

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

With no annotations, the description carries the burden; it does disclose that the tool performs a network read and returns only group counts. However, it does not mention error behavior for missing or malformed robots.txt, redirects, or how groups are counted, which leaves a noticeable gap for a network-fetching tool.

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

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

The description is a single, front-loaded sentence with no filler. It conveys the action, target, and output restriction in very few words, which is ideal for scanning.

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

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

For a tool with no annotations, no output schema, and 9 unrelated optional parameters, this description is too thin. It lacks any statement of expected inputs, result format, or edge-case behavior, so the overall definition is not complete enough for reliable invocation.

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

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

Although schema description coverage is 100%, the parameter descriptions are unrelated to robots.txt ('Git ref name; discarded', 'HTTPS URL to normalize or cite', 'JSON text to validate') and the top-level description gives no mapping from parameters to the target. With all 9 parameters optional, an agent cannot reliably know whether to pass host, url, or something else.

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 ('Fetch') and resource ('a public robots.txt'), and constrains the result to 'group counts only'. This clearly differentiates from generic fetch or web tools and states exactly what the tool does.

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

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

No guidance is given about when to choose inspect-robots over siblings such as web-fetch, fetch-status, or normalize-url. The word 'only' limits the output scope but does not provide when/when-not usage direction or alternatives.

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

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

With no annotations, the description carries the behavioral burden. 'Key discarded' is a meaningful privacy/disposal disclosure, and 'Check ... shape' implies a non-mutating validation, but the description does not state return values, side effects, or scope of the 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 two sentences are short and front-loaded with the core purpose; there is no filler. However, the extreme brevity is not entirely appropriate for a tool with nine optional parameters and no output 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 has no annotations, no output schema, and nine loosely related optional parameters, yet the description omits the Jira key format, the return value, and which parameter is relevant. This leaves a substantial 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?

Although schema coverage is 100%, the description introduces a 'key' that does not exist in the schema's parameters. It gives no clue which of ref, url, json, path, etc. should carry the Jira key, so the description actively misleads rather than clarifying parameter use.

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

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

The description identifies a specific verb ('Check') and resource ('Jira issue key shape'), which distinguishes it from sibling shape validators like domain-shape or github-repo-shape. However, it never maps the key onto any of the nine schema properties, so an agent cannot tell which parameter to use.

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 or when-not-to-use guidance is provided. With many shape-related siblings (domain-shape, figma-url-shape, wiki-title-ok), the description leaves the choice entirely 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 behavioral disclosure burden. It usefully states that the body is discarded, which prevents agents from expecting content, and it clarifies the output is an HTTP status. It does not disclose whether a network request is made, whether redirects are followed, or whether auth is needed, but this is a reasonable disclosure for a status-checking 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, front-loaded with the core operation and followed by the body-discard behavior. No filler words are present; the description is appropriately sized for a simple status-check utility.

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 there are no annotations and no output schema, the description must compensate, but it leaves too much unstated: which of the nine optional parameters is actually used, what 'public library docs' means, and how the result should be interpreted. Nine optional parameters and a one-line description are not enough for an agent to invoke this tool with 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?

All nine parameters have schema descriptions, so the high schema coverage sets a baseline of 3. The tool description adds no parameter-level meaning beyond the notion of a URL, leaving the relationship of the other eight parameters to this tool 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 concrete operation ('HTTP status') on a specific resource ('public library docs URL') and adds that the body is discarded. It is clear enough at a glance, but it never defines what counts as a 'public library docs URL' nor why this differs from siblings like fetch-status 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 an implicit usage context: use this when you need only the HTTP status of a library-docs URL and not the body. However, it gives no explicit when-to-use/when-not-to-use guidance and does not mention alternatives, so routing still depends on agent 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 behavioral burden. It discloses that values are ignored ('Values discarded'), which is useful, but it does not state whether nested keys are counted, how invalid JSON is handled, or what the output value is.

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 second sentence earns its place by adding the key behavioral caveat that values are 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?

The tool has nine optional parameters and no output schema, but the description does not say which parameter carries the JSON object or describe the return value/edge cases. The `json` parameter description even mentions validation rather than counting, leaving an agent guessing about how to invoke the tool correctly.

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

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

Schema description coverage is 100%, so the schema already documents every parameter and this is the baseline. The description does not explicitly map 'a JSON object' to the `json` parameter, so it adds little parameter-level meaning on its own.

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 object: 'Count keys in a JSON object.' The second sentence, 'Values discarded,' clarifies what the count ignores, which separates its behavior from validation or search siblings. It is clear, though it does not explicitly name any sibling to distinguish itself from.

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 rather than stated: an agent can infer to use this when it needs a key count and not validation. The description does not name alternatives or give when-not-to-use conditions, so it stops short of explicit routing 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?

With no annotations, the description carries the full burden. It does disclose a meaningful transformation: 'Query and fragment are dropped.' It also states the return fields. However, it does not mention that the other schema parameters are ignored/discarded, nor does it describe edge cases or return format.

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

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

The description is two short sentences with no filler. The core action and output are front-loaded, and the dropped-query/fragment behavior is stated economically. 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 description is fairly complete for a simple URL utility: it names the output fields and a key transformation. But there is no output schema, and the description does not specify the return structure (e.g., object shape) or clarify that of the nine optional parameters, only 'url' is relevant. The wide, unrelated parameter list makes this a notable 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?

Schema description coverage is 100%, so the baseline is 3. The description adds minimal parameter meaning beyond pointing at 'a URL'; it does not identify which parameter to use, though the schema's 'url' description already says 'HTTPS URL to normalize or cite.' The description gives no extra value for the other eight 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 uses a specific verb and resource: 'Return origin, host, and path for a URL.' It clearly states what the tool computes and adds the behavioral detail that query and fragment are dropped. However, it does not explicitly differentiate this tool from URL-related siblings such as browser-url-ok or figma-url-shape.

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

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

The description gives no guidance about when to use normalize-url instead of alternatives, nor does it mention that the 'url' parameter is the relevant input among the nine optional parameters. No exclusions, prerequisites, or sibling comparisons are provided.

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

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

With no annotations provided, the description carries the burden of behavioral disclosure. It does disclose one meaningful behavior: no browser is launched. Yet it omits other important behaviors such as whether a network request is made, what the return value is, or whether there are 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 two short sentences with no filler, and the core action is front-loaded. It is appropriately succinct, though it may be too terse to fully support the missing behavioral and usage 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?

Given nine optional parameters, no output schema, no annotations, and numerous sibling tools, the one-line description is incomplete. It does not explain return behavior, when to use this over alternatives, or how the non-URL parameters fit. The schema fills some gaps, but the tool-level context remains 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 schema already documents all nine parameters clearly. The description adds no additional parameter semantics and even emphasizes only 'url' while the schema supports a broader set of inputs. This matches the baseline of 3 for fully 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 clearly identifies a specific action—'Check whether a URL can be opened'—and adds a distinguishing caveat, 'No browser is launched.' This differentiates it from browser-launching siblings like browser-url-ok. However, 'opened' is somewhat ambiguous: it could mean HTTP reachability, URL syntax, or something else, which prevents 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?

The 'No browser is launched' phrase implies a lightweight, non-browser context, giving some usage signal. But no explicit when-to-use or when-not-to-use guidance is provided, and no alternative tools are named. The agent is left to infer when this is preferable to browser-url-ok or fetch-status.

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

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It adds one useful trait: 'Query discarded' implies no persistence of the query. However, it does not disclose the return format, whether other parameters are ignored, error behavior, or side effects, leaving important behavior unexplained for a tool with nine optional parameters.

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

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

The description is very concise and front-loaded: 'Count characters in a search query' immediately states the action. The second sentence, 'Query discarded,' provides a relevant behavioral note without redundancy. It is economically written, though arguably too terse for the complexity implied by the input 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?

Given nine optional parameters, no required parameters, no output schema, and no annotations, the description is not complete enough for an agent to confidently invoke the tool. It does not explain which parameter is counted, what the function returns, why the other eight string fields exist, or what 'discarded' means operationally.

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

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

Schema description coverage is 100%, so every parameter is already documented in the schema. The tool description adds little beyond that, but the `query` parameter description aligns with 'Count characters in a search query.' Because the schema does the heavy lifting, the baseline of 3 is appropriate, though the description does not clarify the primary parameter among the nine optional fields.

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: 'Count characters in a search query.' This clearly identifies what the tool does, especially when paired with the tool name. However, it does not differentiate itself from other count-like siblings such as hn-front-count or memory-key-count, and it does not explicitly tie 'search query' to the `query` 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?

There is no guidance on when to use this tool versus alternatives, no mention of expected input context, and no exclusions. The description simply restates the operation without explaining scenarios such as checking query length limits before a search API call. This leaves the agent to infer 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Catalog' weakly implies a read-only listing, but the description does not mention output format, side effects, authentication, or data handling; the 'discarded' notes appear only in the input schema, 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 short sentence with no filler and the subject matter is front-loaded. It is appropriately sized for the little content it conveys, though that content is minimal.

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 seven unrelated-looking string parameters, no output schema, no annotations, and no sibling guidance, this one-line description is completely inadequate. An agent cannot determine which parameter to pass, what the tool returns, or how the catalog is meant to be used.

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 schema descriptions, so schema coverage is effectively 100% and the baseline is 3. The description itself adds no meaning about how ref, url, city, feed, host, json, and path relate to the HTTP status-code catalog, but it does not need to compensate for missing schema documentation.

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

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

The description is essentially a noun phrase that restates the tool name: 'Short catalog of common HTTP status codes.' It names a resource but no verb or operation, and it does nothing to distinguish status-catalog from the sibling fetch-status or the various *-shape tools.

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

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

There is no guidance about when to use this tool versus alternatives. No conditions, exclusions, or sibling references are provided, so an agent cannot tell whether to call status-catalog or fetch-status for a status-code question.

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 an important behavior: the prompt is discarded, meaning the tool does not depend on or persist the user's input. However, there are no annotations to cover side effects, permissions, or external calls, and the description does not clarify whether all nine schema parameters are similarly ignored or what the three-step template actually contains. It is partially transparent but not fully.

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

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

The description is two short sentences with no filler. The first sentence states the core deliverable, and the second provides the key behavioral constraint. Every word earns its place, and the most important information is front-loaded.

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

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

For a tool that returns a fixed template, the description is minimally adequate: it states the output and that the prompt is discarded. But with 9 optional parameters, no output schema, no annotations, and 27 sibling tools, an agent would benefit from knowing that parameters are effectively ignored, when this tool is the right choice, and what the three-step template looks like. The description leaves those gaps.

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

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

Schema description coverage is 100%, so the schema already documents each parameter individually. The description adds only the high-level 'Prompt discarded' note, which is useful but does not map to the nine parameters or explain how they relate to the returned template. Baseline 3 is appropriate because the schema carries the parameter-semantics burden.

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

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

The description clearly states the action ('Return') and the deliverable ('a three-step thinking template'), so an agent knows what the tool produces. It does not name or differentiate from siblings, but none of the listed siblings obviously overlaps with returning a thinking template. The second sentence, 'Prompt discarded,' adds an important qualification.

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, and no mention of when not to use it. 'Prompt discarded' implies the input is not used, but the description does not explain a scenario like 'use this when you need a fixed reasoning scaffold' or 'do not use this for stateful thinking.' With 27 sibling tools, this lack of routing guidance is a notable gap.

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

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

No annotations are provided, so the description carries the full burden. It implies a read-only operation but does not disclose that nearly all input schema parameters appear to be 'discarded' or unrelated, nor what the response format or potential limitations are. This is a significant gap 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?

The description is a single, front-loaded sentence with no wasted words. It conveys the primary purpose efficiently, even though it omits parameter details.

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

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

Given nine parameters, no output schema, and a large set of sibling tools, this description is far too thin. It does not explain how to specify a timezone, why the listed parameters exist, what the tool returns, or how it relates to similarly named siblings. An agent could not reliably construct a correct call.

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%, the description's core concept—'named IANA timezone'—has no corresponding parameter in the input schema. None of the nine properties mention timezone, and the schema descriptions suggest most values are discarded after checks. The description adds no mapping from its core semantic to any actual parameter, making invocation ambiguous.

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

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

The description clearly states that the tool returns the current time for a named IANA timezone, which is a specific resource and differentiates it from the sibling 'utc-time'. However, it is phrased as a noun phrase rather than an explicit verb action, and it does not indicate how the timezone is provided.

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 like 'utc-time' or 'iana-zones'. There is no mention of required input format, edge cases, or exclusions, leaving the agent to infer usage.

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 burden of disclosing behavior. It only states the output and does not mention that all input parameters are ignored or used only for shape validation, nor does it describe output format or precision. The large set of decoy parameters is a behavioral surprise that the description fails to address.

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 unnecessary words. It is appropriately sized for the tool's core purpose, and every word adds value.

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

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

Although the core operation is simple, the input schema introduces seven unrelated parameters with no explanation in the description that they are irrelevant to the result. The description also fails to specify the output format (e.g., ISO 8601, epoch seconds), leaving ambiguity. Without output schema or annotations, this is insufficient 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?

The input schema provides descriptions for all seven parameters, including explicit notes that they are discarded or only checked for shape. With high schema coverage, the description does not need to repeat parameter details. However, it also adds no clarifying context about why a time tool accepts these unrelated 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 clear resource and outcome: the current UTC timestamp. It is specific about what is returned, though it lacks an explicit verb like 'returns' or 'gets'. It does not distinguish itself from sibling tools such as timezone, but the name and description together are easily understood.

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 like timezone or iana-zones. There is no mention of use cases, exclusions, or conditions that would help an agent choose between time-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?

No annotations are present, so the description carries the full behavioral burden. It only discloses that the body is discarded; it does not state whether the tool returns a boolean, throws on invalid JSON, makes external calls, or performs any other 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 only two sentences with no filler, and the primary action is front-loaded. The side-effect note about discarding the body is compact 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?

With no annotations, no output schema, and seven input properties, the description leaves too much to inference. It does not explain what the tool returns, whether only `json` should be provided, or how the other fields relate to validation, so an agent cannot fully predict invocation behavior.

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

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

The input schema provides descriptions for all seven parameters, so schema coverage is high and the baseline is 3. The description adds no parameter-level meaning and refers to a 'body' that is not actually a schema property, though it loosely maps to the `json` parameter.

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

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

The description states a specific action — checking whether a body is valid JSON — and adds a key behavior: the body is discarded. It does not explicitly map 'body' to the `json` parameter or distinguish itself from sibling shape checkers, but the core purpose is clear from the text plus the tool name.

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 the many sibling validity/shape tools, nor any mention of prerequisites or situations where it should not be used. Usage is only implied by the name and the action phrase.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a read-only external lookup, but does not clarify that only the city parameter is used, that other parameters are ignored, whether an API key or network access is needed, or what happens for unknown cities.

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

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

The description is a single, focused sentence with no filler. It front-loads the core purpose and source efficiently.

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 only covers the basic weather lookup. Missing details include which parameter to pass, expected output format (e.g., units), behavior when unrelated parameters are present, and error handling for invalid city names.

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 explains each parameter individually. The description adds no insight into which parameter is relevant for weather lookup, though 'city' is the obvious match. This meets the baseline but does not compensate for the confusing abundance of 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 clearly states the tool provides 'current temperature for a city via Open-Meteo', which gives a specific resource and data source. It does not explicitly distinguish it from sibling tools like geo-hint, but the weather focus is unambiguous enough for basic selection.

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

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

No guidance is given about when to use this tool versus geo-hint, lib-docs-hint, or other sibling tools. It also does not explain which parameter to provide or what happens if multiple parameters are supplied.

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 helpfully warns that the body is discarded and restricts use to public URLs, which is important context. It does not mention timeouts, redirects, error handling, or how non-200 responses are presented, but what is stated is accurate and relevant.

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 first, followed by the most important limitation. Every word earns its place and the key behavioral caveat is front-loaded.

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

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

The tool has nine optional parameters and no output schema, yet the description only covers the core URL-fetch behavior. It does not state which parameter to use, how the other parameters should factor into a call, or what the exact response/error shape is, leaving an agent with meaningful ambiguity when invoking it.

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

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

The schema already provides descriptions for all parameters, so the baseline is 3. The description adds little beyond hinting that the url parameter is the relevant one; it does not clarify the role of the other eight optional parameters or whether exactly one must be supplied, though their schema descriptions say they are discarded or used for shape checks.

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

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

The description clearly indicates the tool performs a network fetch on a public URL and returns HTTP status and content type, with the body discarded. It names a specific resource and outcome, so an agent knows what the tool does, though it does not explicitly differentiate it from URL-checking siblings like fetch-status 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?

The phrase 'for a public URL' and 'Body discarded' imply this is appropriate when only header-level status and content type are needed, not when the response body is required. However, the description gives no explicit guidance on when to prefer this tool over the many related siblings, and it does not mention any alternatives.

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

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

There are no annotations, so the description carries the full burden of behavioral disclosure. The phrase 'Title discarded after the call' suggests no state is preserved, but the description does not explain whether the tool performs a live lookup, what it returns, or how it handles failures. This is too little context for a tool with no annotation support.

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 with its core purpose. However, the second sentence, 'Title discarded after the call,' does not earn its place; it is vague and potentially misleading given the absence of a 'title' parameter. The compactness is good, but the added clause reduces 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?

This is a ten-parameter tool with no annotations and no output schema, yet the description identifies neither the operative parameter nor the return value. The description and schema are also in tension: the tool claims to check Wikipedia titles but provides no way to supply one. This is far below what an agent needs to invoke the tool correctly.

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

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

The schema lists ten string parameters, none of which is named 'title' or clearly mapped to a Wikipedia title. The descriptions in the schema mention unrelated concepts like city, feed, JSON, and host, and the tool description does not clarify which parameter should be passed. An agent cannot determine the correct input, making the parameter semantics effectively unusable.

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

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

The description uses a clear verb and resource: 'Check whether a Wikipedia title exists.' This distinguishes it from sibling URL, JSON, and validation tools. However, the sentence about the title being discarded adds confusion, and the schema contains no 'title' parameter, which weakens the clarity of what is actually being checked.

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 tool should be used when an agent needs to verify whether a Wikipedia title exists, which is a reasonable use case. There is no explicit guidance about when to prefer an alternative or when not to use this tool, so the usage context remains only implicit.

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