ISO country MG

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

With no annotations, the description carries the behavioral burden. It usefully discloses that 'Task text discarded' and that the call returns documentation-like artifacts. However, it does not state whether the tool is read-only, makes network calls, requires authentication, or what happens when multiple parameters are supplied.

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 three sentences and every sentence earns its place: what it finds, what it returns, and a privacy-relevant behavior. It front-loads the primary purpose before listing outputs.

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 the concise wording, the tool is not fully specified: there are 9 optional parameters, no output schema, no annotations, and a large sibling set, yet the description does not explain how to choose parameters or what the returned artifacts look like. The odd disconnect between the description and the schema's generic parameters makes the definition incomplete for reliable invocation.

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

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

Schema description coverage is 100%, so per-parameter meaning is already provided by the schema. The tool description adds no cross-parameter guidance, such as which of the nine optional parameters is relevant or how parameters map to the returned 'CLI setup' or 'remote MCP hops.' Baseline 3 applies because the schema carries the parameter documentation burden.

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

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

The description states a specific verb and resource: 'Find a public pay-per-call tool gateway (Monid),' and lists concrete return items such as 'CLI setup, how-it-works, skill file, and remote MCP hops.' It is clear about the tool's general function, though it does not compare against sibling tools or explain what 'Monid' is.

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

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

The description gives no guidance on when to use this tool instead of the many sibling tools, nor does it mention any prerequisites or expected inputs. 'Find' implies discovery, but there is no explicit context like 'use when you need the tool gateway index' or 'use instead of web-fetch.'

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 behavior. It does state a non-obvious trait: no browser is launched. But it does not explain what 'can be opened' means operationally, whether a network request is made, how errors are handled, or what happens to the various input parameters. This is too thin 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, front-loaded with the core action, and contains no filler. The second sentence earns its place by preempting a likely assumption about launching a browser. It sacrifices depth for brevity, but as a concise statement it is well structured.

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

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

For a tool with nine parameters, no annotations, no output schema, and many closely related siblings, this description is incomplete. It does not explain expected inputs, return values, side effects beyond not launching a browser, or how it relates to web-fetch and playwright-url-ok. An agent cannot confidently select and invoke this tool correctly from the description alone.

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

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

Schema description coverage is 100%, so the schema already documents all nine parameters. The tool description adds no parameter-level meaning beyond that. It also does not clarify which parameters are relevant to the URL check versus those that appear discarded, leaving the agent to rely on the schema descriptions alone.

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 URL can be opened.' The clarifying second sentence, 'No browser is launched,' helps distinguish it from browser-based tools like playwright-url-ok. However, it does not fully differentiate it from other URL-related siblings such as web-fetch, fetch-status, or normalize-url.

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

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

There is no explicit guidance on when to use this tool instead of alternatives. 'No browser is launched' gives one exclusionary clue, but the description never mentions conditions, comparison to siblings, or scenarios where this check is preferred. Given the large sibling set, an agent would have to infer usage from the name alone.

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

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

With no annotations, the description must disclose behavior; it offers one note ('Expression discarded') but omits what the tool actually returns, whether it is a pure calculation, and what side effects if any. The phrase is also ambiguous because evaluation suggests a result while 'discarded' suggests no retained input.

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

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

The description is short and front-loaded, with no filler. However, for a tool with nine parameters and no annotation support, two sentences are under-specified rather than 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 definition is severely incomplete: no output schema, no annotations, no explanation of the return value, and no connection between the stated arithmetic behavior and any parameter. An agent cannot decide how to invoke calc-eval correctly or interpret its result.

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

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

Although every parameter has a schema description (100% coverage), the description fails to map the arithmetic expression to any of the nine parameters. The schema fields are all URLs, refs, paths, JSON, city names, and zones, so an agent cannot determine how to supply the 'a+b' expression.

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

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

The description names a specific action ('Evaluate a+b style arithmetic'), which is more than a tautology, but it is under-specified: it does not say which input field carries the expression, and the schema contains nine unrelated optional parameters. It also does not differentiate calc-eval from sibling tools such as validate-json or search-query-len.

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 calc-eval over another tool or what conditions call for it. The description only restates the function; there is no when/when-not or alternative mentioned.

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

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

The statement 'Page content is not stored' is a meaningful behavioral disclosure, especially with no annotations present. However, it does not address whether the tool makes a live network request, follows redirects, or has other side effects, leaving some 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?

Two short sentences, front-loaded with the action and output, followed by the privacy-relevant note. There is no filler or redundant wording.

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

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

The description covers the primary return values and a key privacy guarantee, which is enough for a simple URL call. However, with no output schema and a large parameter surface, it leaves unclear how the many discardable parameters interact and what a full response looks like.

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

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

Schema description coverage is 100%, so the parameter descriptions already carry the necessary meaning. The tool description adds little beyond naming 'URL' as the relevant input, so it does not exceed the baseline.

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

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

The description names a concrete operation: return host, scheme, and HTTP status for a URL. It also adds a useful qualifier about page content not being stored. However, it does not explicitly distinguish this 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?

There is no guidance about when to use this tool versus alternatives such as fetch-status, web-fetch, or normalize-url. The description states what it returns but gives no context, exclusions, or alternative references.

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 does disclose a meaningful privacy guarantee ('No identifiers are retained'), and the parameter descriptions reinforce a discard/stateless behavior. However, it does not explain what happens during classification, whether any external action is taken, or what the response contains.

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-loads the purpose, and the privacy sentence is relevant. However, for a tool with nine optional parameters and no output schema, the description is under-specified rather than efficiently complete.

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

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

Given no annotations, no output schema, and nine semantically diverse parameters, the description does not explain return value, classification criteria, or how the tool fits into the sibling set. An agent cannot confidently predict what will happen when calling this 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 each parameter is already documented individually in the schema. The tool description adds no cross-parameter or classification-specific meaning, but the schema carries enough of the load to justify the baseline score of 3.

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 has a verb ('Show') and an object ('how this request is classified'), so it is not a pure tautology. However, it never defines what 'classified' means, what the classification categories are, or what output the agent should expect. 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 when-to-use guidance, no exclusion criteria, and no mention of alternatives. With 27 sibling tools, an agent receives no help deciding whether to call compatibility instead of a more specific tool like validate-json, domain-shape, or normalize-url.

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

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

With no annotations, the description carries the full behavioral burden. It only reveals that no WHOIS/ownership data is included; it does not disclose side-effect freedom, error behavior, whether non-host parameters are ignored, or what happens for invalid hostnames.

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?

One tight sentence with no filler. The core action is front-loaded and the exclusion 'without WHOIS or ownership data' earns its place.

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

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

For a tool with 9 parameters, no required fields, no annotations, and no output schema, this description is too thin. It does not specify the expected input parameter, the format of the returned labels, or error/edge-case behavior, so an agent must infer too much.

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 9 parameters with 100% coverage, so the baseline is 3. The description adds no explicit mapping to the 'host' parameter, but the phrase 'hostname' and the schema's 'Public hostname' description make the likely parameter inferable.

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: 'Split a hostname into labels', which clearly distinguishes domain-shape from sibling validators such as file-path-ok or jira-key-shape. The phrase 'without WHOIS or ownership data' adds a useful scope boundary. However, it does not say how the hostname is supplied or what 'labels' means in the return value.

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 wording implies this tool is for purely syntactic hostname splitting and explicitly rules out WHOIS/ownership enrichment, offering a mild usage boundary. But it never names alternatives or states conditions such as 'use when you only need label splitting; use a lookup tool if you need ownership.'

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

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

With no annotations, the description carries the burden, and it does disclose the HTTP method (HEAD), the public scope, and the status-only output. It does not clarify how the many schema parameters behave, what 'status' means, or whether the tool performs network requests for every input.

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

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

The description is one tight, front-loaded sentence with no filler. It is concise, though the brevity leaves important schema context unaddressed.

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

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

For a tool with nine optional parameters, no output schema, and no annotations, a single sentence is insufficient. It does not explain which parameter to supply, what output shape to expect, or how it relates to the sibling URL tools.

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

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

Schema description coverage is 100%, and the schema already documents each parameter with notes like 'discarded after the shape check.' The tool description adds no parameter-level meaning beyond calling the URL public, 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 ('HEAD a public URL and return status only') and implies a distinction from content-fetching siblings like web-fetch. However, the input schema exposes nine heterogeneous parameters (ref, city, feed, json, path, zone, query), so the URL-only framing does not accurately describe the tool's full surface.

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 fetch-status versus sibling URL-checking tools such as browser-url-ok, playwright-url-ok, or web-fetch. 'Return status only' hints at a lightweight check, but the description never states exclusions, prerequisites, or selection conditions.

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 disclosure burden. It only reveals that the path is discarded; it does not explain whether parsing validates, extracts, mutates, what the return value looks like, or how invalid URLs are handled. For a 9-parameter tool, this is insufficient behavioral disclosure.

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

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

The description is very short and front-loads the essential purpose in the first sentence. The second sentence adds a behavioral detail, though its exact referent is ambiguous, which prevents a 5.

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

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

The tool has high complexity: 9 optional parameters, no output schema, and no annotations, yet the description is only one sentence. Missing parameter-selection guidance, behavior details, and return information make it under-specified for reliable autonomous use.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds little beyond the schema and does not identify which of the 9 optional parameters is the Figma URL, though the `url` parameter is inferable from its name. The 'Path discarded' note is largely redundant with the `path` parameter's own schema description.

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

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

The description names a specific verb ('Parse') and resource ('a Figma file URL'), which distinguishes it from sibling shape tools like github-repo-shape or jira-key-shape. The second clause 'Path discarded' is somewhat ambiguous, so it does not earn a 5, but the core purpose is clear.

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

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

The description implies this tool is for Figma URLs, but it never explicitly states when to prefer it over alternatives or when not to use it. There are no exclusions or alternative tool references, leaving usage context mostly implicit.

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

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

Annotations are absent, so the description carries the behavioral burden. It usefully discloses 'No disk access' and the word 'looks' signals a syntactic/heuristic check rather than real filesystem verification. However, it does not define what 'safe' means or describe the return/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?

Two short sentences, both informative. The core purpose is front-loaded, and 'No disk access' is a valuable behavioral qualifier with no 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?

There is no output schema and no usage guidance, and the input schema is surprisingly broad for a tool called file-path-ok. An agent still has to guess about the response shape, which parameter to supply, and why the other parameters exist. The description does not fully compensate for these 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 baseline is 3 even without parameter details in the description. The description adds a 'safe' security framing for the path parameter, but the schema contains nine unrelated-looking optional parameters, and the description does not explain how they relate to path checking.

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

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

The description clearly states a specific action and object: 'Check whether a path looks safe.' This distinguishes it from URL-based sibling tools. It loses the 5 because it does not explicitly name or contrast with any sibling tool.

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 choose this tool instead of alternatives like browser-url-ok, normalize-url, or wiki-title-ok. The phrase 'Check whether a path looks safe' implies a use case, but no exclusions, prerequisites, or alternative routing 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 full burden, but it only mentions the provider and output value. It does not disclose that this appears to be an external network call, what happens to inputs, or any side effects or requirements. The schema's repeated 'discarded after...' notes make the behavior even less clear relative to the geo-hint purpose.

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

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

The single sentence is tight and front-loaded, with no filler. However, for a 9-parameter tool with no output schema and no annotations, this brevity veers into under-specification rather than effective concision.

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 definition is inadequate for correct invocation. It does not identify the relevant parameter, the expected return format for latitude and longitude, or the role of the other eight schema fields. No annotations or output schema compensate for this absence.

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 mapping and the schema descriptions are misaligned: 'city' is described as a 'public weather hint' and most parameters are 'discarded after' checks, while the description promises latitude/longitude for a place. An agent cannot tell which of the 9 parameters is the place 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 at a glance: the tool provides latitude and longitude for a place, presumably via Open-Meteo geocoding. It lacks an explicit verb but the resource and provider are identifiable. It does not differentiate from siblings such as weather-hint, and it doesn't map 'a place' to any obvious 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 choose geo-hint over sibling tools, when not to use it, or what inputs qualify as a place. The only context is the provider name, which is 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?

No annotations are provided, so the description carries the full burden. It says only 'Parse owner and repo from a GitHub URL' and does not disclose what is returned, how invalid URLs are handled, whether input is validated, or what happens to the unrelated parameters present in the 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 focused sentence with no filler. It is immediately understandable and front-loads the core action.

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

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

Given no annotations, no output schema, and a schema with many optional unrelated parameters, the description is too thin. It does not specify which parameter to pass, what the output looks like, or how errors are reported, leaving an agent to guess.

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

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

Schema description coverage is 100%, so the baseline is 3. Still, the description adds no parameter mapping: it does not clarify that 'url' is the GitHub URL to parse, and the schema includes many apparently unrelated optional parameters such as city, feed, host, json, path, 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 clearly states a specific action ('Parse') and a specific resource ('owner and repo from a GitHub URL'). It is distinct enough from sibling tools like figma-url-shape and jira-key-shape, 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 use case is implied: use this when you need to extract owner and repo from a GitHub URL. However, there is no explicit guidance about when not to use it or what alternative tools might be better for similar URL-parsing tasks.

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 reveal one trait ('Titles discarded'), but it does not explain how the nine accepted parameters, several of which are described in the schema as 'discarded after the shape check,' relate to counting HN stories, nor what the tool returns or what happens on fetch failure.

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

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

Two short sentences with no filler; the core purpose is front-loaded in the first sentence and the limitation in the second. 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?

For a tool with nine optional parameters, no output schema, and no annotations, a two-sentence description is thin. It never reconciles the generic parameters (city, json, ref, path) with the stated HN-counting purpose, and since there is no output schema, the return shape is left unexplained.

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, which sets a baseline of 3. The description adds minimal semantic value beyond that — 'Titles discarded' loosely echoes the feed parameter's description but is not tied to any specific 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 uses a specific verb ('Count') and a specific resource ('current Hacker News front-page stories'), and the second sentence clarifies that story titles are not part of the output. It is clear about what the tool does, though it never names a sibling or states how it differs from the shape-check tools in the same family.

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 alternative tool is named. The usage context is only implied by the verb 'Count' — an agent seeking the number of current Hacker News front-page stories could infer this is the right tool, but no exclusions or selection criteria are provided.

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

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

With no annotations provided, the description carries the full burden of disclosing behavior, but it only characterizes the content as 'common names'. It does not state whether the tool is read-only, whether it returns a list, or whether parameters are ignored or cause 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 short with no wasted words, but it is under-specified rather than appropriately concise. It lacks a clear action and does not cover the essential information needed to invoke the tool correctly.

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

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

For a tool with nine optional parameters, no annotations, and no output schema, a one-sentence fragment is insufficient. The description omits return behavior, parameter relevance, and any practical usage guidance.

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 documents all nine parameters at 100% coverage, the description adds no link between those parameters and the stated purpose of IANA timezone names. Several parameter descriptions mention discarding or validation, which seems disconnected from timezone lookup, leaving an agent unsure which parameter, if any, is relevant.

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

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

The description names a resource ('Common IANA timezone names') and a context ('for clock calls'), which gives a rough sense of the tool's domain. However, it is a noun phrase with no verb such as 'list', 'return', or 'validate', so it does not clearly specify what action the tool performs. It also does not differentiate itself from the sibling 'timezone' tool.

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' implies a usage context, but there is no explicit guidance on when to use this tool versus alternatives like 'timezone' or 'utc-time'. No exclusions, prerequisites, or scenarios are described.

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 states that only group counts are returned, which is useful, but it does not mention error behavior when robots.txt is missing, output format details, rate limits, or 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 a single, front-loaded sentence with no filler. It states the action and the constrained output scope 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 9 optional parameters, no annotations, and no output schema, yet the description does not explain what 'group counts' means, which parameter should be used to supply the robots.txt URL, or what the returned counts look like. This is too sparse for an agent to invoke reliably.

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

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

Schema description coverage is reported as 100%, so the baseline is 3. The description adds no parameter-level meaning beyond the schema, and it is not clear from the description which parameters (likely url or host) are relevant for fetching robots.txt, but the schema already describes each 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 names a specific verb ('Fetch'), a specific resource ('public robots.txt'), and a precise output ('group counts only'). This clearly distinguishes it from siblings like web-fetch or fetch-status, which are generic fetching 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?

No guidance is provided about when to use this tool versus alternatives such as web-fetch or fetch-status. There are no exclusions, prerequisites, or context signals to help an agent choose among the many sibling tools.

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

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

There are no annotations, so the description carries the disclosure burden. It reveals that the key is discarded after the check, a useful behavioral/privacy trait, but it does not explain the return value, side effects, or whether this is strictly read-only. This is some context, but not a complete behavioral picture.

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

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

Two short sentences with no filler; 'Check a ... shape. Key discarded.' is front-loaded and every sentence carries information. The terseness borders on under-specification, but for a concise purpose statement it is well-formed.

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 parameters, no annotations, and no output schema, the description does too little: it never says which parameter represents the key, what 'shape' means, what result is returned, or when to prefer this over sibling shape tools. This is materially incomplete for an agent to invoke correctly.

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

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

Input schema coverage is effectively 100%—every parameter has a description—so the baseline is 3 even though the description adds no parameter mapping. The description fails to indicate which parameter holds the Jira key, and the schema descriptions reference unrelated things (ref, city, JSON, path), so the semantics remain confusing in practice.

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-resource pair, 'Check a Jira issue key shape', which clearly identifies the operation and distinguishes it from sibling shape tools such as domain-shape or github-repo-shape. It does not, however, specify what a valid Jira key looks like or which schema parameter carries the key, leaving a small ambiguity.

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

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

The 'Jira issue key' wording supplies a clear use context—this tool is for Jira key shapes, not domains or GitHub repos. It does not mention explicit exclusions or alternatives, but the naming convention among sibling tools makes the intended selection fairly evident.

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 transparency burden. It does disclose that the body is discarded, implying a read-only status-check behavior. However, it omits output format, error behavior, redirect handling, rate limits, and whether valid input is required, 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?

Two short sentences, no filler, and the core functionality is front-loaded. 'Body discarded' is a useful behavioral detail that earns its place. The description is appropriately minimal for what it conveys.

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

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

The tool has no output schema, no annotations, and 9 optional parameters, yet the description does not explain the return format, which parameters to provide, or how this tool relates to its many siblings. The agent cannot reliably determine correct invocation or interpret results, so the description is incomplete for the 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 every parameter is already documented in the schema. The description adds no param-specific meaning and does not clarify which parameter is intended for the library docs URL (though 'url' is present). This meets the baseline for high schema coverage but adds little 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 specific action and resource: returning the HTTP status for a public library docs URL, while noting the body is discarded. This is clear and distinguishable from content-fetching tools, though it does not explicitly differentiate it from sibling status/URL-check tools 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 no guidance on when to use this tool versus siblings, no stated conditions or exclusions, and no indication of which of the 9 optional parameters should be supplied. The agent is left to infer usage from the name and schema 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 disclosure burden. It reveals that values are discarded, but does not state whether only top-level keys are counted, how arrays or invalid JSON are handled, or what the returned output looks like.

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

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

Two short sentences, front-loaded with the core operation and no filler. It is concise, though the brevity becomes underspecification 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?

For a 9-parameter tool with no output schema and no annotations, this is incomplete. The agent is not told which parameter supplies the JSON object, whether any parameter is required, or what success/error returns look like.

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

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

Schema coverage is 100%, so the baseline is 3. The description adds a small semantic ('values discarded') but does not clarify that the json parameter is the relevant input or how the other eight optional parameters relate to the operation.

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

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

The description identifies a clear operation and object: count the keys in a JSON object, with values explicitly not counted. It is a distinct action from sibling validate-json, but it never names or contrasts that alternative, 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?

No guidance is given about when to choose this tool over validate-json or other shape/count tools in the sibling list. The reader must infer usage solely from the phrase 'Count keys', with no mention of the expected input parameter or when not to use it.

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

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

With no annotations, the description carries the transparency burden. It discloses the core transformation—returns origin/host/path and drops query/fragment—but it does not mention whether the tool makes network requests, how invalid URLs are handled, or that non-url parameters are ignored. Adequate but not detailed.

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

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

Two sentences, front-loaded with the action and output, and no filler. 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?

For a 9-parameter tool with no output schema and no annotations, the description is under-specified. It does not explicitly identify `url` as the sole meaningful input—some params like `host` and `path` are not labeled as discarded—and it does not describe the return structure or edge-case 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?

Schema coverage is 100%, so the baseline is 3; the description adds the useful fact that URL query and fragment are dropped. However, it introduces some ambiguity by not stating that only `url` matters while eight other parameters are accepted, and 'query' could be confused with the URL query component.

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 ('Return') and resource ('URL'), and names the exact output fields (origin, host, path). This distinguishes it from siblings that check or fetch URLs, such as browser-url-ok 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?

No when-to-use or when-not-to-use guidance is provided, and no alternatives are named. The agent must infer from the output fields that this is for extracting URL components, with no explicit context versus validation, fetching, or other URL-related tools.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses only one trait: no browser is launched. It does not explain whether a network request is made, what 'ok' means, whether redirects are followed, or whether any side effects occur. This is insufficient for a tool with no annotation safety hints.

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 core purpose is front-loaded, and the key behavioral caveat appears immediately after. This is appropriately concise for a simple check 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?

The tool has 9 optional parameters and no output schema, yet the description only mentions URLs. It does not clarify how parameters like city, feed, json, path, or query relate to the stated URL-checking purpose. An agent cannot confidently determine which parameter to supply or what the tool will return.

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

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

Schema coverage is 100%, so the parameters are already documented in the input schema. The description adds no parameter-specific meaning, but the baseline of 3 applies because the schema handles the heavy lifting. The schema descriptions are themselves informative about discarded values.

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

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

The description states a clear verb and resource: 'Check whether a URL can be opened.' It also adds a meaningful differentiator with 'No browser is launched,' which helps separate it from browser-based siblings. However, 'can be opened' is slightly ambiguous about whether this is a syntactic check or a network reachability check.

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

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

The 'No browser is launched' line implies this is a lighter-weight alternative to browser-based checks, but it never explicitly says when to use this tool versus siblings like browser-url-ok or fetch-status. No alternatives are named and no exclusions are stated, leaving usage context mostly implied.

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 phrase 'Query discarded' is a useful behavioral disclosure that the input is not retained. With no annotations, the description carries the burden, but it still does not disclose what the tool returns, how it handles an empty or missing query, or whether the other parameters are simply ignored.

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

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

The description is very short and front-loaded, with no filler words. Both sentences add information: the core purpose and the discard behavior. However, it is terse relative to the confusing nine-parameter 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?

For a tool with nine optional parameters, no annotations, and no output schema, this is under-specified. An agent cannot determine the return shape, whether only 'query' should be passed, or what happens if multiple parameters are supplied.

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

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

Schema description coverage is 100%, so each parameter already has a documented meaning. The description adds only the idea that the query is the counted text, which is already stated in the schema's 'Search text; discarded after the length check.' It does not clarify why the other eight parameters exist in this tool's schema.

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

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

The description clearly states a specific action and resource: 'Count characters in a search query.' This is not a tautology of the tool name. However, it does not distinguish this from sibling length-counting tools like memory-key-count or hn-front-count, and the eight unrelated schema parameters create ambiguity.

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

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

There is no guidance about when to use this tool versus alternatives, nor any statement about which parameter to supply. The schema lists nine optional parameters with no direction that 'query' is the relevant one, leaving the agent to guess.

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

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It does not state whether the tool is read-only, what it returns, whether it performs network requests, or how parameters are used. 'Catalog' implies a static reference, but that is only an inference.

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 one short sentence and is front-loaded, but it is an under-specified title rather than a genuine description. Given seven parameters and unclear usage, the brevity harms clarity rather than helping 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?

With no annotations, no output schema, seven parameters, and a likely sibling tool named fetch-status, a one-line description is far too incomplete. There is no mention of return values, invocation pattern, sibling differentiation, or even whether parameters are required.

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

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

The input schema provides descriptions for all seven parameters, so schema coverage is high and the baseline is 3. However, the tool description adds no connection between these parameters and the 'status catalog', and several parameters like 'city' and 'feed' seem unrelated to HTTP status codes.

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 the resource ('catalog of common HTTP status codes') but uses no verb, so it is not clear whether the tool returns a static list, looks up a code, or validates something. It does not distinguish itself from the sibling fetch-status, which could easily be confused with a status-related operation.

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

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

There is no guidance about when to use this tool versus alternatives such as fetch-status or browser-url-ok. The description gives no selection criteria, no exclusions, and no hint about what kind of request should be routed here.

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 and parameter notes repeatedly say values are 'discarded,' which usefully signals that the tool ignores input and likely has no side effects. However, the url parameter is described as 'HTTPS URL to normalize or cite,' which contradicts the discard theme and creates confusion about actual behavior. With no annotations, the description carries the full burden but only partially delivers.

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

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

The description is two sentences and front-loads the core purpose: 'Return a three-step thinking template.' The second sentence provides useful behavioral context without padding. It is appropriately minimal, though it could benefit from a brief example of the template.

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

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

Despite having 7 parameters and no output schema, the description never explains what the 'three-step thinking template' actually contains or how the parameters relate to it. An agent cannot tell what the return value looks like or why this tool exists alongside its many siblings. The parameter set (ref, url, city, feed, host, json, path) is not reconciled with the stated purpose, leaving a large contextual gap.

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

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

The input schema provides descriptions for all 7 parameters, so schema_description_coverage is 100%. The description itself adds no parameter-specific semantics beyond the high-level 'Prompt discarded.' A score of 3 aligns with the baseline for high schema coverage.

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

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

The description clearly states a specific verb and object: 'Return a three-step thinking template.' This is not a tautology and gives the agent a concrete idea of what the tool does. However, it does not differentiate among sibling tools, and the meaning of 'Prompt discarded' as a qualifier is somewhat unclear.

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 any alternative. The description does not mention scenarios, prerequisites, or exclusions, and there is no comparison with sibling tools. Agents are left to infer when this should be invoked.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not mention that many schema fields are discarded, that inputs are only checked, or how the timezone name should be supplied; the mismatch between the description and the unrelated schema parameters makes behavior opaque.

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

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

The description is a single, front-loaded sentence with no wasted words. It is concise and easy to parse, though it could trade a little brevity for needed detail about the expected input.

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

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

Given no annotations, no output schema, nine parameters, and a schema that appears unrelated to the stated IANA timezone purpose, the description is far from complete. An agent cannot reliably determine how to invoke the tool or what to pass as the timezone 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 even without parameter details in the description. The description does not map 'named IANA timezone' to any specific property in the input schema, which is a notable gap, but it also does not add misleading parameter semantics beyond the schema.

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

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

The description clearly states the tool's core function: returning the current time for a named IANA timezone. This distinguishes it from sibling tools like utc-time and iana-zones, though it lacks an explicit verb and does not directly mention alternatives.

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

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

The description implies when to use the tool: when the current time in a specific IANA timezone is needed. However, it does not explicitly contrast it with alternatives such as utc-time or mention when not to use it, so guidance remains implicit rather than explicit.

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

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It only states the output and omits that the seven input parameters are effectively discarded, as suggested by their schema descriptions. It also does not mention the timestamp format or whether inputs are required, leaving important behavioral traits undisclosed.

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

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

The description is a single, precise phrase with no filler or redundant words. It is appropriately sized for a tool whose purpose is simple, and the key information is immediately visible.

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 the simple output, the tool definition is incomplete for an agent. It does not state that the optional parameters are ignored, does not clarify the timestamp format (e.g., ISO-8601 vs Unix epoch), and there is no output schema to fill the gap. The unusual input schema makes it especially important to explain that no parameters are needed.

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 seven parameters individually, so schema coverage is 100%, which is the baseline 3 case. The tool description adds no parameter-level meaning and does not explain why a UTC timestamp tool accepts parameters like `ref`, `url`, `city`, or `json`, but the schema already covers each parameter's stated purpose.

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

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

The description clearly identifies the output as the current UTC timestamp, which is a specific resource with a clear scope. It does not use an explicit verb like 'return' or 'get', and it does not explicitly differentiate this tool from sibling tools such as `timezone` or `iana-zones`, but the meaning 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 provides no guidance about when to use this tool versus alternatives like `timezone`. There are no exclusion criteria, no mention of when not to use it, and no routing to a sibling tool. Usage is only weakly implied by the name and the phrase 'Current UTC timestamp.'

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 transparency burden. It discloses that the body is discarded, which is a useful non-retention signal. However, it doesn't state what the tool returns (e.g., a boolean validity result), nor does it explain the purpose of the many other input 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?

Two short sentences with no unnecessary words. The core purpose is front-loaded, and the discard note is a critical behavioral detail. This is appropriately sized and well-structured.

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 7-parameter tool with no annotations and no output schema, the description is too thin. It fails to identify the relevant 'json' parameter, describe the return value, or clarify how the other parameters relate to validation. An agent would need to infer too much 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?

The input schema has descriptions for all 7 parameters, including 'json' described as 'JSON text to validate', so schema coverage is high and the baseline is 3. The description itself adds no parameter meaning, and the term 'body' remains ambiguous, so it doesn't improve on the schema.

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

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

The description states a specific action and resource: 'Check whether a body is valid JSON.' This distinguishes it from sibling shape/URL validators. However, it doesn't explicitly differentiate from alternatives or clarify what 'body' means, so it's clear but not fully robust.

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: use this when you need to validate JSON syntax. But there is no guidance about when not to use it or which sibling tool might be a better fit, so the agent must infer the usage context.

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

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only names the result ('current temperature'). It does not explain the external Open-Meteo call, what happens with the many other accepted parameters, or what a caller should expect on failure or with no required 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 single sentence is compact, front-loaded with the core purpose, and contains no filler. However, it is arguably too terse for the complexity implied by the nine-parameter 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?

There is no output schema and no annotations, so the description must carry the weight. It does not specify return format, units, error behavior, or how the unrelated parameters should be interpreted. An agent selecting or invoking this tool would have substantial uncertainty beyond the basic city-temperature use case.

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 input schema already documents all nine parameters. The description adds only a weak link to 'city'; it does not clarify why parameters like 'ref', 'feed', 'json', or 'path' exist on a weather tool. Baseline 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 clearly states that the tool returns the current temperature for a city, using Open-Meteo as the data source. This distinguishes it from sibling tools like geo-hint, though it lacks a verb and does not acknowledge the much wider input schema.

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 weather-hint versus alternatives, nor does it mention which parameters are relevant. An agent is left to infer that 'city' is the operative parameter, but there is no explicit direction or exclusion.

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 does disclose a key behavior: the response body is discarded. It does not explain redirect handling, timeout behavior, error responses, or how content type is derived, 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. The main behavior is front-loaded, and 'Body discarded' is a useful, non-redundant addition.

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

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

Despite nine optional parameters and no output schema or annotations, the description provides only a terse overview. It does not tell the agent which parameters to populate, what the result format looks like, or how to distinguish this tool from fetch-status and other URL-related siblings.

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

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

Schema description coverage is 100%, so each parameter already has its own description. The tool description adds little parameter-level meaning and does not clarify how the many unrelated-looking parameters (city, json, zone, query) relate to the stated URL-fetching behavior.

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

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

The description clearly states the tool's function: return HTTP status and content type for a public URL while discarding the body. It is specific about resource and behavior, though it does not explicitly differentiate from sibling tools 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 'public URL' and 'body discarded' imply the tool is appropriate when only status/content type are needed, and not when page content is required. However, it does not explicitly name alternatives or give when-to-use versus when-not-to-use guidance relative to its many sibling tools.

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

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

With empty annotations, the description carries full responsibility for disclosing behavior. It does disclose that the title is 'discarded after the call,' which is a useful data-handling note. But it does not explain whether the call is a network request, whether it is read-only, how results are returned, or what side effects might occur.

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

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

The description is extremely short and contains no filler. The sentence about discarding the title is a meaningful behavioral note rather than repetition. It is inefficiently minimal in coverage, but it is not wordy or poorly structured.

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 7 parameters, no annotations, and no output schema, so the description alone must provide enough context to invoke it correctly. It fails to do so: there is no mapping from parameters to the title, no expected return value, and no explanation of how existence is verified. An agent would not reliably know what input to provide or what result to expect.

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

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

The description adds no meaning to the input schema. The schema exposes seven unrelated-looking parameters like ref, url, city, feed, host, json, and path, but none is identified as the Wikipedia title. Even though each parameter has a schema description, those descriptions do not align with the tool's stated purpose, leaving an agent unable to determine which parameter to pass.

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

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

The description states a clear verb and resource: 'Check whether a Wikipedia title exists.' This distinguishes the tool from URL-focused siblings like normalize-url or browser-url-ok. However, the clarity is undermined by the input schema, which contains no 'title' parameter, so the stated purpose does not map cleanly onto the tool's actual 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?

There is no guidance about when to use this tool versus alternatives such as citation, normalize-url, or fetch-status. The description implies it is for Wikipedia title existence checks, but it does not state any exclusions, prerequisites, or conditions for choosing a sibling tool instead.

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