ISO country LA

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

With no annotations, the description carries the burden and does add useful behavior: it returns specific artifacts and says task text is discarded. It does not, however, disclose side effects, authentication, rate limits, or confirm it is side-effect-free, leaving part of the behavioral profile implicit.

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 with no filler: purpose first, then return contents, then a data-handling note. Each sentence contributes distinct information, and the most important action verb 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 description lists key return artifacts and warns that task text is discarded, which is helpful given there is no output schema. But with nine optional parameters and no annotations, it does not explain which parameters matter for a given invocation or what the returned payload looks like, so an agent has to rely on schema descriptions alone.

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

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

Schema description coverage is 100%, so the baseline is 3; the schema already explains every parameter. The description adds no parameter-specific meaning beyond reinforcing that task-like text is discarded, which is already reflected in the query parameter 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 opens with a specific verb and resource: 'Find a public pay-per-call tool gateway (Monid)' and lists the returned artifacts (CLI setup, how-it-works, skill file, remote MCP hops). It is clear about what the tool does, though it does not explicitly contrast itself with sibling tools.

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

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

The use case is implied: call this when you need a Monid pay-per-call gateway index. However, there is no explicit when-to-use, when-not-to-use, or mention of alternatives among the 27 sibling tools, so an agent must infer the correct selection 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 behavioral burden. It discloses only that no browser is launched; it does not say whether a network request is made, whether the operation is read-only, what inputs are used or discarded, or what the result/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 sentences carry the core purpose and an important behavioral qualifier with no filler. The key purpose 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 9 optional parameters and no output schema, yet the description omits the expected output shape, which input should be used, and edge cases. This is insufficient for an agent to confidently invoke the tool with the right arguments and interpret the 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?

The input schema provides descriptions for all 9 parameters, so the description does not need to restate them. Still, the description does not clarify which parameter is the URL to check, and the schema's url description ('normalize or cite') is not obviously aligned with the tool's openability check; this keeps the value 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 uses a specific verb and resource ('Check whether a URL can be opened') and adds a differentiating trait, 'No browser is launched,' which helps distinguish it from browser-based siblings such as playwright-url-ok. However, 'can be opened' leaves some ambiguity about whether this is a syntax check or a 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 qualifier implies a lightweight URL-check context and contrasts with the sibling playwright-url-ok, but the description never explicitly states when to prefer this tool over alternatives such as fetch-status, normalize-url, or domain-shape, nor does it list exclusions.

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

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It does say 'Expression discarded,' which is a useful retention note, but it does not state whether a result is returned, whether other parameters are ignored, or what happens on invalid input. The mismatch between the arithmetic claim and the schema's 'discarded after the shape check' descriptions further reduces transparency.

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

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

The text is only two short sentences, front-loaded with the action, and contains no filler. However, the second sentence is ambiguous enough that the brevity borders on under-specification rather than effective structure.

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

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

With 9 optional string parameters, no output schema, and no annotations, the description should clarify which parameter carries the arithmetic expression and what the tool returns. It does neither, so an agent cannot safely construct a call. This is a minimal shell of a definition.

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

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

Schema coverage is 100%, so the baseline is 3, but the description adds no mapping of 'expression' to any property such as 'query' or 'ref.' It actually undermines the schema by referencing a non-existent 'Expression' parameter, leaving an agent unable to choose a meaningful argument.

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, 'Evaluate a+b style arithmetic,' rather than merely restating the tool name. However, it refers to an 'Expression' that has no corresponding property in the 9-parameter schema, and the schema fields look like generic shape checks for URLs, files, JSON, timezones, and search text, making the actual purpose ambiguous.

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

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

The only usage signal is the imperative 'Evaluate ... arithmetic,' which implies this tool is for simple calculations. There are no explicit when/when-not conditions, no mention of alternatives, and no explanation of how this relates to 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?

With no annotations, the description carries the transparency burden. It discloses one meaningful behavioral trait: page content is not stored. It does not mention network access, redirect handling, failure behavior, or whether the URL is fetched, so transparency is partial.

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

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

Two short sentences, front-loaded with the primary behavior, and the storage caveat is a useful addition. There is no wasted text.

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 core behavior is clear, but the description is terse relative to the context: nine optional parameters, no annotations, no output schema, and many URL-related sibling tools. It does not clarify which parameter to pass, what the output structure looks like, or how errors are reported.

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 parameter-level meaning and does not clarify that the url parameter is the relevant one among nine optional parameters; the schema descriptions do most of the work.

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

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

States a specific verb and resource: return host, scheme, and HTTP status for a URL. The note that page content is not stored adds useful scope, but it does not explicitly differentiate from url-related 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?

The description implies when to use the tool: when an agent needs host, scheme, and HTTP status for a URL without page content. However, it does not name alternatives or provide explicit when-to-use/when-not-to-use guidance, leaving routing mostly to inference.

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

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

The statement 'No identifiers are retained' is a useful behavioral guarantee, especially since there are no annotations to communicate this. However, the description does not disclose whether the tool is read-only, what side effects exist, or what happens to the input after classification, so behavioral transparency is only partially addressed.

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 wasted words. However, it is so terse that the first sentence sacrifices necessary specificity, making the brevity less useful than it could be.

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, no annotations, and many closely related sibling tools, this description is critically incomplete. It does not explain what classifications are possible, how parameters are used, what the output looks like, or which sibling cases this tool is meant to handle.

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 parameters well. The tool description adds no parameter-level meaning, but the schema carries that burden, making a baseline score of 3 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 says the tool will 'Show how this request is classified,' which indicates a rough purpose, but 'classified' is never defined and the tool name 'compatibility' is not explained. It does not distinguish this tool from sibling classifiers like domain-shape, 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?

There is no guidance about when to use this tool versus any of the 26 sibling tools. The description gives no conditions, exclusions, or alternatives, leaving an agent to guess which request classification scenarios should route 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?

With no annotations, the description carries the behavioral burden; it does state a meaningful trait by excluding WHOIS/ownership data. It does not, however, disclose in the description that inputs are discarded after the shape check (that appears only in property descriptions), nor does it describe side effects or output 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 main operation is stated first. It earns its place, though the extreme brevity leaves room for more parameter/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?

The tool has no output schema, no annotations, and nine optional parameters, yet the description only discusses hostname splitting. An agent gets no guidance on why the other parameters exist, whether exactly one should be provided, or what the return value looks like, so the context is incomplete.

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

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

Schema description coverage is 100%, so the schema already documents all nine parameters and their discard behavior. The tool description adds only that 'hostname' maps to the host parameter, making its additional semantic value marginal; the baseline of 3 is appropriate.

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

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

The description names a specific verb and resource ('Split a hostname into labels') and adds a distinguishing boundary ('without WHOIS or ownership data'), which separates it from sibling URL/status tools. However, the tool's schema admits eight other parameter types (url, json, city, etc.) with no explanation in the tool description, so the stated purpose is narrower than the actual interface.

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 'without WHOIS or ownership data' implies a use case boundary: choose this when you do not need WHOIS/ownership enrichment. But it does not explicitly name alternatives or state when to prefer sibling tools such as normalize-url or browser-url-ok, so the guidance is implied rather than explicit.

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

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

With no annotations available, the description carries the behavioral burden. It usefully discloses the HTTP method (HEAD), the public scope, and the narrow 'status only' return, which implies no body retrieval. It does not cover redirects, timeouts, authentication needs, or behavior when multiple parameters are supplied, so transparency is partial rather than complete.

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

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

The description is a single front-loaded sentence with no filler; every word contributes meaning. 'HEAD', 'public URL', and 'status only' are all load-bearing, making the description highly concise even though it may under-specify the broader tool.

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

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

For a tool with nine optional parameters, no annotations, and no output schema, the description is under-specified. It only describes the URL scenario and does not clarify parameter selection, response format, error behavior, or what happens when multiple parameters are passed, leaving agents to guess for most invocations.

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

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

Schema description coverage is 100%, so the baseline is 3; each parameter already has a description in the schema. The description adds that the URL is checked via HEAD and that only status is returned, but it does not explain how the other eight parameters relate to that operation or whether they are mutually exclusive alternatives.

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

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

The description states a specific verb ('HEAD'), a resource ('a public URL'), and the output ('status only'), which clearly distinguishes it from full-fetch tools like web-fetch. However, the input schema exposes many unrelated parameters such as city, feed, json, path, and query, and the description does not reconcile those with the stated URL-only purpose.

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

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

There is no guidance on when to choose this tool over sibling tools such as browser-url-ok, playwright-url-ok, or web-fetch. The word 'public' implies a scope limitation, but no when-to-use, when-not-to-use, or alternative-selection 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 must carry the behavioral burden. It discloses only that the path is discarded; it does not say whether the operation is read-only, what the parse result looks like, or what happens for invalid/non-Figma URLs. 'Path discarded' is also ambiguous: it could mean the url path or the path parameter.

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, and the behavioral caveat is front-loaded. It borders on under-specified, but for what it contains, every word earns its place.

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

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

The tool has nine optional parameters, no annotations, and no output schema, so the description alone must enable correct invocation. It fails to specify the relevant input field, expected return, or failure behavior, leaving the agent to guess from the name and generic property descriptions.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no parameter-specific meaning: it never identifies which of the nine optional fields (presumably url) is the Figma URL, and 'Path discarded' only echoes the path property's existing 'discarded' note.

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

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

The description names a specific verb and resource ('Parse a Figma file URL') and adds 'Path discarded' as a distinguishing behavior, so an agent can separate it from generic URL tools. It loses the fifth point because it never says what 'parse' returns or how this relates to the 'shape' in 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?

The description implies only that a Figma file URL is involved, but it gives no guidance on when to prefer this tool over siblings like normalize-url, domain-shape, or browser-url-ok. It also lacks prerequisites, exclusions, or any hint about which of the nine optional fields is the intended input.

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

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

With no annotations, the description carries the full burden. It discloses only 'No disk access' and does not mention that the other accepted parameters are effectively discarded, what 'safe' means, whether it returns a boolean, or how invalid paths are handled.

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

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

The description is short and front-loaded, with no filler: the core action and the no-disk-access caveat come first. However, it is too terse for a schema containing nine unrelated optional parameters; a little more structure would improve usability.

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 explain what the agent will receive; it does not. It also fails to clarify the return format, acceptable path syntax, or why the schema exposes so many unrelated parameters. This is incomplete for the tool's actual 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?

Although the schema has 100% description coverage, most parameters are irrelevant to a file-path check (url, city, feed, host, zone, query) and read like descriptions from other tools. The description does not identify 'path' as the operative parameter or explain that all others are ignored, making misuse likely.

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 path looks safe' and adds a meaningful boundary, 'No disk access.' This distinguishes it from URL-oriented siblings at a high level, though 'safe' is left undefined and no alternative tool 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?

There is no guidance about when to use this tool versus siblings such as domain-shape, wiki-title-ok, or normalize-url. The only usable signal, 'No disk access,' implies a lightweight syntactic check, but no explicit when-to-use or when-not-to-use instruction 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 behavioral disclosure burden, but it only mentions 'via Open-Meteo.' It does not disclose that this likely makes a network call, what output format to expect, failure modes, or that many input parameters are explicitly 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 single sentence is efficient and front-loaded, but for a tool with 9 parameters and many siblings it is under-specified. This is closer to minimalism than appropriately concise, useful documentation.

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

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

For a 9-parameter tool with no annotations and no output schema, the description is incomplete: it does not tell the agent which parameter to populate, what the returned coordinates look like, or when this tool is the right choice. The schema covers parameter meanings but not usage context.

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

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

The schema already documents all 9 parameters with individual descriptions, so the baseline is 3. The tool description adds almost no parameter-level meaning and does not connect 'a place' to the 'city' parameter, but it is not required to repeat schema details.

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

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

The description states that the tool returns latitude and longitude for a place using Open-Meteo, which communicates the core purpose clearly. It does not explicitly differentiate from siblings like weather-hint or timezone, but the geographical output is specific enough.

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 instead of a sibling, nor which of the 9 optional parameters should be supplied. An agent cannot determine whether to pass city, url, host, or another field, and no alternative tools 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'parse,' which suggests a read-only operation, but does not describe the return format, validation behavior, invalid-input handling, or whether any network/fetch activity occurs.

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

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

The description is a single, direct sentence with no filler or redundant information. It is efficiently front-loaded and easy to parse.

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

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

With nine optional parameters, no annotations, and no output schema, the description is too sparse to fully guide invocation. It does not specify the expected return structure, the exact URL format accepted, or error behavior, leaving important operational 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%, but the url parameter description is generic ('HTTPS URL to normalize or cite') and does not mention GitHub or owner/repo extraction. The tool description helps by clarifying the intended input, but it does not explicitly map the GitHub URL to the 'url' 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 and resource: 'Parse owner and repo from a GitHub URL.' This clearly identifies what the tool does and distinguishes it from siblings like domain-shape, figma-url-shape, and 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?

The description implies when to use the tool: when an agent needs to extract owner and repository from a GitHub URL. However, it does not explicitly state when not to use it or name alternatives, so usage guidance is only 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?

With no annotations, the description must carry the behavioral burden. It discloses a key behavioral trait ('Titles discarded') and implies live/current data, but it does not state that the 9 optional parameters are effectively ignored or describe the return format or possible failure modes.

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 core action first and the limitation second. There is no filler, and every word contributes to the tool's meaning.

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 trivial read-only count operation, and no output schema exists, so the return value is only implied by 'Count'. Missing context includes whether all parameters are ignored and whether the count is live or cached.

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

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

Schema coverage is 100%, so the baseline is 3. The description adds little beyond the schema; 'Titles discarded' echoes the feed parameter's note but does not clarify how the count relates to the many 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 opens with a specific verb and resource: 'Count current Hacker News front-page stories.' This identifies exactly what the tool does and is distinct from sibling tools, none of which target HN front-page counting. 'Titles discarded' further clarifies the scope of the result.

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?

It clearly indicates use for obtaining the current count of HN front-page stories. 'Titles discarded' implies it should not be used when story titles are needed, but it does not name alternative tools or give explicit exclusion 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?

With no annotations provided, the description must carry the behavioral burden, but it only states content and intent. It does not disclose return format, whether parameters are ignored, or failure behavior, though the static nature of a name list weakly implies a read-only operation.

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 filler, but that brevity is under-specification rather than effective structure. A single clause without a clear operation is not appropriately sized for a tool with nine parameters.

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

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

Given nine optional parameters, no output schema, and no annotations, the description is far too incomplete. It fails to explain what the tool returns, how the parameters relate to its purpose, or how it should be selected among the timezone-related sibling tools.

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

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

Schema coverage is 100%, and each of the nine parameters has its own description in the schema. The tool description adds no parameter-level meaning, which keeps this at the baseline for well-covered schemas.

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 the tool's content: common IANA timezone names for clock calls. However it is a noun phrase rather than a clear operation, so it never states whether the tool lists, returns, validates, or cites these names.

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

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

The phrase 'for clock calls' gives an implied usage context: this tool is relevant when clock-related operations need a timezone name. It does not name alternatives such as timezone or utc-time, and it gives no exclusions, so the guidance is only 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?

With no annotations, the description carries the behavioral burden. It discloses the output limitation ('group counts only') and the public scope, but it says nothing about missing robots.txt files, redirects, error behavior, rate limits, or whether the call is read-only.

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

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

The description is a single front-loaded sentence with no filler. Every phrase adds meaning: 'public' scopes the resource and 'group counts only' constrains the output.

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 9 optional parameters, yet the description only says to fetch a robots.txt and return group counts. It omits which parameter to populate, what a 'group count' means, and what happens on failure, making the description insufficient 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 generic and mostly unrelated to robots.txt (e.g., 'HTTPS URL to normalize or cite', 'JSON text to validate; discarded after the check'). The description does not state which of the 9 optional parameters supplies the robots.txt URL, so an agent cannot confidently select the right 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 names the exact operation ('fetch a public robots.txt') and the restricted return ('group counts only'), so the agent knows what the tool does. It does not explicitly contrast with sibling tools such as web-fetch or fetch-status, so it stops short of a 5.

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

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

There is no guidance on when to use this tool instead of web-fetch, fetch-status, or normalize-url, nor any when-not-to-use conditions. 'Public' is the only implicit context, which is too thin to count as real usage 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 present, the description carries the full burden. 'Key discarded' does disclose that the key is not retained, but it omits the return value, error behavior, and what happens for malformed input. The seven unrelated schema fields are not explained at all.

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 action; the discard note adds an extra constraint without filling space. It is lean, though too terse to fully support 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?

For a tool with seven heterogeneous parameters and no output schema, a one-sentence description is critically incomplete. An agent cannot tell which field to pass as the Jira key or what a successful shape check returns.

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 describes each property, but the description adds no mapping between them and the 'Jira issue key.' It refers to a 'key' that does not appear as any of the seven property names, leaving an agent unable to determine whether ref, url, or another field carries the key.

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 opens with a specific verb ('Check') and resource ('Jira issue key shape'), which states the tool's purpose and distinguishes it from sibling shape checkers like github-repo-shape or domain-shape. It falls short of a 5 because it never links the check to any actual input field in the 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?

There is no guidance about when to use this tool instead of a sibling, nor any conditions that indicate suitability. 'Key discarded' is a behavioral constraint rather than routing information, so the agent is left without 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 must carry behavioral disclosure. It does disclose that the body is discarded and that only the HTTP status is relevant. However, it does not mention network behavior, redirects, timeouts, or the fact that most input parameters are ignored, leaving a meaningful transparency gap.

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

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

The description is two short sentences with no filler, front-loading the action and adding one useful behavioral note ('Body discarded'). Every word earns its place.

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

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

Given no output schema, no annotations, and a nine-parameter optional schema, a two-sentence description is insufficient. It does not explain the return format beyond 'HTTP status', does not reconcile the unrelated parameters, and does not specify how to invoke it correctly (which parameter is the URL).

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 conflicting guidance: it treats a URL as the status target while the url parameter's schema says 'HTTPS URL to normalize or cite.' The description also does not clarify which of the nine optional parameters are actually used versus discarded, despite their varied semantics.

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

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

The description states a specific action—returning the HTTP status—for a public library docs URL, and notes that the body is discarded. It is clear, but it does not explicitly distinguish this from sibling status/URL 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 description implies when to use the tool: when an HTTP status check for a public library docs URL is needed. It gives no explicit alternatives, exclusions, or when-not-to-use conditions relative to the many sibling tools that perform similar URL checks.

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 only states 'Values discarded.' It does not disclose whether nested keys are counted, how invalid JSON is handled, what the return value looks like, or that the JSON object apparently comes from memory rather than parameters. This is a significant transparency gap.

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

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

The two sentences are terse and free of filler, but the brevity comes at the expense of essential operational details. It is front-loaded and easy to read, yet under-specified 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 definition fails to explain where the JSON object comes from, whether any of the nine parameters should be passed, or what the returned count looks like. Without an output schema or annotations, and with a confusing parameter list, an agent has insufficient information to invoke this tool correctly.

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

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

The description does not connect to any parameter, and the schema's 9 optional parameters are mostly described as 'discarded' or 'checked,' leaving no clear input route. The 'json' parameter's description—'JSON text to validate'—actively conflicts with the counting purpose and could mislead an agent into using it as the 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 clearly states a specific verb ('Count') and resource ('JSON object'), which distinguishes it from siblings like validate-json or domain-shape. The added 'Values discarded' note clarifies what is counted, though it does not explicitly contrast with sibling tools.

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

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

There is no guidance on when to use this tool versus alternatives, no mention of validate-json or other JSON-related siblings, and no statement about what input (if any) is expected. An agent must infer applicability entirely from the tool name and minimal description.

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

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

No annotations are provided, so the description carries the behavioral burden. It does disclose that query and fragment are dropped, which is a meaningful behavioral trait, but it does not say whether the tool performs network access, how invalid URLs are handled, or whether only the 'url' parameter is actually used.

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 crisp sentences with the core behavior front-loaded and no filler. The query/fragment caveat earns its place as a natural second sentence.

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

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

Despite the clear core statement, the tool has 9 optional parameters, no output schema, no annotations, and many sibling tools. The description does not explain the return structure, whether 'url' is the only meaningful parameter, or what happens with invalid input, so an agent cannot confidently invoke it correctly.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds some meaning to the 'url' parameter by defining the expected output, but it does not clarify the role of the eight other optional parameters, several of which are explicitly described as discarded.

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

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

The description clearly states the verb and resource: 'Return origin, host, and path for a URL' and adds the key lossy behavior that query and fragment are dropped. It does not explicitly contrast any 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?

The usage is implied: use this when you need normalized URL components and do not need query or fragment. However, there is no explicit when-not guidance or pointer to alternatives like web-fetch, browser-url-ok, or fetch-status, which would be valuable given the large sibling set.

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 burden. It adds a meaningful behavioral trait by stating 'No browser is launched,' which helps distinguish it from browser-based checks. However, it does not disclose whether a network request is made, whether the operation is read-only, or what the tool returns.

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 is front-loaded, and the clarifying caveat about not launching a browser is placed immediately after.

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 nine optional parameters and no output schema, the description does not explain the expected result, how the parameters interact, or why most parameters are discarded. The schema explains individual parameters, but the overall tool behavior and invocation context remain incomplete.

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

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

The input schema provides 100% description coverage for all nine parameters, so the schema carries the parameter documentation. The tool description itself adds no parameter-specific meaning beyond the schema.

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

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

The description states a clear action and resource: 'Check whether a URL can be opened.' It also differentiates from browser-launching siblings by explicitly saying 'No browser is launched.' However, it does not specify the mechanism behind the check, leaving some ambiguity about what 'opened' means.

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 siblings like browser-url-ok, fetch-status, or web-fetch. The phrase 'No browser is launched' hints at a lightweight use case, but it does not state when this tool should be preferred or avoided.

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

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

With no annotations, the description must carry the side-effect burden. It does state 'Query discarded,' which implies the input is not persisted, but this largely repeats the query parameter's schema description. It does not mention whether external calls occur, what happens when multiple parameters are supplied, or the output 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 the core action front-loaded and no filler. Every phrase earns its place, even though the result is 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?

Nine optional parameters, no required fields, no annotations, and no output schema make this complex, yet the description gives only two sentences. It fails to state which parameter to pass, whether at least one is required, or what the count applies to. The schema partially compensates, but an agent cannot confidently disambiguate the eight seemingly unrelated extra parameters.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no parameter-level meaning beyond labeling the input 'search query'; each parameter is already documented in the schema. It does not clarify that only 'query' is relevant while the other eight optional parameters are likely ignored.

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

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

The description uses a specific verb ('Count') and object ('characters in a search query'), so an agent can tell this is a length-counting utility rather than a validation or fetch tool. It is not a tautology of the name, but it does not explicitly clarify that only the 'query' parameter is counted despite the schema containing many unrelated optional fields.

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 instead of a sibling like memory-key-count or normalize-url. The sentence 'Query discarded' describes a side effect, not a usage condition. An agent is left to infer that it should supply a search query, with no 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?

With no annotations available, the description carries the full burden of behavioral disclosure, but it only says 'short catalog.' It does not state that the tool is read-only, that most input parameters are discarded, or whether any network or shape-checking occurs. The schema hints at discarding, but the description itself does not.

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

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

The description is concise and front-loaded, but it is under-specified rather than efficiently complete. It earns its single sentence, yet omits behavioral and usage details that an agent needs.

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 the description does not say what the tool returns or how to invoke it meaningfully. With seven unrelated parameters and no return-value explanation, the definition is not complete enough for confident tool selection.

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, so the schema already provides high coverage. The tool description adds no parameter meaning, and the odd mismatch between a status-code catalog and parameters like city, feed, and json is left unexplained.

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 the resource (common HTTP status codes) and clearly implies a catalog/lookup tool, which distinguishes it from siblings like fetch-status or web-fetch. It lacks an explicit verb like 'returns' or 'looks up,' but the resource and function are reasonably 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?

No guidance is given on when to use this tool versus alternatives such as fetch-status, web-fetch, or validate-json. There is no context, no exclusion, and no mention of preferred scenarios.

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 disclose one notable behavior: 'Prompt discarded.' However, it does not explain whether the input parameters affect the output, whether any side effects occur, or what the response contains beyond being a template.

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 or repetition. Both sentences carry distinct information: the output and the prompt-handling behavior. It could be more complete, but as far as conciseness goes it is efficient.

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 varied parameters, no output schema, and no annotations, the description is too thin to give an agent a complete operational picture. It does not explain how parameters map to the template, whether any are effectively required, or what the returned template looks like. The schema helps per-parameter, but the tool-level contract remains incomplete.

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

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

Schema description coverage is 100%, so each parameter already has meaningful documentation in the input schema. The tool description itself adds no parameter-level meaning, which is acceptable given the high baseline.

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

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

The description states a specific verb and resource: 'Return a three-step thinking template.' This makes the core action clear and distinguishes it from the sibling validation/hint tools. However, it does not explain what the template contains or how it relates to the nine input parameters.

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

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

There is no guidance about when to use this tool versus any of the many sibling tools. The note 'Prompt discarded' provides a warning about prompt handling, but it does not help an agent decide when this tool is the appropriate choice.

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 states the result and does not mention output format, handling of invalid timezone names, network dependency, or whether any side effects occur. This is a significant gap for a tool with no annotation coverage.

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

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

The description is a single concise sentence with no filler or repetition. It is front-loaded and easy to parse, though it is arguably too sparse to fully compensate for the missing behavioral context.

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

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

The tool has 9 parameters, no required parameters, no annotations, and no output schema, but the description only states its high-level purpose. It does not tell an agent which parameter to use, what the response looks like, or how errors are handled. This 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?

Schema description coverage is 100%, so the schema already documents parameter meanings. The description itself does not indicate which parameter corresponds to the timezone, relying on the schema and tool name to convey that. It adds little semantic value 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 provides the current time for a named IANA timezone, which distinguishes it from siblings like utc-time and iana-zones. It lacks an explicit verb like 'get' or 'return,' 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 implies usage: call this tool when you need the current time in a specific IANA timezone. However, it provides no explicit guidance about when to prefer utc-time or iana-zones, nor does it state 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?

With no annotations provided, the description carries the burden of disclosing behavior. It only says 'Current UTC timestamp' and does not state that all input parameters appear ignored or discarded, nor does it mention output format, side effects, or that no arguments are needed. The schema parameter descriptions hint at 'discarded' behavior, but the tool description itself adds little beyond the obvious read-only nature.

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

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

The description is a single concise sentence with no wasted words. It is front-loaded and easy to parse, which is appropriate for a simple read-only utility 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 is simple, but the input schema is unexpectedly large and unrelated, and there is no output schema. The description does not explain that the inputs are likely optional or ignored, nor does it specify the timestamp format (e.g., ISO 8601, epoch). An agent cannot confidently know how to invoke it correctly without additional assumptions.

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% because every parameter property has a description. The tool description itself adds no parameter-specific meaning, so the baseline of 3 applies. However, the parameters (ref, url, city, feed, host, json, path) are largely unrelated to 'utc-time', and the description does nothing to reconcile that mismatch.

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

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

The description uses a specific resource and intent: 'Current UTC timestamp' clearly says what the tool returns. It aligns with the tool name and is understandable, though it does not explicitly differentiate itself from siblings like 'timezone' or 'iana-zones'.

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

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

There is no guidance about when to use this tool versus alternatives such as 'timezone' or 'iana-zones'. The description simply states what it returns, leaving an agent to infer when it is the appropriate choice.

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

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

There are no annotations, so the description must carry the burden of behavioral disclosure. It does disclose that 'the body is discarded,' indicating the input is not persisted or reused. It does not mention return behavior, error handling, or any other side effects, so the disclosure is only partial.

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

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

The description is one terse sentence that front-loads the purpose and includes the key behavioral note about discarding the body. Every word earns its place; there is no redundancy or 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?

The tool has seven input parameters, no annotations, and no output schema. The description fails to indicate which parameter is the 'body' to validate and does not explain what the caller receives (boolean, response, exception, etc.). Even though the schema is well described, this ambiguity and missing return information make 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?

The input schema itself gives detailed descriptions for every property, including `json` ('JSON text to validate; discarded after the check'), so schema coverage is high and the baseline is 3. The description adds no parameter-level detail and instead uses the ambiguous term 'body' without mapping it to a schema property.

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

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

The description uses a specific verb ('Check') and a clear object (whether a body is valid JSON), so an agent knows the tool's core function. However, it does not explicitly tie the generic 'body' to the `json` parameter in the schema, leaving mild ambiguity. It stands apart from sibling shape-validators because it is the only one focused on JSON validity.

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 purpose implies the use case: validate whether a given body is valid JSON. But the description gives no explicit when-to-use/when-not-to-use guidance and names no alternatives among the many sibling validation tools, so an agent must infer when this tool is the right choice.

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

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

With no annotations, the description must carry the behavioral disclosure burden, but it only states the function and source. It does not mention that most of the nine input parameters are discarded, that the tool may perform a network call, or how it behaves 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 front-loaded sentence with no filler, making it compact and easy to parse. However, the brevity borders on underspecification given the tool's 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 no output schema, no annotations, and nine parameters, this description is far too sparse. It does not explain which parameters are actually used, what the response contains, or how the tool relates to the 27 sibling tools, so an agent cannot confidently invoke it correctly from the description alone.

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

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

Schema description coverage is 100%, so the baseline is 3. The description implies that the city parameter is relevant, but it adds no detail about format, units, or why the other eight parameters appear in the schema.

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

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

The description clearly identifies the resource (current temperature), the scope (a city), and the data source (Open-Meteo), so an agent can understand the core purpose. It lacks an explicit verb and does not explicitly differentiate itself from sibling tools, but no other sibling is weather-specific, making the purpose reasonably 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?

There is no guidance about when to use this tool instead of alternatives like geo-hint, web-fetch, or fetch-status. The description gives no context, exclusions, or alternative tool names, leaving the decision 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 burden. It usefully discloses that the response body is discarded and that the target is a public URL, but it does not mention redirects, timeouts, request method, or error behavior. This is helpful but incomplete.

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

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

The description is two short sentences with no filler: the output is front-loaded and 'Body discarded' is a meaningful behavioral detail. It earns its place despite being too sparse for the full 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 a 9-parameter schema, no annotations, no output schema, and multiple sibling fetch/URL-checking tools, this two-sentence description is insufficient. It does not clarify which parameters are used, what the return shape is, or how web-fetch differs from fetch-status and browser-url-ok.

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

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

The schema has nine parameters (ref, url, city, feed, host, json, path, zone, query) and 100% coverage, but the description never explains which parameters are relevant to web-fetch or how the extra fields are used. The url parameter's schema description says 'HTTPS URL to normalize or cite', which conflicts with the fetch behavior stated in the tool 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 clearly states what the tool does: returns HTTP status and content type for a public URL, and it adds that the body is discarded. This is specific enough to convey the core function, though it does not differentiate web-fetch from overlapping 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 'public URL' provides an implied usage context: use this for public URLs when you need status and content type without the body. However, there is no explicit when-to-use vs alternatives, no exclusions, and no mention of why web-fetch should be chosen over fetch-status or browser-url-ok.

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

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

There are no annotations, so the description carries the transparency burden. It does disclose a meaningful behavior - the title is discarded after the call - which implies no retention. It does not disclose response shape, failure behavior, network dependency, or how existence is determined.

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 main intent, with no filler. The second sentence is an extra behavioral note that earns its place despite being incomplete.

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 existence check with no annotations or output schema, the description should at least say how to pass the title and what a successful reply means. It does neither, so the tool cannot be reliably invoked despite its apparent simplicity.

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 documents all seven properties, but none is a Wikipedia title; descriptions for `ref` and `path` explicitly call them Git/file paths. The description adds the 'title' concept without mapping it to a parameter, so an agent cannot tell what to supply.

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

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

The description names a specific verb and resource: it checks whether a Wikipedia title exists. That is clear and distinct from all sibling tools. However, the schema exposes no property that carries the title, so the stated purpose does not map onto the callable inputs cleanly.

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

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

There is no guidance on when to prefer this tool over alternatives or what context calls for it. The only sentence beyond the purpose is a disposal note, not usage direction.

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