Language eu

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

With no annotations, the description carries full responsibility for explaining side effects and constraints. It only says 'Returns connection methods' and 'Task text discarded,' which does not disclose actual behavior, failure modes, or how parameters influence the result.

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 has no redundant fluff, but its brevity sacrifices clarity. The phrase 'pay-per-call tool gateway' is awkward and the overall structure leaves the reader guessing what the tool actually does.

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 mention of errors, return format, or how to interpret 'connection methods.' Given the tool's apparent meta-nature and nine parameters, the description is far too sparse to be considered complete.

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

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

Although all parameters have descriptions, they are largely nonsensical or dismissive ('discarded after the shape check', 'no disk access'). They do not explain how each parameter is used to find a tool gateway, so the high schema coverage does not translate to real semantic clarity.

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 it 'Find[s] a public pay-per-call tool gateway' but this is vague and the connection to parameters like ref, host, zone, or query is unclear. It does not clearly distinguish the tool's core function from the many 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?

It lists example task types ('weather, search, scrape, or voice') but gives no concrete guidance on when to choose this tool over alternatives. No sibling tools are mentioned, and the 'task text discarded' line adds confusion rather than clarifying usage.

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

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

It discloses that no browser is launched, but omits whether it makes network requests, has side effects, requires authentication, or has limits. Since no annotations are provided, the description carries the burden and leaves these operational traits undisclosed; the schema's 'discarded' remarks are not part of the description.

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

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

The description is a single compact sentence with no fluff, and the schema is well-structured with additionalProperties false. It loses a point because the brevity comes at the expense of essential context, but the structure itself is clean.

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

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

With 9 optional parameters, no required fields, no output schema, and no annotations, the description is far too sparse for an agent to know how to invoke the tool correctly. It doesn't specify the return value, success/failure criteria, error handling, or which parameter to use, making it incomplete for any real 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 descriptions cover all parameters (100%), so the baseline is 3, but the tool-level description doesn't connect them to the stated purpose, and the parameter descriptions are inconsistent with it (e.g., URL is described as 'to normalize or cite,' not to check openability). This leaves an agent unsure which parameter is the intended 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 states a clear action ('check whether a URL can be opened') and a constraint ('no browser is launched'), but the schema exposes 9 unrelated optional parameters (ref, city, feed, json, path, zone, query) whose descriptions reference other operations, making the actual purpose ambiguous and inconsistent with the stated one.

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 over siblings like playwright-url-ok, fetch-status, or web-fetch. It doesn't specify what 'opened' means, which parameter is relevant, or how to handle failures. The only hint is 'No browser is launched,' which is a constraint, not usage direction.

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; 'Expression discarded' hints at no persistence but does not explain side effects, output, failures, or safety-relevant 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 brief and not padded, but the second sentence creates ambiguity and the overall structure does not clarify the tool's behavior enough to offset the brevity.

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

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

The description omits required inputs, expected output, and evaluation semantics; with no output schema and no required parameters, the tool is not sufficiently specified 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?

The tool description adds no parameter-level meaning beyond the schema, and the schema's nine optional string parameters (ref, url, city, feed, host, json, path, zone, query) are unrelated to arithmetic evaluation, leaving callers unable to construct a valid request.

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'), but the second sentence 'Expression discarded' is confusing and the input schema contains no expression parameter, making the actual purpose 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 given about when to use calc-eval rather than any sibling tool, nor any mention of conditions or alternatives.

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

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

With no annotations, the description carries the full transparency burden. It does disclose that page content is not stored, but it does not mention network fetch behavior, potential side effects, authentication needs, or rate limits.

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 redundant wording. It is well-structured 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?

Given the 9-parameter schema and no output schema, the description is not complete enough for an agent to know how to construct a valid call or interpret the return value. The purpose statement covers only the URL aspect, leaving the unrelated parameters unexplained in 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?

Although schema description coverage is 100%, the description itself adds no parameter meaning, and many schema parameters (city, feed, json, zone, query) appear unrelated to the stated purpose of returning host, scheme, and HTTP status. The schema descriptions are generic and do not align clearly with the tool's intended function.

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

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

The description clearly states the tool returns host, scheme, and HTTP status for a URL, and adds a meaningful note that page content is not stored. It names a specific verb and resource, though it does not fully clarify why the tool is named 'citation'.

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

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

The description provides no guidance on when to use this tool versus similar sibling tools like fetch-status, normalize-url, or web-fetch. It also does not mention any alternatives, limitations, or appropriate contexts.

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 claim that identifiers are not retained and values are discarded after checks, which provides some transparency about side effects. However, there is no statement about read-only behavior, potential external calls, or what the tool does with the input besides 'classifying' it.

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

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

The description is extremely short and front-loaded, with no unnecessary words. The one-sentence purpose plus a privacy note is appropriately sized for a tool of this apparent simplicity.

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

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

With no output schema, no examples, and no explanation of what 'classified' means, the description leaves too much ambiguity. An agent cannot predict the return format, the classification categories, or how to interpret the result, making the tool contextually 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?

Each parameter has a description that adds semantic context beyond the bare string type, such as 'Git ref name', 'City name for a public weather hint', and 'IANA timezone name'. These descriptions help clarify the intended role of each field, though some terms like 'shape check' remain undefined.

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 'Show how this request is classified' is vague: it does not specify what kind of request, what classification means, or what output is produced. The tool name 'compatibility' hints at a purpose but does not make it clear enough to distinguish from 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?

No guidance is given about when to use this tool versus alternatives. There is no mention of suitable scenarios, examples, or relationships to sibling tools, so an agent has no basis for selecting it over similar utilities.

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

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

With no annotations, the description carries the full burden for explaining side effects, return shape, and failure behavior. It mentions the absence of WHOIS/ownership data and some params are 'discarded', but it does not describe what the successful 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?

The main description is a single clear sentence that front-loads the core action and exclusions. It is easy to scan and free of unnecessary 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?

There is no output schema and no description of the return format or error semantics. The nine optional parameters create ambiguity about which inputs matter, and the provided context is not enough to use the tool confidently.

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

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

Schema description coverage is 100%, so the baseline is 3. The descriptions add some meaning (e.g., 'host' is a public hostname, 'url' is an HTTPS URL) but several parameters seem irrelevant to the stated domain-splitting purpose and are only 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 tool splits a hostname into labels and explicitly excludes WHOIS or ownership data, which helps distinguish it from sibling URL/domain utilities. It is specific about the resource ('hostname') and the action ('split').

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

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

The description gives no explicit guidance on when to choose this tool over siblings such as normalize-url, fetch-status, or github-repo-shape. It only states what it does not provide, not the situations in which it should be used.

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

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

The description discloses that the tool performs HEAD and returns only status, but it omits details about redirects, error handling, timeouts, and whether any side effects occur. With no annotations, this limited transparency leaves the agent guessing on failure 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 itself is a single, efficient sentence with no wasted words. However, the surrounding schema contains nine irrelevant-looking fields, which detracts from the overall structural clarity even though the prose is 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?

Given nine parameters, no required fields, no output schema, and no annotations, the one-line description is far from enough. It does not clarify which parameter is used, what the status response looks like, or how errors are surfaced.

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 descriptions are wildly mismatched with the tool purpose: 'url' is described as 'normalize or cite', while other fields mention Git refs, weather hints, RSS feeds, JSON validation, file paths, timezones, and search text. No parameter is clearly identified as the URL to HEAD, and none are required.

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

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

The description clearly states the action (HEAD) and the resource (a public URL) plus the minimal output (status only). However, it does not mention which input parameter carries the URL or distinguish itself from 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?

No guidance is provided about when to prefer this tool over siblings such as web-fetch or browser-url-ok. The one-line description only implies a lightweight HEAD check; it never states exclusions or prerequisites.

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 but only discloses that the path is discarded. It does not mention return format, validation behavior, error handling, or 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 very brief and free of filler, with each sentence contributing a fact. It is appropriately concise, though it could afford a bit more detail.

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

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

With 9 optional parameters, no output schema, and no annotations, a one-line description is severely incomplete. It does not explain what output is produced, which parameters are relevant, or how errors are handled.

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

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

Although the schema has 100% parameter description coverage, the tool description conflicts with schema wording: it calls url a Figma URL while the schema describes generic URL normalization, and it says path is discarded while the schema says path is checked. The description therefore confuses rather than clarifies parameter meaning.

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

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

The description states the verb ('Parse') and the target ('a Figma file URL'), and notes a key behavior ('Path discarded'). It does not explain what the parsed result is or how 'shape' relates, but the core purpose is identifiable.

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

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

The description provides no guidance on when to use this tool instead of the many sibling tools, such as normalize-url or web-fetch. No context or alternative selection criteria are given.

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

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

The description discloses that no disk access occurs, but does not explain what the tool returns, how 'safe' is determined, whether it accepts one parameter or many, or what happens on invalid input. With no annotations, these behavioral details are missing.

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 communicates the core action and a key safety constraint 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?

Given the complex 9-parameter schema and absent output schema, the description is incomplete: it does not identify which parameter to supply, what kind of result to expect, or how this tool differs from the sibling shape-checking tools. The 'No disk access' note is useful but insufficient.

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

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

Parameter descriptions in the schema provide 100% coverage, so the baseline is met. However, the tool description itself adds no parameter-selection guidance, and several schema descriptions ('Git ref name', 'City name for a public weather hint') feel disconnected from a file-path safety check.

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

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

The description states a clear verb and object ('check whether a path looks safe') but the input schema exposes 9 unrelated optional parameters (ref, url, city, feed, host, json, zone, query) with no indication of how they relate to a path check. The purpose becomes ambiguous because the schema contradicts the apparent narrow scope.

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 the many sibling shape/validation tools, nor any mention of required input or invocation pattern. The only additional note ('No disk access') is a safety property, not a usage condition.

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 transparency burden. It does not state whether the operation is read-only, what happens with unrecognized parameters, or what output shape to expect; the only behavioral hints are scattered 'discarded' notes in parameter descriptions.

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 concise one-liner with no filler text, and the key output (latitude and longitude) is front-loaded. It could be slightly more explicit without becoming verbose.

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

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

With no output schema, no annotations, and 9 optional parameters, the description is far too incomplete: it omits the expected input argument, the meaning of 'place', the return format, and any error 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?

Although every parameter has a schema description, the descriptions are misleading for a geo-hint tool: 'city' is described as a weather hint and 'discarded after the call', 'query' is 'discarded after the length check', and other parameters address URLs, files, JSON, and timezones. No parameter is clearly identified as the place coordinate source.

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

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

The description states the tool returns latitude and longitude for a place via Open-Meteo, giving a general purpose. However, it does not say which input parameter identifies the place, and the schema contains 9 unrelated optional parameters, so the exact purpose remains 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 description gives no guidance about when to use this tool instead of siblings such as weather-hint or normalize-url, and no required parameters or typical call pattern are indicated.

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 explaining behavior. It only states a parse action and does not mention read-only status, side effects, error behavior, or output format. Some parameter descriptions hint at side effects like discarding values, but the top-level description lacks 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 description is a single concise sentence with no filler or redundancy. It is easily scannable and front-loads the essential action and resource.

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

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

Given the lack of annotations and output schema, the description is insufficient for correct use. It does not state which parameter is required, what the parse result looks like, or how errors are handled, leaving an agent without enough context to invoke it confidently.

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

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

The schema has 9 optional string parameters with generic or seemingly unrelated descriptions. The top-level description only clarifies that 'url' is likely the GitHub URL to parse, leaving the other parameters unexplained and seemingly disconnected from the stated purpose. With no required parameters, invocation is ambiguous.

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

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

The description names a specific action (parse) and resource (GitHub URL), making the core intent clear. The tool name reinforces this purpose. However, the input schema includes many unrelated optional parameters, which somewhat muddies the apparent focus.

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 needing owner and repo from a GitHub URL. It does not explicitly mention alternatives or provide when-not-to-use guidance, though the sibling tool names suggest related URL/shape 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 explaining behavior. It only says stories are counted, but it does not disclose side effects, output format, error behavior, or whether the operation 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 very short and front-loads the core purpose. However, the second sentence 'Titles discarded' is vague and arguably unnecessary, detracting slightly from clarity.

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

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

There is no output schema, no parameter explanation, and no mention of return value or expected result format. The description is too incomplete for an agent to reliably invoke this tool with meaningful arguments or interpret the outcome.

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 lists nine optional parameters, but their descriptions are unrelated to counting Hacker News stories, such as 'Git ref name' and 'City name for a public weather hint'. The tool description itself does not clarify how any parameter should be used, making the parameter semantics misleading.

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

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

The description clearly states the tool's core action: counting current Hacker News front-page stories. However, the phrase 'Titles discarded' adds ambiguity and does not clarify whether titles are excluded from the count or from the response.

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

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

The description provides no guidance on when to use this tool versus alternatives such as web-fetch or fetch-status. There is no mention of use cases, constraints, or comparison to 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 and the description does not disclose side effects, read-only nature, data access, or return behavior. The phrase 'for clock calls' is too vague to understand what calling the tool actually does.

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 redundant content, but the brevity sacrifices necessary clarity. The structure is acceptable but not a strength.

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 parameters, no annotations, and no output schema, the description leaves out almost all contextual information needed to understand invocation, parameter roles, and expected results.

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, the descriptions appear generic and unrelated to timezone names (e.g., 'Git ref name', 'JSON text to validate'). This provides misleading or irrelevant semantics for the tool's apparent 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 identifies the domain (IANA timezone names) and intended use (clock calls), but lacks a verb or explicit outcome. It is unclear whether the tool returns a list, validates a name, or provides metadata.

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 over siblings such as timezone or utc-time, nor are any conditions, prerequisites, or use-case boundaries mentioned.

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

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

With no annotations, the description carries the full burden of explaining behavior, but it only mentions fetching and counting groups. It omits details such as how parameters are handled, whether network requests are made per param, or what happens on failure or unreachable hosts.

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 redundant wording. It communicates the core purpose and output 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 description gives a high-level purpose but lacks enough context for correct invocation: no indication of required parameters, return shape, or edge-case behavior. With no output schema and nine optional mismatched parameters, the tool is not sufficiently specified.

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

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

The schema descriptions are generic and often unrelated to robots.txt (e.g., 'city name', 'IANA timezone name', 'search text'), and several are explicitly 'discarded'. The main description does not clarify which parameters actually correspond to the robots.txt URL or host, making parameter usage misleading.

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

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

The description clearly states the specific action ('fetch a public robots.txt') and the exact output ('return group counts only'). This distinguishes it from sibling fetch-like tools such as web-fetch and fetch-status.

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

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

No guidance is provided about when to use this tool versus alternatives, nor about how to select or combine parameters. The description leaves the invocation context entirely 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?

No annotations, so description carries full burden; it only says 'Key discarded', but doesn't disclose what happens on invalid keys, whether any lookup occurs, errors, or side effects. The phrase 'discarded' suggests no side effects, but is too vague.

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 fluff, first sentence states purpose. However it is so sparse that it sacrifices needed detail, so not 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?

With no output schema and no annotations, the description must explain expected input, return value, and validity criteria; it only says 'Check a Jira issue key shape. Key discarded.' It omits which parameter carries the key and what a valid/invalid result 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 has 9 properties with descriptions, but tool description never connects any of them to a Jira key; the descriptions are generic (ref, url, city, feed, host, json, path, zone, query) and appear unrelated. Thus description adds no semantic mapping and actively confuses parameter choice.

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?

Description states 'Check a Jira issue key shape' but none of the nine schema properties is named or described as a Jira key; the input mapping is ambiguous. It distinguishes from sibling shape tools by topic, but not enough to know what to pass.

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

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

No guidance on when to use this tool instead of related shape/validation tools (e.g., github-repo-shape, validate-json), or what condition qualifies as a valid Jira key shape.

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 mentions no side effects, read-only nature, security considerations, or error behavior. With no annotations provided, this omission leaves the agent completely uninformed about the tool's operational implications.

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?

While the description is short, it is not appropriately sized for a tool with 9 parameters and an ambiguous purpose. The brevity omits critical information and fails to front-load any actionable explanation.

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

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

Given the 9 parameters and no output schema, the description provides almost no context. An agent cannot infer how to construct a valid call, what the tool does, or what kind of 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 9 parameter descriptions are generic, repetitive, and unrelated to the tool's apparent function. For example, 'city' and 'url' parameters have no clear connection to language tags, and the descriptions do not explain how each parameter is used or why it 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 is a noun phrase ('ISO 639 language tag eu.') and does not state any action or operation performed by the tool. It is unclear whether the tool validates, returns, or does something else with an ISO 639 language tag.

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 instead of any of the 25+ siblings. The description lacks any context about the intended use case or conditions that would select this tool.

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

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

The description mentions that the body is discarded, which is a behavioral note, but it does not disclose side effects, permissions, rate limits, or error behavior. With no annotations provided, this minimal disclosure is insufficient for an agent to understand full implications.

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, clear sentence with no unnecessary fluff. It is concise and easy to read, but the brevity comes at the cost of missing key details about inputs and outputs, making it slightly less effective than a more structured explanation.

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 heavily under-specified for a tool with 9 parameters and no output schema. It does not explain which parameters are needed, how they relate to the URL, or what the response format will be, leaving an agent with insufficient information to invoke it 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?

The schema has 9 parameters, each with a description, but those descriptions are generic and inconsistent with the tool's purpose (e.g., 'city' for weather hint, 'feed' for RSS). The 'url' parameter is described as 'HTTPS URL to normalize or cite', which does not match the stated 'public library docs URL' intent, confusing rather than clarifying usage.

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 it returns HTTP status for a 'public library docs URL' and discards the body, indicating a network check tool. However, it does not specify which input parameter corresponds to that URL, and the schema contains many ambiguous fields (e.g., 'url' described as 'normalize or cite'), leaving room for misinterpretation.

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 sibling tools like fetch-status or browser-url-ok. The description offers no context, prerequisites, or examples that would help an agent decide to invoke it.

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

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

With no annotations present, the description carries the full burden of explaining side effects and behavior. It only says values are discarded, but does not clarify whether the tool is read-only, what it returns, or how it handles invalid inputs.

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

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

The description is extremely concise and front-loaded—the core operation is stated in the first sentence, with a single additional clause about values. There is no redundancy or verbose 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?

The description lacks essential context: it does not specify which input parameter contains the JSON object, what the return value looks like, how invalid inputs are handled, or whether the tool interacts with memory/storage. The presence of nine unrelated schema fields makes this omission critical.

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 descriptions appear copied from unrelated tools—URL normalization, weather hints, timezones, search length—and do not map to the stated operation of counting keys in a JSON object. No parameter is identified as the JSON object whose keys are counted, so the descriptions actively mislead rather than clarify.

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

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

The description states a clear operation—count keys in a JSON object and discard values—but the schema offers no obvious parameter that holds that object; the 'json' parameter is described as text to validate, not count. This leaves the actual input ambiguous despite the short purpose statement.

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 usage guidance is provided; there is no mention of when to prefer this tool over siblings like validate-json or when not to use it. The description does not frame the appropriate context.

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

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

No annotations are provided, so the description carries the burden. It discloses the key transformation (returning components and dropping query/fragment) and implies a read-only operation, but it does not explicitly state whether the tool is local, network-free, or side-effect-free.

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 focused sentence that front-loads the purpose and includes a useful detail about query and fragment handling. 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 states the high-level output but omits the return shape and fails to address the many unrelated optional parameters in the schema. An agent cannot confidently know how to supply parameters or interpret the result from this description alone.

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

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

Although every parameter has a schema description, most are unrelated to URL normalization (city, json, zone, query, feed, ref, path, host). The tool description does not clarify that only `url` is relevant, making the parameter list actively misleading.

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

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

The description uses a specific verb and resource: 'Return origin, host, and path for a URL.' It also states that query and fragment are dropped, which distinguishes it from URL-fetching siblings, though the cluttered schema prevents a perfect score.

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

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

There is no explicit when-to-use guidance or comparison with sibling tools such as browser-url-ok, web-fetch, or fetch-status. The behavior implies a normalization use case, but alternatives are never mentioned.

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

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

It discloses that no browser is launched and that many parameters are 'discarded,' which is helpful. However, it does not mention that checking a URL likely involves a network request, nor does it describe error behavior or side effects like latency.

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 that immediately states the action and an important caveat. It is easy to read and contains no fluff.

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

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

The description is too sparse to be complete given the tool's complex schema and the existence of many sibling tools. It lacks a definition of what 'opened' means, what the return value is, and why unrelated parameters are accepted. No output schema is provided, further reducing completeness.

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 parameter descriptions are misleading and misaligned with the tool's stated purpose. The 'url' description says 'normalize or cite' rather than 'check accessibility,' and the other parameters (city, feed, zone, query, etc.) are irrelevant to URL checking, even if marked as discarded. The schema coverage is 100% but the content actively confuses.

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 core action is clear: check whether a URL can be opened. The note that no browser is launched adds implementation clarity, but 'can be opened' is left ambiguous (HTTP status, DNS resolution, etc.), so it is not fully precise.

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

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

The description gives no guidance on when to use this tool versus the many related siblings (e.g., fetch-status, normalize-url, domain-shape). It does not specify typical scenarios or when to avoid it, leaving selection to the agent.

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?

Mentions 'Query discarded' indicating no persistence, but does not clarify other side effects or if it is purely read-only. Since no annotations are provided, the description carries the burden but is only partially transparent.

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

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

One clear sentence, directly to the point, no unnecessary words.

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

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

Given the nine parameters in the schema, the description fails to explain that the other eight are irrelevant. This leaves a significant gap for the agent to know which parameters are actually required. The description is incomplete for the tool's actual usage.

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

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

The description does not specify that only the 'query' parameter is used. The schema includes eight other parameters with descriptions that appear to be decoys, but the tool description does not clarify that they are ignored. This can lead an agent to mistakenly provide irrelevant 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?

Clearly states the function: counts characters in a search query. The verb 'count' and resource 'search query' are specific, distinguishing it from sibling counting 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?

Provides no guidance on when to use this tool instead of alternatives like memory-key-count or hn-front-count. No mention of appropriate context or exclusion criteria.

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

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

No behavioral information is provided. The description does not state whether the tool is read-only, has side effects, or what it does with input parameters. With no annotations to fall back on, the description carries the full burden and fails to disclose any behavioral aspects.

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

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

The description is a single short sentence, which is concise but severely underdeveloped given the tool's complexity (9 parameters). It lacks structure and does not front-load critical details; the brevity is not matched by clarity or completeness.

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

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

The description is completely inadequate for the tool's complexity. It does not explain what the catalog contains, how to interpret results, the role of the parameters, or any output structure. With no output schema or annotations, this sparse description leaves nearly all contextual information missing.

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 parameters (ref, url, city, feed, host, json, path, zone, query) have descriptions in the schema, but these descriptions are generic and unrelated to HTTP status codes. The tool description does not explain how any parameter affects the catalog output, making the parameter semantics confusing and non-informative.

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 it provides a catalog of common HTTP status codes, which indicates the resource and general purpose. However, it lacks a specific verb (e.g., 'retrieve', 'list') and does not explain how the tool relates to its many parameters. It is distinguishable from siblings like 'fetch-status' but not fully explicit.

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. The description does not mention any scenarios, contexts, or selection criteria, leaving the agent without any direction on when this tool is appropriate.

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

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It fails to explain side effects, error cases, output format, or what 'discarded' means for each parameter. The behavior is opaque and the parameter descriptions imply unrelated side behaviors ('shape check', 'length check', 'weather hint') that are never reconciled with the stated 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 description text itself is concise (two short sentences), but the overall structure is bloated with 9 irrelevant optional parameters that add noise rather than signal. The brevity of the prose does not offset the incoherent 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 9 parameters, no output schema, and no annotations, the description is severely incomplete. It never explains what the three-step template contains, what output format is expected, why any parameter is accepted, or what happens when all parameters are omitted (which is always allowed since none 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?

Although schema description coverage is 100%, every parameter description is semantically incoherent relative to the tool purpose (e.g., 'City name for a public weather hint; discarded after the call' on a tool that returns a thinking template). The descriptions are misleading rather than clarifying, so formal coverage does not translate to meaningful 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 clear verb and object ('Return a three-step thinking template'), but the purpose is muddied by 9 parameters that are entirely unrelated to a thinking template (git refs, URLs, cities, timezones, search queries). It does not meaningfully distinguish from sibling tools, as no other sibling appears to output a template.

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

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

There is no guidance on when to use this tool versus alternatives, no prerequisites, and no context for how the surrounding 9 parameters relate to invocation. The phrase 'Prompt discarded' gives no actionable usage direction.

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

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

No annotations are provided, and the description does not disclose any side effects, read-only nature, or error conditions. For a simple lookup tool it may be safe, but the lack of transparency is a gap given the absent annotations.

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 that directly states the tool's function. No unnecessary words or redundant details are included, making it 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?

Given the complexity of the schema (9 parameters, none required, no output schema), the description is too sparse. It does not explain what the tool returns, how the timezone should be formatted, or which parameter to use, leaving out essential context for correct invocation.

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

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

The schema contains 9 parameters, many with descriptions that are clearly irrelevant to a timezone tool (e.g., 'Git ref name', 'HTTPS URL to normalize'). The description itself only mentions 'named IANA timezone' without clarifying that the 'zone' parameter is the one to use, leaving significant potential for misuse.

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 it provides the current time in a named IANA timezone, specifying a concrete verb and resource. It does not differentiate from sibling tools like utc-time, but the core purpose 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?

No guidance is given on when to use this tool versus alternatives, nor does it explain how to select the relevant parameter among the many schema fields. The minimal description leaves the agent to guess which input (zone) is appropriate.

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

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

With no annotations provided, the description carries the full burden of disclosing behavior. It merely states the result (a timestamp) but does not mention that most parameters are discarded, that the tool performs validation (per the schema descriptions), or any side effects or return details. This is a significant gap for a tool with such a complex 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 short sentence, but it is under-specification rather than conciseness. It fails to convey the tool's actual function, which involves handling multiple parameters. The brevity does not earn its place because it omits critical information.

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

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

For a tool with nine optional parameters, no required fields, and no output schema, this description is grossly incomplete. It does not explain what the tool does with the parameters, what it returns, or how it relates to the sibling tools. An agent cannot correctly invoke this tool based on this description alone.

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

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

Schema description coverage is 100%, so all parameters have explicit descriptions in the schema. The tool description adds nothing about parameters, but per the rubric, the baseline is 3 when coverage is high. However, the parameter descriptions themselves hint at the tool's true nature (e.g., 'discarded after the shape check'), which is not reinforced in the description.

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

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

The description 'Current UTC timestamp.' simply restates the tool name 'utc-time' without adding any operational detail. It fails to explain why the input schema contains nine unrelated parameters such as 'ref', 'url', 'city', and 'json', leaving the actual purpose ambiguous. This is a tautology, not a functional explanation.

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

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

There is no guidance on when to use this tool versus alternatives like 'timezone' or 'iana-zones'. The description offers no context, exclusions, or selection criteria, leaving an agent to guess the appropriate scenario for invocation.

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

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

The description discloses that the body is discarded, implying no persistence, but it does not state side effects, error behavior, or whether only the 'json' parameter is used. Since no annotations are present, the description carries the full burden and falls short on return and failure expectations.

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 main description is a single, front-loaded sentence with no filler. The tool definition overall is not concise because of the many irrelevant parameters, but the description text itself is appropriately brief.

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 omits critical context: there is no return value specification, no statement about required parameters, no explanation of unrelated fields, and no error semantics. Because there is no output schema, an agent cannot determine what success or failure 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?

The 'json' parameter is described clearly as 'JSON text to validate; discarded after the check.' However, the other eight parameters have descriptions unrelated to JSON validation and are not explained in relation to the tool's purpose, which is misleading and likely to confuse an agent.

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 core action—checking whether a body is valid JSON—and notes that the body is discarded. However, 'body' is not explicitly tied to the 'json' parameter, leaving slight ambiguity about what input is validated.

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 on when to use this tool versus any alternative, nor are prerequisites or expected invocation context mentioned. The description does not explain why eight unrelated parameters are accepted or when validation should be called.

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

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

The description discloses that Open-Meteo is used, implying an external network call, but it does not mention side effects, error behavior, or how the tool handles the many unrelated optional parameters. No annotations are provided to fill this 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 a single concise sentence with no unnecessary words. It could be more informative, but it is efficiently 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?

With no output schema, no required parameters, and a large set of seemingly irrelevant optional inputs, the description is far too incomplete for an agent to use correctly. It omits units, return format, and any explanation of the tool's actual behavior with respect to all schema fields.

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

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

The schema contains nine optional parameters, most of which have descriptions unrelated to weather (e.g., 'ref', 'feed', 'json', 'path', 'zone', 'query'), and the description does not clarify that 'city' is the meaningful input. An agent cannot reliably determine which parameters to supply or whether the others are ignored.

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

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

The description clearly states the tool returns current temperature for a city and identifies Open-Meteo as the source. It is specific enough for an agent to understand the basic purpose, though it does not mention units or the exact 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 description gives no explicit guidance on when to use this tool versus alternatives, and there is no mention of expected inputs or conditions. The only implicit guidance is that it applies to weather lookups for a city.

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

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

The only disclosed behavior is that the body is discarded. With no annotations present, the description does not mention network behavior, redirects, error handling, whether only the URL parameter is honored, or what happens with the many other parameters.

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

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

The description is extremely concise and front-loaded, using two short sentences with no filler or redundancy. It delivers the core message 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?

With nine optional parameters, no output schema, and no annotations, this description is far too thin to be complete. It fails to explain parameter usage, output format, failure modes, or the meaning of the non-URL 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?

The description itself adds no parameter semantics, and the schema descriptions are generic and largely unrelated to a web-fetch operation (e.g., 'Git ref name', 'City name for a public weather hint'). The high schema coverage is misleading because it does not clarify which parameters actually affect the HTTP fetch.

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

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

The description states a specific outcome: HTTP status and content type for a public URL, with body discarded. It is reasonably distinguishable by naming both status and content type, but it does not explicitly explain the role of the many unrelated parameters.

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

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

No usage guidance or comparison to sibling tools is provided. The description does not say when to prefer this over fetch-status, normalize-url, or inspect-robots, and it gives no context for the unrelated optional parameters.

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 notes the title is discarded after the call, but provides no other side-effect information (e.g., read-only behavior, network access, caching). No annotations are available to supplement this, leaving most behavioral aspects 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 short and tightly worded, but its brevity sacrifices essential information. It fails to connect the tool's purpose to the provided schema, making the concise structure ineffective.

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 parameters (none required) and no output schema or usage examples, an agent cannot determine how to invoke this tool correctly. The description does not bridge the gap between the stated 'check Wikipedia title' purpose and the concrete input/output behavior.

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

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

The schema descriptions for parameters like 'ref', 'url', 'city', and 'feed' are generic and appear copied from other tools; none of them semantically map to a 'Wikipedia title'. The actual input needed for the described purpose is missing, so parameter semantics are nearly useless.

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 checks whether a Wikipedia title exists, but the input schema exposes 9 unrelated parameters (ref, url, city, etc.) and no obvious slot for the title, creating a mismatch that undermines clarity.

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 relative to its many siblings (e.g., fetch-status, normalize-url, search-query-len). The description does not mention any alternative or condition for selection.

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