Atlantic/Reykjavik clock

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

No annotations are provided, so the description carries the behavioral transparency burden. It does disclose that task text and several parameter values are discarded after processing, which is meaningful privacy-relevant context. It does not mention permissions, rate limits, side effects, or error behavior, but for a read-only lookup tool the data-handling note covers the main concern.

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 well-structured sentence that front-loads the core purpose and output. It wastes no words and includes a relevant behavioral note without going off-topic.

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 parameters and no output schema or annotations, so the description needs to provide enough context for correct invocation. It lists the return contents and discarding behavior, but does not explain how the various parameters are used or which are required, leaving some ambiguity for an agent deciding what to pass.

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

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

Schema description coverage is 100%, so the input schema already documents each of the seven string parameters. The tool description adds no extra semantics about how these parameters relate to finding the Monid gateway; it mostly restates that some values are discarded, which the schema also mentions.

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 ('Find') and a concrete resource ('public pay-per-call tool gateway (Monid)'), then lists the expected outputs (CLI setup, how-it-works, skill file, remote MCP hops). This makes the tool's role distinct from the many sibling utilities such as web-fetch or normalize-url.

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

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

The description implies when to use the tool: when you need the Monid pay-per-call gateway and its setup details. However, it gives no explicit guidance about when not to use it or how it compares to alternatives among the 27 siblings, leaving usage 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 supplied, the description itself discloses one meaningful behavior: no browser is launched, so the call is likely safe and side-effect-free. However, it doesn't state whether a network request is made, what side effects could occur, or what 'can be opened' is based on; the behavioral contract 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?

The description is a single front-loaded sentence with no filler. Every word earns its place, and the key safety insight ('No browser is launched') is positioned immediately after the purpose.

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

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

This is a 7-parameter tool with no output schema and no annotations, yet the description doesn't define what result is returned, what makes a URL 'ok', or which parameter is primary. The schema clarifies parameter purposes but the overall contract remains under-specified for an agent to confidently use 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?

All seven schema parameters have individual descriptions, so schema coverage is high and the description need not repeat parameter details. The description adds no parameter-specific meaning (e.g., which field is the URL to check), but baseline of 3 is appropriate because the schema does the heavy lifting.

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 verb-resource pair: 'Check whether a URL can be opened.' The explicit 'No browser is launched' helps distinguish it from sibling playwright-url-ok, though it doesn't define what 'opened' means (HTTP status, DNS, syntax). Still, the core purpose is recognizably specific.

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 'No browser is launched' implies this is a lightweight, non-navigation check and indirectly contrasts with browser-launching tools, but the description gives no explicit when-to-use or when-not-to-use guidance and doesn't name alternatives. Usage context is implied rather than stated.

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 adds one behavioral cue — 'Expression discarded' — but omits whether the result is returned, whether there are side effects, or what happens on invalid input. This is minimal disclosure.

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

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

The description is two short sentences with no filler. The purpose is front-loaded and the behavioral note 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?

There is no output schema and no annotations, yet the description never says what the tool returns. More critically, the arithmetic 'expression' is not represented in the input schema, so an agent cannot determine how to pass the required input. This is a critical completeness failure.

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

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

The input schema provides descriptions for all seven parameters, so the baseline is 3 even though the description adds nothing about them. However, the description references an 'expression' concept that does not appear in the schema, creating a notable mapping gap.

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

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

The description states a clear verb and resource: 'Evaluate a+b style arithmetic.' This distinguishes it from sibling shape-checking and validation tools. However, it is terse and does not clarify whether the tool returns a result or only validates the expression.

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

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

There is no guidance on when to use this tool versus alternatives, no exclusions, and no mention of prerequisites. The phrase 'Expression discarded' hints at behavior but not at 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 disclosure burden, but it only reveals that 'Page content is not stored.' It does not disclose that most of the nine parameters are discarded after a check, nor does it cover network behavior, error handling, or authentication. The privacy note is useful but far from a complete behavioral profile.

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

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

The description is compact: two sentences with no filler, front-loading the output and adding a relevant privacy note. However, for a tool with nine parameters and many siblings, the brevity borders on under-specification rather than pure conciseness.

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 and no output schema, so the description must stand alone. It gives the core output but leaves selection guidance, the role of the eight non-URL parameters, and behavior on invalid inputs implicit. This is incomplete for a tool with nine optional parameters and a large sibling set.

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

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

Schema description coverage is 100%, so the schema already documents every parameter, making 3 the baseline. The description does not add much per-parameter meaning; 'for a URL' simply points at the url parameter, which the schema already labels. No compensation is offered for the auxiliary parameters beyond their schema text.

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

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

The description states a concrete operation and output: 'Return host, scheme, and HTTP status for a URL.' The added note 'Page content is not stored' helps position it against content-fetching siblings, though it never names an alternative. It is clear but does not explicitly differentiate from related tools like fetch-status or normalize-url.

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

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

There is no guidance about when to use this tool versus alternatives such as fetch-status, normalize-url, or web-fetch. No conditions, exclusions, or prerequisites are given; an agent would have to infer the intended use from the output description alone. This is effectively no 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?

The description mentions that no identifiers are retained, which addresses privacy, but it does not disclose other behaviors such as side effects, read-only nature, or what happens to the input data. Given no annotations are present, this partial disclosure is insufficient.

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

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

The description is very concise, consisting of a single sentence. While brevity is generally good, it is too under-specified to be useful. It lacks examples, structure, or any elaboration on the classification logic.

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 and no output schema, the description is completely inadequate. It does not explain what the tool returns, how the parameters are used, or what 'classified' means. An agent would have no idea what to expect from the tool or how to 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?

While each parameter has a description, they are simply restatements of the parameter names (e.g., 'Git ref name' for ref, 'HTTPS URL' for url). Without context on how the classification works, the meaning and interrelation of these parameters remain unclear. The descriptions add minimal value beyond the schema itself.

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

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

The description says 'Show how this request is classified' but does not specify what classification means or what aspect is being checked. It is not a tautology, but it is too vague to distinguish from sibling tools that also inspect requests or data.

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 of the 27 sibling tools. The description does not mention conditions, scenarios, or examples that would help an agent choose 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?

There are no annotations, so the description carries the full burden. It usefully discloses that the tool does not provide WHOIS or ownership data, but it does not mention validation behavior, return format, handling of invalid hostnames, or any error conditions. This is partial transparency with meaningful gaps.

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

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

The description is a single, front-loaded sentence with no filler. Every word contributes to the core meaning and the key limitation is stated 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?

Despite the simple phrasing, the tool has no output schema, no annotations, and a seven-property input schema with no required fields. The description does not explain return values, which field to populate, or what happens with invalid input, so an agent lacks 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 input schema already provides descriptions for all seven properties, so schema coverage is high and the baseline is 3. The description adds nothing beyond the schema about which parameter to use or how values should be formatted; it only says 'hostname' generically.

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

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

The description uses a specific verb and resource ('Split a hostname into labels') and adds a scope limitation ('without WHOIS or ownership data'), which helps distinguish it from ownership-oriented lookups. It does not explicitly distinguish it from sibling shape tools, but the hostname focus is clear 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?

The description implies it is for hostname splitting, but it gives no explicit when-to-use guidance, no exclusions, and no mention of alternatives such as normalize-url or github-repo-shape. An agent must infer the appropriate context from the name and description alone.

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

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

With no annotations, the description has the full burden and does disclose the key behavior: it issues an HTTP HEAD request and returns only the status, implying no body is fetched. However, it does not mention redirect handling, error behavior, or which schema parameters actually participate in the request, leaving transparency 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 one front-loaded sentence with no filler: every word conveys a distinct constraint (method, audience, output scope). It is appropriately sized for a simple tool, even though other dimensions carry the cost of its 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?

Given nine optional parameters, no output schema, no annotations, and many sibling URL/status tools, the description is not complete enough for confident invocation. An agent cannot tell how to construct the call (which parameter to pass), what the returned status looks like, or when this is preferable to sibling tools.

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

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

Schema description coverage is 100%, so without parameter details in the description the baseline of 3 applies. The description adds no parameter-level meaning and does not indicate that 'url' is the primary input, but the schema already documents each parameter's discard behavior.

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

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

The description names a specific operation ('HEAD'), a target ('public URL'), and an outcome ('return status only'), so an agent can separate it from content-fetching tools like web-fetch. It does not name any sibling or explicitly distinguish itself from browser-url-ok/playwright-url-ok, and the nine-parameter schema makes the intended use less obvious than it should be.

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 siblings such as browser-url-ok, playwright-url-ok, or web-fetch, and no when-not-to-use conditions. The only usage signal is implied by the verb 'HEAD a public URL'.

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

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

Annotations are absent, so the description carries the full burden. It only discloses that something called 'Path' is discarded; it does not state whether the call is read-only, what it returns, how invalid URLs are handled, or any other behavioral traits.

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

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

The description is very short and front-loaded, with no filler. It is concise, though the terseness also contributes to its ambiguity.

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

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

With no annotations, no output schema, and a six-word description, an agent cannot confidently predict the return value, failure behavior, or which parameter to populate among the nine schema properties. The mismatch between the Figma-specific description and the broad schema increases the gap.

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

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

Schema description coverage is 100%, so the baseline is 3; the description adds little beyond naming the URL context. The schema already documents each parameter, though the many unrelated optional properties create ambiguity about which one the tool actually uses.

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'. This distinguishes it from generic URL tools like normalize-url or domain-shape, though 'Path discarded' is ambiguous and the parse output is not described.

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 resource mention implies this tool is for Figma file URLs, but there is no explicit guidance about when not to use it or which sibling tool is preferable for generic URLs. This is implied usage, not clear routing.

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

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

With no annotations, the description carries the burden; it does disclose the key trait 'No disk access', which is useful. But it does not explain what constitutes a safe path, whether the tool has other side effects, or what it 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?

Two short sentences front-load the purpose and add one high-value safety qualifier. No waste.

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 input schema, the description is too thin: it omits return semantics, the meaning of 'safe', and any guidance about the irrelevant-looking parameters. An agent could call it correctly by passing path, but would be guessing about output and 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?

All nine parameters have descriptions in the schema, so the schema already carries the semantic weight; the description adds little beyond identifying path as the subject. The unrelated parameters (url, zone, query, etc.) are not reconciled with the file-path 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?

Description names the verb and object ('check whether a path looks safe') and makes the domain clear, distinguishing it from URL/domain/wiki siblings. However, 'safe' is left undefined and no sibling tool is named, so it falls short of a fully precise purpose.

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

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

No explicit guidance on when to use this tool versus the many sibling shape-checkers (e.g., browser-url-ok, domain-shape, validate-json). 'No disk access' hints at a pure syntactic check but does not state when to prefer it over 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 present, the description carries the full burden for behavioral disclosure. It reveals only that Open-Meteo is used, not whether the call is read-only, network-dependent, or what happens to inputs; several parameter descriptions mention data being discarded, but that context is in the schema, not the tool description.

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

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

One sentence with no filler and the key function is front-loaded. It is concise, though the brevity comes at the cost of missing invocation guidance.

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

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

Given the seven heterogeneous parameters, no output schema, and no annotations, a single sentence is not enough for an agent to call the tool reliably. The description omits which parameter to pass, the expected return shape, and any constraints or failure 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?

All seven parameters already have schema descriptions, so the schema coverage is high and the description need not repeat them. However, the description adds no guidance that the 'city' parameter is the one relevant to geocoding among the many unrelated fields.

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

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

The description identifies the tool's core function: returning latitude and longitude for a place, and names the backend (Open-Meteo). This makes the geocoding intent clear and distinguishes it from weather-oriented siblings, but it lacks a verb such as 'returns' and does not mention the relevant input parameter.

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

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

There is no guidance about when to choose geo-hint over alternatives like weather-hint or timezone, and no exclusions are given. The description implies a location lookup but never states what input an agent should provide.

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, but it only says 'parse' and does not disclose whether the tool fetches, validates, or returns only owner/repo. The schema's repeated 'discarded' notes hint that unrelated params are ignored, but the description itself does not explain the result shape or error behavior.

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

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

The description is a single short sentence with a clear front-loaded verb and object. There is no filler or redundant content; its weakness is coverage rather than wordiness.

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, nine optional parameters (several unrelated to GitHub), and many similar sibling tools. The description alone does not tell an agent what the tool returns, which parameters are meaningful, or how it differs from normalize-url or browser-url-ok, so completeness is low.

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

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

All 9 parameters have 100% schema description coverage, so the baseline is adequate. The description adds the GitHub-specific scope of 'url' and the owner/repo extraction intent, but it does not address the many unrelated optional parameters such as city, feed, json, host, and path.

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

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

The description identifies a specific verb ('Parse'), a specific resource ('owner and repo'), and a source ('GitHub URL'), which clearly distinguishes it from sibling URL/shape tools like normalize-url or figma-url-shape. It is direct and not a tautology.

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

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

There is no explicit when-to-use or when-not-to-use guidance, and no alternative tools are named. The GitHub URL phrase implies the intended context, but the agent is left to infer when this tool should be preferred over normalize-url or browser-url-ok.

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

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

With no annotations provided, the description carries the burden of disclosing behavior. It does disclose one useful trait: titles are discarded, meaning the tool only produces a count. Still, it does not mention whether a live network fetch is made, what the return format is, or any rate-limit or caching considerations, so transparency 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 two short sentences with no filler. The core function is front-loaded, and 'Titles discarded' is an efficient clarifying statement that 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 is simple enough that an agent can infer a no-argument call, but the unusually broad 9-parameter schema and lack of an output schema create ambiguity. The description never clarifies whether any parameter should be supplied or what the exact return shape is, so the context is not fully complete.

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

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

Schema description coverage is 100%, so the baseline is 3 even though the description adds no parameter-level detail. The description does not explain which of the 9 optional parameters, if any, are relevant to this tool, but the schema itself already documents each parameter.

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

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

The description states a specific verb ('Count') and a concrete resource ('current Hacker News front-page stories'), clearly distinguishing this tool from the sibling validators and fetchers. It also adds a clarifying behavioral note that titles are discarded, which removes ambiguity about what the count includes.

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 by the purpose: an agent would use this when it needs the number of current HN front-page stories. However, the description does not explicitly say when to prefer this over alternatives, nor does it mention any 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?

There are no annotations, so the description carries the full burden of disclosing behavior. It does not mention read/write nature, side effects, return values, or what happens to inputs. The schema's repeated 'discarded after the shape check' is outside the description and itself ambiguous, leaving the actual behavior 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 extremely short with no wasted words, but it is under-specified rather than appropriately concise. It omits critical operational information and fails to earn its place as a usable tool description.

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 tool has 7 parameters, no annotations, and no output schema, the one-sentence description is completely inadequate. An agent has no idea what inputs to provide, what the tool returns, or what action it performs. The description is far short of the minimum needed 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?

Schema coverage is 100%—every parameter has a type and a brief hint (e.g., 'Git ref name; discarded after the shape check'). The description adds no parameter information, so the baseline 3 applies for high schema coverage. However, the schema descriptions are repetitive and do not clarify how parameters relate to IANA timezone names, so no higher score is warranted.

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 without a clear verb or action: 'Common IANA timezone names for clock calls.' It could mean the tool returns a list, validates names, or something else. The schema's seven unrelated parameters (ref, url, city, feed, host, json, path) actively obscure the purpose, and there is no differentiation from sibling tools like 'timezone' or 'utc-time'.

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

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

No guidance is provided about when to use this tool versus the many siblings. There is no mention of context, prerequisites, exclusions, or alternative tools. An agent would have no way to know if this tool is the right one for a given task.

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 full responsibility for behavioral disclosure. It mentions that the robots.txt is public and that only group counts are returned, but it does not explain how the URL/host is selected, what failures occur, whether redirects are followed, or what network behavior to expect.

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, efficient sentence with no filler. It front-loads the action and explicitly scopes the output with 'group counts only.'

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 large, partially unrelated input schema and the absence of an output schema or annotations, the description is too thin. It does not tell the agent which parameter to populate, what 'group counts' refers to in robots.txt terms, or how to handle errors. This leaves a meaningful gap between the stated purpose and the actual 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 lists seven parameters, each with its own description, but none of those descriptions connect to fetching robots.txt. The description does not clarify whether host or url is the relevant input, and several parameters (city, feed, json, ref, path) appear unrelated. High schema coverage cannot compensate for the lack of semantic alignment.

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 ('Fetch') and resource ('robots.txt') and specifies the return shape ('group counts only'). It clearly communicates what the tool does, though it does not explicitly differentiate it from sibling tools like web-fetch or fetch-status.

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

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

There is no guidance on when to use this tool versus alternatives such as web-fetch, normalize-url, or domain-shape. No conditions, prerequisites, or exclusions are mentioned, so the agent has to infer 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?

With no annotations present, the description carries the behavioral disclosure burden. It does disclose that the key is discarded, which is a useful privacy-relevant behavior. However, it does not describe return values, error behavior, or whether the check is purely local, 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 very compact, with no redundant words, and the main action is front-loaded. The second sentence is extremely elliptical and somewhat cryptic, but the overall structure is appropriately concise for a simple check tool.

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

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

Given a seven-parameter schema and no output schema, the description is not complete enough for an agent to invoke the tool reliably. It lacks any explanation of which parameter contains the Jira key, what the tool returns, or how to interpret the result. The description reads more like a label than an operational spec.

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 seven properties, none of which is named 'key,' and the description does not map the Jira key concept to any specific parameter. Although each property has a schema description, the description fails to explain how the Jira key input is supplied. 'Key discarded' does not resolve this ambiguity.

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 a Jira issue key shape.' This clearly indicates the tool's function and distinguishes it from sibling shape-check tools like domain-shape or github-repo-shape. The second sentence, 'Key discarded,' is a behavior note rather than a purpose statement, so the core purpose is clear but minimally stated.

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 sibling shape/validation tools. It does not mention exclusions, alternatives, or context such as 'use this when you need to validate a Jira issue key.' The intended usage is implied only by the tool name and the word 'Jira,' not explicitly explained.

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 does disclose that the HTTP response body is discarded, which is useful. But it does not explain behavior around multiple supplied parameters, redirects, errors, or auth, and the schema's 'discarded after' notes are not reinforced in the description.

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

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

The description is very short and front-loads the core behavior in the first sentence. Every word earns its place, and there is no fluff. It is under-specified in other dimensions, but as a concise summary it is effective.

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 optional parameters, no annotations, no output schema, and a cluster of URL-related sibling tools, the description is not sufficient for safe invocation. It does not clarify which parameter drives the call, what the return value looks like, or how to choose this tool over fetch-status or browser-url-ok. The definition leaves too much to the agent's guesswork.

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

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

The input schema has 100% description coverage, so the baseline is 3 even though the tool description adds no parameter-level detail. The description's 'public library docs URL' phrase slightly narrows the `url` parameter but also conflicts with the schema's more generic 'HTTPS URL to normalize or cite' wording. Overall, the schema does the heavy lifting.

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 ('HTTP status') and a specific resource ('public library docs URL'), so the core purpose is clear. It is somewhat distinguished from generic URL-checking siblings by the 'library docs' scope and the 'Body discarded' note. However, it does not explicitly contrast with siblings, and the wide schema of unrelated parameters slightly muddies the stated 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?

The description gives no guidance about when to use this tool versus the many similar siblings like fetch-status, browser-url-ok, or normalize-url. It also does not explain whether to pass only `url` or how the other schema parameters like `city`, `json`, or `query` relate to this tool. An agent is left to infer invocation 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 burden and does disclose one important behavioral trait: values are discarded, so the tool returns only a count. However, it does not state whether it counts top-level keys only, what the return value looks like, or how errors are handled.

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

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

Two short sentences with no filler; the core action is front-loaded and the behavioral note about discarded values earns its place. This is appropriately concise for a simple counting tool.

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

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

For a tool with 9 optional, seemingly unrelated parameters and no output schema or annotations, this description is incomplete. It does not clarify how the JSON object is passed, which keys count, or what result to expect, leaving the invocation contract ambiguous.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no direct parameter mapping: it does not explain which parameter supplies the JSON object or that any subset of the optional properties contributes to the key count. The `json` parameter description even says 'validate' rather than 'count', creating ambiguity.

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

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

The description clearly states a specific action and resource: count keys in a JSON object. The added phrase 'Values discarded' further clarifies behavior, but it does not distinguish this tool from siblings like validate-json or search-query-len by name or explicit contrast.

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

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

There is no guidance about when to choose this tool over alternatives, nor any prerequisites or exclusions. The only usage hint is the implied need to count keys, which is just a restatement of the function rather than a selection guideline.

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

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

With no annotations, the description carries the full burden and provides meaningful behavior: it returns origin/host/path and states that query and fragment are dropped. It does not mention error handling or clarify the ambiguous 'or cite' wording from the schema, but the core transformation is disclosed.

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

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

Two short sentences with no filler; the primary output is front-loaded and the second sentence adds a key behavioral detail. The description is efficient 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?

The description adequately explains return values and dropped components, but it does not specify which schema parameter to pass, how errors are handled, or why six unrelated parameters appear. For a tool with no output schema and no annotations, that leaves avoidable ambiguity for an agent.

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

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

All seven parameters have schema descriptions, so the schema carries most parameter meaning; the description adds the fact that URL is the subject being normalized. However, the many unrelated parameters labeled 'discarded' create ambiguity about which input is truly required or optional.

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 origin, host, and path for a URL and explicitly says query and fragment are dropped, giving a specific verb and resource. It is distinct in function from fetch/status/browser siblings, but it does not explicitly name or contrast an alternative tool.

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

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

No guidance is given about when to choose this tool over siblings like fetch-status, domain-shape, or browser-url-ok. The only usage hint is implicit in the output description; there are no exclusions, prerequisites, or alternative tool references.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals one important trait—no browser is launched—but does not state whether a network request is made, whether the URL is only checked for shape, or what side effects occur. This is insufficient for a tool with no annotation safety profile.

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

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

The description is very brief, front-loads the purpose, and avoids filler. The second sentence 'No browser is launched' adds a meaningful boundary. It is slightly too sparse to earn a 5, but it is well structured and concise.

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

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

The description does not explain return values, output shape, or the meaning of 'can be opened.' There is no output schema and no annotations to compensate. With 9 optional parameters and no required fields, an agent gets too little context to reliably interpret the result or relate the parameters to the check.

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

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

All 9 parameters have descriptions in the schema, so the schema already covers parameters well and the baseline is 3. The description itself adds no parameter-level context and does not explain how the URL check relates to parameters like ref, city, zone, or query.

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

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

The description uses a specific verb and resource: 'Check whether a URL can be opened.' The added caveat 'No browser is launched' helps differentiate from browser-based alternatives such as browser-url-ok. However, 'can be opened' is somewhat ambiguous—it could mean reachability, validity, or syntax—and does not fully distinguish the tool from fetch-status or web-fetch.

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

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

There is no explicit guidance about when to use this tool versus its siblings. The negative statement 'No browser is launched' implies a lightweight check, but it does not name alternatives, state conditions, or describe 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 carries the behavioral disclosure burden. The statement 'Query discarded' is a useful transparency signal, indicating that the input is not retained. However, the description does not clarify which input is discarded, what the tool returns, or how multiple schema properties are handled.

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

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

The description is two short, front-loaded sentences with no wasted words. 'Count characters in a search query' states the core action immediately, and 'Query discarded' adds a meaningful side effect. It is concise without being 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?

For a tool with seven parameters and no output schema or annotations, the description is incomplete. It fails to specify which parameter contains the query, what the return value looks like, or how to choose this tool among many similar siblings. An agent would struggle to invoke this tool correctly based on 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?

Although each schema property has a description (high schema coverage), the tool description introduces a 'search query' concept that has no corresponding parameter. It does not help an agent determine whether to pass url, path, json, or another field. The description is therefore actively ambiguous rather than additive to the schema.

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

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

The description states a specific operation (count characters) and the object (a search query), so it is not a tautology. However, the input schema contains no 'query' property, and the description does not indicate which of the seven parameters is the search query. It also does not distinguish the tool from sibling count/shape tools like memory-key-count or url-shape.

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

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

The description gives no explicit guidance about when to use this tool versus alternatives. With many sibling tools such as url-shape, domain-shape, and validate-json, an agent has no basis for selecting this one. The phrase 'search query' suggests a use case but does not connect it to the schema or exclude other tools.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'short catalog' and does not state whether the operation is read-only, what the response looks like, or how the various parameters are treated despite the schema descriptions suggesting many are 'discarded'.

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

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

The description is a single concise sentence with no filler, and the core purpose is front-loaded. However, its brevity contributes to missing context elsewhere, so it earns a 4 rather than 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 seven parameters, no annotations, and no output schema, this one-sentence description is not enough to know how to invoke the tool or interpret its results. It does not explain which parameter to pass, why the parameters are discarded, or what the catalog 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 input schema provides descriptions for all seven parameters, so the schema coverage is high and the baseline is 3. The tool description adds no connection between these parameters and the catalog of HTTP status codes, leaving their relevance unexplained, but the schema itself documents each parameter individually.

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 as a short catalog of common HTTP status codes, naming both the resource and its scope ('short', 'common'). It is not a tautology because it adds 'HTTP status codes' and qualifies the catalog, but it does not differentiate from sibling tools such as fetch-status or compatibility.

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

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

The description gives no guidance on when to use this tool versus alternatives like fetch-status, domain-shape, or browser-url-ok. There is no mention of the intended use case, prerequisites, or exclusions, so the agent must infer when this catalog is relevant.

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 the key behavioral trait that the prompt is discarded, implying inputs are ignored. With no annotations provided, this is the only behavioral disclosure. However, it is ambiguous whether 'prompt' refers to the entire request or a specific parameter, and it does not mention that the template is static or that all nine parameters are irrelevant.

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

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

The description is a single sentence, highly concise and front-loaded with the main purpose. It wastes no words, though it could arguably include a bit more detail about the template without losing efficiency.

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 that the tool has nine parameters (even if discarded) and no output schema, the description is incomplete. It does not explain what the three-step thinking template looks like, how it relates to the inputs, or why an agent would invoke this tool. The phrase 'Prompt discarded' raises more questions than it answers.

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%, with each parameter individually described as discarded or used only for a shape check. The tool description adds no additional meaning about parameters beyond what the schema already states, so it meets the baseline for fully 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 states a clear verb and resource: 'Return a three-step thinking template.' It is distinct from sibling tools, which focus on URLs, files, timezones, etc. However, it does not explain what the template contains or why it exists, so it is clear but not fully specified.

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 phrase 'Prompt discarded' hints that it ignores inputs, but there is no context about typical use cases, exclusions, or why an agent would call this instead of another tool.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only mentions the output type. It does not describe side effects, error behavior, whether the timezone must be valid, or how unrelated schema parameters such as ref, url, json, and path 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 one short sentence with no filler and it front-loads the core function. However, it is under-specified given that the schema provides unrelated fields and the main timezone input is absent.

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 a schema with seven parameters that do not obviously relate to a timezone query. A single sentence saying 'Current time in a named IANA timezone' is not enough for an agent 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?

Although all listed schema parameters have descriptions, the key concept from the tool description, a named IANA timezone, has no corresponding parameter in the schema. The description adds no information about how to pass the timezone, so the central parameter mapping is unclear.

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 function: returning the current time for a named IANA timezone. This distinguishes it from sibling tools like utc-time and iana-zones, though it does not explain how the required timezone would be supplied given the input schema.

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

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

There is no guidance on when to use this tool versus alternatives such as utc-time or iana-zones, nor any note about prerequisites like validating the IANA timezone name. The intended usage is only implied by the tool name and the short 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?

With no annotations, the description carries the full burden of disclosing behavior. It does not mention whether the tool is read-only, how it handles the listed parameters, or what output format is returned.

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 that is immediately understandable. It is front-loaded and free of unnecessary detail.

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

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

The tool has nine optional parameters and no output schema, yet the description provides no context about how those parameters are used, why they exist, or what a successful result looks like. This is a significant completeness gap.

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

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

Although the schema provides 100% description coverage, the parameter descriptions seem unrelated to a UTC timestamp tool (e.g., 'Git ref name', 'HTTPS URL', 'JSON text') and no explanation connects them to the tool's behavior. The schema coverage baseline is lowered by this 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 clearly states the tool returns the current UTC timestamp, which is a specific and identifiable purpose. However, it does not explicitly distinguish it from the sibling 'timezone' tool, so some ambiguity remains.

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 like 'timezone' or 'iana-zones'. There is also no mention that the many input parameters appear to be irrelevant or ignored.

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 weight; it does disclose that the body is discarded, which clarifies non-persistence. However, it does not state return behavior (e.g., boolean or error details) or what happens with invalid JSON.

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, and the second sentence adds a useful behavioral note. It is optimally sized for a simple validation 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 and the schema fully documents the parameters, so an agent can identify the 'json' input. Still, there is no output schema and no description of the result/error format, which leaves a meaningful gap for a tool an agent must 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 input schema gives each of the seven string parameters a description, so schema coverage is high and the description does not need to repeat parameter details. The description adds no parameter-level meaning beyond referring generically to 'the body', so the schema baseline applies.

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

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

The description clearly names the action ('Check') and the target ('body is valid JSON'), so an agent can tell this is the JSON-validity checker. It doesn't explicitly contrast it with sibling shape/format validators, but the name and resource make the purpose unambiguous.

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

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

The intended use is implied: use when JSON validity needs to be verified. There is no explicit 'use when / do not use when' guidance or mention of alternatives such as domain-shape or file-path-ok.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It states that the tool calls Open-Meteo but does not mention whether it is read-only, what parameters are actually used versus discarded, whether an API key is needed, or what the response contains. This is insufficient context for a tool with an unusually broad 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 clear sentence that is front-loaded with the core functionality. Every word earns its place and there is no redundant 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?

The tool has seven parameters, no annotations, and no output schema, yet the description only explains the basic purpose. It does not tell the agent which parameter to populate, that the other parameters are discarded, what unit the temperature is returned in, or how the tool behaves on failure. This is incomplete for a reliable call.

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

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

The input schema already provides descriptions for all seven parameters, so schema coverage is high and the baseline is 3. The description only adds that 'city' is the relevant parameter, but it does not clarify that other parameters like ref, url, feed, host, json, and path are irrelevant to this tool's actual 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 identifies the tool's function: returning the current temperature for a city, with the data source Open-Meteo. It does not use a strong verb and does not explicitly differentiate it from sibling tools, but the purpose is unmistakable.

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

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

The description provides no guidance about when to use this tool instead of siblings like geo-hint, timezone, or web-fetch. There is no mention of appropriate conditions, exclusions, or alternatives, leaving the agent to infer usage entirely from the tool name.

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

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

With no annotations, the description carries the behavioral disclosure burden. It does disclose that the body is discarded, which is an important non-obvious behavior. However, it does not mention redirects, timeouts, error behavior, or whether content-type detection follows a standard algorithm.

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

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

The description is very concise and front-loaded, with no filler. The core output is stated first and the body-discarded caveat second. It is efficient, though it may be too terse to fully support tool selection.

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 tool has 9 optional parameters, no output schema, and no annotations, this description is not complete enough. It does not explain which parameter should be used as the URL, what the response shape looks like, or how failures are reported. The agent is left to infer too much.

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

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

Schema description coverage is 100%, so the baseline is 3. The description reinforces that the URL should be public and that the result is limited to status/content-type, but it does not help the agent choose among the many optional parameters in the schema. It adds minimal value beyond parameter names and descriptions.

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

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

The description clearly states the tool's purpose: returning HTTP status and content type for a public URL. 'Body discarded' adds scope and distinguishes it from content-fetching tools. However, it does not explicitly differentiate it from the similarly named sibling `fetch-status`.

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

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

There is no guidance on when to use this tool versus alternatives like `browser-url-ok` or `fetch-status`. The phrase 'public URL' implies a scope restriction, but no explicit when/when-not criteria or alternative recommendations 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 the title is discarded after the call, which is useful, but it describes a read-only existence check while the annotations declare destructiveHint:true. This is an annotation contradiction because the described behavior is not destructive to any external state.

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 redundant wording; the core action is front-loaded and the discard note adds a meaningful behavioral detail without bloat.

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

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

Despite the simple tool shape, the description fails to explain how to supply the title (no schema mapping), omits return-value information (no output schema), and gives no usage boundaries. The conflicting annotations further reduce its reliability.

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

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

The schema provides descriptions for all 8 parameters, but none corresponds to the 'Wikipedia title' the tool is supposed to check. The description does not map the title to any input property (title, url, path, etc.), leaving an agent unable to select the correct parameter.

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

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

The description states a concrete action ('Check whether a Wikipedia title exists') with a clear subject and object. It is distinct from the generic sibling shape-check tools, though it does not explicitly name an alternative.

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 sibling validators (e.g., domain-shape, jira-key-shape). The description provides no context about acceptable input formats or exclusions.

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