Europe/San_Marino clock

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 discloses that task text is discarded and lists what the tool returns, which is useful. However, it does not mention side effects, whether the tool makes external calls, error behavior, cost implications despite the 'pay-per-call' phrase, or authentication needs.

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 three short sentences with no filler. It front-loads the core purpose, then lists outputs and the key discard behavior. Every sentence earns its place and the tool remains easy to scan.

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

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

With seven parameters, no annotations, and no output schema, the description should explain how inputs are used and what return shape to expect. It names output categories but not their format, and it does not clarify whether parameters are alternatives, required, or combined. This is adequate but leaves meaningful gaps for a tool with this much input variety.

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

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

Schema description coverage is 100%, so the baseline is 3; the schema already documents each parameter. The tool-level description adds no additional parameter semantics beyond the general note that task text is discarded, and it does not clarify how the seven heterogeneous parameters relate or which should be provided.

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

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

The description states a specific action and object: 'Find a public pay-per-call tool gateway (Monid)'. It also lists concrete outputs—CLI setup, how-it-works, skill file, and remote MCP hops—and notes that task text is discarded. This clearly distinguishes the tool from the sibling utilities like web-fetch or validate-json.

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

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

The description implies when to use the tool: when the agent needs Monid gateway setup or remote MCP hop information. However, it does not explicitly state prerequisites, parameter selection rules, or when not to use it, nor does it name alternative tools for comparison. The guidance is present but left 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 provided, the description carries the burden of behavioral disclosure. It usefully discloses the key negative behavior that no browser is launched, but does not mention network side effects, the result format, or how the varied input parameters are handled beyond what the schema hints.

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

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

The description is one tight, front-loaded sentence with no filler. The brevity is a strength, though it does leave some contextual gaps that would push it lower on 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?

This tool accepts seven loosely related parameters, has no annotations, and no output schema. The description does not explain the purpose of all these parameters, the return value, or how this tool relates to similar siblings, leaving the agent with significant ambiguity.

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 individual descriptions in the input schema, so the schema does most of the work. The tool description itself adds no additional parameter context, which is acceptable given the high schema coverage.

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

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

The description states a specific verb and resource: 'Check whether a URL can be opened,' and the clarification 'No browser is launched' distinguishes it from browser-launching siblings like playwright-url-ok. It does not explicitly name alternatives, so it stops short of a 5.

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

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

The phrase 'No browser is launched' implies this is a lightweight URL-checking tool rather than a full browser automation tool, giving some usage direction. However, it gives no explicit guidance on when to choose this over fetch-status, normalize-url, or web-fetch.

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

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

With no annotations present, the description carries the full burden of behavioral disclosure, and it only reveals that the expression is 'discarded.' It says nothing about return values, output format, error behavior, or side effects. Worse, the behavioral claim ('a+b style arithmetic') is in tension with the schema, which describes checks and normalizations with discard notes — the agent cannot tell what this tool actually does to its inputs 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?

The description is only two short sentences and is efficiently front-loaded with the action verb, so it does not waste words. However, this is under-specification rather than effective concision: the brevity omits the crucial mapping between the stated arithmetic task and the schema's actual parameters, making the tool unusable as documented.

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 on the surface (no output schema, no annotations), but the description is fundamentally disconnected from the input schema, so an agent cannot correctly invoke it for the stated purpose. It does not explain what 'evaluate' produces, how the result is returned, or which of the seven parameters is even relevant. For correct invocation, this description is inadequate.

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 high, so the baseline is 3, but the description fails to connect its stated arithmetic behavior to any parameter — no parameter accepts an expression. The agent is left unable to map the tool's described purpose onto the supplied inputs, which is a functional failure that the schema alone cannot repair. The description adds no parameter-level meaning beyond the schema's already-present per-field descriptions.

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

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

The description states a verb and object ('Evaluate a+b style arithmetic'), which superficially identifies an activity, but the input schema contains no expression or arithmetic parameter whatsoever — its seven parameters are URLs, file paths, JSON text, hostnames, and cities. The stated purpose is therefore misleading against the schema, and nothing in the description distinguishes this tool from the many sibling check/validate tools (domain-shape, validate-json, weather-hint) with which it shares parameter concepts.

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 at all about when to use calc-eval versus alternatives. The schema shares overlapping parameter concepts with siblings like normalize-url, validate-json, and weather-hint, but the description never says which tool should be chosen, what conditions select this one, or when to prefer a sibling. The only usage signal is the misleading 'Evaluate a+b style arithmetic,' which would send an agent in the wrong 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. It does disclose that the tool returns host/scheme/HTTP status and that page content is not stored, which is useful privacy/behavioral context. However, it omits auth needs, error behavior, whether a network request is made, and rate-limit 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?

Two short sentences, front-loaded with the primary purpose and a concise data-handling note. No fluff, but the brevity undersells the tool's nine-parameter surface and sibling distinctions.

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 params, no annotations, and no output schema, the description is not complete. It fails to explain how params like city, feed, json, path, zone, and query relate to the tool, and it does not distinguish this from closely named siblings.

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

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

The input schema has 100% description coverage, so the baseline applies; description adds no parameter detail. It only reinforces that the main input is a URL, while the other eight params are unmentioned 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 states a specific action and output: 'Return host, scheme, and HTTP status for a URL.' It is clear on its face, but the tool name 'citation' is not reflected, and it does not distinguish itself from siblings like fetch-status or normalize-url.

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

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

There is no when-to-use guidance, alternative comparison, or prerequisite. The phrase 'Page content is not stored' is a behavioral note, not a routing rule, so an agent cannot tell whether to choose this over web-fetch, fetch-status, or normalize-url.

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

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

With no annotations, the description carries the burden of behavioral disclosure. It does state that no identifiers are retained, and several parameter descriptions reinforce that discarded behavior. However, it does not explain what the classification actually does, whether it performs network calls, or what output shape 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 extremely short and front-loaded, but it is under-specified rather than efficiently complete. It conveys one behavioral fact but omits essential usage details for a multi-purpose 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 the tool accepts seven heterogeneous inputs and has no output schema or annotations, the description is insufficiently complete. An agent cannot reliably infer what classification means, what inputs are expected together, or what a successful call returns.

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

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

The schema already provides descriptions for every parameter, so baseline is 3. The description's repeated 'discarded after' phrasing adds privacy-relevant meaning beyond the schema and emphasizes the non-retention 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 states a verb and resource ('Show how this request is classified') but is vague about what classification means and covers a heterogeneous set of input parameters. It does not clearly differentiate itself from sibling tools that also inspect URLs, JSON, paths, or hosts.

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 instead of its many siblings (normalize-url, validate-json, file-path-ok, etc.). The description gives no context for selecting 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?

No annotations are present, so the description carries the full burden for behavioral disclosure. It does add one useful boundary ('without WHOIS or ownership data'), but it fails to state whether the operation is read-only, what the output looks like, how labels are returned, or that most input parameters like ref, city, and json are discarded rather than used.

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

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

The description is a single sentence with no wasted words and the core action is front-loaded. It is concise and scannable.

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 a simple stated purpose, the tool has 7 parameters, no output schema, and no annotations, so the one-sentence description is insufficient. It doesn't identify which parameter is used, what the return value is, whether other parameters are ignored, or any side effects. An agent would need extra inference before calling this tool correctly.

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

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

The input schema already documents all 7 parameters with per-property descriptions, so schema coverage is high and the baseline is 3. The tool description does not explicitly map 'hostname' to the 'host' parameter, but the schema's 'Public hostname' description makes that connection clear enough. The description adds no significant parameter semantics beyond the schema.

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

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

The description uses a specific verb and resource: 'Split a hostname into labels'. It also adds the clarifying scope 'without WHOIS or ownership data', which helps distinguish the tool from ownership-oriented lookups. However, it doesn't name or contrast sibling 'shape' tools, so differentiation is implied rather than 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?

The description implies the tool is for hostname shape analysis but provides no explicit guidance about when to choose this tool over alternatives like github-repo-shape, figma-url-shape, or normalize-url. There are no exclusions, prerequisites, or alternative conditions 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?

With no annotations, the description carries the disclosure burden. It does state the HTTP method (HEAD) and output scope ('status only'), which is helpful, but it fails to disclose that the schema accepts many unrelated parameters (city, feed, json, path, query, zone) and that several are described as discarded. An agent cannot tell what happens when multiple params are supplied.

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

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

The description is one tight sentence with the verb and resource front-loaded; there is no filler. It earns its place but is so short that it omits the relationship between the stated purpose and the broad schema.

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

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

For a 9-parameter tool with no output schema, no annotations, and no required parameters, a one-sentence description is insufficient. It does not explain which parameter is the primary input, whether multiple params are allowed, what status values look like, or why unrelated fields like city/json/path are present. The agent can partially reconstruct behavior from the schema but not 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?

Input schema coverage is 100%, so the parameter descriptions already document each field. The description adds only 'public URL' context and tells the agent the result is status, which does not materially improve on the schema. Baseline 3 applies.

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

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

The description clearly identifies the operation ('HEAD a public URL') and the narrow output ('return status only'), which is more specific than a vague 'check URL'. However, it doesn't differentiate by name from sibling tools like browser-url-ok or playwright-url-ok, and the 9-parameter schema makes the stated purpose look narrower than the accepted inputs.

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

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

No guidance is provided on when to use this tool instead of alternatives such as browser-url-ok, playwright-url-ok, or web-fetch. The description implies a lightweight availability/status check, but it does not state exclusions or preferred conditions, leaving the agent to infer 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?

The description adds one behavior note, 'Path discarded,' but with no annotations it carries the full burden of behavioral disclosure. It does not explain return format, failure behavior, whether network access occurs, or what 'path' refers to relative to the schema's own 'path' parameter.

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

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

The description is very short and front-loaded with no filler, but it is under-specified rather than efficiently complete. Two terse sentences do not earn high marks for structure when more needed context 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?

Given nine optional parameters, no annotations, no output schema, and a generic input schema, this one-line description is not complete enough for an agent to confidently invoke the tool. The agent must guess the expected input mapping, return value, 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?

Schema description coverage is 100%, so the baseline is 3. The description adds little parameter-level meaning and doesn't clarify which of the nine generic schema parameters is the Figma URL, though it presumably points to 'url'. This ambiguity prevents a higher score.

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

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

The description states a specific action and resource: 'Parse a Figma file URL.' This is more than a tautology and gives the agent a reasonable idea of the tool's scope. However, it doesn't specify what the parse result looks like or explicitly distinguish it from sibling shape/URL 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 like domain-shape, github-repo-shape, normalize-url, or browser-url-ok. There are no conditions, exclusions, or sibling references to help with tool selection.

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. 'No disk access' is a useful and explicit behavior, but the description does not state what 'safe' means, what return value the caller receives, or whether there are side effects beyond the check.

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: one sentence, no filler, and the key behavioral fact ('No disk access') is front-loaded. It earns its place, though the terseness leaves some gaps in 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?

There is no output schema and no annotations, so the description must explain the tool's behavior and return contract; it does not. With 9 schema parameters and 25 sibling tools, the description is too thin to let an agent confidently invoke the tool without additional inference.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no parameter-specific meaning, and the schema's many unrelated properties (ref, url, city, etc.) are not addressed. Since the path parameter is already documented in the schema, the description does not need to repeat it, but it also does not clarify how the other parameters relate to the tool.

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

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

The description states a clear verb ('Check') and resource ('a path'), with 'looks safe' indicating a syntactic validation and 'No disk access' distinguishing it from filesystem-based checks. It does not explicitly name sibling tools, but the path-vs-URL contrast is implicit; the extra unrelated input parameters slightly muddy the 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?

No guidance is given on when to use this tool versus alternatives such as browser-url-ok, wiki-title-ok, or domain-shape. There are no exclusions, prerequisites, or selection criteria, leaving the agent to infer use cases from the tool name alone.

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

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

With no annotations present, the description carries the full burden, but it only says coordinates are provided via Open-Meteo. It does not disclose response format, external-call semantics, error behavior, or what happens with the many supplied 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 a single waste-free sentence and front-loads the core behavior. There is no filler and no redundant restatement of the tool name.

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 seven parameters, no annotations, and no output schema, the description is insufficient for an agent to know which parameter to supply or what the response looks like. The confusing schema makes this gap more serious.

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 schema parameters have their own descriptions, so the high schema coverage sets the baseline at 3. The description adds the overall 'place to coordinates' purpose but does not map 'a place' to any specific parameter, leaving the large schema 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 states the tool returns latitude and longitude for a place and names the data source (Open-Meteo), which is specific enough to distinguish it from siblings like weather-hint or timezone. It lacks an explicit verb and does not identify which input is the 'place', so it is not a perfect 5.

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

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

There is no guidance about when to use geo-hint versus sibling tools, nor any mention of prerequisites, exclusions, or alternative tools. An agent must infer the use case from the description and name alone.

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

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

No annotations are provided, so the description must carry the burden. It only says 'Parse owner and repo', leaving unknown whether it performs validation, what it does with the other 8 parameters, or what the output looks like. The schema's parameter descriptions hint at discarding inputs, but the tool description itself doesn't disclose this.

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

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

A single, front-loaded sentence that avoids redundancy. Every word contributes to the core purpose, making it concise and easy to scan.

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, this one-sentence description is insufficient. It doesn't explain return values, how the tool behaves with unrelated inputs, or whether there are any side effects. Given the complexity, the description is incomplete.

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

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

Schema description coverage is 100%, so baseline is 3. The description adds that the URL should be a GitHub URL, but it does not clarify why the other 8 parameters (ref, city, feed, host, json, path, zone, query) exist or how they relate to the parsing purpose. The description slightly enhances the url parameter's meaning but leaves others 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 states a specific verb ('Parse') and a precise resource ('owner and repo from a GitHub URL'), and this clearly distinguishes it from sibling shape tools like domain-shape or figma-url-shape. An agent can immediately understand what this tool does.

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

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

The description provides no guidance on when to use this tool versus alternatives, no exclusions, and no mention of cases where another tool would be better. It only states the core action without context of competing tools.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose one meaningful behavior: titles are not returned. But it does not clarify whether the tool performs a live network fetch, whether the optional parameters affect the count, or what rate-limit/failure behavior might occur.

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

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

The description is extremely concise: two short sentences with no filler. It front-loads the action and resource, then adds the key output constraint. Every word earns its place.

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

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

Despite the tool appearing simple, the 9-parameter optional schema and lack of an output schema create real ambiguity. The description does not explain why parameters such as 'path', 'host', or 'city' appear, whether they are ignored, or what the exact return value looks like beyond a count. This is not enough for fully reliable invocation by 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?

The schema provides descriptions for all 9 optional parameters, so schema coverage is complete. However, the tool description adds no context for how these parameters relate to counting Hacker News stories; several parameters ('city', 'host', 'path', 'zone') seem unrelated, and the agent is left uncertain whether they are used or 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 a specific action ('Count') and a specific resource ('current Hacker News front-page stories'). The phrase 'Titles discarded' adds important scope information by indicating that story titles are not part of the result. It does not explicitly differentiate from sibling tools, so it stops short of a 5.

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

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

The intended use case is implied: call this tool when you need a count of current Hacker News front-page stories. However, there is no explicit guidance about when to use an alternative tool, and the limitation 'Titles discarded' is only a partial when-not signal.

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 to rely on, the description carries the full burden of behavioral disclosure and reveals nothing beyond a vague domain reference. It does not state why call output is, whether parameters are needed, or whether the function has side effects or constraints.

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 free of fluff, but it is under-specified to the point of being unhelpful. A single vague phrase does not earn full credit for conciseness because it omits essential semantic content.

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

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

The tool has no output schema and the description does not explain what the tool returns, how to invoke it, or why the listed parameters exist. It is incomplete even for a simple helper tool, as there is no actionable context 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?

The description adds no parameter-level meaning, but the schema already describes all seven properties in detail, including notes like 'discarded after the shape check'. With high schema coverage, the baseline of 3 is appropriate even though the description itself is silent about parameters.

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

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

The description is a noun phrase ('Common IANA timezone names for clock calls') with no explicit verb or action, so it does not clearly state what the tool does or returns. The name 'iana-zones' nearly repeats the description, and it does not distinguish the tool from siblings 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?

The description provides no explicit guidance on when to use this tool versus alternatives. The phrase 'for clock calls' weakly implies a relationship to clock-related tools, but there is no integration.

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

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

There are no annotations, so the description must carry the full behavioral burden. It reveals that the operation is a public, read-only fetch and that output is limited to group counts, but it does not explain failure behavior, redirect handling, or why the input schema contains many unrelated parameters with 'discarded after' semantics.

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 action and output scope.

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 input parameters and no output schema or annotations, the description is too thin. It does not explain how the schema relates to 'inspect-robots', what 'group counts' means exactly, or how to invoke the tool correctly, leaving too much to inference.

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, those descriptions are generic and often mention unrelated concerns like normalizing URLs or discarding inputs. The description never maps any of the seven parameters to the robots.txt fetch, so an agent cannot confidently tell whether to pass 'url' or 'host'.

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

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

The description names a specific verb ('Fetch'), a distinct resource ('public robots.txt'), and a precise output ('return group counts only'). This makes the tool's purpose unambiguous and separates it from generic 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?

The description implies when to use the tool: when robots.txt group counts are needed rather than full content. However, it does not explicitly state when not to use it, and it names no alternative tools, so the routing guidance is only implicit.

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

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

With no annotations, the description must disclose behavior itself. It only says the key is discarded, which is a useful no-retention hint, but it omits whether any network call is made, what a valid or invalid shape returns, or whether it validates existence vs. format. The schema mismatch further obscures behavior.

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

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

Two short sentences with no filler; 'Key discarded' adds a behavioral fact without repeating the schema. The front-loaded purpose is immediately visible.

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

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

For a tool whose schema exposes unrelated parameters and no output schema or annotations, this description is far too thin. It fails to explain the expected key parameter, the return shape, or how to interpret the result, leaving an agent unable to invoke it correctly.

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

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

The schema provides detailed descriptions for ref, url, city, feed, host, json, and path, but none of these is a Jira issue key; the description never maps 'key' to any parameter. An agent cannot determine which property to fill, so the description adds no usable parameter meaning and the schema is 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 states a concrete action ('Check') on a specific resource ('a Jira issue key shape'), which distinguishes it from sibling shape-check tools for domains, GitHub repos, or files. It does not, however, mention that this is purely a format validation and not a lookup.

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 by the name and first sentence, but the description gives no when-to-use/when-not-to-use guidance and names no alternatives among the many sibling shape tools. An agent is left to infer that this tool is only for Jira key format checking.

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

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

With no annotations, the description carries the full burden, but it only discloses that the body is discarded. It does not mention redirects, timeouts, error handling, or whether a network request is actually made, leaving important behavior unspecified.

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

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

The description is two short sentences with no filler, and the core purpose is front-loaded. It is brief, though almost too sparse given the parameter complexity.

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, this definition does not explain the return format, which parameter is the URL to check, or how it relates to sibling status tools. The agent has too much ambiguity to use it correctly.

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

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

Although the input schema has 100% property descriptions, those descriptions are generic and disconnected from this tool's purpose, e.g., url is documented as 'to normalize or cite' rather than to fetch status. The description itself gives no clue which of the nine optional parameters should be supplied, so the agent cannot confidently invoke it.

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

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

The description clearly identifies the operation as returning HTTP status for a public library docs URL and notes the body is discarded, which is specific and differentiates it from content-fetch tools. It lacks an explicit verb like 'returns' and does not name sibling tools, so it does not reach a 5.

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

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

No guidance is given for when to use this tool over related siblings such as fetch-status, browser-url-ok, or web-fetch. The phrase 'public library docs URL' gives some context but no exclusions or alternatives.

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

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

No annotations are provided, so the description carries the full burden. It usefully discloses that values are discarded, but it does not state the return format, whether nested keys are counted, how invalid JSON is handled, or what happens when no keys are present. These are meaningful behavioral gaps.

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

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

The description is two short sentences with no filler. The action is front-loaded ('Count keys in a JSON object'), and 'Values discarded' earns its place by conveying the central behavioral constraint without redundant 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?

Despite its simplicity, the description is incomplete for an agent. There is no output schema and no annotations, and the description does not state what a call returns, whether nested keys are counted, or how the 'JSON object' maps to the flat schema of nine optional string parameters. The parameter descriptions hint at the discard semantics, but the tool's contract remains 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%, giving a baseline of 3. The description adds value beyond the schema by explaining that all parameter values are irrelevant and only key presence matters, which clarifies why every schema description mentions 'discarded' and why all parameters are 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 states a specific operation ('Count keys') on a specific resource ('a JSON object') and adds the meaningful behavioral detail that values are discarded. It is reasonably distinct from validation or URL-shape siblings, though it does not explicitly name or differentiate sibling tools.

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

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

The use case is implied: use this tool when you need the number of keys in a JSON object rather than the values. However, there is no explicit guidance about when not to use it, what alternatives exist, or any preconditions, so the agent must infer usage from the terse 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?

The description voluntarily discloses a meaningful behavior—dropping query strings and fragments—and states the return fields, which matters because no annotations are provided. For a simple read-only normalization tool, this is substantial transparency, though it does not cover invalid-URL behavior or edge cases.

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

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

Two sentences deliver the core output, the input kind, and the relevant side effect with no filler. The information is front-loaded and every clause earns its place.

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

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

For a tool with eight parameters, no output schema, no annotations, and a crowded sibling list, this description is incomplete. An agent is left uncertain about selecting the right parameter, handling invalid URLs, and interpreting the exact shape of the returned origin, host, and path.

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 tool description adds no guidance about which parameter is authoritative and leaves ambiguous parameters like `feed` and `url` (both URLs). It also never clarifies that parameters such as `city`, `json`, and `ref` are ignored by this tool, so an agent cannot confidently choose inputs.

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

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

The description names the exact operation: returning origin, host, and path for a URL, and it adds the key behavior that query and fragment are dropped. This is more specific than the tool name, but it does not differentiate from URL-related siblings such as browser-url-ok or web-fetch.

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

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

There is no guidance on when to pick normalize-url over alternatives or when not to use it. With many sibling tools that involve URLs, the absence of exclusions or recommended conditions leaves the selection to guesswork.

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 behavioral burden. It does disclose one meaningful trait—'No browser is launched'—which is non-obvious given the Playwright name. However, it does not state whether a network request is made, whether redirects are followed, what counts as 'openable,' or what side effects might occur.

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

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

The definition is only two sentences with no filler. The core purpose is front-loaded, followed by a key behavioral clarification. Every word earns its place.

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

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

The tool has 9 optional parameters, no output schema, and no annotations, yet the description explains only the URL use case and nothing about the return value or how the other accepted inputs relate to the tool. An agent cannot tell what a successful result looks like or how the 'discarded' fields affect the 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?

Schema description coverage is 100%, so the input schema already documents all 9 parameters, including the fact that most are discarded after a check. The description adds no parameter-level meaning beyond 'a URL,' which is acceptable because the schema carries the needed detail.

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

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

The description states a clear verb and resource: 'Check whether a URL can be opened.' It also adds a useful negative constraint, 'No browser is launched,' which helps set expectations for a tool named playwright-url-ok. However, it does not define what 'opened' means (HTTP status? DNS resolution? syntax check?), so it stops short of full 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 browser is launched' gives an implied usage cue that this tool is not for browser-based operations, but it does not explicitly name alternatives or say when to prefer this over browser-url-ok, web-fetch, or fetch-status. The guidance is suggestive, not directive.

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

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

The phrase 'Query discarded' discloses a useful behavioral trait: the input is not retained after the call. Since no annotations are provided, the description carries the burden, but it omits other behavioral details such as the returned value or whether only certain property types are accepted.

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

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

The description is two short sentences with the core action stated first and the side-effect noted second. It is efficient and easy to parse, though the missing parameter linkage prevents it from being fully useful.

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 schema properties, no output schema, and no annotations, the description must do much more work. It fails to explain what the tool returns, which parameter represents the query, or how this tool relates to the many sibling tools, leaving the agent with a significant gap.

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

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

The schema descriptions are fairly complete for each property, giving the description a high baseline. However, the description introduces a 'search query' concept that does not appear in the schema, and it provides no mapping from any parameter to that concept, leaving the agent unable to determine which string should be counted.

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 ('Count characters') and a clear object ('a search query'), so the basic purpose is understandable. However, it never connects 'search query' to any of the nine input properties—the schema contains no 'query' field—so an agent cannot tell what operand this tool actually consumes.

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, when not to use it, or what sibling alternatives might be more appropriate. 'Query discarded' implies a one-shot, non-persistent check, but the description does not state the intended context or selection 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 annotations are provided, so the description carries the behavioral disclosure burden. It implies a read-only reference through the word 'catalog,' but it does not disclose side effects, return values, possible network behavior, or the fact that inputs are described in the schema as discarded or validated. It under-discloses without being misleading.

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, so it is concise in phrasing. However, it is too terse to be appropriately sized for a tool with seven heterogeneous parameters and no explicit operation; it sacrifices necessary substance for 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?

For a tool with seven diverse inputs and no output schema, the description is dramatically incomplete. An agent cannot tell whether this is a lookup, a validator, a router, or a network operation, nor can it connect the 'catalog' concept to the parameter descriptions. The definition does not provide enough 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 input schema provides detailed descriptions for all seven parameters, so schema coverage is high and the baseline is 3. The description itself adds no meaning to these parameters and does not explain how parameters like 'city' or 'feed' relate to a catalog of HTTP status codes, but the schema-level descriptions prevent this dimension from failing.

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 that almost restates the name: 'status-catalog' becomes 'catalog of common HTTP status codes.' It never states what action the tool performs, what it returns, or how it relates to its seven heterogeneous inputs. It does not distinguish the tool from siblings such as 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 guidance on when to use this tool versus alternatives. The phrase 'short catalog' is the only context hint, but it does not say what inputs are appropriate, what output to expect, or when to choose a sibling tool like fetch-status or normalize-url.

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

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

Because no annotations are provided, the description carries the burden of behavioral disclosure. The phrase 'Prompt discarded' clearly communicates that the tool ignores the input prompt, which is useful and non-obvious. It stops short of stating whether all seven parameters are ignored, but that is partially covered by the schema.

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

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

Two short sentences state the main action first and add the key caveat second. There is no filler.

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

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

The core fact that it returns a fixed three-step template is present, and the schema covers the parameter names. However, no output schema exists and the description does not explain what the template looks like or explicitly say that no parameters are needed, so an agent has to infer invocation details.

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

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

All seven parameters have descriptions in the schema, so the schema already carries the semantic load. The description adds only the generic 'Prompt discarded' line and does not clarify how the disparate parameters (URL, city, JSON, path) relate to a thinking template; this keeps it at the baseline rather than above.

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 action ('Return') and a concrete resource ('three-step thinking template'), so an agent can understand the basic function. It does not detail what the template contains or how it differs from other tools, but the core purpose is not hidden.

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 conditions or alternatives for when to use think-steps instead of sibling tools such as validate-json, normalize-url, or weather-hint. It only says what the tool returns, not when 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?

There are no annotations, so the description carries the full burden of behavioral disclosure. Saying 'Current time' only restates the core function and does not disclose output shape, failure behavior, rate limits, or that most parameters are discarded.

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

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

The description is a single, front-loaded sentence with no filler. It is concise, but the brevity is achieved by omitting necessary contextual 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?

With a seven-parameter schema full of 'discarded' parameters, no annotations, and no output schema, the description is far too thin. It does not explain how to provide a 'named IANA timezone' or what the tool returns, making correct invocation nearly impossible.

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 descriptions, so the baseline is higher, but the description introduces 'IANA timezone' while no parameter description references timezones. The description thus fails to map the tool's purpose to any specific input, leaving the agent to guess among ref, url, city, feed, host, json, 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 states a concrete action: returning the current time for a named IANA timezone. This semantically distinguishes it from siblings like utc-time and iana-zones, though it does not name them. The clarity is weakened by the fact that no schema parameter obviously represents a timezone.

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 explicit guidance on when to use this tool versus alternatives such as utc-time or iana-zones. It also does not mention prerequisites like the expected timezone format or that many schema parameters are discarded.

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

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only states the output value. It does not mention that parameters are discarded or ignored, whether any network or disk access occurs, what the timestamp format is, or that the call is non-mutating. The schema hints at discard behavior, but the description never confirms 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 text is short and free of fluff, but it is under-specified rather than appropriately concise. A one-sentence noun phrase cannot carry the behavioral and usage context needed for a tool with nine optional parameters and no annotations.

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

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

The definition omits the return format, parameter handling, and selection criteria, and there is no output schema or annotations to compensate. An agent cannot tell whether passing zone or url changes the result or whether it should call the tool with no arguments. The core behavior is hinted, but not enough context is provided for reliable invocation.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no parameter-level meaning, but each parameter already has a description in the schema, so repetition is not needed. However, it also does not clarify why a timestamp tool accepts nine unrelated optional parameters.

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

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

The description 'Current UTC timestamp' essentially restates the tool name 'utc-time' with synonyms and provides no explicit verb or operation. It does not distinguish the tool from siblings like timezone or iana-zones, and it leaves the nine unrelated input parameters unexplained.

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

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

There is no guidance about when to use this tool instead of alternatives such as timezone or iana-zones, and no mention of which parameter combinations are valid or intended. The description only implies 'for current UTC time,' which is not enough to route an agent effectively.

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

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

The description adds a meaningful behavioral detail: the input body is discarded. This is useful context since no annotations are provided. However, it does not disclose the return value, error behavior, or whether invalid JSON produces a specific response.

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

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

The description is two short sentences with no filler, and the main purpose is stated first. It is concise and well-structured for quick parsing.

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 wording, the tool has seven input parameters, no output schema, and no annotations. The description omits the return format, which parameters are required, and how the tool should be used in context, making it incomplete for reliable invocation.

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

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

The schema already provides descriptions for all seven parameters, so the baseline is met. The description adds little beyond the schema, and it fails to clarify how the generic 'body' relates to the `json` parameter or why unrelated parameters like `url`, `city`, and `path` exist.

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 ('Check whether a body is valid JSON') and clearly identifies the tool's domain, distinguishing it from sibling URL/shape validators. However, it refers to a 'body' while the schema exposes a `json` parameter, leaving some ambiguity about what exactly should be passed.

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, and no mention of prerequisites or exclusions. An agent could infer it is for JSON validation from the name, but the description provides no explicit selection 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?

With no annotations, the description carries the full burden of behavioral disclosure. It only reveals that an external Open-Meteo call is involved; it does not mention side effects, rate limits, error behavior, or the notable fact that most parameters are discarded after a check, which is only disclosed in the schema.

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

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

The description is a single, efficient sentence with the core information front-loaded and no filler. However, it is somewhat too terse to resolve the confusion caused by the seven-parameter schema, so it is not a perfect score.

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 incomplete for an agent facing a schema with many unrelated parameters and no output schema. It does not explain why the other parameters exist, how the tool should be invoked, or what the response contains, leaving significant ambiguity.

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 for all seven parameters, so the baseline is 3. The description adds no parameter syntax or format details and fails to clarify that city is the relevant parameter while the others are unrelated or 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's purpose: returning the current temperature for a city via Open-Meteo. It is easy to distinguish from sibling tools like geo-hint, but it does not use an explicit verb and does not explicitly differentiate itself from alternatives.

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

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

There is no guidance on when to use this tool versus other hint tools, nor any explanation of how to choose among the seven parameters. The schema suggests multiple unrelated input modes, but the description gives no selection criteria or exclusions.

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

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

With no annotations provided, the description carries the disclosure burden. It adds useful behavioral context by stating that the body is discarded and that only the HTTP status and content type are relevant. However, it does not mention redirects, timeout behavior, error handling, authentication, or the exact response format.

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

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

Two short, front-loaded sentences with no filler. Both sentences carry useful information: the operation result and the key behavioral caveat that the body is discarded.

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

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

Given 9 parameters, no output schema, and no annotations, the description is too sparse to fully support invocation. An agent cannot tell which parameter is the primary input, how the unrelated parameters are treated, or what the expected output/error shape is. This is a significant gap for a tool with this level of schema complexity.

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

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

The schema already describes all parameters with 100% coverage, so the description does not need to repeat them. However, it adds little about how the many non-URL parameters (city, zone, query, json, etc.) relate to the stated fetch behavior, and the url parameter's schema description ('normalize or cite') does not align perfectly with the status/content-type 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 states a specific operation: return HTTP status and content type for a public URL, and explicitly notes that the body is discarded. This is clear and distinguishes the tool from content-fetching tools, though it does not explicitly differentiate it from similar siblings like 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?

The description gives a useful boundary ('public URL', 'body discarded') but provides no explicit guidance on when to prefer this tool over alternatives such as fetch-status, browser-url-ok, or normalize-url. There are no exclusions or alternative routing hints.

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 behavioral disclosure. It offers one useful behavioral detail—'Title discarded after the call'—and implies a read-only existence check, but it does not explain network behavior, response format, errors, or rate limits, leaving much operational behavior unspecified.

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 appropriately sized at two short sentences, with the core purpose front-loaded and no unnecessary filler. The extra sentence about discarding the title adds behavioral context without redundancy.

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

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

This tool has seven parameters, no annotations, and no output schema, yet the description only provides a one-line purpose and a discard note. It fails to specify required fields, which parameter carries the title, what the tool returns, or how the other parameters relate to the operation, making correct invocation impossible to derive.

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 describes all seven parameters, but the tool description adds no parameter-level meaning and crucially never identifies which parameter should contain the Wikipedia title. An agent cannot reliably determine how to invoke the tool, despite the schema's high coverage.

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

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

The description clearly states the tool's purpose: checking whether a Wikipedia title exists. It names a specific verb and resource, which distinguishes it from sibling tools like domain-shape or validate-json. However, the input schema contains no obvious `title` parameter, so the stated purpose does not map cleanly onto the actual inputs, which weakens 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 versus alternatives such as validate-json or the other shape-checking siblings. The description only states what the tool does, with no mention of conditions, exclusions, or alternative tools.

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