America/Santiago clock

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

With no annotations, the description carries the full behavioral burden. It explicitly states that task text is discarded, and the schema-level descriptions further note that several parameters are discarded after a shape check. The "Find" and "Returns" wording implies a read-only lookup, but it does not elaborate on side effects, auth, or rate limits.

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

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

Three sentences, each serving a distinct purpose: state the operation, enumerate outputs, and warn about discarded input. The information is front-loaded and 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 description names the outputs and warns about discarded task text, but it does not explain how the six parameters relate to the gateway lookup or which parameter(s) should be passed. The schema descriptions help at the field level, yet the overall calling convention remains ambiguous given no required fields and no output schema.

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 beyond what the schema already provides, though the global "Task text discarded" line reinforces that input values are not used directly.

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 ("Find") with a concrete resource ("public pay-per-call tool gateway (Monid)") and lists the deliverables (CLI setup, how-it-works, skill file, remote MCP hops). This sets it apart from the sibling tools, which are largely validation/URL/fetch utilities.

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 only caution, "Task text discarded," is a behavioral note rather than a usage condition. An agent must infer calling context from the purpose and schema.

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, description must convey behavior. It discloses that no browser is launched, but does not say whether any network request happens, whether it's read-only, or that many accepted parameters are discarded. The schema descriptions reveal discard behavior, but the main description itself leaves the tool's operation ambiguous.

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 terse sentences, front-loaded with the core action and a key caveat. No unnecessary words.

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

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

The tool has a bloated input schema with unrelated params (city, ref, json, path) and no annotations or output schema. The description doesn't clarify why these exist or what an agent should expect as a result (boolean? status?). For a function whose core purpose is a simple check, this is under-specified.

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

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

Schema covers all 7 params, many with explicit 'discarded' notes, so the description adds no parameter-level meaning. It doesn't identify url as the primary parameter or explain the presence of unrelated params. Baseline 3 applies because coverage is high.

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

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

Description states 'Check whether a URL can be opened' – a clear verb and resource. 'No browser is launched' differentiates it from sibling playwright-url-ok. However, 'can be opened' is ambiguous between syntactic validation and network reachability, so not 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 mention of when to use this versus normalize-url, fetch-status, or playwright-url-ok. The description only states what it does, not when it's appropriate, so an agent is left without routing cues.

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 side effects and behavior. It only says an expression is discarded; it does not state whether the operation is read-only, what output is produced, whether input is persisted, or what the seven schema parameters actually do.

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 front-loaded with no filler. However, brevity here becomes under-specification: the key statement conflicts with the input schema, so compactness does not translate into clarity.

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

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

For a tool with seven input parameters, no annotations, and no output schema, this description is far too thin. It omits result format, parameter roles, prerequisites, and any indication of what the agent should expect after calling it.

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 schema parameter has its own description, the tool description fails to tie 'arithmetic evaluation' to any of them and introduces a non-existent 'expression' concept. This is actively misleading rather than helpful, so the high schema coverage does not rescue 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 names a concrete action, 'Evaluate a+b style arithmetic', but the input schema exposes no expression parameter—only ref, url, city, feed, host, json, and path. The phrase 'Expression discarded' further muddies what the tool actually computes or returns, so an agent cannot map the stated purpose to any real input.

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

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

No usage context is provided: nothing explains when to call calc-eval versus sibling shape-check tools like validate-json, domain-shape, or file-path-ok. The only behavioral statement, 'Expression discarded', is not enough to infer appropriate invocation.

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

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

With no annotations, the description carries the burden for behavioral disclosure. It adds one meaningful trait—'Page content is not stored'—and states the returned fields, but it does not mention side effects, validation failures, rate limits, or whether all inputs are ignored except url.

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

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

Two short sentences, with the primary behavior front-loaded and the privacy guarantee as a useful second sentence. It reads efficiently, though the terse style underserves a seven-parameter tool.

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

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

The tool has no annotations, no output schema, and seven schema parameters, yet the description does not explain how to select among url, host, path, feed, or which inputs matter. This is insufficient for an agent to reliably 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 input schema already provides descriptions for all parameters, so this is a high-coverage case where the baseline is 3. The main description adds no parameter-level meaning, and the presence of many seemingly discarded or alternate inputs like ref, city, feed, json, and path remains unexplained.

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

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

The description specifies a concrete outcome (host, scheme, HTTP status) for a URL, so an agent can infer the tool is a citation/status check rather than a fetch or normalize operation. It does not explicitly differentiate it from sibling tools like fetch-status or normalize-url, so it lacks full sibling distinction.

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 fetch-status, normalize-url, web-fetch, or other siblings. There are no prerequisites, 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 burden. It does add a meaningful behavioral trait: 'No identifiers are retained', which conveys a privacy guarantee. It does not explicitly state that the tool is read-only, whether network access occurs, or what is returned, but the classification framing plus the retention statement provide some transparency.

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

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

The description is two short sentences and every sentence contributes: the first states the primary purpose, the second states a key privacy behavior. It is well front-loaded and contains 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?

This is a nine-parameter tool with no annotations, no output schema, and a large sibling set, so the description needs to explain what classification means, what output the caller should expect, and how this tool relates to siblings. It does none of that, leaving the agent to infer critical usage details from param names and schema descriptions alone.

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

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

Schema description coverage is 100%, so the baseline is 3. The description itself adds no parameter-level meaning, but the input schema already documents each parameter well, including lifecycle details like 'discarded after the shape check' and 'no disk access'.

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', which identifies a specific action and a general resource, so it is more than a tautology. However, 'request' and 'classified' are vague: an agent cannot tell what classification categories are produced, what inputs map to what outcomes, or how this differs from the many sibling tools such as domain-shape 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?

No guidance is given about when to call this tool versus alternatives like normalize-url, file-path-ok, validate-json, or search-query-len. The description does not state what kind of request should be sent here, whether multiple parameters are allowed, or when a sibling should be preferred instead.

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

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It does add one useful trait—that no WHOIS/ownership lookup is performed—but says nothing about return format, error behavior, case handling, IDNs, or what happens with the other seven schema parameters. This is a significant gap for a tool with a multi-property 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 sentence with no filler, front-loaded with the verb and object. It is appropriately concise, though it could trade some brevity for behavioral detail. It 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 appears simple, but the schema lists 8 optional-looking string parameters and no output schema. The description covers only hostname splitting and leaves unanswered which parameters are actually used, whether others are ignored or invalid, and what the returned labels look like. An agent cannot confidently 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?

The input schema provides descriptions for all 8 properties, so the baseline is 3. The description adds meaning for 'host' by specifying it is split into labels, but it provides no additional context for ref, url, city, feed, json, or path. The net contribution beyond the schema is modest.

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 ('Split') and resource ('a hostname'), and adds scope by excluding WHOIS or ownership data. It distinguishes the tool from enrichment-oriented tools, though it does not reference sibling tools explicitly. This is clear and specific but not perfect.

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 like normalize-url, fetch-status, or github-repo-shape. The 'without WHOIS or ownership data' clause implies a boundary but provides no explicit conditions or alternative names. An agent is left to infer applicability.

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

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

With no annotations provided, the description carries the behavioral disclosure burden. It does state the HTTP method (HEAD), the scope (public URL), and the output (status only), which is useful. However, it says nothing about handling of other input fields, redirect/os/timeouts/errors, or any side effects – leaving important behavioral unknowns.

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: 'HEAD' conveys method, 'public URL' conveys scope, and 'return status only' conveys the output.

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

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

Despite a deceptively simple description, the tool accepts seven heterogeneous parameters, has no annotations, and no output schema. The description does not explain which parameters are required or how they interact, nor what the returned status looks like. It is not complete enough for an agent to reliably call this tool across its documented interface.

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

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

The input schema describes all seven parameters, so schema coverage is high and the baseline is 3. The tool description itself adds no parameter meaning beyond 'a public URL', leaving it to the agent to infer that `url` is the primary intended input and to interpret the many 'discarded after the check' notes.

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

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

The description is clear about the core behavior: perform a HEAD request on a public URL and return only the status. This is a specific verb, resource, and output. It does not explicitly distinguish itself from sibling tools like web-fetch, browser-url-ok, or playwright-url-ok, 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?

No guidance is given about when to use this tool instead of alternatives such as web-etch or browser-url-ok. The phrase 'return status only' weakly implies a lightweight check, but there is no explicit context, exclusions, or alternative 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 full burden of explaining behavior, but it only mentions that the path is discarded. It does not state whether the operation is read-only, what it returns, or what happens with malformed URLs.

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 the main purpose. However, 'Path discarded' is so terse that it creates ambiguity, preventing 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 far too incomplete for a tool with nine optional parameters and no output schema. It does not explain the expected input URL format, the return structure, or which parameters matter, leaving an agent unable to call 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?

Although the schema descriptions cover all parameters, several appear unrelated to Figma URLs (city, feed, host, zone, etc.), and the tool description adds no clarification. The description does not help an agent understand which of the nine optional fields are actually relevant.

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

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

The description clearly states the action ('Parse') and resource ('Figma file URL'), which distinguishes it from sibling shape-checking tools. However, 'Path discarded' is ambiguous—it is unclear whether the path is an input to ignore or an output component that is removed.

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

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

No guidance is given about when to use this tool instead of the many sibling shape/URL tools. The description does not specify conditions, prerequisites, or alternatives.

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

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

With no annotations, the description itself must disclose behavioral traits. It usefully states that the tool never touches the disk, making it side-effect-free and safe to invoke. It does not, however, describe what 'safe' means, whether it returns a boolean or result object, or how invalid input is 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 extremely concise and front-loaded. Both sentences earn their place: the first names the action and resource, the second adds an important side-effect disclosure. No filler or redundant wording.

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

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

The tool has neither annotations nor an output schema, so the description must be self-sufficient. It fails to explain the return value, define 'safe', or account for the six non-path input fields shown in the schema. An agent may not know which parameters are relevant or what result to expect.

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

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

The input schema already describes all seven fields in detail, so the baseline is 3. The description adds no parameter-level meaning and does not clarify why non-path fields like city, feed, or json exist or whether only 'path' is used. Schema coverage itself carries the semantic load.

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 ('check') and resource ('a path'), and adds 'looks safe' to indicate a heuristic/shape validation. 'No disk access' helps separate it from filesystem-touching operations. However, 'safe' is left undefined, so the precise hazard being checked is still unclear.

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

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

There is no explicit statement of when to use this tool versus sibling shape-checkers such as browser-url-ok or domain-shape. 'No disk access' implies it is a lightweight pre-check before file operations, but that is an inference rather than clear 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?

Without annotations, the description carries the burden of explaining behavior, but it only states the output type and omits critical details such as which input parameter is actually used and that most parameters are ignored. The city parameter description even misleadingly says it is 'discarded after the call'.

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

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

The description is a single concise sentence with no unnecessary words, making it easy to parse and understand at a glance.

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

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

The tool has 9 optional parameters and no output schema, yet the description does not explain which parameter to provide or what the returned coordinates look like. This leaves the agent without enough context to invoke the 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 every parameter has a description, the descriptions are largely irrelevant or contradictory to the tool's purpose. For example, the city parameter is described as 'for a public weather hint; discarded after the call', which does not clarify how it is used for geocoding, and several parameters (ref, feed, json, path, etc.) have no connection to latitude/longitude.

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 'Latitude and longitude for a place via Open-Meteo' clearly identifies the tool's core purpose of returning geographic coordinates for a location, and it is distinct from sibling tools like weather-hint or 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?

No guidance is given on when to use this tool versus alternatives, nor are any prerequisites or typical invocation scenarios mentioned.

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

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It only says 'Parse owner and repo from a GitHub URL', which implies a read-only operation but does not explain behavior on invalid URLs, return format/errors, or that this tool performs no network fetch. Some discard behavior is present in input parameter descriptions, not in the tool description itself.

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, front-loaded sentence with no fluff. Every word contributes: the action and the input/output are stated directly.

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 sibling set of similar URL/shape tools and a seven-property input schema, a single-line description is insufficient. It omits which parameter to supply, what the output shape looks like, and how to handle non-GitHub or malformed URLs. The description is clear in isolation but incomplete for correct invocation in context.

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

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

The schema has high per-property description coverage, so the baseline is 3. The description adds that the `url` parameter is intended to be a GitHub URL for owner/repo extraction, but it does not clarify which of the seven disparate parameters are relevant or that irrelevant ones like city, feed, json, and path are ignored in this call. It adds only marginal meaning beyond the schema.

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

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

The description states a specific verb ('Parse'), a specific output ('owner and repo'), and a specific input scope ('GitHub URL'), which clearly distinguishes it from siblings like normalize-url, domain-shape, or figma-url-shape. This is a precise purpose statement.

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

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

The description gives no direct guidance on when to use this tool versus alternatives. It does not explicitly say to use it when a GitHub owner/repo pair is needed, nor does it exclude non-GitHub or generic URL cases. This is essentially no usage guidance beyond the implied purpose.

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

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

With no annotations, the description must carry behavioral disclosure on its own. It does disclose a meaningful behavioral trait—'Titles discarded'—and implies a live fetch by saying current, but it does not state what the return value looks like or note any network/external dependencies.

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 filler. 'Count current Hacker News front-page stories' immediately states the action, and 'Titles discarded' adds relevant behavioral detail without wasting words.

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

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

Despite the tool's simple core purpose, the surrounding context is complex: nine optional parameters, no required fields, and no output schema. The description does not indicate what the tool returns, whether it accepts no meaningful arguments, or how any of the parameters relate to counting HN stories, leaving an agent with significant gaps.

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

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

Schema description coverage is 100%, so the input schema already documents all nine parameters. The description adds no additional parameter-level meaning and does not clarify which, if any, of the unrelated optional parameters are actually used by this 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 an exact, specific operation: count current Hacker News front-page stories. The phrase 'Titles discarded' further clarifies that the result is a count, not a list of headlines, which distinguishes it from content-fetching or listing 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 choose this tool over alternatives such as web-fetch, fetch-status, or similar network tools. The description implies a use case through its purpose but provides no explicit when-to-use or when-not-to-use conditions.

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

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

There are no annotations provided, so the description carries the full behavioral burden. It discloses nothing about side effects, return values, or the fact that all parameters are discarded after a shape check (as mentioned only in the schema). This is essentially no behavioral disclosure.

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

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

At only eight words the description is concise, but it is a fragment that under-specifies the tool. It does not structure information for efficient parsing, and the single phrase fails to earn its place by conveying any actionable detail.

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

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

With seven parameters, no output schema, and no annotations, the description must explain what the tool does and returns; it does neither. The reference to 'clock calls' is unexplained and the tool's behavior remains almost entirely opaque to 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 input schema includes descriptions for all seven parameters, giving 100% schema_description_covarage. The tool description adds no parameter-specific meaning beyond the schema, so the baseline of 3 is appropriate.

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

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

The description 'Common IANA timezone names for clock calls' is a label, not a function. It lacks a verb and does not explain whether the tool lists, validates, or converts timezones. It also fails to distinguish itself from sibling tools like `timezone` and `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?

There is no guidance on when to use this tool versus alternatives. No conditions, exclusions, or alternative references are provided, leaving an agent without criteria for 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?

There are no annotations to carry the safety or side-effect profile, so the description must bear the burden. It discloses only that the return is limited ('counts only') and that the fetch is public, but says nothing about error handling, redirects, parsing behavior, or the fact that several input 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 entire description is a single efficient sentence that front-loads the resource and the output constraint. There is no filler or redundant restating 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?

With no output schema and no annotations, and with a seven-parameter schema that looks irrelevant to robots.txt, the description is incomplete for correct invocation. An agent still cannot determine which parameter to populate or what 'group counts' means precisely.

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 lists seven parameters, none of which references robots.txt, and the description does not say which one carries the robots URL or how the others should be treated. The high schema coverage does not help because the parameter descriptions, e.g. 'weather hint' and 'JSON text to validate' , appear to describe a different generic shape-checking 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 specific action—fetch a public robots.txt—and a precise output, group counts only. That is enough to distinguish this tool from generic siblings 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?

Usage is implied: use this tool when you need robots.txt group counts and the file is public. However, it never says when not to use it or which sibling tool should be preferred instead.

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 'Key discarded' discloses that the input key is not retained, which is a meaningful behavioral detail given the absence of annotations. However, the description does not state the result of the check, error behavior for invalid keys, or whether any network access or side effects occur.

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

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

The description is extremely short with no filler; the first sentence front-loads the action and resource, and the second sentence adds a behavioral note. It is concise for a simple validation tool, though it sacrifices necessary detail.

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

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

With no annotations, no output schema, and a schema whose parameters do not obviously include the Jira key, an eight-word description is insufficient. The tool definition omits the expected key format, the return value, and which parameter carries the key, leaving agents unable to invoke it correctly despite the clear overall purpose.

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 contains seven described parameters, but none is identified as the Jira issue key; the closest candidate, 'ref', is described as a Git ref name. The description does not map 'key' to any schema property, so an agent cannot reliably determine which parameter to populate.

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 'Check a Jira issue key shape' identifies a specific verb and resource, and distinguishes this tool from sibling shape checkers like github-repo-shape or domain-shape. It is terse but not a pure tautology because it names the action and target object. It does not, however, define what a valid Jira issue key shape is.

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

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

No explicit when-to-use or when-not-to-use guidance is provided. The description does not mention alternatives or situations where another sibling tool should be selected, so an agent must infer usage entirely from the tool name and general 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?

The description discloses that the body is discarded, and parameter descriptions mention side-effect-free behaviors like 'no disk access' and 'discarded after'. However, there is no annotation, no mention of errors, output format, or side effects beyond HTTP status retrieval.

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 contains no fluff. It could be more informative, but it is concise and every word contributes to the stated 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?

With nine optional parameters, no required parameters, no output schema, and no annotations, the description is far too incomplete. The agent cannot determine which inputs are relevant, what the full output will be, or how it differs from closely related sibling tools.

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

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

Each parameter has a description, but most are unrelated to the stated purpose of checking HTTP status for a library docs URL (e.g., city, feed, json, zone, query). The schema does not clarify which parameter should be passed for the intended operation, and the mismatch undermines the parameter 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 clear action and resource: returning HTTP status for a public library docs URL. However, the name 'lib-docs-hint' and the broad, unrelated parameter schema make the actual intended use ambiguous.

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

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

No guidance is given about when to use this tool versus siblings like fetch-status, browser-url-ok, playwright-url-ok, or web-fetch. The description does not mention alternatives 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?

With no annotations provided, the description carries the behavioral burden. It does disclose the key behavioral trait that values are ignored/discarded, and 'count keys' implies a read-only operation. However, it does not mention return format, error behavior, or whether any argument is required, leaving some transparency 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, front-loaded sentences with no repetition or fluff. It directly states the operation and the key behavioral constraint.

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 never explains the relationship between the JSON object and those parameters, nor what exactly is returned. An agent cannot know whether the count refers to required arguments, all present keys, or some external object.

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 confirms that values are discarded, which aligns with the repeated 'discarded after...' notes in the schema. Yet it does not clarify how the 9 optional parameters map to the 'JSON object' being counted, so an agent could easily misidentify which value is the object.

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 in a JSON object, and explicitly says values are discarded. This is clear enough to separate it from semantic tools like validate-json or normalize-url, though it does not explicitly name or contrast any sibling.

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 validate-json or any other sibling. It neither states a preferred context nor excludes alternatives, so an agent must infer usage entirely from the one-line purpose.

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

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

No annotations are provided, so the description carries the behavioral burden. It discloses the query/fragment dropping behavior, but it does not mention that many unrelated schema parameters are ignored or discarded, nor any side-effect or authorization 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?

Two concise, front-loaded sentences with no filler. The core purpose is immediately clear.

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?

Adequate for a simple normalization tool, but the schema contains 9 optional parameters and no output schema. The description does not clarify why the unrelated parameters exist or what the exact return shape is, leaving some ambiguity for the 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?

Schema descriptions already cover all parameters, so the description adds little parameter-level meaning. The URL query/fragment note is more about behavior than about clarifying individual schema properties.

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

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

States a clear action ('Return') and resource ('origin, host, and path for a URL'), and explicitly notes that query and fragment are dropped. This distinguishes it from sibling status/shape-checking 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?

Usage is implied by the purpose statement, but there is no explicit guidance about when to use this tool versus sibling URL-related tools, and no alternative tools are mentioned.

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

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

Discloses a meaningful behavioral trait: no browser is launched. However, with no annotations and no output schema, it fails to clarify whether it performs a network request, returns a boolean, or only validates URL syntax. The description carries the transparency burden but only partially meets 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?

Two short sentences with no wasted words. The action is front-loaded and the critical caveat follows immediately.

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 parameters, no annotations, and no output schema, this is too sparse. It does not explain what 'opened' means, what the agent should expect as a result, or how to choose it over siblings such as browser-url-ok or fetch-status.

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

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

Schema description coverage is 100%, so every parameter is already documented. The description adds no extra parameter-level meaning, which is acceptable at the baseline but not value-adding.

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

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

States a clear action and resource: 'Check whether a URL can be opened.' The added 'No browser is launched' distinguishes it from browser-launching sibling tools like browser-url-ok, though it leaves ambiguous whether the check is syntactic or network-based.

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

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

The no-browser caveat implies a use case where an agent wants a URL check without browser overhead, but there is no explicit when-to-use/wn-not-to-use statement or named alternative. The agent must guess which sibling to prefer.

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 explicitly states 'Query discarded,' indicating no side effects or persistence. However, it does not mention any other behavioral aspects like read-only nature or error handling.

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 without fluff. It front-loads the tool's core action and result.

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 lacks an output schema and the description does not mention what the output is (e.g., a number). Given the simple nature, this is a minor gap, but the mismatched schema parameters reduce overall completeness.

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

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

Although all 9 parameters have descriptions, the descriptions are misleading and unrelated to the tool's purpose. For example, 'url' says 'HTTPS URL to normalize or cite' and 'ref' says 'Git ref name; discarded after the shape check,' which are irrelevant to counting query characters. This could confuse an agent into thinking these parameters are meaningful.

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 counts characters in a search query and discards the query. This is a specific verb+resource combination that distinguishes it from sibling count 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 description implies usage when character count of a search query is needed, but provides no explicit comparison to alternatives or when-not-to-use guidance. Sibling tools like memory-key-count or hn-front-count are not referenced.

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 full behavioral burden. It only states that the tool is a 'catalog', implying a read-only operation, but it does not disclose output format, whether parameters are ignored, or what 'Short' means in terms of coverage. The parameter descriptions mention values being discarded, but that information 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?

The description is a single, concise sentence with no filler. It is front-loaded with the core idea, though it could have used a stronger verb. It earns its place but is too sparse to fully serve the agent alone.

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 there is no output schema and no annotations, the description is under-specified. An agent cannot confidently determine how to invoke the tool, what response to expect, or how it differs from the many sibling validation and fetch tools. The presence of seven input properties with 'discarded' semantics makes this gap more significant.

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 seven parameters, so schema coverage is high and the baseline is 3. However, the tool description does nothing to explain how these seemingly unrelated parameters relate to an HTTP status catalog, leaving the agent without meaningful guidance on what value should be supplied. The parameter descriptions add little semantic clarity, as most are described only as being 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 identifies the resource (HTTP status codes) and the tool's nature as a 'short catalog', which distinguishes it from sibling tools like fetch-status that perform live requests. However, it lacks a clear verb such as 'list' or 'look up', leaving some ambiguity about whether it returns a static list or filters by input.

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 alternatives such as fetch-status or domain-shape. The description does not state what role the many input parameters play or whether the tool is a fallback reference when other tools are unavailable.

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?

'Prompt discarded' is a meaningful behavioral disclosure: it tells the agent that the content will not be used or echoed, which supports a no-side-effect understanding. This goes beyond the input schema and gives safety-relevant context. Some details are still underspecified, but the fixed-output design keeps the behavioral surface small.

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 result and followed by the caveat. No filler words; every sentence 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 simple fixed-output tool, this is nearly complete: it states the return value and the discard behavior. It could be stronger by explicitly saying no arguments are required or that all parameters are ignored, but the optional schema and repeated 'discarded' language make that inferable.

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

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

The schema already documents all seven parameters, so the baseline is 3 even without extra description. The description says the prompt is discarded but does not explicitly state that all structured parameters are ignored, which could leave schema hints like 'URL to normalize or cite' looking misleading. It adds little per-parameter meaning beyond what the schema already provides.

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

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

States a concrete behavior: it returns a fixed three-step thinking template, and 'Prompt discarded' adds a clear scoping constraint. It is distinguishable from the sibling shape/URL/weather lookup tools by its explicit output. It does not name an alternative, but the function is unique enough that this is not a major gap.

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 when-to-use or when-not-to-use guidance is provided. The agent must infer from the name and description that this is for generating a thinking template, and no alternative or exclusion is mentioned. For a tool among many siblings, that is a notable gap.

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, yet it only states the core output and reveals nothing about error handling, network dependency, or the fact that the schema lacks any timezone parameter. It actively conflicts with the input schema by implying a 'named IANA timezone' argument that is not represented among the listed 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, tightly worded sentence with no filler, and it front-loads the core purpose. It earns the conciseness score, though it is perhaps too terse to compensate for the misleading schema.

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

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

The tool has no annotations and no output schema, and the description provides no information about required parameters, return format, or how to specify the IANA timezone. Given the bizarre input schema with seven unrelated fields and no timezone field, an agent would have no way to correctly invoke this tool from the description alone.

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

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

The input schema already provides descriptions for all seven parameters, so the baseline for parameter semantics is 3. However, the description references 'named IANA timezone' without connecting it to any schema parameter, which confuses rather than clarifies which parameter holds the timezone. This mismatch prevents the description from adding any useful parameter-level meaning.

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

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

The description clearly states the tool returns the current time for a named IANA timezone, which distinguishes it from sibling tools like utc-time and iana-zones. However, it lacks an explicit verb (e.g., 'returns' or 'gets') and does not mention how the timezone is supplied, so it is not fully explicit.

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

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

No guidance is given on when to use this tool versus alternatives like utc-time or iana-zones. There is no mention of context, exclusions, or positioning relative to siblings, leaving the agent to infer usage from the name alone.

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

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

With no annotations, the description must carry behavioral disclosure, but it only names the output. It fails to mention that all nine parameters are optional and appear to be ignored/discarded, and it does not state the timestamp format (e.g., epoch vs ISO). This is a meaningful gap given the oddly broad input 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 four words and front-loads the core meaning without any filler. It is appropriately terse for the tool's basic purpose, even though more context would be useful elsewhere.

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

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

The tool has no output schema, no annotations, and nine optional parameters, yet the description does not explain the return format, that no arguments are required, or why the schema contains unrelated fields. An agent could call it with irrelevant parameters or expect the wrong timestamp format.

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 itself adds no parameter semantics and does not warn that the many optional parameters are unrelated to getting a UTC timestamp; however, several parameter descriptions do say 'discarded', giving some hint that they are not needed.

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' clearly states the tool's output, so an agent knows what it does. It does not use an explicit verb and does not distinguish it from siblings like timezone or iana-zones, but the purpose is unambiguous.

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

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

There is no guidance on when to choose utc-time over related siblings such as timezone or iana-zones, nor any mention of when the tool is appropriate. The only usage signal is the name and the terse description, which leaves selection heuristics to the agent.

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

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

There are no annotations, so the description carries the full behavioral burden. It only discloses that the body is discarded; it does not state what the tool returns, whether invalid JSON throws or returns a failure value, or how errors are surfaced. For a validation tool, the return/error contract is the central behavior and it is missing.

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

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

Two short sentences with no filler: the core purpose is front-loaded and the discard behavior is stated in a single clause. 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 a 9-parameter schema and no output schema, the description leaves return semantics completely unspecified and never reconciles the singular 'body' with the many schema fields. An agent can guess that `json` is the input, but it cannot know what a successful check returns or whether failure is an exception.

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

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

Schema description coverage is 100%, so the baseline is 3; each parameter already has a concrete description. The tool description adds only the generic word 'body,' which maps to the `json` parameter but does not clarify whether the other eight optional parameters are intentionally 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 states the specific operation ('Check whether') and resource ('a body ... valid JSON'), and the JSON scope distinguishes it from sibling shape/ok tools such as domain-shape or browser-url-ok. The discard note reinforces that this is validation-only, not a transform or storage tool.

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

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

The description implies this is the tool to use when a JSON body needs a validity check, but it gives no explicit when-to-use/when-not-to-use guidance or alternatives. It does not say whether it handles only syntax validation or also schema validation, nor does it distinguish itself from related 'ok' and 'shape' siblings.

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 full responsibility for disclosing behavior. It mentions Open-Meteo as a source, implying a network call, but it does not state read-only status, error handling, caching, or what happens when the city is invalid or missing.

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

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

The description is a single, concise sentence with no wasted words. It immediately communicates the core function without padding.

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

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

The tool has nine optional parameters, no output schema, and no usage context, while the parameter descriptions undermine the stated purpose. An agent would not know which parameters to pass, what response to expect, or how to handle failures.

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 description, the descriptions are largely irrelevant or contradictory. The city parameter is described as 'discarded after the call,' which directly conflicts with the stated purpose, and the other eight parameters have no clear relationship to weather lookup.

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: 'Current temperature for a city via Open-Meteo.' It is clear enough about the tool's core purpose, though the name 'hint' introduces slight ambiguity about whether it returns exact or approximate 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 given about when to use this tool versus alternatives such as geo-hint or timezone. The description does not mention prerequisites, fallback behavior, or situations where the tool should not be used.

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

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

No annotations are present, so the description carries the behavioral disclosure burden. It does disclose that the body is discarded and implies a read-only network fetch of a public URL, but it does not describe error handling, redirects, timeouts, or the exact response shape. That partial disclosure is adequate but not rich.

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 behavior is front-loaded, and the body-discarded caveat is placed immediately after. 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 input schema is heterogeneous with seven string properties and there is no output schema, yet the description only covers a single URL-fetch behavior. It does not reconcile the other parameters, explain why they are discarded, or specify the return value beyond 'HTTP status and content type'. This is too thin for confident invocation in varied contexts.

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 properties, so the baseline is 3. The tool description adds only a general 'public URL' constraint and does not clarify how the many discarded parameters (ref, city, feed, json, path) relate to the actual fetch operation.

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

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

The description states a specific outcome: HTTP status and content type for a public URL. It also adds the key detail that the body is discarded. It lacks an explicit verb and does not distinguish itself from sibling fetch-status, but the core function is still identifiable.

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

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

The phrase 'for a public URL' gives a clear context for when the tool applies. However, there are no explicit when-not-to-use instructions or mentions of alternatives such as fetch-status, browser-url-ok, or normalize-url, so the agent must infer routing 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?

The description adds one behavioral note: 'Title discarded after the call.' This indicates ephemeral handling, which is useful. But annotations are all false, so they provide no safety or side-effect hints. The description does not disclose whether the check is performed over the network, whether it returns a boolean, or what 'exists' means. It adds some value but leaves much unsaid.

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 with the main purpose front-loaded and no filler words. It is appropriately concise for the amount of content it carries. It loses a point because it is so sparse that important context is missing, but that is more a completeness issue than a conciseness issue.

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

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

With no output schema and all-false annotations, the description must carry the full explanatory burden. It fails to specify how to supply the title, what the result looks like, or what 'exists' means operationally. The tool has 8 parameters and no guidance about which one is relevant, making the definition incomplete for an agent to call 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 descriptions cover all eight parameters, so the baseline schema burden is high. However, the tool description makes no attempt to map its 'Wikipedia title' concept to any parameter, and the parameter names/descriptions (e.g., 'HTTPS URL to normalize or cite', 'Git ref name') do not suggest a title input. This actively confuses parameter selection rather than adding meaning.

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

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

The description states a specific verb and resource: 'Check whether a Wikipedia title exists.' That is clear in isolation. However, the input schema has no 'title' parameter – it contains ref, url, city, feeed, host, json, path, and v – so the description does not connect to the actual tool invocation. It also doesn't differentiate from sibling validators such as browser-url-ok or playwright-url-ok beyond the word 'Wikipedia'.

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 alternatives. It does not mention exclusions, prerequisites, or scenarios where another tool would be more appropriate. The only implicit hint is that it involves Wikipedia titles, but no explicit usage context is provided.

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