FNV-1 hex, input discarded

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 discloses that task text is discarded and that connection methods are returned, implying a read-only lookup. However, it does not state external calls, rate limits, auth requirements, or the exact return structure, leaving some behavioral ambiguity.

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 sentences with the purpose front-loaded and concrete examples. No wasted words; it efficiently communicates the core function and a key behavioral note.

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 and no output schema, the description gives a high-level purpose but does not specify which parameters are relevant for which task or how to interpret the returned connection methods. More guidance on parameter selection or output format would improve 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?

Schema coverage is 100% with each parameter having a description. The tool description adds minimal extra meaning beyond noting discarding behavior, which is already reflected in the schema. It does not explain how parameters map to tasks or their interplay, so it adds little beyond the schema.

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

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

The description clearly states the verb 'Find' with a specific resource: 'public pay-per-call tool gateway', and lists example tasks (weather, search, scrape, voice). This distinguishes it from sibling tools that actually perform those tasks, even though no alternatives are named explicitly.

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

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

It gives context on when to use it (for tasks like weather, search, scrape, voice) but does not explicitly contrast with siblings or state when not to use it. The large sibling list lacks exclusions, leaving usage guidance implied rather than explicit.

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

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

The description only states that no browser is launched, which is a minimal behavioral disclosure. It does not mention whether network requests are made, whether the tool is read-only, what side effects might occur, or what happens on failure. Without annotations, the description carries the full burden and falls short.

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, but it is not well structured or informative. It omits essential context about parameters and behavior, making the brevity a drawback rather than a strength.

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

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

The tool has nine parameters, no output schema, and no examples or return-value information. The description is far too sparse to let an agent call this tool correctly, especially given the apparent mismatch between the description and the parameter list.

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

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

While the schema covers 100% of the parameters, most descriptions are terse and inconsistent with the stated URL-checking purpose. For example, 'url' is described as 'HTTPS URL to normalize or cite' rather than something to check, and parameters like city, zone, and query are not explained in relation to the tool's 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 clear verb and object ('Check whether a URL can be opened'), but the input schema contains nine largely unrelated parameters (e.g., city, timezone, query), creating significant confusion about the tool's actual scope. The name suggests URL checking, but the schema and descriptions do not align with that purpose.

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

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

No guidance is given about when to use this tool versus sibling tools such as fetch-status, normalize-url, web-fetch, or playwright-url-ok. There is no indication of which situations prefer this tool over alternatives, nor any 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?

The phrase 'Expression discarded' hints that the input is not persisted, but it does not explicitly state read-only behavior, side effects, or whether any external state is modified. With no annotations provided, the description carries the full burden and only partially discloses the tool's behavior.

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

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

The description is brief and front-loaded with the purpose, but it omits essential operational details such as which parameter contains the expression and what the return value looks like. It is concise but not well-structured enough to be usable.

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

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

Given a complex schema with nine unrelated parameters and no output schema, the description is far from complete. It does not explain how the parameters relate to the arithmetic evaluation, what result is returned, or how an agent should map a user request to the correct input.

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 covers 100% of parameters with descriptions, those descriptions are unrelated to arithmetic evaluation: ref, url, city, feed, host, json, path, zone, and query each describe a different domain and are marked as 'discarded'. There is no parameter for the expression 'a+b', so the schema does not help an agent invoke this tool correctly.

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: 'Evaluate a+b style arithmetic.' However, it is vague about what 'a+b style' means and none of the nine input parameters correspond to an arithmetic expression or operands. This makes the tool's actual purpose ambiguous and difficult to distinguish from a generic check 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?

There is no guidance on when to use this tool versus alternatives such as validate-json, search-query-len, or other check-style tools. The description does not mention any preconditions, typical scenarios, or how to specify the expression to evaluate.

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 page content is not stored, which is a useful privacy/behavioral detail and no annotations are provided. However, it does not mention network access, rate limits, or any other side effects, so transparency is only partial.

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

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

The description is brief, front-loaded with the core purpose, and contains no redundant or promotional language. It is appropriately concise for the stated function.

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

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

Given the lack of annotations and output schema, the description does not fully explain expected output format, error conditions, or how the many optional parameters relate to the tool's purpose. The description is too sparse for the schema's 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?

All parameters have schema descriptions, but the tool description only mentions URL while the schema includes many apparently unrelated fields like city, zone, json, and query. This mismatch makes parameter purpose confusing and reduces the added 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 clearly states a specific action—return host, scheme, and HTTP status for a URL—and identifies the resource. It also distinguishes itself from content-fetching tools by explicitly noting that page content is not stored.

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 a use case (checking URL metadata) but does not explicitly say when to use this tool over siblings like web-fetch, fetch-status, or normalize-url. No alternative tools or conditions 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?

With no annotations, the description carries the full burden of explaining behavior, but it only mentions that identifiers are not retained. It does not state whether the tool performs read-only checks, how it processes inputs, or what side effects (if any) exist. The classification logic is entirely opaque.

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 or repetition. It is well-structured and directly states the core function, even if that function is under-specified.

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

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

Given the complexity of 9 parameters and the absence of an output schema, the description is severely incomplete. It fails to explain what the classification result looks like, how the parameters interact, or what inputs are required for specific outcomes. An agent would have no way to predict the tool's 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?

Each parameter has a description, and the schema coverage is 100%. However, the descriptions are minimal and do not clarify how each input contributes to the classification. For example, 'discarded after the shape check' implies a validation step but does not explain the relationship between 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 says 'Show how this request is classified' but does not specify what kind of classification is performed or what the output represents. The tool name 'compatibility' hints at a purpose, but the description alone is too vague to understand the tool's core function.

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 indication of when to use this tool versus any of the many sibling tools. The description provides no conditions, examples, or context that would help an agent choose this tool over alternatives like validate-json 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 transparency burden. It does disclose that the tool does not retrieve WHOIS or ownership data, but it says nothing about side effects, network access, error behavior, or whether the operation is purely local.

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

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

The description is a single concise sentence that front-loads the core action and adds a meaningful scope limitation. It earns its place, though it could be slightly more explicit about input and 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?

Given the optional, mostly irrelevant parameter list and no output schema, the description is insufficiently complete. It does not specify which parameter to supply, what the returned labels look like, or how edge cases (e.g., invalid hostnames) are handled.

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

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

Although the schema descriptions cover all parameters, most are irrelevant to a hostname splitter (e.g., ref, city, feed, json, path, zone, query) and are marked as 'discarded', which is confusing. The description does not tell the agent which parameter to use; only the 'host' parameter is obviously related, but nothing distinguishes it as the intended input.

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

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

The description clearly states the action (splits a hostname) and the resource (hostname), and distinguishes it from ownership lookups with the 'without WHOIS or ownership data' clause. However, it doesn't name a sibling tool or elaborate on the 'shape' aspect, so it is clear but not fully differentiated.

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 offers no guidance on when to use this tool versus alternatives such as figma-url-shape, github-repo-shape, or normalize-url. The only usage hint is a negative statement about WHOIS/ownership data, leaving the agent to infer appropriate use cases.

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

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

No annotations are provided, so the description carries the burden. It discloses the safe HEAD method and the limited status-only output, but it does not mention redirects, error handling, timeouts, or other behavioral traits.

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

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

The description is a single, focused sentence with no wasted words. It front-loads the 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?

With nine optional parameters, no output schema, and no annotations, the description is too minimal to fully guide correct invocation. It does not explain how the extra parameters relate to the tool or what values are expected.

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 poorly aligned with the tool's stated purpose. The URL description, for example, says 'normalize or cite' rather than 'HEAD target,' and the other eight parameters are unexplained in the main 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 explicitly states the HTTP verb (HEAD), the target resource (a public URL), and the output (status only). This clearly differentiates it from sibling tools like web-fetch or browser-url-ok.

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

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

There is no guidance about when to prefer this tool over siblings such as web-fetch or normalize-url. The description implies it is for status checks, but it does not explicitly state when not to use it.

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

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

With no annotations provided, the description carries the full burden of explaining side effects, return value, validation behavior, and failure modes. It only mentions that the path is discarded, giving little insight into what the tool actually does beyond that.

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 one sentence and avoids bloat, but it packs essential information too tightly and provides no structural breakdown. It is concise but not well-structured enough to compensate for the missing 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?

Given nine optional parameters, no output schema, and no annotations, the description is far from complete. It does not explain the output shape, error behavior, or how the many parameters are used, leaving substantial gaps 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?

Although the schema has 100% description coverage, the parameter descriptions are generic and appear mismatched with the stated Figma URL purpose (e.g., 'url' says normalize/cite, and parameters like 'city' and 'feed' are unrelated). The description adds no clarification about which parameters apply or how they relate to parsing a Figma URL.

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 action ('Parse') and target ('Figma file URL'), making its primary purpose evident. It distinguishes this from more general URL tools by naming Figma specifically, though 'Path discarded' is slightly 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?

There is no guidance about when to choose this tool over alternatives such as normalize-url or github-repo-shape, nor any mention of situations where it should not be used. The one-line description leaves the selection decision to inference.

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

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

The description discloses one behavioral aspect (no disk access) but does not explain return format, side effects, or failure modes. With no annotations, the description carries the burden but covers only minimal detail.

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

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

The description is a single, clear sentence with no unnecessary words. It is well-structured and to the point.

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 the tool's actual scope due to the mismatched parameter set and absence of an output schema. An agent would not understand how to use the unrelated parameters 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?

Although all 9 parameters have descriptions, most are irrelevant to the tool's stated purpose (e.g., city, timezone, RSS feed). Only 'path' aligns with 'file-path-ok', creating confusion and poor semantic match.

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

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

The description clearly states the tool checks whether a path looks safe and explicitly notes no disk access. This distinguishes it from sibling URL-checking tools like browser-url-ok and playwright-url-ok.

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

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

The description provides no information on when to use this tool versus alternatives, nor any conditions or prerequisites. No guidance is given beyond the basic function.

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, and the description gives no information about return values, side effects, or actual behavior. The claim that input is discarded is vague and conflicts with parameter descriptions suggesting actions like normalizing, validating, or checking.

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, but it is too terse to be useful. The parameter descriptions are individually concise, yet the overall structure fails to communicate the tool's purpose or operation.

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

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

With no output schema, no annotations, no required parameters, and a cryptic one-line description, the tool definition is far from complete. An agent would not know what action to expect or how to interpret any result.

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

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

The schema has 100% description coverage, but the descriptions are inconsistent with the tool description and often state that the values are discarded. They do not clarify how any parameter affects the tool's behavior, so they add little meaningful semantic value.

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 'FNV-1 hex, input discarded' is a fragment with no verb or clear resource. It does not state whether the tool computes a hash, validates something, or performs an unrelated operation, and it is impossible to distinguish from sibling tools.

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

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

There is no guidance on when to use this tool versus any of the many sibling tools. The description and parameter hints do not explain a scenario or intended invocation.

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

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

The description indicates an external service call ('via Open-Meteo'), which implies network activity, but it does not disclose potential side effects, rate limits, or whether the operation is read-only. With no annotations, this minimal transparency is insufficient.

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

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

The description is a single, concise sentence with no extraneous words. However, its brevity sacrifices necessary detail, so while it is well-structured, it is too sparse to be fully effective.

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

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

Given the tool has nine optional parameters and no required ones, the description fails to explain how to invoke it correctly. It does not identify the key input (place name) or provide any usage context, leaving the tool practically unusable 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?

The schema descriptions are confusing and mostly irrelevant to the stated purpose (e.g., 'Git ref name; discarded after the shape check', 'City name for a public weather hint'). The tool description does not clarify which parameter carries the place name, so the parameter meanings remain unclear and disjointed.

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 output ('latitude and longitude for a place') and mentions the underlying service (Open-Meteo), but it does not specify which of the nine optional parameters represents the place. This ambiguity reduces clarity about the tool's exact purpose.

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

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

There is no guidance on when to use this tool versus alternatives like weather-hint or timezone. No conditions, exclusions, or examples are provided, leaving the model without direction on 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?

No annotations are present, so the description must carry the full burden of behavioral disclosure. It does not mention return format, error behavior, or that the extra parameters are discarded, leaving significant uncertainty for an agent.

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 fluff, front-loading the core action. It is appropriately concise for a simple parsing 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 accepts 9 parameters, but only URL seems relevant based on the description; the others are not explained as ignored. No output schema is provided, and the return value is not described, leaving the tool incomplete for an agent to use correctly.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no meaning beyond the schema; it only implicitly references the URL parameter without elaborating on any of the other 8 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 clearly states the tool parses owner and repo from a GitHub URL, using a specific verb and resource. It distinguishes itself from sibling shape tools like domain-shape or figma-url-shape.

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

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

No guidance is provided on when to use this tool versus alternatives, no conditions, prerequisites, or exclusions are mentioned. The only hint is the name and the brief description, which is not explicit.

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

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

With no annotations, the description carries the full burden of disclosing side effects, permissions, or network usage. The only behavioral note is 'Titles discarded,' which is insufficient to understand whether the tool is read-only, makes external requests, or has other implications.

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

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

The description is very brief and to the point, using just two sentences to convey the core action and a behavioral detail. It is easy to parse and does not waste words, though it lacks any structured introduction to parameters or additional context.

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

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

The tool appears simple, but the description is incomplete because it fails to connect the nine unrelated parameters to the tool's purpose. The expansive and contradictory schema makes the tool's behavior ambiguous, and the absence of an output schema or explanation of parameter usage leaves significant gaps in understanding.

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 nine parameters, each with descriptions that are entirely unrelated to the tool's stated purpose (e.g., 'Git ref name', 'HTTPS URL to normalize or cite', 'City name for a public weather hint'). The tool description does not explain how any of these parameters relate to counting Hacker News stories, and the schema descriptions appear to be copy-pasted from other tools, rendering them misleading.

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

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

The description clearly specifies the action (count) and the target resource (current Hacker News front-page stories). It also adds a behavioral nuance ('Titles discarded'), which further distinguishes the tool's exact purpose from generic fetching or searching 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 does not provide any guidance on when to use this tool compared to alternatives like web-fetch or fetch-status. It gives no context about the typical use case or limitations that would help an agent decide between tools.

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

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

No annotations are provided, so the description carries the full burden. It only mentions 'clock calls' but does not disclose side effects, return behavior, or the fact that several parameters are discarded after validation (as implied by the schema). The tool's behavior is entirely opaque.

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 one sentence, which is extremely brief, but this is under-specification rather than efficient conciseness. It omits essential information and does not earn its brevity.

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

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

With 9 parameters, no output schema, and no annotations, the description is drastically incomplete. It does not explain what the tool does, what it returns, or how the parameters are used. An agent cannot reliably select or invoke this tool 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?

Schema description coverage is 100%, so the baseline is 3. The tool description adds no extra meaning about parameters; the schema itself already documents each parameter. The description does not explain how the parameters relate to timezone names or the tool's function.

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

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

The description 'Common IANA timezone names for clock calls' is a noun phrase without a verb. It does not state what action the tool performs (e.g., validate, list, or map), and it does not differentiate from sibling tools like 'timezone' or 'utc-time'. It is more than a tautology but 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 guidance on when to use this tool, when not to, or which alternatives to prefer. The description provides no context about scenarios where this tool is appropriate.

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

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

With no annotations, the description carries the full burden of describing side effects. It says 'return group counts only' but does not explicitly state that the operation is read-only, whether it follows redirects, or what happens on fetch failure or missing robots.txt.

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 redundancy, front-loading the core action and result. While it is terse, it earns its place and is not padded, though it omits needed context that other dimensions capture.

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

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

Given the complex, seemingly mismatched schema and no output schema or annotations, the description is far from complete. An agent cannot confidently determine which parameters to supply, what 'group counts' means, or what output format 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 schema contains nine optional parameters whose descriptions are generic and often unrelated to fetching robots.txt (e.g., 'Git ref name; discarded after the shape check', 'City name for a public weather hint'). The description does not explain which parameters are actually used or how they map to the tool's purpose, making invocation 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 clearly states a specific verb ('Fetch'), a resource ('public robots.txt'), and an outcome ('return group counts only'). It distinguishes the tool from web-fetch and fetch-status by focusing on robots.txt group counts, though it does not specify how the target URL is provided.

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 sibling tools like web-fetch or normalize-url. The description mentions no prerequisites, no examples, and no conditions that would indicate appropriate usage.

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

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

With no annotations provided, the description carries some behavioral burden. 'Key discarded' suggests the key is not retained or returned, which is a useful privacy/behavioral signal, but it is ambiguous and does not disclose side effects, output, or error behavior.

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

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

The description is very short and front-loaded with the main action. The second sentence 'Key discarded' is cryptic but not verbose, so the overall structure is compact; clarity is the main weakness rather than conciseness.

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

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

There is no output schema and no explanation of what a shape check returns (e.g., boolean or validation message), and the schema/tool mismatch is left unresolved. The description is too incomplete to allow reliable invocation or result interpretation.

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 nine unrelated optional string parameters (ref, url, city, feed, host, json, path, zone, query), and none of them maps clearly to a Jira issue 'key'. Despite 100% schema-description coverage, those descriptions do not connect to the tool's stated purpose, so an agent cannot determine what value to pass.

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') and a specific resource ('Jira issue key shape'), so the core purpose is identifiable. It does not explicitly differentiate from sibling shape-checking tools, but the name and stated object make the intent reasonably clear.

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

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

There is no explicit guidance on when to use this tool instead of the many sibling validation/shape tools. Usage is only weakly implied by the tool name and description, with no context, exclusions, or alternative suggestions.

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 only says 'Body discarded,' which is minimal and does not explain side effects, permissions, rate limits, or what actually happens with the various parameters. The description gives no insight into behavior beyond a vague HTTP status 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 a single sentence, which is concise, but it is under-specified rather than efficiently informative. It omits critical information and does not earn its brevity; the sentence adds little value and leaves major gaps.

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 output schema, and no annotations, the description is completely inadequate. An agent has no idea what the tool returns, how parameters interact, what the 'hint' implies, or any constraints. This is far from sufficient for correct invocation.

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

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

The schema has 100% coverage with short descriptions for each parameter, but these descriptions are generic and do not clarify how they relate to the tool's stated purpose. The description itself adds nothing beyond the schema. The parameters appear to be a disjoint collection, and the description does not connect them to the HTTP status check, making it hard for an agent to know which parameters are 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 states a verb and resource ('HTTP status for a public library docs URL') but the parameter schema includes unrelated fields like city, feed, json, path, zone, and query. The stated purpose is narrow and does not match the breadth of the schema, leaving the actual tool function ambiguous and potentially misleading for an agent.

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 the many similar siblings (fetch-status, domain-shape, normalize-url, etc.). No conditions, exclusions, or alternative routing are provided, so an agent cannot distinguish when this tool is appropriate.

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

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

With no annotations, the description carries the burden. It discloses that values are discarded, which is a useful behavioral detail, but it does not clarify side effects, error behavior, or whether only top-level keys are counted.

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 concise sentence that front-loads the action and avoids unnecessary detail.

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

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

The description is too minimal for the 9-parameter schema. It does not explain what the agent should pass, how the JSON object is identified, what the return value looks like, or whether nested keys are included.

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

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

Although schema description coverage is 100%, the parameter descriptions appear unrelated to the stated purpose and are potentially misleading (e.g., 'json' is described as text to validate, not as the object whose keys are counted). The tool description adds no 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 states a clear action: 'Count keys in a JSON object. Values discarded.' It names the verb and object, but it does not specify which input parameter contains the JSON object or whether nested keys are counted, so it is slightly 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?

There is no guidance on when to use this tool versus alternatives such as validate-json or search-query-len, nor any indication of the expected input format or context.

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

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

With no annotations, the description carries the transparency burden; it does disclose the output and that URL query/fragment are dropped. However, it does not explicitly state there are no other side effects, and the word 'Query' in the description is ambiguous with the unrelated 'query' 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 two short sentences that immediately state the return value and a key transformation. There is no filler, redundancy, or unnecessary detail.

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

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

The simple purpose is stated, but the 9-parameter schema, the false-friend parameters like 'host', 'path', and 'query', and the lack of an output schema require more explanation. The description does not clarify why the extra parameters exist or how they relate to the tool's 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 'url' parameter is well described, but the other eight parameters are unrelated to the stated URL-normalization purpose and are only marked as 'discarded' or 'no disk access.' Although schema coverage is high, the semantic noise from irrelevant parameters makes the parameter meaning confusing overall.

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

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

The description clearly states a specific verb ('Return') and resource ('origin, host, and path for a URL'), so the core purpose is understandable. It loses some clarity by not explicitly indicating that the 'url' parameter is the one to use among the many schema parameters.

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

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

There is no guidance about when to use this tool versus the many sibling tools, and no explicit when-not-to-use note. The only indirect usage signal is the 'url' parameter hint about normalizing or citing, but the main description gives no decision guidance.

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

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

The description discloses one important behavioral trait: no browser is launched, which is valuable given the 'playwright' name. However, with no annotations, it does not mention whether any network request occurs, whether only syntax is checked, or whether any side effects or limitations exist.

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, focused sentence with no redundant wording. It is well structured and easy to parse, achieving high conciseness.

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

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

Given the 9 optional, seemingly unrelated parameters, no annotations, and no output schema, the description does not provide enough context to determine which parameter is relevant, what 'can be opened' means operationally, or what response format to expect. The description is not complete relative to the complexity of the schema and the surrounding tool set.

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

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

Although every parameter has a schema description, the descriptions appear mismatched with the tool's stated purpose. For example, 'url' says 'normalize or cite', and unrelated parameters like city, feed, json, zone, and query are present with no explanation of their role in a URL-open check. This makes it difficult for an agent to know what values to pass.

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

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

The description states a concrete action ('Check whether a URL can be opened') and adds a useful clarification that no browser is launched. However, it does not indicate which of the 9 optional schema parameters is the URL input, and the 'url' parameter's own description mentions normalization/citation rather than opening. This leaves the tool's exact purpose somewhat ambiguous despite the clear verb.

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

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

No guidance is provided about when to use this tool versus closely related siblings such as browser-url-ok, fetch-status, or web-fetch. The only implicit differentiator is the 'No browser is launched' note, but it is not expanded into usable 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 must carry the full burden of behavioral disclosure. It mentions 'Query discarded,' which hints at non-persistence, but does not state whether the tool is read-only, whether it has side effects, what it returns, or how it treats the other parameters. The behavioral profile is largely undocumented.

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, but this is under-specification rather than conciseness. It lacks necessary context about the tool's full scope. There is no front-loading of critical information because the entire description is just one vague sentence.

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

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

With 9 parameters and no output schema, the description is severely incomplete. It does not explain what the tool returns, how it handles multiple inputs, or why such a diverse set of fields exists. An agent cannot reliably invoke this 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?

The input schema descriptions are thorough, covering all 9 parameters with details like 'discarded after the shape check' and 'no disk access.' Since schema coverage is 100%, the baseline is 3. The description adds no additional meaning beyond the schema, so it does not improve parameter understanding.

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 'Count characters in a search query,' which names a verb and a resource, but the schema exposes 9 unrelated parameters (ref, url, city, feed, host, json, path, zone) with no explanation of their role. This makes the purpose ambiguous and likely misleading – it does not clarify whether the tool processes only 'query' or all fields. It also fails to differentiate from sibling counting tools like memory-key-count or hn-front-count.

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

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

There is no guidance on when to use this tool versus alternatives. No mention of typical use cases, prerequisites, or exclusions. The description is a single sentence with zero context about 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 explaining behavior. It only says 'catalog,' which implies reading, but it does not disclose return format, side effects, or how the many optional input parameters are handled.

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

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

The description is a single concise sentence with no fluff. It is front-loaded with the core purpose, though it could add a bit more detail without becoming verbose.

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

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

The description is too sparse for the tool's context: it does not explain how the nine optional parameters relate to the catalog, what the output looks like, or how to invoke the tool effectively. The lack of an output schema makes this omission 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?

Schema description coverage is 100%, so the baseline is 3 even though the tool description adds no parameter-specific meaning. The schema descriptions are detailed, though several parameters appear unrelated to a catalog of HTTP status codes.

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

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

The description clearly identifies the resource as common HTTP status codes and indicates the tool provides a short catalog. However, it does not explicitly distinguish this from sibling tools like fetch-status or normalize-url.

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

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

The description gives no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or typical use cases. A user cannot tell whether to choose status-catalog over fetch-status or other sibling tools.

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

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

With no annotations, the description must disclose behavior. It only says 'Prompt discarded,' which is ambiguous and does not mention that all nine parameters are validated for shape and then discarded, as the schema descriptions indicate. The description does not state that the tool returns a static template regardless of input, nor does it explain side effects or safety. This is a significant gap.

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

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

The description is a single short sentence, which is concise, but it is under-specified and does not convey essential information. It is not structured to front-load the most critical details; it omits the purpose of the parameters and the exact nature of the template.

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

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

For a tool with nine optional parameters and no output schema, the description is grossly incomplete. It does not describe the three-step template, its content, or how to use it. It also does not explain the validation behavior. An agent cannot reliably decide when and how to invoke this tool 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 schema covers all parameters with descriptions stating each is 'discarded after the shape check.' The tool description adds no parameter-level information, but the baseline is 3 given 100% coverage. However, the description fails to explain why these parameters exist for a thinking-template tool, leaving the relationship unclear.

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

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

The description states a specific action ('Return a three-step thinking template') but is vague about what this template is for and how it relates to the tool's name. It does not differentiate from sibling tools like citation or calc-eval, which are concrete operations. The mention of 'Prompt discarded' is confusing and does not clarify the purpose.

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

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

There is no guidance on when to use this tool versus any sibling. No conditions, prerequisites, or alternatives are mentioned. An agent has no idea why it would pick think-steps over any other tool.

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

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

No annotations are provided, and the description does not disclose side effects, output format, or whether the tool performs any network or I/O operations. It also does not explain that the many unrelated input parameters are ignored, leaving the tool's behavior opaque. This is a significant transparency gap.

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

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

The description is one short sentence with no redundant wording or filler. It communicates the core function efficiently.

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

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

With nine input parameters and no output schema, the description is too sparse to provide complete context, such as expected output format, error behavior, or what happens when zone is omitted. It also fails to clarify the role of the other schema fields, making the tool's contract unclear. An example or explicit parameter guidance would improve completeness.

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

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

The schema lists nine optional parameters, but only zone is plausibly relevant to a timezone lookup; the description does not clarify that the other parameters are extraneous. It adds little beyond the schema's existing 'IANA timezone name' description and could confuse an agent by implying all parameters are meaningful. No required parameters are indicated, yet zone is logically necessary.

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

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

The description clearly states the tool returns current time for a named IANA timezone, identifying the primary resource and differentiating it from generic time tools. It is a noun phrase rather than an explicit verb, but the tool name and context make the action unambiguous. It could be slightly stronger by naming the relevant parameter or contrasting with 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 implies usage when current time in a specific timezone is needed, but does not explicitly state when to use it or mention alternatives like utc-time. There is no exclusion or comparison to sibling tools, so guidance is implicit rather than explicit.

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

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

With no annotations and a one-line description, there is no disclosure about side effects, ignored parameters, or error behavior. The description does not mention that the nine parameters are effectively discarded, which leaves significant behavioral ambiguity.

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 free of verbosity, which is positive. However, it lacks any structural components (e.g., usage examples, parameter explanations) that would aid comprehension. It is a single sentence with no additional context.

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

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

Given the complexity introduced by nine seemingly unrelated parameters and no output schema, the description is grossly incomplete. It fails to explain the purpose of the parameters, whether they are ignored, and what the response format is. A simple timestamp tool should at least clarify that parameters are irrelevant.

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

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

Although schema description coverage is 100%, the parameter descriptions are misleading (e.g., 'Git ref name; discarded after the shape check') and irrelevant to a UTC timestamp tool. The tool description itself adds no clarification about why these parameters exist or whether they affect the result, actively confusing rather than helping.

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 output of the tool. While it lacks an explicit verb, it unambiguously indicates that the tool returns the current UTC time, distinguishing it from timezone-specific tools like '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 provided about when to use this tool over alternatives. It does not mention that this is the only tool for UTC time, nor does it contrast with sibling tools like 'timezone' or 'iana-zones'. The user receives no context 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?

The description transparently notes that the body is discarded, which is useful. However, it does not disclose the return format, error behavior, side effects beyond discarding, or any access/authorization requirements, and no annotations are provided to fill this gap.

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

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

The description is extremely concise and front-loaded: first sentence states the purpose, second sentence notes the discard behavior. There is no redundant or extraneous text.

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

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

Despite the simple description, the tool schema has nine optional parameters and no output schema. The description does not clarify which parameter is the JSON body to validate, what the tool returns, or how the other parameters relate to the validation, 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 schema already provides descriptions for all parameters, including the relevant 'json' parameter. The description adds little beyond the schema, and the presence of eight seemingly unrelated optional parameters is not explained by the description itself.

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

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

The description clearly states the tool's core action: checking whether a body is valid JSON. It is specific enough to distinguish from sibling validators, though the term 'body' is not explicitly linked to the 'json' parameter in the schema.

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

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

The description gives no guidance on when to use this tool versus alternatives. It does not mention sibling tools, conditions for use, or cases where another validator would be more appropriate.

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

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

The description gives no information about side effects, network calls, rate limits, error behavior, or data freshness. With no annotations provided, the description carries the full burden and fails to disclose the tool's runtime behavior beyond the vague 'via Open-Meteo'.

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 fluff. However, it is so minimal that it sacrifices necessary detail, so it does not fully earn a top 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?

With no output schema, no required parameters, and a description that does not mention output format, failure modes, or invocation example, an agent cannot reliably determine how to call this tool or interpret its result.

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

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

The schema contains nine parameters, but most are unrelated to weather (ref, url, feed, host, json, path, query, zone). Even the 'city' description is odd ('discarded after the call'). The description does not clarify which parameters are actually used or how they map to the weather request.

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

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

The description states a specific purpose: returning current temperature for a city via Open-Meteo. It is distinguishable from sibling tools like geo-hint and timezone, though it lacks an explicit verb like 'get' or 'return'.

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, what input format is expected, or any prerequisites. The description is purely declarative and leaves the agent to infer when this tool is appropriate.

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

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

The description does disclose that the body is discarded and some schema descriptions note that values are discarded after checks. However, it does not explain network behavior, redirect handling, error cases, response size limits, or how the many schema parameters interact with the actual fetch.

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

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

The main tool description is concise and direct. The schema is padded with many one-off fields and repetitive 'discarded' language, which adds noise, but the core prose itself is economical.

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 network-fetching tool, the description omits important operational details such as the return format beyond 'status and content type', error behavior, redirect handling, and whether any of the other schema fields affect the fetch. Without this context, an agent may not know how to handle failures or edge cases.

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?

Every parameter has a description, but the descriptions are often unrelated to the stated purpose of the tool. For example, 'url' is described as 'HTTPS URL to normalize or cite' rather than a URL to fetch, while fields like 'ref', 'city', and 'query' are described only as discarded after checks.

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 headline sentence clearly states that the tool returns HTTP status and content type for a public URL while discarding the body. However, the input schema lists nine unrelated optional parameters with confusing descriptions, which muddies what the tool actually operates on and what is ignored.

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 sibling tools such as fetch-status, normalize-url, or browser-url-ok. There is no mention of redirects, timeouts, authentication, or when the other schema fields would be relevant.

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

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

Annotations are absent, so the description carries the full burden. It only states 'Title discarded after the call,' which is irrelevant because no title parameter exists. It does not disclose what the tool actually returns, side effects, or how it checks existence. The description does not add meaningful behavioral context.

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 sentences, which is concise, but it is ineffective because it omits essential information about the parameters and does not align with the schema. Being short is not a virtue when the content is misleading; the description sacrifices clarity 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 9 parameters and no output schema, the description is severely incomplete. It does not specify return values, error handling, or which parameter is actually used for the title check. The mismatch between description and schema leaves an agent without enough information 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?

The schema provides descriptions for all 9 parameters (100% coverage), each with a clear purpose and note about being discarded. However, the tool description does not explain how these parameters relate to the stated purpose of checking a Wikipedia title. The description adds no value beyond the schema, and the mismatch between the title focus and the actual parameters creates confusion.

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'), which is clear in isolation. However, the input schema contains 9 parameters (ref, url, city, feed, etc.) with no 'title' parameter, so the actual tool purpose contradicts the description. This mismatch makes the tool's function ambiguous and misleading to an agent.

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 the many sibling tools (e.g., normalize-url, browser-url-ok, web-fetch). The description does not mention any conditions, alternatives, or exclusions. An agent has no basis to select this tool over others.

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