Language cy

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

No annotations are present, so the description carries full responsibility. It mentions that task text is discarded and some values are only checked, but it does not explain important behaviors like cost implications, errors, side effects, or how the returned 'connection methods' are produced.

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

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

The description is concise and non-redundant, but it relies heavily on unclear jargon and does not structure information in a way that aids understanding. It is short but not effectively transparent.

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

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

There is no output schema, no return format details, no error handling expectations, and no explanation of prerequisites or how to use the parameters together. The description is too sparse to provide a complete mental model for invoking 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 parameter descriptions are mostly bizarre and unhelpful (e.g., 'discarded after shape check', 'no disk access'). The tool description itself adds no integration-level meaning for any of the nine parameters, leaving it unclear how they relate to finding a gateway or returning connection methods.

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

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

The description says it finds a 'pay-per-call tool gateway' and returns connection methods, but this is vague and does not clearly distinguish the tool from the many sibling URL/tool helpers. Terms like 'tool gateway' and 'connection methods' are undefined, making the actual purpose hard to understand.

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 versus siblings. The examples of tasks ('weather, search, scrape, or voice') provide weak context but no concrete selection criteria or exclusions.

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

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

The description discloses one behavioral aspect (no browser is launched), but it does not mention whether the tool makes network requests, whether it is read-only, or what side effects might occur. With no annotations to fill the gap, the agent is left guessing about the operational implications.

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

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

The description is extremely concise and well-structured: a clear subject-verb-object statement followed by a short negative qualifier. There is no fluff 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?

Given the 9-parameter schema with no required fields and no output schema, the description is too incomplete. It does not say what the tool returns, how to pass the URL, or how this tool differs from siblings like playwright-url-ok and web-fetch. This leaves substantial ambiguity for an agent attempting to invoke it correctly.

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

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

Although the schema has descriptions for all 9 parameters, those descriptions are generic and often inconsistent with the tool's stated purpose. For example, the 'url' parameter is described as 'HTTPS URL to normalize or cite', which conflicts with 'check whether a URL can be opened'. The tool description itself does not clarify which parameter actually matters.

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 purpose: checking whether a URL can be opened, and explicitly notes that no browser is launched. This makes the primary function easy to understand, though it does not specify the return value or which parameter to use.

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 about when to use this tool versus closely related siblings like playwright-url-ok, normalize-url, or fetch-status. The statement 'No browser is launched' only weakly implies a distinction from browser-launching tools, but no explicit alternatives or selection criteria are provided.

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

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

The only behavioral hint is 'Expression discarded', which suggests the input is not retained, but there is no mention of whether the tool is read-only, whether it performs side effects, or what it returns. Without annotations, this is insufficient.

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

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

The description is very short at one sentence, but it is also ambiguous and internally inconsistent. The phrase 'Expression discarded' does not add useful structure and makes the concise text misleading.

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 indication of what the tool returns. Given that the parameters are irrelevant to the stated purpose and the expression input is missing, the description is far from complete enough to call 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?

All nine parameters (ref, url, city, feed, host, json, path, zone, query) have descriptions that are unrelated to arithmetic evaluation—e.g., 'Git ref name', 'Search text'. No parameter is clearly the arithmetic expression, despite the description claiming to evaluate one.

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 'Evaluate a+b style arithmetic' but the input schema contains no expression field, and the phrase 'Expression discarded' is confusingly contradictory. It does not clarify how the arithmetic expression is supplied, making the tool's purpose unclear.

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

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

No guidance is given for when to use this tool versus any sibling tool. The description mentions no use cases, prerequisites, or alternatives, leaving the agent to guess.

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

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

It discloses that page content is not stored, but does not mention that it will likely make a network request, what side effects may occur, or how it handles invalid URLs or other parameters. With no annotations, this leaves important behavior undisclosed.

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

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

The description is extremely concise and front-loaded: one sentence states the core action and result, and a second sentence provides a key non-behavior. No wasted 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 extreme conciseness, the tool is under-specified for its schema: it has nine optional parameters with no indication of expected combinations, no output format, and no error cases. The description alone is not enough to use it correctly.

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

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

The schema descriptions are contradictory to the tool description (e.g., 'Git ref name', 'City name', 'JSON text') and the tool description does not explain which parameters are relevant or how they map to the promised URL result. This is actively misleading.

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

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

Description clearly states the tool returns host, scheme, and HTTP status for a URL and adds that page content is not stored. This is a specific verb and resource, but the schema includes nine unrelated parameters, which muddies the actual purpose.

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

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

No explicit guidance on when to use this tool versus siblings like normalize-url, fetch-status, or web-fetch. The only hint is that page content is not stored, which implies it should not be used when full content is needed, but alternatives are never named.

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 burden of explaining side effects, privacy, and limitations. It only says 'No identifiers are retained' and mentions values being 'discarded', but does not explain what processing occurs, whether external calls are made, or what the output represents.

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 not effective: it lacks essential details while using ambiguous phrasing. It is concise in word count but not in conveying actionable meaning.

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

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

There is no output schema, no examples, no explanation of classification outcomes, and no indication of how the parameters are used together. With nine optional parameters and no required ones, the tool is highly underspecified for an agent to invoke correctly.

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

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

Schema descriptions cover all parameters at a surface level, but the meanings are cryptic and disconnected from the stated purpose. For example, 'City name for a public weather hint; discarded after the call' does not clarify how it contributes to classification. The relationship among the nine optional parameters is 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 says 'Show how this request is classified' but never specifies what classification means, what categories are produced, or how the tool relates to its name 'compatibility'. It is too vague for an agent to know what this tool actually does.

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

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

No guidance is provided about when to use this tool versus any of the many sibling tools. The description does not mention alternatives, preconditions, or selection criteria, leaving the agent to guess.

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. It only says 'without WHOIS or ownership data', which hints at a limitation, but does not disclose what the tool returns, whether it discards irrelevant inputs, or any side effects.

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

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

The description is a single sentence with no fluff, making it appropriately concise. It loses a point because it omits essential context about parameters and behavior, but the structure itself is clean.

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

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

The description is highly incomplete for a tool with 9 parameters and no output schema. It does not explain which parameter is required, what the return value looks like, how irrelevant inputs are handled, or any error conditions.

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

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

Schema descriptions cover 100% of parameters, so the baseline is 3. The tool description does not add extra meaning about which parameter to use or how they relate 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 specific action (split a hostname into labels), but the input schema includes 9 unrelated parameters, making the actual purpose ambiguous. The mention of 'without WHOIS or ownership data' adds a negative constraint but does not clarify which input is relevant.

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 alternative. It does not mention sibling tools, specify which parameter to provide, or explain when this tool should be preferred.

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 discloses the HTTP method (HEAD) and the limited output (status only), but does not mention redirects, TLS behavior, error responses, rate limits, or whether the request is otherwise safe or side-effect-free.

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

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

The main description is appropriately short and front-loaded, but the schema contains nine optional parameters with irrelevant and contradictory descriptions, adding noise rather than clarity. The overall tool definition is concise in word count but structurally confusing.

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, annotations, required parameters, and any explanation of what 'status' means (HTTP status code? status text?). The schema's unrelated fields further prevent an agent from understanding how to correctly invoke this tool. It is not complete enough for reliable use.

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

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

Although schema descriptions cover all parameters, they are fundamentally mismatched with the tool's purpose. The 'url' parameter is described as 'HTTPS URL to normalize or cite' rather than a URL to HEAD, and other parameters like city, zone, feed, json, and query are unrelated to fetching status. This is actively misleading.

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

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

The description clearly states the verb 'HEAD' and the resource 'a public URL', and specifies the output as 'status only'. It is more specific than generic fetchers and helps distinguish from siblings like web-fetch or normalize-url, though the mismatched schema creates some ambiguity.

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

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

The description gives no explicit guidance on when to use this tool versus alternatives such as browser-url-ok, web-fetch, or normalize-url. It only implies a status-only check, with no mention of required parameters, error cases, or 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, the description is the only disclosure and it does not state side effects, network access, output format, or error behavior. 'Path discarded' is the sole behavioral hint and is too ambiguous to inform 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 short and has no fluff, but the second sentence 'Path discarded' is unclear and raises questions rather than adding value. It is concise at the expense of clarity.

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

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

There is no output schema, no annotations, no description of the expected input parameter beyond the mismatched schema, and no edge-case or error context. For a 9-parameter optional schema, the description is far from complete.

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

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

Although every parameter has a description, the descriptions are generic and mismatched: 'url' is described as 'HTTPS URL to normalize or cite' rather than a Figma file URL, and unrelated params like 'city', 'feed', and 'zone' are included. No required parameter or guidance on which field to populate is given.

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 specific action/resource ('Parse a Figma file URL'), but 'Path discarded' is vague and the expected result (shape, components, validity) is not stated. The name 'figma-url-shape' suggests validation/return of shape, which the description does not make 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 explicit guidance on when to use this over the many URL-related siblings (browser-url-ok, normalize-url, web-fetch), and no conditions or prerequisites are given. The need to parse a Figma URL is only implied by the 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?

The description discloses one behavioral trait: 'No disk access,' which implies the check is side-effect-free and safe. However, it does not disclose what the tool returns (e.g., boolean), how it handles invalid inputs, or what 'safe' means in terms of actual validation 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 extremely concise and front-loaded: 'Check whether a path looks safe. No disk access.' It contains no filler words, repeats no schema information, and is easy to scan.

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

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

Given the complex schema with many seemingly irrelevant parameters and no output schema, the description is incomplete. It does not explain how to call the tool correctly, what inputs are actually used, what output to expect, or how the unrelated parameters should be treated.

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

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

The input schema has nine optional string parameters with individual descriptions, but most are unrelated to the tool's stated purpose (e.g., 'url', 'city', 'zone', 'json'). The description does not clarify that only 'path' is relevant or explain how the other params are handled, so the parameter semantics are confusing and not well integrated with 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 clearly states a specific action ('Check') and subject ('whether a path looks safe'), and adds a meaningful constraint ('No disk access') that distinguishes it from URL-oriented sibling tools. However, 'safe' is somewhat vague—it does not define what safety criteria are checked (e.g., traversal, absolute paths, syntax).

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

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

The description gives no explicit guidance on when to use this tool versus alternatives like browser-url-ok or normalize-url. It does not state that it should be used for validating file paths before filesystem access, nor does it mention 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?

No annotations exist, so the description bears the full burden. It hints at an external Open-Meteo call but does not disclose how parameters are handled, which inputs are used, side effects, or failure modes.

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

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

One concise sentence with 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?

No output schema and no mention of return format; with nine optional parameters, the description leaves the caller unable to know what to pass or what 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 every parameter has a description, most are mismatched with the tool's stated purpose and include 'discarded' notes, so they do not clarify which input identifies the place.

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

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

The description clearly identifies the tool's core function—returning latitude and longitude for a place—and distinguishes it from weather, timezone, and URL tools by naming Open-Meteo. It lacks an explicit verb but is still understandable.

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

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

No guidance on when to choose geo-hint over sibling tools like weather-hint or normalize-url; no mention of required input 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 full burden, but it does not disclose behavior for invalid URLs, output shape, side effects, or the fact that most of the nine schema parameters appear unrelated and ignored.

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, though it is minimal.

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 9 optional parameters, no output schema, and no annotations. It does not explain which parameters are actually used, what the parsed result looks like, or how invalid input is 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 every parameter has a schema description, most descriptions are clearly copied from other tools and are irrelevant to parsing a GitHub URL. The only plausible parameter, url, is described as 'normalize or cite' rather than as the GitHub URL to parse.

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 'Parse owner and repo from a GitHub URL' clearly identifies the action and the target resource, and it distinguishes this tool from sibling URL-related 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 explicit guidance on when to use this tool versus alternatives such as normalize-url, domain-shape, or figma-url-shape. The intended use is only implied by the description.

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

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

With no annotations, the description must carry behavioral transparency. It implies a read-only count but does not disclose output format, error behavior, or side effects.

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

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

The description is short and front-loaded, with no redundant wording. It loses points only because it omits essential parameter and output details.

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 return values, success criteria, or parameter usage, so an agent cannot reliably predict the tool's behavior beyond the basic action.

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 nine input parameters are individually described but semantically unrelated to counting Hacker News stories (e.g., git ref, city, timezone, file path). The description does not explain how any parameter affects the count.

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: count current Hacker News front-page stories. However, the phrase 'Titles discarded' is ambiguous about whether titles are excluded from output or ignored during counting.

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 the many sibling tools, nor about prerequisites or expected input 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 provided, the description carries the full burden of explaining behavior. It does not disclose side effects, input handling, validation, or why many schema fields are 'discarded after the shape check' or 'no disk access.' The tool's actual behavior is 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 succinct sentence with no unnecessary words. However, it is too sparse to convey essential operational details, so it earns a high but not 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?

There is no output schema, no examples, and no explanation of how the parameters relate to the tool's purpose. With nine optional and seemingly irrelevant parameters, the description is far from sufficient for an agent to invoke this tool correctly.

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

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

Schema coverage is 100%, so the baseline is 3, but the tool description adds no parameter meaning and the schema fields (ref, url, city, host, json, path, query) are largely unrelated to the stated timezone purpose. This mismatch makes parameter semantics confusing and reduces the score below baseline.

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 resource ('common IANA timezone names') and a context ('clock calls') but lacks a clear verb or action. It is unclear whether the tool returns, validates, or lists these names, and the input schema's unrelated fields further obscure 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 explicit when-to-use or when-not-to-use guidance, and no alternatives are mentioned even though sibling tools like timezone and utc-time exist. The phrase 'for clock calls' gives only a vague hint of intended 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 the full burden of explaining side effects. It only says 'fetch,' implying a network read, but it does not disclose error behavior, caching, or whether any data is retained; the parameter descriptions further muddy this by referencing discarded values and unrelated checks.

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

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

The main description is a single concise sentence, but the tool definition is padded with nine optional parameters whose descriptions appear copied from other tools. This clutter makes the overall structure poor and detracts from the clear one-line 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?

The description lacks an output schema, error semantics, and an explanation of how the optional parameters map to the robots.txt request. It is not complete enough for an agent to reliably construct a correct call.

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

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

The input schema's parameter descriptions are largely irrelevant to fetching a robots.txt file: 'ref' is a Git ref, 'city' is a weather hint, 'json' is to validate, and 'query' is search text. The 'url' and 'host' descriptions are generic and do not explain how they relate to the robots.txt target, so the schema is actively misleading.

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

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

The description clearly states a specific action (fetch) and resource (public robots.txt) with a defined output (group counts only), which distinguishes it from generic fetching or validation tools. However, it does not specify which input parameter identifies the target robots.txt or what 'group counts' means in detail.

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 indication of when to prefer this tool over siblings such as web-fetch, fetch-status, or normalize-url. There is no mention of use cases, prerequisites, or exclusions.

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

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

With no annotations, the description must disclose behavior. It only says 'Key discarded,' implying no side effects, but does not clarify what happens on success/failure or whether any output is produced. Side effects are otherwise 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 extremely short (two sentences), but its brevity omits critical details such as the expected key format, how the input is supplied, and any output characteristics. It is not concise in a beneficial way; it under-specifies.

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's purpose, the description fails to explain what constitutes a valid Jira issue key, how the tool determines shape validity, or what the tool returns. There is no output schema, and the parameter list is a mismatched set of generic fields. The description is not self-sufficient 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?

All nine parameters have generic descriptions (e.g., 'Git ref name', 'HTTPS URL') that are unrelated to a Jira key. The descriptions even say they are 'discarded after the shape check,' but none of these parameters appears to be the Jira key itself. The schema provides no meaningful mapping between inputs and the tool's stated 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 states a specific purpose ('Check a Jira issue key shape') which distinguishes it from sibling shape-checking tools, but the schema contains no 'key' parameter, causing confusion about what input is actually used. The phrase 'Key discarded' hints at the intended input but it is absent from 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?

No guidance is provided on when to use this tool versus the many sibling shape-checking tools (e.g., domain-shape, figma-url-shape). The description does not mention any condition or context that would make this tool the appropriate choice.

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 discloses no behavior: no return value, no side effects, no read-only guarantee. The schema hints at discarded inputs and checks, but the description itself remains silent.

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 not verbose, but it is under-specified rather than concise. A single fragment sentence omits the verb and any structural breakdown of inputs/outputs, so the brevity does not serve 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?

With 9 optional parameters, no output schema, and no annotations, the description leaves nearly all needed context missing. It does not explain what output the caller should expect, how to choose a parameter, or what 'discarded after the shape check' means in this tool's 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 input schema descriptions cover each parameter individually (100% coverage), so the baseline is 3. However, the tool description does not connect these parameters to the stated language-tag purpose; several schema descriptions ('Git ref name', 'HTTPS URL', 'JSON text') seem unrelated to 'ISO 639 language tag cy'.

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

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

The description is a noun phrase ('ISO 639 language tag cy.') with no verb, so it does not state what the tool actually does—whether it validates, checks, returns, or converts a language tag. The operation must be guessed from the tool name, which is not a reliable specification.

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, what inputs are appropriate, or how it relates to the 28 sibling tools. No alternatives 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 transparency burden. It discloses that only status is returned and the body is discarded, but it does not mention network behavior, redirects, errors, or side effects.

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

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

The description is concise and front-loaded; both sentences contribute. However, it is so terse that it leaves the noisy parameter list unexplained, though the text brevity itself is not a problem.

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 confusing 9-parameter schema and no output schema, the description is insufficient: it doesn't say which parameter is actually used, what exact status information is returned, or how errors are reported. The 'body discarded' detail is the only contextual hint.

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 9 optional string parameters, but their descriptions are mostly unrelated to checking HTTP status, e.g., 'city', 'feed', 'json', and 'zone', or explicitly say they are 'discarded'. The only relevant parameter, url, is described as 'normalize or cite', not as the target of an HTTP status check, so the input contract is misleading.

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

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

The description clearly states the action (check HTTP status) and resource (public library docs URL), and explicitly says the body is discarded, so the primary purpose is understandable despite having no output 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?

Usage is implied by the purpose: use when you need the HTTP status of a library docs URL. It does not distinguish this from sibling tools like fetch-status, browser-url-ok, or web-fetch, nor does it mention 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, the description carries the burden for behavioral disclosure. It indicates that values are discarded, implying no persistence or side effects, but it does not explicitly state whether the tool is read-only, whether it accesses external resources, or what failure behavior to expect.

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

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

The description is a single, concise sentence with no redundant wording. It is well-structured and front-loaded.

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

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

The description omits crucial context: how to pass the JSON object, what the return value looks like, whether only the listed parameters count as keys, and the impact of additionalProperties being false. With 9 optional parameters and no output schema, this incompleteness is 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 parameter descriptions are misleading and largely irrelevant to counting keys. For example, `json` is described as 'JSON text to validate; discarded after the check', which suggests validation rather than key counting, and other parameters reference unrelated domains. This actively harms comprehension instead of 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 clearly states the action ('Count keys in a JSON object') and explicitly notes that values are discarded. It is understandable on its own, though it does not explicitly differentiate from sibling tools or explain how the JSON object is supplied.

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

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

No guidance is given about when to use this tool versus alternatives such as validate-json or search-query-len. There is no mention of appropriate inputs, limitations, or exclusions.

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

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

The description discloses one behavioral aspect—that query and fragment are dropped—but does not explain other behaviors such as whether it returns an object or string, how invalid URLs are handled, or if any network calls are made. With no annotations to supplement this, the description falls short on 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 extremely concise—two short sentences that convey the main purpose and a key behavior without any unnecessary elaboration. It follows a clear and efficient structure.

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

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

The description is incomplete in the context of the provided schema. It does not reconcile the presence of eight additional parameters with the stated behavior, nor does it explain what the tool actually does with inputs like 'city' or 'query'. There is no mention of output format or error handling, leaving an agent without enough information to reliably invoke the tool.

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

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

The schema descriptions for parameters like 'city' ('City name for a public weather hint') and 'ref' ('Git ref name; discarded after the shape check') are clearly irrelevant to URL normalization and appear to be copy-pasted from other tools. The description does not clarify that only the 'url' parameter is meaningful or that the others are ignored, leaving the parameter semantics confusing and unhelpful.

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

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

The description clearly states the core action: returning origin, host, and path for a URL, and dropping query and fragment. However, the presence of many unrelated parameters in the schema (e.g., 'city', 'feed', 'ref') that are not mentioned in the description introduces ambiguity about the actual scope of the tool, making the purpose less crisp than it could be.

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

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

No guidance is provided on when to use this tool versus alternatives. The sibling list includes tools like 'fetch-status' and 'web-fetch', but the description does not differentiate normalize-url from these or explain under what conditions it should be preferred. This leaves the agent to infer usage context 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?

The description mentions one behavioral aspect ('No browser is launched') but does not disclose side effects, error behavior, or read-only guarantees. More importantly, it does not explain why the schema accepts nine mostly unrelated parameters, leaving the actual behavior of the tool unclear.

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

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

The description is short and free of unnecessary words; both sentences contribute information. It could be slightly more explicit, but it is not verbose or redundant.

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 parameters, no output schema, and no explanation of return values, success/failure conditions, or why most parameters are accepted, the description is far from complete. The mismatch between the described purpose and the parameter list leaves critical context missing.

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

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

The schema descriptions cover individual parameter names, but the tool description adds no meaningful parameter guidance and actually conflicts with the schema: the description implies a URL-only check, while the schema includes git refs, city names, JSON text, timezones, and search queries. An agent cannot confidently determine which parameters are relevant from the description alone.

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 ('Check whether a URL can be opened') and the resource (URL), and the added note 'No browser is launched' helps distinguish it from browser-based sibling tools. However, 'opened' is somewhat ambiguous about whether this is an HTTP reachability check, a validation check, or a rendering check.

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 choose this tool over closely related siblings like browser-url-ok, fetch-status, or normalize-url. The description gives a trait ('No browser is launched') but does not state explicit use conditions or alternatives.

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

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

With no annotations, the description must fully disclose behavior, but it only says the query is discarded. It does not mention whether the other parameters are ignored, what output format is returned (e.g., integer length), or error conditions. The repeated 'discarded' phrasing hints at no side effects, but fails to specify return values or exceptions.

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, using a single sentence to convey the operation and side-effect-free nature. There is no redundancy or unnecessary elaboration. The structure is straightforward and easy to parse.

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

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

Given the lack of an output schema and the presence of numerous sibling tools with similar 'shape'/'check' patterns, the description is insufficient for an agent to understand the return value or how this tool differs from alternatives. It does not explain whether only 'query' is read, what data type is returned, or how to handle the unrelated inputs. The tool feels under-specified in context.

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

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

Although every parameter has a description, most descriptions are unhelpful tautologies like 'Git ref name; discarded after the shape check' or 'City name for a public weather hint; discarded after the call'. Only the 'query' parameter description ('Search text; discarded after the length check') aligns with the tool's stated purpose, leaving the other eight parameters semantically confusing and arguably irrelevant.

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

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

The description states the tool counts characters in a search query and that the query is discarded, which is a clear primary purpose. However, the input schema includes eight unrelated optional string parameters (ref, url, city, feed, host, json, path, zone), which muddies the intended scope. The name and description focus on query, but the schema suggests broader or ambiguous applicability.

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 siblings such as 'normalize-url', 'domain-shape', or 'think-steps'. There is no mention of prerequisites, typical use cases, or alternative tools. The description only states what the tool does, not when an agent should choose 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 burden of disclosing side effects. 'Catalog' implies read-only behavior, but the description does not explicitly state that no network, file, or state-changing operations 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 a single concise sentence with no unnecessary repetition or 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 one-sentence description omits output format, parameter semantics, and usage context, leaving an agent with insufficient information to confidently invoke the tool despite its simple name.

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

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

Schema descriptions cover 100% of the 9 parameters, so the baseline applies. However, the parameter descriptions are generic and mostly state that values are discarded or checked, and the tool description itself does not explain how any parameter relates to the status-code catalog.

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 (common HTTP status codes) and that it is a short catalog, so the core purpose is recognizable. It lacks a clear verb or explicit statement of what the caller receives, and it does not distinguish this tool from sibling tools like fetch-status.

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

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

There is no guidance about when to use status-catalog versus alternative tools, no prerequisites, and no indication of expected inputs or outputs.

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 does not disclose return format, side effects, error behavior, or whether inputs are actually ignored. Several parameters are described as 'discarded', but the overall behavior remains 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 text is short, but it omits essential structure and includes a confusing 'Prompt discarded' fragment. Brevity is not used to clarify the tool's contract.

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, 9 ambiguous parameters, and no usage context, the description is far too incomplete for an agent to invoke correctly.

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

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

The schema has 9 optional strings, each with a description, but those descriptions are unrelated to a 'thinking template' and repeatedly mention 'discarded after...' without explaining how the value affects the tool. Callers cannot determine which, if any, parameters matter.

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 'Return a three-step thinking template', which names an output, but 'Prompt discarded' is cryptic and no context is given for what the template is or how to invoke it. The purpose remains vague relative to the 9 unrelated optional parameters.

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

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

No guidance is given on when to use this tool, what inputs are needed, or how it differs from sibling tools. 'Prompt discarded' is not an actionable usage instruction.

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

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

No annotations are provided, and the description does not disclose any behavioral details such as network access, side effects, or read-only guarantees. The description is too terse to convey any non-obvious 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 extremely concise, consisting of five words with no fluff or redundant information. It efficiently communicates the core 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 confusing and irrelevant parameter descriptions, the tool definition is far from complete. The description does not clarify the intended use of the additional parameters or provide sufficient context for an agent to invoke the tool confidently.

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

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

The input schema contains nine parameters, but only 'zone' is relevant to the tool's purpose. Descriptions for other parameters (e.g., 'ref', 'url', 'json') are misleading and unrelated to timezone functionality, leaving the agent with no meaningful guidance for most 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 returns the current time for a named IANA timezone. However, it does not differentiate itself from sibling tools like 'utc-time' or 'iana-zones', which could cause ambiguity in tool selection.

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

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

The description implies when to use the tool (when needing current time in a specific timezone), but it provides no explicit guidance or comparison with alternatives. There is no mention of when not to use it or how it relates to other time-related 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 carry the full burden of disclosing side effects and behavior. It suggests a read-only, pure operation but does not explicitly state that there are no side effects or explain how the many optional 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 unnecessary words. It is well-structured for a tool whose core function is simple.

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 given the complexity of the input schema. It does not explain why the schema includes nine seemingly irrelevant optional parameters, what happens if they are supplied, or what the output format of the timestamp is.

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

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

All nine parameters are documented in the schema, so the baseline for this dimension is 3. However, the parameter descriptions are semantically odd and unrelated to 'UTC timestamp', and the tool description adds no clarification about why these parameters exist or whether they are ignored.

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

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

The description clearly states the tool's purpose: returning the current UTC timestamp. It is a simple, specific resource/action pairing, 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?

No usage guidance is provided. The description implies use when a current UTC timestamp is needed, but it does not mention alternatives like 'timezone' or 'iana-zones', nor does it state when not to use this tool.

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

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

No annotations are present, so the description carries the full burden. It discloses that the body is discarded, but it does not state the return value on valid/invalid JSON, whether errors are thrown, or any other side-effect behavior.

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

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

The description is a single sentence with no redundant wording. It front-loads the core purpose and adds the key side-effect note that the body is discarded.

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

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

For a validation tool with no output schema, the description should clarify what the caller receives (e.g., boolean, error, empty response). It does not, and the unrelated optional parameters add ambiguity rather than 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 input schema provides descriptions for all 9 parameters, so schema coverage is 100% and the baseline is 3. The tool description adds no parameter-specific meaning, and several parameters (ref, url, city, zone, etc.) appear unrelated to JSON validation, but their schema descriptions at least indicate they are discarded or have no effect.

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

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

The description clearly states the tool's purpose with a specific verb: 'Check whether a body is valid JSON.' It distinguishes it from the sibling tools, none of which perform JSON validation. The only ambiguity is what 'body' refers to relative to the `json` input property.

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, whether to call it before other operations, or what conditions make it appropriate. The description only states what it does, not when 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, the description carries the burden of explaining behavior. It mentions Open-Meteo as a source but does not disclose whether the call is read-only, side-effect-free, rate-limited, or what the output format will be.

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, earning a high conciseness score. It is slightly too terse to be fully useful, but it is not verbose or poorly structured.

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

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

Given 9 optional parameters and no output schema, the description is severely incomplete. An agent cannot determine which parameters are relevant, which are ignored, what the API returns, or how to construct a valid request beyond the vague mention of a city.

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 descriptions for all parameters, so the baseline is 3. The tool description adds meaning only to the 'city' parameter, but the other eight parameters remain incongruous and unexplained; the schema descriptions are boilerplate and potentially misleading for a weather 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 clearly states the tool's core purpose: fetching the current temperature for a city via Open-Meteo. It does not, however, explicitly distinguish it from sibling tools like 'geo-hint' or 'fetch-status', but the domain is identifiable.

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

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

There is no guidance on when to use this tool versus alternatives. No context is provided about typical use cases, such as resolving a city name to weather data or how it relates to other fetch/validation 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?

The description is explicit that the body is discarded and only status/content type are returned, which is helpful. But with no annotations, it omits expected behaviors like error responses, redirects, timeouts, and what happens when no URL is supplied.

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

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

The description is short and front-loaded with the key behavior. It earns a high score for brevity, though the mismatch with the parameter schema prevents a perfect rating.

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's apparent network side effects and overlapping sibling tools, the description lacks enough context about output shape, failure modes, and parameter selection. The self-contradictory parameter descriptions leave the tool incomplete for reliable agent use.

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

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

Although every parameter has a schema description, most descriptions are unrelated to HTTP fetching and several explicitly state they are 'discarded after' checks. This makes the parameter list confusing and reduces the practical meaning of the 100% coverage.

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

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

The description states the tool returns HTTP status and content type for a public URL and discards the body, which is a concrete outcome. However, it does not clarify how the many unrelated input parameters relate to that purpose, leaving the actual scope 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 prefer this tool over siblings such as fetch-status, browser-url-ok, normalize-url, or inspect-robots. It does not mention prerequisites, redirect handling, or URL validation.

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. It mentions that the title is discarded after the call, but it does not disclose side effects, network behavior, failure modes, or whether it only validates the title format or actually queries Wikipedia.

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

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

The description is short and front-loaded with the core purpose. The second sentence is cryptic and somewhat wasteful, but overall the description is concise and well structured for its length.

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 from complete given the tool's complexity: there are nine parameters, no output schema, no explanation of the return value, no error semantics, and no indication which parameter should hold the title. A caller cannot reliably use this tool from the provided information.

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

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

The description does not map the notion of a 'title' to any of the nine declared parameters. The schema contains unrelated fields such as ref, url, city, feed, host, json, path, zone, and query, and additionalProperties is false, so it is unclear how a caller could pass a Wikipedia title at all.

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

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

The description clearly states a specific action and resource: 'Check whether a Wikipedia title exists.' However, it does not explain how the title is supplied, and the following sentence about discarding the title is confusing given that no title parameter exists.

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

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

There is no guidance about when to use this tool versus alternatives, no mention of applicable conditions, and no indication of what inputs should be provided. The description only states the basic function.

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