Language ha

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

No annotations are provided, so the description must carry full behavioral transparency. It does mention 'Task text discarded' and some parameter-level notes like 'no disk access', but it fails to disclose whether the tool makes network calls, stores any data, or what side effects the returned 'connection methods' might have.

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

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

The description is very concise: two short sentences plus one-phrase parameter explanations. There is no fluff or redundant repetition, which makes it easy to scan. The brevity does come at the cost of clarity, but the structure itself is well managed.

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 is not complete enough for an agent to reliably know how to call the tool or interpret the result. It lacks information about return format, error behavior, what happens when no gateway is found, and how parameters should be selected. The sparse parameter notes do not compensate for this missing 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?

All 9 parameters have descriptive text, but most descriptions are cryptic and focus on what is discarded rather than how the parameter contributes to the lookup. For example, 'JSON text to validate; discarded after the check' does not explain what validation is performed or how the result affects the returned connection methods. The relationship between parameters and the tool's purpose is unclear.

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

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

The description states a clear action ('Find a public pay-per-call tool gateway') and result ('Returns connection methods'), but it does not define what a 'tool gateway' is or what 'connection methods' look like. It also does not distinguish this tool from the many sibling tools that handle similar tasks like weather, search, or validation.

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 example task categories ('weather, search, scrape, or voice') but no concrete guidance on when to use this tool versus alternatives like weather-hint, search-query-len, or validate-json. There is no mention of conditions, exclusions, or preference 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?

The description discloses that no browser is launched, but the parameter descriptions (e.g., 'discarded after the shape check') suggest a purely syntactic validation, contradicting the stated functional check of opening a URL. The return value or side effects are not described, and the internal inconsistency obscures actual 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, a single sentence that front-loads the main action. It avoids unnecessary fluff, earning high marks for brevity, even though it sacrifices necessary detail.

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

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

Given the complexity of nine parameters and no output schema, the description is critically incomplete. It does not explain how parameters relate to the check, what the tool returns, or how it differs from sibling tools. The lack of this context makes the tool nearly unusable for an agent.

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

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

Each parameter has a description, but they are disjoint from the tool's purpose (e.g., 'Git ref name' and 'City name for a weather hint' have no obvious connection to checking a URL). The descriptions do not specify which parameter is primary or how they are used in the check, providing minimal 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 states a specific action ('Check whether a URL can be opened') but fails to clarify which of the nine parameters represents the URL, especially since the schema includes unrelated fields like city, zone, and query. The purpose is not fully clear without additional inference.

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 only usage hint is 'No browser is launched,' which implies a lightweight alternative to browser-based tools but does not explicitly state when to choose this over siblings like playwright-url-ok or fetch-status. No prerequisites or limitations 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 alone must disclose behavior, but it is contradictory and opaque. It mentions evaluating arithmetic and discarding an expression, yet no expression parameter exists. It does not state side effects, permissions, or what happens to the provided parameters, leaving the tool's actual operations unknown.

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 but is not concise; it is vague and confusing. The sentence 'Expression discarded' is cryptic, and there is no structure that aids comprehension. It is under-specified rather than efficient.

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 complexity (nine parameters, no required fields, no output schema) and the absence of annotations, the description is entirely insufficient. An agent cannot infer what inputs are appropriate, what the tool returns, or how it fits into the broader toolset. The description provides almost no contextual 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 adds no meaning to any of the nine parameters. Although the schema provides per-parameter descriptions, they describe diverse data types (URLs, city names, timezones) that have no connection to the stated arithmetic evaluation. The description fails to link the parameters to the tool's purpose, so an agent cannot determine what values to supply.

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 claims to 'Evaluate a+b style arithmetic', but the input schema contains nine parameters (ref, url, city, feed, host, json, path, zone, query) that are unrelated to arithmetic expressions. There is no expression parameter, and the description does not explain how these parameters map to the stated purpose. This mismatch makes the tool's actual function misleading.

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 its siblings. The description lacks any conditions, exclusions, or references to alternative tools. The cryptic note 'Expression discarded' offers no practical direction for an agent deciding to invoke it.

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

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

The only behavioral disclosure is 'Page content is not stored,' which is a positive but insufficient trait given no annotations. The description omits that many parameters are discarded after checks and that the tool likely performs different operations depending on which parameter is provided, so its true 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 description is a single, efficient sentence with no fluff, and the primary use case is front-loaded. However, it omits critical information about the tool's broader capabilities, so while concise, it is not well-structured for the actual complexity.

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

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

A tool with nine parameters, no annotations, and no output schema demands a comprehensive description. This one covers only the URL case, leaving the other eight parameters and their behaviors completely unexplained, making it inadequate for correct invocation.

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

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

Schema coverage is 100%, so the baseline is 3, but the description adds no value for parameters and actively misleads by implying only 'url' matters while the schema lists eight other fields. It does not clarify when to use each parameter or how they relate to the described output, making it less helpful than the schema 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 states a specific function for URLs ('Return host, scheme, and HTTP status'), but the tool's schema exposes nine unrelated parameters (city, json, path, zone, etc.), implying a much broader scope. It fails to convey the tool's actual purpose as a multi-purpose shape checker, making it misleading for agents selecting this tool.

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

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

No guidance is given on when to use this tool versus the many overlapping siblings (fetch-status, normalize-url, validate-json, etc.). The description does not mention alternatives or conditions for selection, leaving the agent to guess from the parameter list.

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 information, but it only states that identifiers are not retained. It does not disclose whether the tool performs network calls, whether it is read-only, or what it does with the supplied values beyond a vague 'shape check' in parameter descriptions.

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 wording. Both sentences add something: the basic purpose and a privacy guarantee. It could be more informative, but it is not bloated.

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

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

The tool has nine optional parameters and no output schema, yet the description gives no indication of the result format, possible classification labels, or how to interpret the response. An agent cannot confidently decide to call this tool based on the available 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?

All nine parameters have individual descriptions, which meets baseline schema coverage, but those descriptions are inconsistent and do not clarify how the parameters are used for classification. Terms like 'discarded after the shape check' and 'public weather hint' are cryptic without a broader explanation.

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 defines what classification means, what categories are returned, or how the provided parameters relate to the classification. This leaves the tool's core purpose 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 use this tool versus any of the many sibling tools, nor any condition or example indicating the appropriate input scenario. The description only repeats the purpose and a privacy note.

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 traits such as side effects, permissions, read-only status, or error handling. The phrase 'without WHOIS or ownership data' hints at what it avoids, but it does not clarify what the tool actually does or does not access.

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, but it is poorly structured and misleading because it does not align with the extensive schema. It omits essential information about how the tool works and what the parameters do, making it ineffective despite 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?

The tool lacks an output schema and does not describe return values. Given the complex and seemingly unrelated set of parameters, the description is incomplete and fails to provide the context an agent needs to invoke the tool correctly.

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

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

Although the schema has 100% coverage for descriptions, the tool description only mentions 'hostname.' The other eight parameters (ref, url, city, feed, json, path, zone, query) are completely unexplained by the description, leaving their purpose unclear and potentially irrelevant to the stated functionality.

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 'Split' and a resource 'hostname', but it is vague and does not clearly distinguish this tool from siblings. The schema includes many unrelated fields (city, feed, json, path, zone, query) that are not mentioned in the description, making the actual purpose ambiguous and potentially misleading.

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 description only says 'Split a hostname into labels without WHOIS or ownership data,' but does not explain scenarios, limitations, or how it differs from similar 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?

While the HEAD method and limited return are transparent, the description does not disclose that most of the nine parameters appear irrelevant or ignored. This lack of clarification about the parameters' roles undermines overall behavioral 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 a single, clear sentence, which is concise and well-structured. It avoids unnecessary words and directly conveys the core behavior.

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

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

The tool has nine optional parameters, yet the description only mentions a 'public URL.' It does not explain which parameters are actually used, what the others are for, or why they exist. This leaves the tool contextually incomplete and confusing.

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 generic and mismatched with the tool's purpose. For example, 'url' is described as 'normalize or cite,' 'ref' as 'Git ref name,' and 'city' as 'weather hint,' none of which relate to fetching HTTP status. This makes the semantics misleading 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 action (HEAD), the resource (public URL), and the result (return status only). This distinguishes it from content-fetching tools and makes its purpose unambiguous.

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

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

No usage guidance is provided. The description does not mention when to prefer this tool over siblings like browser-url-ok or web-fetch, nor does it specify 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?

The only behavioral disclosure is 'Path discarded', which hints at how input is processed. However, with no annotations at all, the description carries the full burden of transparency, and it does not mention side effects, return values, or failure modes. The disclosure is minimal.

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, tightly worded sentence with no redundant words. It is front-loaded with the core action. However, the parameter descriptions below are verbose and irrelevant, which slightly detracts from the overall structure, but the primary description itself is concise.

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

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

The description lacks essential context: no mention of output format, expected parameters, or how the parsed URL components are returned. There is no output schema, no annotations, and the parameter descriptions are incoherent, leaving the agent without enough information to correctly 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?

Although the schema lists descriptions for all 9 parameters, these descriptions are clearly mismatched with the tool's purpose (e.g., 'city' for weather, 'ref' for Git, 'query' for search). They provide meaningless or misleading semantics for a Figma URL parser, making the parameter definitions unhelpful and potentially harmful for an agent.

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 a Figma file URL' and adds a specific detail about discarding the path. This is specific enough to distinguish it from generic URL tools, though it could be more explicit about output.

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

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

No guidance is provided about when to use this tool versus alternatives. The sibling tools include many similar 'shape' tools (e.g., domain-shape, jira-key-shape), and without any usage direction, an agent cannot reliably decide which tool to invoke.

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?

Only behavioral note is 'no disk access'; no mention of return values, errors, or what happens with invalid paths, and no annotations exist to fill the 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?

Description is short and front-loaded, but the brevity omits essential context; still, it is not padded or disorganized.

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 usage/return details, the description is far too thin for an agent to call this 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?

Schema descriptions are present but most are unrelated to path safety (ref, url, city, feed, host, json, zone, query) and the description does not explain their role; only 'path' is clarified.

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 it checks whether a path looks safe, but 'safe' is undefined and the schema exposes nine unrelated parameters; it does not clearly distinguish this shape check from sibling URL/query tools.

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

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

No guidance on when to use this instead of similar validators, what inputs are expected, or what conditions make a path unsafe.

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, but it only states the outcome and external service. It does not mention that most schema fields are discarded, whether external calls are made, or what side effects may 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 very short and front-loaded, with no wasted words. However, it may be too terse given the confusing parameter schema, so it is not perfectly calibrated.

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

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

The tool has nine optional parameters, no required fields, and no output schema, yet the description provides no context about expected inputs, output format, or failure behavior. It is far from complete for an agent to use 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 description adds no clarification about which of the nine optional parameters actually supplies the place name. The schema descriptions are internally inconsistent, mentioning discarded values and unrelated checks, so the description fails to resolve parameter ambiguity.

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

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

The description clearly states the tool returns latitude and longitude for a place via Open-Meteo, which is a specific and understandable purpose. It is slightly terse but enough to distinguish the core geocoding function from most sibling tools.

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

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

The description gives no explicit guidance on when to use this tool versus alternatives such as weather-hint or normalize-url. It implies use for coordinates but does not explain input selection or edge 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?

With no annotations, the description carries the burden of disclosing side effects and failure behavior. The verb 'parse' implies a pure local operation, but the description never explicitly states that no network access occurs, how invalid URLs are handled, or whether the operation is side-effect free. Schema notes like 'no disk access' apply only to unrelated parameters.

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

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

The description is a single focused sentence with no filler or redundant wording. It is front-loaded and easy for an agent 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?

The tool has nine optional parameters, no output schema, and no annotations, but the description only provides a one-line purpose. It omits required input specification, output format, error behavior, and selection context, leaving an agent without enough information 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?

Although schema description coverage is 100%, the parameter descriptions are generic and appear copied from other tools (e.g., 'HTTPS URL to normalize or cite', 'City name for a public weather hint'). The description does not clarify that `url` is the relevant parameter, whether other parameters are ignored, or why there are nine optional fields with no required field.

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

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

The description uses a specific verb ('parse') and identifies the exact resource ('owner and repo') and source ('GitHub URL'), making the tool's core purpose immediately clear and distinguishing it from sibling URL and shape tools.

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

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

No guidance is given on when to use this tool instead of alternatives such as normalize-url, domain-shape, or figma-url-shape. The description states only what the tool does, not when it should be chosen.

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

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

With no annotations, the description must carry the full behavioral burden. It only states that titles are discarded, but does not disclose whether the tool makes network calls, has side effects, or how the count is computed. This is insufficient for an agent to understand 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 two short sentences with no waste. It front-loads the primary purpose and adds a behavioral note. It is appropriately sized, though the second sentence could be more informative.

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

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

Given the tool has 9 parameters and no output schema, the description is far too sparse. It does not explain what the parameters are for, what the count represents, or the return format. An agent cannot call this tool confidently with only this description.

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 coverage is 100%, the parameter descriptions are generic and appear copied from unrelated tools (e.g., 'Git ref name; discarded after the shape check'). The tool description adds no meaning to these parameters and does not clarify how they relate to counting Hacker News stories.

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

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

The description clearly states the tool counts current Hacker News front-page stories, giving a specific verb and resource. It is distinct from sibling tools like domain-shape or github-repo-shape. However, it doesn't explain why it accepts nine unrelated parameters, which could confuse 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 alternatives, nor any mention of prerequisites or context. 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?

No annotations are provided and the description offers no behavioral details. It does not mention read-only status, side effects, or what happens with the many input parameters. The schema notes some values are 'discarded,' but the description itself gives no behavioral 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 very short and front-loaded, but it is too vague to be effective. There is no wasted text, yet the brevity sacrifices the clarity needed for the tool's purpose.

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

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

With no output schema and no description of return values, errors, or expected usage patterns, the tool is severely under-specified. An agent would not know what to expect from calling it or how to interpret results.

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 all 9 parameters with descriptions, the description adds no parameter-level meaning. Several schema descriptions are irrelevant or confusing (e.g., 'discarded after the shape check') and do not clarify how the parameters relate to IANA timezone names.

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') but does not state the action performed (e.g., list, validate, or return). It is unclear whether this tool returns a list, checks a name, or provides metadata for clock-related calls.

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 timezone, utc-time, or normalize-url. The description provides no conditions, scenarios, or exclusions to help an agent choose correctly.

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 for behavioral transparency. It discloses the core behavior (fetching and counting) but does not mention network dependencies, potential failures, or rate limits. It is not contradictory, but it is minimal.

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 sentence, directly to the point, and contains no unnecessary words. It front-loads the action and the return type.

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 and schema lack essential context for correct invocation. There is no explanation of what 'group counts' means, which parameter contains the target host or URL, or what output format to expect. The parameter mismatch further compounds the incompleteness.

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 all 9 parameters, the parameter descriptions are entirely inconsistent with the tool's stated purpose. For example, 'url' says 'normalize or cite,' 'city' says 'weather hint,' and 'json' says 'validate.' These descriptions are misleading and do not clarify which parameter is needed to fetch a robots.txt file.

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 ('Fetch'), resource ('public robots.txt'), and outcome ('return group counts only'). It also distinguishes from alternatives by using 'only' to signal that this tool returns counts, not the full file.

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

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

The description provides no guidance on when to use this tool versus the many sibling tools. It does not mention any conditions, alternatives, or preferred scenarios.

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 'Key discarded' and gives no detail about side effects, output, or failure 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 brief and free of fluff, but the phrase 'Key discarded' adds some ambiguity rather than 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?

The description omits critical context such as expected return value, whether a valid key shape implies a boolean, and why nine unrelated optional parameters are accepted.

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

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

The input schema has 100% parameter description coverage, so the baseline is 3. The tool description itself adds no further explanation of how parameters relate to the Jira key shape check.

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

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

The description names a specific object ('Jira issue key shape') and uses a clear verb, but 'Key discarded' is ambiguous and the schema contains no 'key' parameter, leaving the actual 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?

The description gives no guidance on when to use this tool versus sibling shape-checking tools, nor does it explain 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 disclosing side effects, read-only behavior, or error conditions. It does none of this, offering only a fragment that fails to explain what happens when the tool is called.

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 it is under-specified rather than efficiently structured. It lacks a verb and any organizational elements, making it more of a label than a useful tool description.

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

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

There is no output schema, no return-value explanation, no usage context, and no elaboration of the language-tag behavior. The description is insufficient for an agent to understand what the tool does, what it returns, or when it is relevant.

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 100% description coverage, so the baseline is 3; however, the tool description adds no connection between these parameters and the stated language-tag purpose. The parameter descriptions are individually clear but collectively unrelated to the tool's apparent 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 'ISO 639 language tag ha.' does not state what the tool does; it is a noun phrase with no verb or action. It gives no indication of whether it validates, returns, or hints at a language tag, and does not distinguish it 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?

No guidance is provided about when to use this tool versus any sibling tool, nor are any preconditions or typical scenarios mentioned. The description and schema do not clarify the intended use case.

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 disclosing behavior. It mentions that the body is discarded, but it does not explain network access, request method, side effects, rate limits, 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 no filler words. The two sentences efficiently state the output and that the body is discarded.

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

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

Given the complex input schema and lack of an output schema, the description is too sparse. It does not explain the return format, how to supply the URL, what happens when multiple parameters are provided, or possible failure modes.

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 nine optional parameters, but the description does not clarify which one is actually used. Several schema descriptions are irrelevant or misleading for a 'public library docs URL' tool, such as 'city name for a public weather hint' and 'IANA timezone name', so the parameter semantics add confusion rather than 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 says the tool reports an HTTP status for a public library docs URL and discards the body, so the core function is understandable. However, it lacks an explicit verb and does not distinguish this from sibling tools like fetch-status or web-fetch.

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

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

There is no guidance about when to use this tool instead of related sibling tools such as fetch-status, browser-url-ok, or normalize-url. The description does not mention alternatives or conditions for selection.

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

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

There are no annotations, so the description carries the full burden. It discloses that values are discarded, but does not explain output format, side effects, error behavior, permissions, or what happens with ignored parameters. This is insufficient for an unannotated tool.

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 free of fluff, but the brevity sacrifices critical details. There is no structure or organization, and the two sentences do not convey how to invoke the tool correctly.

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

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

The definition is severely incomplete: no output schema, no examples, no error behavior, and no relationship to sibling tools. With nine optional parameters and no required parameter, an agent cannot determine what input to provide.

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 optional strings, and none is clearly identified as the JSON object whose keys are counted. The 'json' parameter description says 'validate; discarded after the check', which contradicts the tool's stated purpose. Other parameters (city, url, timezone, query) appear copied from unrelated tools and are actively misleading.

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

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

The description states a clear operation ('Count keys') and target ('JSON object'), but the input schema exposes nine unrelated string parameters, making it unclear which parameter contains the JSON object. It does not distinguish itself from sibling tools like validate-json or search-query-len beyond the 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 on when to use this tool versus alternatives such as validate-json or search-query-len. There are no conditions, prerequisites, examples, or explicit 'use when' instructions; only the minimal hint that values are discarded.

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

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

The description does not disclose any behavioral traits such as side effects, limitations, or how it handles extra or ignored parameters. It claims to drop query and fragment, but does not explain behavior for the other schema fields.

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 (a single sentence), which is efficient, but it omits critical information about the other schema fields. It is structurally simple but not adequately informative for such a complex schema.

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

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

Given the 9-parameter schema and no output schema, the description is severely incomplete. It does not explain the role of most parameters, the expected output structure, or any edge cases. The description fails to provide sufficient context for an agent to use 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 covers 100% of parameters with descriptions, but the tool description only relates to 'url' and 'query'. The descriptions for 'ref', 'city', 'feed', 'json', 'zone', etc., appear generic and do not align with the stated purpose of normalizing a URL. No additional meaning is added beyond the schema.

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

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

The description states a specific action (return origin, host, path) but is inconsistent with the input schema, which includes many unrelated fields (ref, city, feed, json, zone). It does not clearly define what the tool actually does with these parameters, leaving the purpose 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 provided on when to use this tool versus alternatives. The description does not mention any context or scenarios where this tool is preferred, nor does it specify what inputs are actually relevant.

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

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

The only behavioral disclosure is that no browser is launched. The description omits whether a network request is made, what success criteria are used, whether there are timeouts or side effects, and why several input parameters are accepted but described as 'discarded.'

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

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

The description is concise and front-loaded, with the primary purpose stated first and the key constraint ('No browser is launched') placed second. Both sentences contribute meaning without extraneous 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?

Given the tool has 9 parameters, no required parameters, and no output schema, the minimal description leaves too much unspecified. It does not explain which parameter is the actual URL to check, what the return value or status looks like, or how the 'discarded' parameters relate to the tool's operation.

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, and the tool description itself does not need to add parameter-level detail beyond that. However, some schema descriptions (e.g., `url` as 'HTTPS URL to normalize or cite') appear inconsistent with the tool's stated purpose, so the parameter semantics are only baseline adequate.

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 high-level purpose ('Check whether a URL can be opened'), but 'can be opened' is ambiguous—it could mean HTTP reachability, URL syntax validity, or browser rendering. The statement 'No browser is launched' adds a constraint but also creates some confusion given the Playwright-oriented name.

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

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

The description provides no explicit guidance on when to use this tool versus alternatives such as browser-url-ok, fetch-status, or normalize-url. It neither mentions sibling tools nor gives conditions for when this tool should be preferred, leaving selection largely 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 says 'Query discarded,' indicating no persistence, but it does not disclose that all other eight parameters appear to be unused or ignored. It also does not state whether the tool is read-only, what it returns, or how errors are handled. With no annotations, this 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 two short sentences with no redundant wording. It is front-loaded with the action and provides a concise side-effect 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?

The tool has nine parameters and no output schema, but the description only explains the action for 'query' and leaves the other eight parameters unaddressed. It does not state the return format, which is critical for a tool whose purpose is to return a count, nor does it explain why unrelated fields exist. This is 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 descriptions already cover all nine parameters, and coverage is 100%, so the baseline is 3. The description adds no additional meaning beyond naming the query text; it does not clarify how the extra parameters relate to the tool's operation, if 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 the tool's action: counting characters in a search query. It identifies the resource and implies the result is a character count. It loses a point because it does not explicitly map 'search query' to the 'query' parameter, though the schema makes that connection 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?

No guidance is given about when to use this tool versus sibling tools such as memory-key-count, hn-front-count, or think-steps. The description only states what it does, with no mention of alternatives, prerequisites, or when it 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?

The description does not disclose any tool behavior such as side effects, network calls, read-only guarantees, or whether inputs are ignored. The parameter descriptions imply values are discarded or used only for shape checks, but the tool-level behavior is completely 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 very short and does not waste words, but it omits essential context and the word 'short' adds no value. It is structurally minimal to the point of being underinformative.

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 far from complete. It lacks return format, example usage, parameter selection rationale, and any explanation of how a 'catalog of status codes' relates to the arbitrary input fields.

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 parameters have descriptions, they are a mismatched set (ref, city, json, zone, etc.) unrelated to HTTP status codes and do not explain how any of them should be used. The 'discarded after the shape check' notes add some semantics but create confusion rather than clarity.

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 'Short catalog of common HTTP status codes' is vague and does not state an explicit action or clarify whether it returns a static list, checks a URL's status, or maps inputs to codes. It reads more like a noun phrase than a tool description and does not connect to the provided 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 on when to use this tool versus sibling tools like fetch-status or browser-url-ok. No use cases, limitations, 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?

With no annotations, the description must carry the burden of explaining side effects, but it only says 'Prompt discarded' and that some params are 'discarded after' checks. It does not clarify whether the tool is read-only, whether it performs network access, or what 'discarded' means for the output.

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 well structured: 'Prompt discarded' is an unclear second sentence that adds confusion rather than useful information. The tool would benefit from a clearer explanation of the template and the role of inputs.

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

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

With no output schema and no explanation of the template's content or format, the description leaves too much unspecified. The 9 optional parameters are not tied to any observable behavior, so an agent cannot predict what invoking this tool will do.

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 incoherent in the context of a 'thinking template' tool. Params like 'ref', 'city', and 'json' are described as discarded or used for unrelated checks, which does not tell the agent what values to provide or how they affect the returned template.

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 returns a 'three-step thinking template' but the phrase 'Prompt discarded' and the unrelated parameter list make the actual purpose unclear. It does not state what the template is for or how it relates to the tool name.

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 instead of the many sibling tools such as validate-json, search-query-len, or normalize-url. The description gives no context for selecting 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 provided, and the description does not mention whether the tool is read-only, produces side effects, or has any access restrictions. The description fails to disclose behavioral characteristics that would be important for safe invocation.

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

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

The description is a single, concise sentence without unnecessary verbosity. However, given the complexity and apparent inconsistency of the input schema, the brevity fails to provide enough structure to contextualize the parameter list.

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 critical information such as expected output format, error conditions, timezone validation details, and the purpose of the extraneous schema fields. An agent cannot fully understand how to invoke the tool correctly or interpret results.

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 only implicitly refers to the 'zone' parameter via 'named IANA timezone'. The other eight parameters in the schema (e.g., 'ref', 'url', 'city') are unrelated to the stated purpose and are not explained in the description, leaving an agent confused about whether they are required or relevant.

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

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

The description clearly states the tool's purpose: returning the current time for a specified IANA timezone. It is specific and unambiguous.

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

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

The description lacks any comparison with sibling tools like 'utc-time' or 'iana-zones', so an agent receives no guidance on when to prefer this tool over alternatives.

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

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

No annotations are present, so the description must fully disclose behavior. It only states the output and gives no indication that the tool is read-only, that all parameters are ignored, or that there are no side effects. The parameter schema mentions 'discarded' for each, but the tool description itself adds no 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 a single short sentence with no wasted words. It is appropriately sized for a simple tool, though it lacks any structure beyond the bare statement. It could benefit from a brief note about parameter behavior, but conciseness itself is strong.

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 being a simple timestamp tool, it exposes 9 optional parameters that are clearly irrelevant to the result. The description does not explain their purpose or why they exist, which could confuse an agent. Without an output schema or annotations, the description leaves significant context unaddressed.

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 clear descriptions for each of the 9 parameters (e.g., 'Git ref name; discarded after the shape check'). The tool description adds nothing beyond what the schema already conveys. Since the schema already documents the parameters adequately, the baseline of 3 applies.

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

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

The description "Current UTC timestamp" clearly identifies the tool's function: it returns the current UTC time. This distinguishes it from siblings like 'timezone' (likely returns timezone info) and 'iana-zones' (lists zones), though it lacks an explicit verb like 'returns'. The purpose is unambiguous despite being terse.

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 its siblings. With related tools such as 'timezone' and 'iana-zones', an agent could easily confuse them. There is no mention of context, exclusions, or alternatives.

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

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

The phrase 'body is discarded' hints at a read-only operation, but there is no explicit statement about side effects, return value, error behavior, or whether the tool makes any network calls. With no annotations, the description carries the full burden and leaves too much unspecified.

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

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

The description is short, but the brevity sacrifices necessary clarification. It lacks any structure for distinguishing relevant from irrelevant parameters, making the concise wording more confusing than helpful.

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

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

The tool has no output schema, no required parameters, and no enums, so the description must supply context. It does not explain what 'valid JSON' means, whether the tool returns a boolean, what exceptions could occur, or how to handle the extra schema fields.

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 irrelevant distractors (e.g., 'Git ref name', 'City name for a public weather hint') that do not relate to JSON validation. The description fails to clarify that only the 'json' field is likely meaningful and that other fields should be ignored or omitted.

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 checks whether a body is valid JSON, but it never identifies which input parameter represents the body. The schema contains nine unrelated fields, so an agent cannot confidently map the description to the actual input.

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

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

No guidance is given about when to use this tool versus sibling tools such as search-query-len, normalize-url, or fetch-status. There is no mention of expected input format, prerequisite conditions, or how to handle invalid JSON.

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 states the basic function without disclosing behavioral traits such as rate limits, error handling for unknown cities, or that the call is read-only. The description is too thin to prepare the agent for actual usage.

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 wasted words. It is appropriately front-loaded and efficient, earning a perfect score for 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 tool's complexity (9 parameters, no output schema, no annotations), the description is far too minimal. It does not explain return format, expected behavior, or how the parameters are used. An agent would struggle to invoke it correctly based solely on this description.

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 schema coverage is 100%, the description does not clarify that only the 'city' parameter is relevant; the other 8 parameters appear unrelated (e.g., ref, url, feed, json). The schema itself hints at discarding, but the description adds no guidance on which parameters to actually pass. This is a significant gap given the parameter 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 verb and resource ('Current temperature for a city') and names the data source ('via Open-Meteo'). It clearly distinguishes this from sibling tools like geo-hint or web-fetch, as it is unambiguously about weather.

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. There is no mention of conditions, prerequisites, or exclusions. The agent is left to infer that it is for weather queries, but no explicit context or comparison to siblings exists.

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 parameter descriptions contradict the tool purpose: 'url' is described as 'HTTPS URL to normalize or cite' rather than to fetch, and several unrelated params (ref, city, feed, json, path, zone, query) appear with no explanation of how they relate to web-fetch. This is misleading about the tool's actual 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 main description is a single concise sentence, front-loaded with the key action. However, the schema includes many unnecessary-looking optional parameters that clutter the overall tool definition.

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 does not state which parameters are needed, what a successful call returns, or how errors are reported. With 9 optional parameters and no required ones, an agent cannot reliably know how to invoke it, especially since the url parameter description is inconsistent with 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?

Although every parameter has a description, most seem copy-pasted from other domains and do not clarify how they are used by web-fetch. For example, 'zone' is 'IANA timezone name' and 'query' is 'Search text; discarded after the length check', which do not align with a URL fetch tool.

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

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

The description states a concrete action and object: 'HTTP status and content type for a public URL. Body discarded.' This is enough to understand the core purpose, though it does not explicitly say 'fetch'.

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

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

No alternative tools or conditions are mentioned. The only hint is that the body is discarded, implying it is for header/status checks, but this is not an explicit usage guideline.

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

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

With no annotations, the description carries the full burden. It discloses that the title is discarded after the call, which is a privacy-related behavioral note. However, it does not state whether the operation is read-only, what happens on failure, or any other side effects. The discard note adds some transparency but is minimal.

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 (two sentences) and front-loaded with the purpose. However, it is under-specified to the point of being unhelpful; brevity is achieved at the cost of necessary detail about input and behavior.

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 fails to explain which parameter(s) to use, the expected return value, error behavior, or any context about how the check is performed. An agent cannot reliably invoke this tool correctly with only this description.

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 descriptions for each parameter, but these descriptions are for unrelated concepts (e.g., 'Git ref name', 'HTTPS URL', 'City name'). The tool description does not bridge the gap between the stated purpose and the parameters; it never mentions which parameter to use for the Wikipedia title. Thus the description adds no value in mapping parameters to the tool's functionality.

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 purpose: 'Check whether a Wikipedia title exists.' However, it does not explain how to supply the title, and the input schema contains no parameter named 'title' — all 9 parameters refer to unrelated concepts (ref, url, city, feed, etc.). An agent would be uncertain which parameter to use, so the purpose is clear at a high level but not actionable.

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 siblings like browser-url-ok or domain-shape. No mention of prerequisites, context, or exclusions. The only hint is the name, which suggests a Wikipedia title check, but no explicit usage instructions are provided.

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