Language gd

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

The description does not disclose side effects, required permissions, or the actual behavior of the tool. Notes like 'Task text discarded' and 'no disk access' are insufficient to understand what happens during execution. Since there are no annotations, the description carries the full burden, which it fails to meet.

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

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

The description is very short, but its brevity is not a virtue because it omits essential information. It is not well-structured; it lists disjointed concepts without a clear flow. While there is no unnecessary verbosity, the lack of substance makes this a poor concise 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?

Given the tool has 9 optional parameters and no output schema, the description is far from complete. It does not explain what the tool does, what inputs to provide, what outputs to expect, or how it relates to the sibling tools. The description is utterly inadequate for an agent to use 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?

Although the schema covers 100% of parameters, the descriptions are either irrelevant or contradictory to the stated purpose. For instance, 'city name for a public weather hint; discarded after the call' and 'JSON text to validate; discarded after the check' suggest these parameters are placeholders with no real semantic connection to the tool's function. The descriptions do not clarify how any parameter should be used.

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 fails to state a clear purpose. Phrases like 'public pay-per-call tool gateway' are undefined, and the list of example tasks (weather, search, scrape, voice) does not clarify what the tool actually does. The statement 'Returns connection methods' is ambiguous and does not specify what kind of output to expect.

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 any sibling tool. There is no mention of conditions, prerequisites, or typical scenarios. Without this information, an agent cannot determine when this tool is appropriate.

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

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

The description reveals that no browser is launched, but it omits critical behavioral details: whether a network request is made, what 'opened' means, what failure modes exist, or what side effects may occur. With no annotations present, the description carries the full transparency burden.

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 each sentence earns its place: the first states the purpose and the second adds a relevant constraint. However, it lacks structure to organize the nine optional parameters and would benefit from a brief note on their role.

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 nine optional parameters, the description is severely incomplete. It does not specify what the tool returns, how 'ok' is determined, which parameters are relevant when, or how the parameters interact. This leaves an agent without essential information to invoke the tool correctly.

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

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

Although the schema has 100% per-parameter descriptions, those descriptions are inconsistent with the stated purpose (e.g., 'Git ref name; discarded after the shape check') and do not clarify how parameters like city, zone, or query relate to checking if a URL can be opened. The main description adds no parameter-level meaning.

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

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

The description states a clear action ('Check whether a URL can be opened') and a constraint ('No browser is launched'), but it does not explain how the many unrelated parameters (city, feed, json, zone, etc.) relate to this purpose, leaving the tool's 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?

There is no guidance on when to use this tool versus the many sibling tools like playwright-url-ok, fetch-status, or normalize-url. The only usage hint is 'No browser is launched', which is a behavioral constraint rather than usage guidance.

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

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

The only disclosed behavior is that an expression is discarded. The description does not mention whether the tool returns a result, performs validation, has side effects, or how it handles errors.

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 intended action, but the second clause 'Expression discarded' is ambiguous and adds confusion rather than useful 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?

There is no output schema, no explanation of how the optional string parameters relate to the computation, and no success or error behavior. An agent would not know what to pass or what to expect in return.

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 nine parameters have individual descriptions, they are unrelated to arithmetic evaluation: git ref, URL, city, feed, host, JSON, path, timezone, and search query. None of them maps to an arithmetic expression, so the schema does not support the stated 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 'Evaluate a+b style arithmetic', but the schema contains no expression, a, or b parameters. The phrase 'Expression discarded' makes the actual computation ambiguous and leaves the agent unsure what input to provide.

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 instead of the many sibling validation and lookup tools. No prerequisites, selection criteria, or examples 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 carries the full burden of disclosing behavior. It mentions that page content is not stored, but omits side effects, error behavior, network access, or any other operational traits.

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

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

The description is a single, focused sentence with no unnecessary detail. It front-loads the core return values and adds one important caveat about page content not being stored.

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 does not clarify which parameters are relevant or required, nor does it describe the output format. It is too terse for an agent to confidently select and invoke the tool with correct arguments.

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% property coverage, so the baseline is 3. Some descriptions like 'discarded after the shape check' help identify irrelevant parameters, but the tool description itself adds no parameter-specific explanation and leaves url as the only inferred relevant 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 states clearly that the tool returns host, scheme, and HTTP status for a URL, and notes that page content is not stored. It distinguishes itself from a content-fetching tool, though it does not explicitly contrast 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?

No guidance is provided about when to use this tool versus alternatives such as fetch-status or normalize-url. The description only states what it returns, not when it should be selected.

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

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

With no annotations, the description carries the full burden of explaining side effects and safety. It partially does so by stating 'No identifiers are retained' and per-parameter 'discarded' notes, but it fails to disclose what happens during classification, whether it performs network access, or what error or success states look like.

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 and parameter descriptions are concise and free of unnecessary detail. The structure is clean and easy to scan.

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

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

The tool lacks an output schema and the description does not explain what a classification result looks like. With all parameters optional and no return-value description, the agent cannot predict the tool's behavior or interpret its result. More context about the classification outcome is needed.

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 baseline is 3. Each parameter has a short description, but they are largely generic and do not explain how the parameters relate to the classification logic. The notes like 'discarded' and 'no disk access' add some context but do not clarify the intended semantics for using the tool.

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

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

The description 'Show how this request is classified' is extremely vague. It does not state what classification means, what output is produced, or how this tool relates to its siblings. A user cannot tell what specific capability this tool provides.

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

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

There is no guidance on when to use this tool versus any of the many sibling tools. No conditions, examples, or alternative references are provided, leaving the agent to guess when compatibility is 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?

With no annotations, the description must explain side effects and data access; it only says 'without WHOIS or data' but does not state whether network/DNS lookup occurs, what is returned, or that unrelated params are discarded. Several param descriptions mention 'discarded after the shape check,' which contradicts the 'split' behavior in the description.

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

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

The description is brief and front-loaded, but brevity comes at the cost of necessary detail; it reads more like a terse hint than a usable specification.

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

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

The tool has 9 optional parameters, no required parameters, and no output schema. The description fails to specify what input should be provided, how the parameters relate, or what result shape to expect, so an agent cannot confidently invoke it.

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

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

Although every parameter has a textual description, they are largely unrelated to splitting a hostname (url, city, feed, json, path, zone, query) and the descriptions suggest shape-check/discard semantics rather than hostname label splitting. The only relevant-looking parameter is 'host', but its description 'Public hostname' is too thin to clarify usage.

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

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

The description names a specific action and object ('Split a hostname into labels'), but the phrase 'without WHOIS or data' is ambiguous and the input schema exposes nine unrelated optional fields, with no dedicated hostname parameter except 'host'. This makes the tool's actual purpose unclear and poorly differentiated from sibling shape/URL tools.

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

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

No guidance is given on when to use this tool versus alternatives like normalize-url, browser-url-ok, or other shape checkers. The only hint is the negative 'without WHOIS or data', which is not enough to route an agent reliably.

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 says HEAD and status only, but it does not disclose network access, how invalid or unreachable URLs are handled, whether any content is ever returned, or what happens when non-URL parameters are supplied.

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

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

The description is a single concise sentence and is front-loaded with the main action. However, it may be too terse given the large and heterogeneous parameter schema, leaving out essential clarification.

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 error/status-code behavior, and no description of the returned shape beyond 'status only.' Given the nine optional parameters and rich sibling-tool context, the description is not complete enough 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?

While every parameter has a schema description, most are irrelevant to the described HEAD operation and several are explicitly marked as discarded. With no required parameters, the agent cannot tell which field actually selects the URL to 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 states a single HTTP HEAD action and status-only output, but the input schema exposes nine unrelated optional parameters—ref, city, feed, json, path, zone, query—with no explanation of how they map to that action. The core purpose is therefore ambiguous and contradicted by the parameter surface.

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 fetch-status versus sibling tools such as browser-url-ok, playwright-url-ok, normalize-url, or web-fetch. The agent cannot determine the intended selection criteria.

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

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

With no annotations, the description itself is the only source of behavioral information. It mentions that the path is discarded but does not explain side effects, read-only guarantees, error behavior, or what happens with non-Figma URLs.

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

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

The description is very short and front-loaded with the core action, containing no fluff or redundant phrasing. The brevity is beneficial, though it sacrifices clarity in the ambiguous 'Path discarded' phrase.

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 is provided, and the description gives no indication of the return value or how the nine parameters should be combined. The tool is not self-contained enough for an agent to use confidently without additional external knowledge.

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 generic and largely disconnected from parsing a Figma file URL; parameters like 'city', 'feed', 'zone', and 'json' appear irrelevant based on the tool's stated purpose. The descriptions do not help an agent understand which parameters are meaningful or how they relate to the URL parsing operation.

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

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

The description names a specific action and object ('Parse a Figma file URL') but does not clarify what 'Path discarded' means or what the tool actually returns. The purpose remains ambiguous for an agent trying to decide whether to call it.

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

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

There is no guidance on when to use this tool versus alternatives such as normalize-url, browser-url-ok, or other URL-related siblings. The description provides no context about expected inputs, use cases, or conditions that would make this tool 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?

Without annotations, the description must convey behavior. It notes 'No disk access' but omits return values, error behavior, side effects, or what constitutes a 'safe' path. This leaves significant gaps.

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

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

The description is very short and free of fluff, which is positive. It lacks structure (e.g., no mention of parameters or behavior domains), but the brevity itself is not problematic.

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

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

Given 9 parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain how the parameters interact, what the tool returns, 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?

All 9 parameters have schema descriptions, so coverage is complete. However, the description itself adds no extra meaning beyond the schema, and several parameters seem unrelated to the tool's purpose (e.g., 'query', 'zone').

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 path looks safe') and identifies the resource ('path'), but does not clarify what 'safe' means or the tool's broader purpose. It is clear enough for basic intent but lacks depth.

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, prerequisites, or how it relates to sibling tools. The description gives no context for selection or invocation.

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

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

The description mentions Open-Meteo, implying an external network call, and several parameter descriptions note that inputs are discarded or that no disk access occurs. However, it does not disclose potential errors, rate limits, data retention, or whether the operation is read-only, and no annotations fill that gap.

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

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

The description is a single focused sentence with no redundant wording and is easy to scan. It is concise, though it sacrifices necessary usage detail; 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 tool has nine optional parameters and no output schema, yet the description does not explain what input to provide, what latitude/longitude format to expect, or how failures are reported. This is far too incomplete for a tool with such an ambiguous and overloaded parameter set.

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

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

Although every parameter has a schema description, those descriptions are inconsistent with the tool's stated purpose: city is described as being for a weather hint, query as a length check, and url as normalization or citation. The main description adds no mapping from parameters to the place being geocoded, so an agent cannot confidently choose the correct input.

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

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

The description states latitude and longitude are returned via Open-Meteo, but it never identifies which of the nine optional parameters represents the 'place.' The schema descriptions for city and query point toward weather/length-check behavior rather than geocoding, making the purpose ambiguous in practice.

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

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

There is no guidance about when to choose geo-hint over sibling tools such as weather-hint or iana-zones, nor any prerequisites or example use cases. The only implicit clue is that coordinates are needed, but no 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?

No annotations are provided, so the description carries the full burden, but it fails to explain behavior. Param descriptions state that values are 'discarded after the shape check,' 'discarded after the length check,' or that there is 'no disk access,' yet the description claims the tool parses owner and repo from a GitHub URL — the relationship between discarding params and parsing is unexplained. It is unclear whether the tool has side effects, what it returns, or how it handles malformed input.

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 itself is concise — a single sentence — but the overall structure is bloated with nine unrelated parameters that lack any coherent organization or grouping. The mismatch between the minimal description and the sprawling schema makes the tool definition feel cluttered and incoherent, diminishing the value of the brevity.

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

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

With nine parameters, zero required fields, no output schema, and no annotations, the description leaves critical gaps: it never states what the output looks like (an object? strings?), how errors surface for non-GitHub URLs, or which parameter (if any) actually holds the URL. The disconnected parameter descriptions raise more questions than they answer, making the tool insufficiently specified 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 schema coverage is 100%, the parameter descriptions are copy-paste artifacts from unrelated tools: 'city' references a weather hint, 'zone' an IANA timezone, 'json' a validation check, 'query' a length check, and 'feed' an RSS URL. None of these map meaningfully to parsing a GitHub URL's owner and repo; even the 'url' parameter's description mentions 'normalize or cite,' which conflicts with the parsing purpose. The descriptions actively mislead rather than clarify parameter roles.

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 (parse), resource (owner and repo), and scope (from a GitHub URL), which is clear in isolation. However, the input schema contains nine unrelated parameters (city, zone, json, query, path, feed, host) whose descriptions reference weather hints, timezones, JSON validation, and length checks, none of which align with GitHub repo parsing. This mismatch between description and schema undermines purpose clarity for an agent trying to understand what the 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?

The description provides no guidance on when to use this tool versus alternatives like normalize-url, domain-shape, figma-url-shape, or jira-key-shape. There is no mention of prerequisites (e.g., URL format expected), fallback behavior for invalid URLs, or when this tool is preferred over sibling tools. An agent receives zero directional support for tool selection.

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

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

With no annotations, the description carries the full burden of explaining behavior. It only mentions that titles are discarded, but does not disclose that the many input parameters appear to be ignored, nor does it describe side effects, output format, 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 extremely concise and contains no fluff. Both sentences earn their place: one states the action and scope, the other clarifies the output limitation.

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

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

The description is too sparse for the tool's actual complexity. It does not explain why the schema contains nine seemingly unrelated optional parameters, does not describe the exact return value beyond 'count', and omits any mention of how the parameters relate to the task.

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?

Despite 100% schema description coverage, the parameter descriptions are irrelevant to the tool's stated purpose and appear to be generic filler (git ref, URL, city, feed, host, JSON, path, timezone, query). They add confusion rather than meaning, and mostly only state that values are discarded.

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

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

The description states a specific verb ('Count'), a clear resource ('current Hacker News front-page stories'), and a scope ('current'). The phrase 'Titles discarded' further clarifies that the result is a count rather than detailed story data.

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

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

The description provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites, context, or conditions for appropriate use.

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 side effects, permissions, or internal behaviors. It fails to mention that most parameters are discarded or that the tool performs only a validation/check.

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

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

The description is a single short sentence, so it is concise, but it lacks any structure or elaboration. It does not convey essential information in a well-organized manner.

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 high parameter count and no output schema, the description is far from complete. It fails to explain what the tool returns, how the parameters interact, or why there are so many seemingly unrelated parameters.

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 provides no explanation of the nine parameters. While the schema includes descriptions for each, those descriptions are cryptic (e.g., 'discarded after the length check') and do not clarify their purpose or relationship to the tool's function.

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

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

The description mentions IANA timezone names and clock calls, but it does not specify what the tool actually does (e.g., list, validate, convert). It is ambiguous and does not distinguish this tool from related tools like 'timezone' or 'utc-time'.

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

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

No guidance is given on when to use this tool versus alternatives. It does not mention any conditions, prerequisites, or typical use cases, leaving the agent without context for selection.

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

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

The description states it returns group counts, but does not clarify the side effects or how parameters are handled. The parameter descriptions mention 'discarded after the shape check' which implies validation but no details are given, so behavioral transparency is limited.

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 words. It is well-structured, though it omits critical details; the brevity itself is acceptable.

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 such as what 'group counts' means, which parameter to use, and how the other eight parameters are relevant. Without an output schema, this minimal description is insufficient for an agent to use the tool effectively.

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 descriptions are misleading and generic (e.g., 'url' described as 'normalize or cite', 'host' as 'Public hostname'). They do not align with the actual purpose of fetching robots.txt, providing incorrect or irrelevant semantics beyond the schema.

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

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

The description states the action 'Fetch a public robots.txt' but fails to specify which parameter provides the target URL or host, making it ambiguous. It also doesn't differentiate from sibling tools like fetch-status or web-fetch, so the purpose is only partially 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 provided on when to use this tool versus alternatives. The description does not mention typical use cases, prerequisites, or criteria for selection, leaving the agent without directional information.

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 transparency burden. It only says the key is discarded and some params say 'no disk access' or 'discarded', but it does not disclose read-only behavior, failure modes, or what happens with an invalid shape; the purpose-schema mismatch further hides 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 very short and front-loaded ('Check a Jira issue key shape. Key discarded.'), with no fluff, but it is too terse to bridge the gap to the mismatched schema; the overall structure provides no helpful organization or examples.

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 required fields, no output schema, and no annotations, an agent cannot determine which parameter holds the key, what input format is expected, or what result is returned; the tool 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 every parameter has a schema description, the descriptions are incoherent with the tool purpose (e.g., 'Git ref name', 'City name for a public weather hint', 'JSON text to validate'); no parameter is clearly identified as the Jira key, so the descriptions 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 states the tool checks a Jira issue key shape and discards the key, but the input schema exposes nine unrelated string parameters (ref, url, city, feed, host, json, path, zone, query) and no obvious key parameter, so an agent cannot map the stated purpose to an invocable 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?

There is no guidance about when to use this tool instead of sibling shape/check tools such as domain-shape, github-repo-shape, figma-url-shape, or wiki-title-ok; no conditions, prerequisites, or examples are given.

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 side effects, reads, writes, or persistence behavior. It is completely opaque about what happens when the tool is invoked.

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

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

The description is short, but it is only a fragment and lacks a verb. It is concise in length but does not earn its place because it conveys almost no actionable information.

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

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

There is no output schema and no annotations, and the one-phrase description is far too little context. An agent has no idea what inputs mean, what the return value is, or what side effects might occur.

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. However, the description itself adds no meaning about how the nine unrelated-looking parameters relate to the tool, and it leaves them 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 is a noun phrase, not an actionable statement. It says 'ISO 639 language tag gd' but does not specify whether the tool validates, returns, checks, or otherwise processes anything, so an agent cannot determine what the tool does.

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

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

There is no guidance about when to use this tool versus any sibling tool. It mentions no conditions, intended scenarios, or alternatives, leaving the agent without selection criteria.

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

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

With no annotations, the description carries the full burden of disclosing behavior, but it only mentions returning HTTP status and discarding the body. It does not explain redirect handling, timeout behavior, error responses, authentication needs, or what happens when the URL is invalid, leaving 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 brief and free of extraneous wording, with two short sentences that convey the primary action and a key side effect. It could be slightly more structured by naming the relevant input parameter, but overall it is concise and readable.

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 optional parameters and no output schema, the description is not complete enough for an agent to confidently invoke it. It does not specify which parameter to populate, what the output format will be, or how to interpret failures, so substantial context is 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?

Although all 9 parameters have descriptions, most are inconsistent with the tool's stated purpose. Parameters like city, feed, zone, and query appear unrelated to checking a library docs URL, and several descriptions explicitly say values are 'discarded', which undermines their relevance and makes it unclear which parameter actually drives the tool.

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

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

The description states that the tool returns an HTTP status for a public library docs URL and discards the body, so the core purpose is somewhat clear. However, it lacks an explicit verb like 'return' or 'check', and 'public library docs URL' is ambiguous, especially given the tool name 'lib-docs-hint' and the presence of 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?

The description gives almost no guidance on when to use this tool versus alternatives such as fetch-status, web-fetch, or browser-url-ok. The only usage hint is that the body is discarded, which implicitly tells the agent not to use it when response content is needed, but no explicit selection criteria or examples 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?

No annotations are supplied, and the description only says values are discarded. It does not state whether the operation is read-only, what side effects exist, or what happens on invalid input. Field-level notes in the schema hint at non-effects, but the tool description itself is 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 short and front-loads the main action in the first sentence. The second sentence adds a useful qualifier about values, so there is little wordiness.

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: which parameter contains the JSON, what counts as a key, how to handle arrays or empty objects, return format, and error behavior. Without an output schema or further explanation, an agent cannot reliably call this 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 has nine optional string parameters with generic descriptions, but none clearly says 'JSON object whose keys are counted.' The 'json' field is described as 'JSON text to validate; discarded after the check,' which is inconsistent with counting keys, and the other fields appear irrelevant to the stated purpose.

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

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

The description states a clear action and target: count keys in a JSON object and discard values. However, it does not identify which of the nine optional input fields supplies the JSON object, so the purpose is only partially clear.

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

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

There is no guidance on when to use this tool or how it differs from siblings such as validate-json, search-query-len, or other count/shape tools. No examples 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?

No annotations are present, so the description carries the transparency burden. It discloses one key behavior (dropping query and fragment), but does not mention error handling, network access, or any validation 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 focused sentence with no filler, front-loading the verb and target. It is concise, though the mismatch with the large schema makes it less useful than its brevity would suggest.

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

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

For a tool with nine optional parameters and no output schema, one sentence is not enough. It does not specify the return format, explain the irrelevant parameters, or describe behavior for invalid URLs, leaving the schema 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 schema contains nine parameters, but the description only relates to 'url'; most parameters (ref, city, feed, json, zone, etc.) have templated descriptions that appear copied from other tools. The description does not clarify which parameters are actually used or how 'query' relates to the URL query string.

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

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

Description states a clear action (return origin, host, and path) and target resource (URL), and explicitly notes query/fragment dropping. This distinguishes it from URL-fetching/checking siblings even without naming them.

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 purpose implies when to use it (need URL components), but there is no explicit guidance about when not to use it or how it compares to alternatives like browser-url-ok, fetch-status, or web-fetch.

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

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

With no annotations, the description carries full responsibility for disclosing side effects. It states that no browser is launched and some parameter descriptions say values are discarded, but it does not disclose whether a network request is made, what statuses are treated as 'ok,' or what side effects or errors 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 main description is very short, front-loaded, and free of filler: two sentences convey the core check and the no-browser caveat. It loses a point only because it omits enough context to make the concise wording unambiguous.

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

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

For a tool with nine optional parameters and no output schema, the description is not complete enough to predict behavior. It does not explain what 'can be opened' means, how the check is performed, which parameters are actually used, or what result is returned.

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 inconsistent with the stated purpose: 'url' is described as 'HTTPS URL to normalize or cite' rather than to open, and seven other optional parameters appear irrelevant to URL checking. The tool description does not explain how these parameters relate to the 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 an action and resource ('Check whether a URL can be opened') and adds a key caveat ('No browser is launched'), but 'opened' is ambiguous and the description does not align with the nine-input schema, many of which are unrelated to URLs.

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 siblings such as browser-url-ok, fetch-status, or web-fetch. The only behavioral note is 'No browser is launched,' which does not explain the intended selection context.

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

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

The description discloses that the query is discarded and that the path parameter involves no disk access, but it does not explain potential side effects or interactions for the other accepted 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 concise sentence with no redundant elaboration.

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 or statement of the return format (e.g., integer length, including/excluding whitespace), and the role of each optional parameter is not explained, so callers cannot confidently determine correct usage.

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 of the parameters (ref, url, city, feed, host, json, path, zone) appear unrelated to counting query characters and are not marked as ignored, creating confusion about what to pass.

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

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

The description clearly states the action ('Count characters') and the target ('a search query'), making the core purpose understandable despite the odd additional 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 versus sibling tools, and the nine optional parameters with no required fields leave it unclear which input is actually needed.

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. The descriptions imply the parameters are discarded or only shape-checked, suggesting a read-only/no-side-effect call, but the description does not state return values, failure modes, or whether any parameter ever affects the result.

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

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

The description is a single concise sentence with no filler, so it is easy to scan. It is not elaborate, but brevity is appropriate for this simple apparent 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 9 optional parameters and no output schema, the description is far too sparse: it does not explain the response format, whether the tool can be called empty, what the parameters are for, or what error conditions exist.

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

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

The schema provides descriptions for all 9 parameters, but they are unrelated to a status-code catalog (git ref, URL, city, feed, host, JSON, path, timezone, query) and appear to be copied from other tools. The tool description adds no clarification about which, if any, parameters are meaningful.

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

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

The description states a clear output ('catalog of common HTTP status codes') but gives no detail about scope, filtering, or how the 9 unrelated optional parameters relate to that purpose.

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

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

There is no guidance about when to call this tool instead of sibling tools such as fetch-status or web-fetch, nor any mention of prerequisites or expected use cases.

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

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

With no annotations and a vague description, the tool's side effects and behavior are opaque. The phrase 'Prompt discarded' hints at input processing but does not clarify whether the tool is read-only, ignores all parameters, or has any other effects. No safety or persistence details are provided.

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), which is concise, but it lacks structure. There is no organization of information, and the abrupt mention of 'Prompt discarded' is placed without context, making the text feel disjointed rather than well-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 the tool has 9 parameters, no output schema, and no annotations, the description is severely incomplete. It fails to explain the meaning or usage of the parameters, the format of the returned template, or any error conditions. The agent would be unable to invoke this tool confidently or interpret its result.

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

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

Although the schema has descriptions for all 9 parameters, they are clearly mismatched with the tool's purpose. For example, 'url' is described as 'HTTPS URL to normalize or cite' and 'city' as 'City name for a public weather hint'—these have no relation to returning a thinking template. The description does not explain how any parameter affects the output, and the 'discarded' notes suggest they are irrelevant, leaving the agent unable to determine which inputs 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 states 'Return a three-step thinking template' which conveys a basic purpose, but the appended 'Prompt discarded' is ambiguous and conflicts with the expectations set by the parameter schema, which includes many unrelated fields. The purpose is not clearly or consistently articulated.

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 or how it relates to sibling tools. No context is given about typical scenarios, prerequisites, or alternatives, leaving the agent without direction on tool selection.

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

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

No annotations are present, and the description does not disclose side effects, read-only behavior, error handling, or what happens with invalid timezone names. The behavioral burden falls entirely on the description, which does not address it.

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

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

The description is a single concise sentence with no fluff or redundant wording. It is front-loaded and easy to parse, though slightly too terse to be fully 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?

The description does not explain the return format, output structure, error behavior, timezone validation, or why many input parameters are present. Given the confusing input schema and lack of output schema, the description leaves substantial 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?

Although every parameter has a schema description, the parameter list contains many fields irrelevant to timezone lookup (ref, url, city, feed, host, json, path, query). The description does not clarify that only 'zone' is actually used, leaving the parameter semantics confusing despite full schema coverage.

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

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

The description clearly states the tool's function: returning the current time for a named IANA timezone. It is specific enough to distinguish from simpler UTC-time tools, though it does not explicitly contrast with sibling tools.

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

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

There is no guidance about when to use this tool versus alternatives such as utc-time or iana-zones. The description only states what the tool does, not when it should be selected.

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 explicitly state that the tool is read-only or free of side effects. It also fails to explain how the tool treats the nine optional parameters, many of which appear unrelated to a UTC timestamp.

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

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

The description is extremely short and front-loaded, with no wasted words. However, it achieves conciseness by omitting nearly all useful context, so it is not a model of efficient completeness.

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

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

A single phrase is insufficient for a tool with nine optional parameters and no output schema. The description does not explain whether parameters are ignored, what the response looks like, or what the caller should expect, making it incomplete for practical 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?

The description does not connect any of the nine parameters to the tool's behavior. While the schema provides individual descriptions, they reference unrelated concepts like git refs, URLs, cities, feeds, hosts, JSON, paths, timezones, and queries, leaving the agent without a coherent understanding of what to pass.

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

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

The description is a noun phrase rather than a full statement of action, though it does convey that the tool returns the current UTC timestamp. It does not explicitly distinguish this tool from sibling tools like timezone or iana-zones, but the core purpose is minimally discernible.

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 timezone or iana-zones. There is no mention of prerequisites, output format, or how the nine optional parameters should be used.

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

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

The description mentions 'The body is discarded,' which indicates no persistence of input. However, it fails to disclose that only the 'json' parameter is actually used and that all other parameters (ref, url, city, etc.) are ignored. This is a significant behavioral omission that could mislead an agent into thinking multiple inputs affect validation. The given schema descriptions for those other parameters are also misleading, but the tool description does nothing to clarify the 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, consisting of two short sentences. It is well-structured, front-loading the primary action and then noting the disposal side-effect. There is no superfluous text or repetition, making it efficient for an agent to parse quickly.

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, none required, and only one relevant ('json'), the description is severely incomplete. It does not explain that the other parameters are irrelevant or ignored, nor does it clarify how the input is passed (e.g., as a string). Without that context, an agent could incorrectly assume all parameters contribute to validation. The description leaves too much essential usage 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?

The description does not add any meaningful clarification over the schema. In fact, it introduces ambiguity by referring to a 'body' parameter that does not exist in the schema. The schema descriptions for the unrelated parameters (e.g., 'ref' as 'Git ref name; discarded after the shape check') are clearly generic and not tailored to this tool, and the description fails to correct that. Only the 'json' parameter description hints at relevance, but the tool description does not highlight it. Overall, the parameter semantics are poorly conveyed.

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 function: to check whether a given input is valid JSON. The verb 'check' and the object 'JSON' provide a specific and unambiguous purpose, and the tool name reinforces this. Although the term 'body' is imprecise, it does not obscure the main intent.

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

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

The description implies usage (you would call this when needing to validate JSON) but does not explicitly state when to use it or contrast it with other tools. There is no guidance on selecting this over a sibling tool, though the specialized name partially compensates. The lack of explicit 'use this when' or 'not for' instructions keeps this at a mid-range score.

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 disclosure of side effects, permissions, or read-only nature beyond the implicit 'current temperature' wording; annotations are absent, so the description carries the full burden.

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, but it is too terse to be informative alongside the 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 nine-parameter schema with many irrelevant fields, the description is incomplete and does not provide enough context for correct invocation.

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

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

The description only hints at 'city' but does not explain the purpose of the other eight parameters; the schema lists many unrelated fields without clarification.

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's purpose (current temperature for a city) but does not specify which parameter is relevant, given the many unrelated parameters in the schema.

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

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

No guidance on when to use this tool versus alternatives; no mention of selection criteria 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. It discloses that the body is discarded, but it does not mention that the tool makes a network request, how it handles unreachable URLs, what status codes are returned, or any rate limiting 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 a single, well-structured sentence that immediately conveys the core behavior and a key limitation. It is concise and front-loaded, though it omits some important operational 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?

Given the tool has 9 parameters, no output schema, and no annotations, the description is too sparse. It does not explain the relevance of the many non-URL parameters, nor does it describe the response format, error cases, or network behavior, leaving significant gaps for an agent trying to use it correctly.

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

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

Although every parameter has a description, the tool description only explains the url param's purpose ('public URL'). Several params (ref, city, feed, json, path, zone, query) are not tied to the stated purpose of fetching HTTP status/content type, and phrases like 'discarded after the shape check' are unexplained, creating 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 states a specific action and resource: it returns HTTP status and content type for a public URL, and explicitly notes the body is discarded. This is clear, though it does not explicitly distinguish itself from similar 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?

The description gives a minimal usage hint ('for a public URL') and clarifies that the body is not returned, but it does not state when to prefer this tool over siblings such as fetch-status, normalize-url, or browser-url-ok, nor does it explain what the tool does not do beyond discarding the body.

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 transparency duties. It merely says the title is discarded, which is insufficient and conflicting given the unrelated schema properties; no side effects, permissions, or failure behavior are disclosed.

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 only one additional sentence about discarding the title. It is not bloated, though the discard note adds little value.

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 does not explain the return format, success/failure indicators, or error handling, and no output schema is provided. The mismatch between the stated purpose and the input schema leaves the tool's contract incomplete.

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

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

Although all nine parameters have descriptions, none of them corresponds to a Wikipedia title, and the descriptions reference unrelated domains such as Git refs, URLs, cities, JSON, file paths, timezones, and search text. This makes the schema actively misleading rather than informative.

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: checking whether a Wikipedia title exists. However, the input schema contains no title parameter, which undermines the clarity of the actual operation.

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 validators such as file-path-ok, validate-json, or search-query-len. The description only states the operation without context or alternatives.

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