Asia/Tashkent clock

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does state that 'Task text discarded,' which is a key behavioral trait. However, it does not disclose whether the operation is read-only, has side effects, or requires any authentication. The description tells what it returns but not the nature of the operation beyond being a retrieval. This is adequate but not comprehensive.

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 sentences long, front-loaded with the main purpose, and contains no fluff. Each sentence earns its place: the first states what the tool does, the second summarizes the output and the input handling. It is appropriately sized and 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?

The tool has 9 parameters and no output schema. The description lists the contents of the return (CLI setup, how-it-works, skill file, remote MCP hops) but does not specify the format or structure of the response. For an information-retrieval tool, this is a minor gap, but it is complete enough for an agent to know what to expect in general. It could be improved by stating the return format, but it is not critically 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?

Schema description coverage is 100% — every parameter is already explained in the schema, including the fact that most are discarded. The description adds no further meaning to the parameters; it only repeats the general idea that inputs are discarded. The baseline of 3 applies since the schema fully documents parameters and the description provides no additional 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 verb ('Find') and a specific resource ('a public pay-per-call tool gateway (Monid)'), and it lists what is returned (CLI setup, how-it-works, skill file, remote MCP hops). This is distinct from sibling tools like browser-url-ok or calc-eval, which have clearly different purposes. The purpose is unambiguous and easily distinguishable.

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

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

The description gives no guidance on when to use this tool versus alternatives. It does not mention when not to use it, nor does it reference any sibling tools. While the specificity of 'Monid' implies a narrow use case, there is no explicit instruction or exclusion to help an agent decide between this and other utilities.

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 full behavioral burden. It discloses that no browser is launched, but does not mention whether a network request is made, what kind of check (format vs. connectivity) is performed, or what happens to the nine input parameters. Many parameters are described as 'discarded', but that is in the schema, not 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 a single concise sentence, but it is under-specified for a tool with 9 parameters. It is not front-loaded with essential usage details; it simply states the core action. Conciseness is fine, but it sacrifices necessary 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?

This tool has 9 parameters, no output schema, and no annotations, yet the description provides almost no context. It does not explain return values, side effects, error behavior, or how to use the parameters. For a tool with this complexity, the description is severely inadequate.

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

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

Schema description coverage is 100%, so each parameter has a description. The tool description adds nothing about parameters; it does not explain which parameters are required or how they relate to the URL check. Since the schema already documents the parameters, the baseline of 3 applies, and the description does not enhance it.

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

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

The description states the tool checks whether a URL can be opened and explicitly notes no browser is launched, which is a clear verb+resource. It does not explicitly name sibling tools, but the 'no browser' caveat distinguishes it from playwright-url-ok. It is clear but could be more specific about scope.

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

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

There is no guidance on when to use this tool versus alternatives like fetch-status or normalize-url. It does not mention any conditions, prerequisites, or situations where this tool is preferred. The agent is left to infer from the name.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. The only behavior mentioned is that page content is not stored, which is a start, but nothing is said about what happens with the other parameters (e.g., are they validated, ignored, or do they alter behavior?). The tool's side effects and scope are 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 brief (two sentences) and front-loaded with the core action, but it omits essential information about the numerous parameters and the tool's overall behavior. It is concise in length but not in effectiveness, leaving major gaps.

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

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

For a tool with 9 parameters, no output schema, and no annotations, the description is grossly incomplete. It only addresses URL status while ignoring the roles of city, feed, json, path, zone, query, ref, and host. An agent cannot determine what the tool does with these inputs or what the return value looks like beyond the minimal mention.

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 cryptic ('discarded after the shape check', 'discarded after the call') and do not clarify how they relate to the tool's stated purpose. The tool description adds no additional meaning, and the schema descriptions themselves are insufficient for an agent to know what values to pass or what the parameters actually do.

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 host, scheme, HTTP status for a URL), but the tool name 'citation' and the nine heterogeneous parameters (city, feed, json, path, zone, query) suggest a much broader or unrelated purpose. It doesn't explain how these parameters fit the stated purpose, leaving the tool's real function 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 closely related siblings like fetch-status, normalize-url, browser-url-ok, or domain-shape. There is no mention of alternatives, conditions, or exclusions, so an agent has no basis for choosing 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, so the description carries the full burden of behavioral disclosure. It only states 'No identifiers are retained,' which is a privacy note but doesn't describe what the tool does operationally, whether it's read-only, what side effects exist, or what output format to expect. For a tool with such a broad input surface, this is insufficient.

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

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

The description is concise (two short sentences) with no wasted words, but it's under-specified. The lack of structure or elaboration means the conciseness works against usability. It doesn't front-load any actionable information, so the brevity is not an asset here.

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

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

This is a complex tool with 9 optional parameters, no required fields, no output schema, and no annotations. The description provides almost no context: it doesn't explain what classification is performed, how parameters are used, what results look like, or when to call it. An agent would be completely lost trying to invoke this tool correctly.

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

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

Schema description coverage is 100%, but the parameter descriptions themselves are cryptic (e.g., 'discarded after the shape check') and don't tie to the tool's purpose of 'classification.' The description adds no meaning beyond the schema, and the schema's own descriptions don't clarify how the parameters relate to each other or to the output. The tool description fails to provide any unifying semantic context.

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 vague. It identifies an action (show classification) but doesn't specify what resource is being classified, what classification means, or how it differs from the many sibling tools like validate-json or browser-url-ok. It lacks a clear verb-object structure tied to a specific purpose.

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

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

There is no guidance on when to use this tool versus alternatives. The description doesn't mention any prerequisites, exclusions, or context that would help an agent decide to invoke it. With 9 optional parameters and no required ones, it's unclear when this tool is appropriate.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It only mentions splitting hostnames, yet the tool accepts nine heterogeneous parameters (ref, url, city, feed, host, json, path, zone, query) with descriptions indicating they are 'discarded after the shape check.' The description does not explain how these parameters are used, whether the tool is read-only, or what the output format is. This is a significant transparency gap.

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

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

The description is a single, front-loaded sentence with no fluff. It is concise and easy to read, but it omits essential details about the tool's broader functionality. The conciseness is good, but it comes at the cost of 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?

Given the complexity (9 parameters, no output schema, no annotations), the description is far too sparse. It does not explain what the tool returns, how the parameters are used, or when to call it. The mismatch between the description's narrow focus on hostnames and the wide range of accepted inputs leaves the agent uncertain about 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?

Schema description coverage is 100%, so each parameter has its own description, meeting the baseline of 3. However, the tool description adds no context about how the parameters relate to the stated purpose (e.g., why a city or json would be relevant to a domain-shape tool). The schema descriptions themselves are clear but the tool-level description fails to reconcile them.

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 (split) and resource (hostname into labels), and explicitly notes it does not include WHOIS or ownership data, which helps differentiate from other shape tools. However, it does not name sibling tools or clarify the relationship to other shape tools like github-repo-shape, so it's clear but not fully distinguishing.

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

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

The description implies a use case (splitting hostnames) but provides no explicit guidance on when to prefer this tool over alternatives, nor any exclusions or prerequisites. The 'without WHOIS or ownership data' hint suggests a contrast, but it doesn't mention other tools that might also handle hostnames (e.g., normalize-url).

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

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

No annotations are provided, so the description must carry the full burden. It discloses that the path is discarded, which is a minor behavioral note, but it says nothing about side effects, return values, or whether the tool is read-only. For a parse operation, this is insufficient.

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

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

The description is extremely short (two sentences), which is concise, but it is under-specified rather than efficiently trimmed. It lacks essential details, so the brevity works against usefulness. The structure is flat and does not prioritize critical 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?

For a tool with 9 parameters, no output schema, and no annotations, the description is grossly incomplete. It doesn't explain what the tool returns, which parameters are relevant, or how the URL is processed. An agent cannot confidently invoke this tool based on the given 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 fully documents all 9 parameters with descriptions, so the baseline is 3. The description adds no additional meaning beyond 'Path discarded,' which doesn't clarify which parameters are actually used or how they relate. The description fails to compensate for the ambiguity of having many irrelevant-looking parameters.

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

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

The description states a verb ('Parse') and a resource ('Figma file URL'), but 'parse' is ambiguous — it could mean validation, extraction, or normalization. It does not distinguish the tool from siblings like 'normalize-url' or 'domain-shape', which also handle URLs. The added 'Path discarded' hints at behavior but doesn't clarify the tool's core function.

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

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

There is no guidance on when to use this tool versus alternatives. No mention of conditions, prerequisites, or scenarios where this tool is preferred. The agent is left to infer that it's for Figma URLs, but even that is not explicit.

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

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

With no annotations, the description carries the full burden. It discloses only that no disk access occurs, which is a useful safety trait. But it omits what the tool returns (boolean? error messages?), what constitutes a 'safe' path, and how it treats edge cases. For a pure validation tool, this is a significant gap.

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

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

The description is a single, front-loaded sentence with no waste. However, it is too terse and skips essential context. It could be structured with a brief mention of scope or output while staying 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?

For a tool with 9 optional parameters and no output schema, this description is grossly inadequate. It does not explain the tool's behavior beyond a one-line check, does not clarify the role of the extra parameters, and provides no information about return values or error handling. An agent cannot reliably determine how to call this tool correctly.

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

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

Schema coverage is 100% and each parameter has its own description, so the baseline is 3. However, the tool description adds nothing beyond the schema and creates confusion: the name and description center on 'path', yet the schema includes 8 other unrelated fields (ref, url, city, feed, host, json, zone, query). The description fails to explain how these parameters relate to the tool's purpose, leaving an agent uncertain which field to populate.

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

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

The description states a clear verb ('check') and resource ('path') and adds a key safety trait ('No disk access'). However, it does not define what 'safe' means (e.g., path traversal, absolute paths, symlinks) and does not distinguish this tool from sibling validators like browser-url-ok or figma-url-shape. The presence of 8 unrelated parameters in the schema further muddies the purpose.

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

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

There is no guidance on when to use this tool versus alternatives. The description does not mention contexts, exclusions, or related tools. An agent has no idea when to pick file-path-ok over other shape-checking tools in the sibling 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 carries the full burden. It only says 'via Open-Meteo', implying an external call, but nothing about safety, side effects, or the fact that the schema contains many parameters described as 'discarded' that have no relation to geo. The schema descriptions (e.g., 'Git ref name; discarded') suggest behaviors not disclosed in the description, making it misleading.

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, but it is under-specified rather than concise. It omits critical information about parameter usage and behavior, so the brevity is not effective.

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

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

Given 9 parameters (many irrelevant), no output schema, and no annotations, the description is severely incomplete. It does not state which parameter to use, what the output format is, or any constraints. The tool is impossible to use correctly based on this description alone.

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

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

Schema coverage is 100%, so the schema documents each parameter, but the descriptions are contradictory or unrelated to geo (e.g., 'ref' for git, 'url' for HTTPS). The tool description adds no clarification about which parameter is the 'place' (likely 'city'), leaving the agent to guess. It fails to compensate for the schema's confusion.

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

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

The description states a clear verb+resource: returns latitude and longitude for a place via Open-Meteo. However, it does not differentiate from siblings like 'weather-hint' which also likely uses Open-Meteo, and the schema includes many unrelated parameters, muddying the purpose.

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

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

No guidance is provided on when to use this tool versus alternatives. The description does not mention any conditions, exclusions, or alternatives, leaving the agent to infer from the vague purpose.

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

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

No annotations are provided, so the description carries the full burden. It only states the action but does not disclose behavior such as validation rules, error handling, return format, or how irrelevant parameters are treated. The schema descriptions for discarded parameters hint at behavior, but the description itself adds no 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 concise sentence with no wasted words. It is efficiently worded, though it lacks structure such as sections or examples. The conciseness is appropriate, but the structure is minimal.

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

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

With 9 parameters, none required, no output schema, and no annotations, the description is far too minimal. It does not explain what the tool returns, which parameters are relevant, or how to invoke it correctly. The presence of many unrelated parameters increases confusion, and the description fails to resolve 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?

While schema description coverage is 100%, the parameter descriptions are generic and mostly unrelated to the tool's purpose (city, feed, host, json, path, etc.). The description does not clarify which parameter (likely 'url') is primary or how the others should be handled. It adds little meaning beyond the schema.

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

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

The description 'Parse owner and repo from a GitHub URL' clearly states the verb (parse), resource (owner and repo from a GitHub URL), and distinguishes it from sibling tools like domain-shape or figma-url-shape. 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 provides no guidance on when to use this tool versus alternatives. It does not mention any conditions, exclusions, or alternative tools, 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?

With no annotations, the description must disclose behavioral traits. It does not state whether the tool performs a network fetch, is read-only, or what the return value looks like. 'Titles discarded' hints at the output being only a count, but this is not explicit, and the purpose of the parameters is unexplained.

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, using two short sentences with no filler. It front-loads the primary action. However, given the complexity of nine parameters, it may be too terse, but it does not waste words.

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

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

The description is inadequate for a tool with nine parameters and no output schema. It does not explain what inputs are expected, how they relate to the action, or what the agent should expect in return. An agent would be unable to invoke this tool correctly without further 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?

While schema description coverage is 100%, the parameter descriptions like 'discarded after the shape check' suggest these are for shape validation, which conflicts with the tool's stated purpose of counting HN stories. The descriptions do not help an agent understand how to use these parameters for the intended action, adding confusion rather than 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 clear verb and resource: 'Count current Hacker News front-page stories.' This is specific and distinct from siblings. However, the phrase 'Titles discarded' is ambiguous, and the nine unrelated parameters obscure the intended usage, slightly reducing clarity.

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, alternatives, or exclusions. The description simply states the action without any usage context, leaving the agent without direction.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It does not mention that most parameters are discarded or that the tool may perform unrelated checks, nor does it explain what 'group counts' means or what the response looks like. The mismatch between the description and the parameter schema is a transparency gap.

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

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

The description is a single concise sentence with no fluff, but it is under-specified for a tool with nine parameters. It lacks front-loaded detail about the actual scope and behavior, so the conciseness is not well balanced with 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?

Given nine optional parameters, no output schema, and no annotations, the description is severely incomplete. It fails to explain how parameters are used, what the output structure is, or how the tool should be invoked correctly.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no parameter-level meaning beyond the schema; it doesn't clarify how each parameter relates to fetching robots.txt.

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') and resource ('public robots.txt') and a distinct output ('group counts only'). This distinguishes it from sibling fetch/shape tools, though the schema's nine unrelated parameters suggest the description may be too narrow and potentially inaccurate.

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 like web-fetch or fetch-status. There is no mention of exclusions, prerequisites, or conditions that would select 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?

With no annotations, the description carries full behavioral burden. 'Key discarded' suggests a side effect, but it's unclear whether that means the key is not returned, ignored, or something else. The schema descriptions repeat 'discarded' but do not clarify the tool's actual behavior or failure modes.

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

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

The description is extremely short (one sentence), but this is under-specification, not conciseness. It lacks essential information and front-loads nothing useful. The sentence is not self-contained and leaves the agent without actionable guidance.

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, no output schema, and no annotations, the description is grossly incomplete. It does not explain what shape is validated, which parameter is the key, what happens on success/failure, or how to interpret the 'discarded' behavior. The agent cannot reliably call this tool based on the given 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?

Although schema description coverage is 100%, the description does not map any parameter to the Jira key concept. The schema itself is confusing: it lists 9 unrelated parameters (city, feed, host, json, etc.) with descriptions like 'discarded after the shape check', which does not indicate which one is the key. The description adds no value beyond the schema and fails to connect the parameters 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 verb+resource ('Check a Jira issue key shape') but is vague: it doesn't specify what 'shape' means, which input parameter carries the key, or how it differs from sibling tools like 'github-repo-shape' or 'domain-shape'. The phrase 'Key discarded' adds ambiguity rather than clarity.

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. The description does not mention any conditions, prerequisites, or exclusions, leaving the agent to guess based on the name alone.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions 'Body discarded' which gives a small hint, but it does not explain what happens with the other parameters (e.g., city, zone, json), what the output format is, whether any network calls are made beyond the URL check, or any side effects. The description contradicts the parameter breadth, implying only URL handling when the schema suggests a multi-purpose hint tool. This is a significant transparency gap.

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

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

The description is extremely concise: two sentences with no filler. It front-loads the primary purpose ('HTTP status') and includes a note about body handling. However, the brevity contributes to under-specification, so while it is structurally concise, it is not adequately informative. It earns a 4 for efficiency but loses a point for lack of substance.

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

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

This tool has 9 optional parameters, no annotations, and no output schema, yet the description provides only a one-line purpose. It does not explain return values, how to choose which parameter to provide, what happens if multiple are given, or any operational constraints. The description is completely inadequate for an agent to call this tool correctly in any non-trivial scenario.

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

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

Schema description coverage is 100%, so the schema already documents each parameter. The description adds no parameter-specific meaning; it only mentions the URL indirectly. Worse, it could mislead an agent into ignoring the other parameters because it only talks about HTTP status for a URL. The description does not compensate for the fact that many parameters (city, zone, json) are unrelated to HTTP status, and it fails to clarify how they are 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 states a specific action: return HTTP status for a public library docs URL. This is clear and uses a verb+resource structure. However, it does not align with the broad set of 9 unrelated parameters (city, zone, json, etc.), which creates ambiguity about the tool's actual scope and may mislead an agent into thinking only 'url' matters. It also does not differentiate from sibling tools like fetch-status or browser-url-ok.

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

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

There is no guidance on when to use this tool versus alternatives. It does not mention any exclusions, prerequisites, or scenarios where a sibling tool would be preferred. The description is silent on usage context, leaving the agent to guess based solely on the name and parameters.

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

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

No annotations are provided, so the description must carry the full behavioral burden. It discloses one trait: 'Values discarded.' But it does not mention side effects, required permissions, whether it is read-only, or what the return value looks like. The parameter schema hints at 'no disk access' and 'discarded after the check,' but these are not in the description itself. The disclosure is minimal and incomplete for a tool with 9 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 wasted words. It is front-loaded with the core action. While it could benefit from more detail, it does not suffer from verbosity. It earns a solid 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?

For a tool with 9 parameters, no output schema, and no annotations, a one-sentence description is grossly inadequate. It does not explain how to invoke the tool, which parameters are required (none are), what the output format is, or any constraints. The description is essentially useless for an agent attempting to use it correctly, especially given the bizarre parameter list.

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

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

Schema description coverage is 100%, so the baseline is 3. However, the parameter descriptions are confusing and appear copied from unrelated tools (e.g., 'Git ref name; discarded after the shape check,' 'City name for a public weather hint'). They do not explain how each parameter contributes to counting keys in a JSON object. This actively misleads rather than clarifies, so a score below baseline is warranted.

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

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

The description states a clear action: 'Count keys in a JSON object.' It identifies the resource (JSON object) and the operation (count keys). It does not explicitly differentiate from siblings, but no sibling performs key counting. However, the 9 unrelated parameters create ambiguity about which parameter carries the JSON object, slightly diminishing clarity.

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

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

The description gives no guidance on when to use this tool versus alternatives. It does not mention any preconditions, alternatives, or exclusions. With a single sentence and no usage context, an agent has no way to decide when this tool is appropriate over, say, validate-json or search-query-len.

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 no browser is launched, which is useful, but it fails to state what 'can be opened' means, whether network access occurs, what the return value is, or how the many other parameters are treated (though some are described in the schema). This is minimal for a 9-parameter 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 short and front-loaded, but its brevity comes at the cost of informativeness. It is not structured to handle the complexity of 9 parameters, and it omits essential behavioral details. It is concise but under-specified.

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

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

For a tool with 9 parameters, no annotations, and no output schema, the description is severely incomplete. It does not explain how the different input types are used, what the result indicates, or what happens after the check. An agent cannot reliably call this tool correctly based on the description alone.

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

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

Schema description coverage is 100%, so each parameter already has a description. The tool description adds no parameter-level meaning. Baseline is 3, and the description does not compensate for any gaps beyond what the schema provides.

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

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

The description states a clear action (check) and resource (URL), and adds a notable exclusion (no browser launched). However, the schema exposes 9 unrelated parameters (ref, city, feed, json, zone, etc.) that are not mentioned, so the actual scope of 'check' is ambiguous and it does not distinguish itself from siblings like browser-url-ok or normalize-url.

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

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

There is no guidance on when to use this tool versus alternatives. No mention of conditions, exclusions, or comparisons to siblings. An agent receives no help deciding between this and browser-url-ok, fetch-status, or normalize-url.

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

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

The description discloses that the prompt is discarded, and the schema parameter descriptions state each is 'discarded' after a check. This is a useful behavioral trait, but it does not explain the tool's actual effect or side effects, and there are no annotations to supplement.

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 with no waste, but it is under-specified. It front-loads the main purpose but omits critical context about the template and the reason for the many parameters.

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

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

With 9 optional parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain why the parameters exist, what the template contains, or when the tool is appropriate, leaving an agent with little to act on.

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

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

Schema description coverage is 100%, so the schema already documents all 9 parameters. The description adds no new meaning beyond 'Prompt discarded', which is redundant with the parameter descriptions. Baseline 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 states a specific verb and resource: 'Return a three-step thinking template.' This is clear enough to distinguish from siblings, though it lacks context about what the template is for or how it is structured.

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. It does not mention any conditions, prerequisites, or exclusions, and the sibling list offers no hints.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It fails to mention what happens with an invalid zone, the format of the returned time, or that the tool only uses the 'zone' parameter while ignoring the other eight schema parameters. The schema descriptions for other parameters say 'discarded after the shape check,' but the tool description does not clarify that only zone matters, leaving potential confusion.

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

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

The description is a single sentence with zero waste. It is front-loaded with the essential information and does not include any redundant details. This is optimal 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?

The tool has 9 parameters, but the description only addresses one (zone) and does not explain the purpose of the other eight, which are described as discarded or checked. This mismatch is confusing. Additionally, there are several sibling time tools (utc-time, iana-zones, tz-asia-tashkent) and the description does not explain how to choose among them or handle edge cases like invalid zones. The description is insufficient for an agent to use the tool correctly in all contexts.

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

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

Schema coverage is 100% with each parameter described. The description adds no new semantic value beyond what the schema already provides for 'zone' (IANA timezone name). The description's mention of 'named IANA timezone' aligns with the schema but does not enrich it. Baseline 3 is appropriate given the high 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: 'Current time in a named IANA timezone.' It specifies the verb (get current time), resource (time), and scope (named IANA timezone), which distinguishes it from siblings like utc-time (likely UTC-specific) and tz-asia-tashkent (a specific zone). The purpose is unambiguous and well-scoped.

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

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

The description gives no guidance on when to use this tool versus alternatives. It does not mention utc-time, iana-zones, or any other sibling, nor does it state any prerequisites or exclusion criteria. An agent would have to infer usage from the description alone, which is not explicit.

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

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

With no annotations, the description must carry the full behavioral burden. It only states the output (time) and omits any side effects, prerequisites, or parameter handling. Worse, the input schema includes parameters like 'url', 'json', and 'path' with descriptions mentioning 'discarded after the shape check', which directly contradicts the stated time-returning purpose. This mismatch severely undermines 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 concise (one sentence) and front-loaded, but it is under-specified. It earns no extra credit for brevity because it omits critical usage and behavior information. A single sentence that says little more than the tool name is not effective.

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

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

For a tool with 9 parameters, no output schema, and no annotations, this description is woefully incomplete. It does not explain the role of any parameter, the return format, or when to prefer this over siblings. The description is entirely inadequate for an agent to call it correctly.

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

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

Schema description coverage is 100%, so a baseline of 3 might apply. However, the parameter descriptions are inconsistent with the tool's purpose (e.g., 'Git ref name; discarded after the shape check' for a time tool), and the tool description adds no clarification about which parameters affect time retrieval. The description fails to compensate for the confusing schema, so a 2 is warranted.

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

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

The description clearly states the tool returns the current local time in Asia/Tashkent. This is a specific verb+resource that distinguishes it from general time tools like 'timezone' or 'utc-time'. However, it does not explicitly mention that it is specific to this zone or that alternatives should be used for other zones, leaving some ambiguity.

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

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

There is no guidance on when to use this tool versus siblings like 'timezone' or 'iana-zones'. The description gives no context, exclusions, or alternative suggestions, leaving the agent to infer usage.

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

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

The description discloses one behavioral trait: 'The body is discarded.' This implies the tool does not persist or modify input. However, with no annotations provided, the description carries the full burden of behavioral disclosure. It doesn't mention whether the tool is read-only, whether it makes network calls, or what side effects (if any) occur. The 'discarded' note is useful but insufficient for full 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, concise sentence that immediately states the core purpose. It avoids redundancy and is well-structured, with the key information front-loaded. No unnecessary words or phrases are present.

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

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

The description is incomplete for a tool with 9 parameters and no output schema. It doesn't clarify the role of the many seemingly unrelated parameters (city, feed, host, zone, query, etc.) or whether they are ignored. It also doesn't specify the return value or behavior beyond validation. For an agent to call this correctly, it would need to know what the tool returns (e.g., a boolean or an error message) and why those parameters exist, which the description omits.

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 each parameter described in detail. The tool description adds no extra parameter semantics beyond what the schema provides. For example, the 'json' parameter is described as 'JSON text to validate; discarded after the check' in the schema, which is sufficient. The description itself doesn't explain parameter usage, but the schema does, so 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 clearly states the tool's function: 'Check whether a body is valid JSON.' It uses a specific verb and resource, and it's distinct from siblings in that it validates JSON specifically. However, it doesn't explicitly distinguish itself from other validation-like tools (e.g., file-path-ok, domain-shape), relying on the name and simple description.

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. It doesn't mention any conditions, prerequisites, or exclusions. The only hint is the name 'validate-json', which implies JSON validation, but there's no explicit comparison to similar tools or discussion of 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'via Open-Meteo', implying an external network call, but does not state whether the tool is read-only, what side effects exist, rate limits, or what happens to inputs. The schema parameter descriptions mention that many inputs are 'discarded', but that is not in the tool description itself. The description is minimal and does not disclose the tool's behavior beyond the basic function, leaving significant gaps for a tool with network 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, front-loaded sentence that immediately states the primary purpose. It is concise and easy to scan. However, given the schema's complexity (nine parameters), the description may be too brief, omitting essential context. Still, as a concise statement, it is well-structured and 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?

The description is incomplete for a tool with nine parameters and no output schema. It does not explain the purpose of the other eight parameters, which appear to be unrelated to weather. It also does not describe the return format (e.g., temperature units, JSON structure) or any error handling. An agent cannot reliably determine how to invoke the tool correctly or interpret results without additional information. The description fails to cover the tool's full scope and expected behavior.

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

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

The schema covers 100% of parameters with descriptions, so the baseline is 3. The tool description only mentions 'city' and does not add any meaning beyond what the schema already provides for any parameter. For the 'city' parameter, the schema description ('City name for a public weather hint; discarded after the call') is already informative. The tool description adds no extra semantics for any parameter, so it does not exceed the baseline.

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

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

The description states a clear verb and resource: 'Current temperature for a city via Open-Meteo.' This is specific enough to understand the core function. However, the input schema contains nine unrelated parameters (ref, url, feed, host, json, path, zone, query) that are not addressed in the description, creating ambiguity about whether the tool is solely for weather or also serves other purposes. The description does not differentiate from siblings, but the core purpose is 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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention any sibling tools or conditions under which another tool would be more appropriate. With no exclusions or context, an agent has no basis to choose this tool over others, especially given the broad parameter set that overlaps with many sibling tools (e.g., validate-json, domain-shape, etc.).

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

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only says 'Title discarded after the call,' which is irrelevant to the actual parameters and does not clarify side effects, error behavior, or read-only nature. It gives no meaningful 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 sentence, which is concise, but it is under-specified and not front-loaded with the most useful information. It lacks structure and any detail that would help an agent use 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?

For a tool with 9 diverse parameters and no output schema, the description is grossly inadequate. It does not explain how to invoke the tool for any parameter, what the expected behavior is, or how it relates to its 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 the schema covers 100% of parameters, the description adds no value to parameter understanding. It mentions a 'Wikipedia title' that does not exist as a parameter, so it neither clarifies nor compensates for the schema's meaning.

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

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

The description states a specific action (check existence) and resource (Wikipedia title), but no parameter in the schema corresponds to a title, making the purpose ambiguous and disconnected from the tool's actual inputs. It does not distinguish it from sibling shape-check 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 on when to use this tool versus the many sibling shape-check tools (e.g., browser-url-ok, file-path-ok). There is no mention of prerequisites, exclusions, or alternative selection criteria.

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