Uuencode length, input discarded

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

No annotations are provided, so the description carries the full burden. It does disclose that 'No browser is launched', which is useful, but it omits any details about side effects, what 'opened' means, or why parameters like 'ref' and 'city' are accepted and discarded. The behavior for non-URL inputs is completely undisclosed.

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

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

The description is a single sentence, so it is concise, but it is under-specified. It provides no structure or hierarchy, and the brevity comes at the cost of essential context. It is not verbose, but it is too short to be useful.

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 annotations, no output schema), the description is grossly inadequate. It fails to explain the full scope of the tool, the purpose of the many parameters, the meaning of 'discarded after the check', or any usage context. An agent cannot correctly call this tool based on the current definition.

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

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

Schema coverage is 100%, so the baseline is 3, but the description adds zero clarification about how parameters relate to the tool's purpose. The presence of many unrelated parameters without explanation in the description makes it impossible for an agent to know which parameters are relevant or what the tool actually does with them. The description fails to compensate for the apparent mismatch between name and schema.

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

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

The description states a specific verb ('Check') and resource ('URL'), but the input schema exposes 9 parameters (ref, city, feed, host, json, path, zone, query) that are unrelated to URL checking, and several are described as 'discarded after the check'. This suggests the tool actually performs a broad shape-check across many input types, yet the description only mentions URLs, making the purpose ambiguous and potentially misleading.

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

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

There is no guidance on when to use this tool versus alternatives like normalize-url, fetch-status, or playwright-url-ok. No mention of exclusions, prerequisites, or selection criteria. The agent is left to infer usage solely from the name and narrow description.

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

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

No annotations are provided, so the description must carry the full behavioral burden. The only behavioral note ('Expression discarded') is confusing because there is no expression parameter in the schema. The description does not disclose what happens to the parameters or any side effects, and it contradicts the schema's parameter semantics.

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

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

The description is concise (two sentences) but under-specified and misleading. It lacks structure and important information, and the sentences do not earn their place because they misdirect the agent rather than clarify.

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 optional parameters), no annotations, and no output schema, the description is severely incomplete. It does not explain the purpose of the parameters, how they relate to the stated arithmetic evaluation, or what the tool returns. An agent cannot reliably invoke this tool based on this definition.

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% (all parameters have descriptions), but the description adds no meaning to the parameters and instead introduces an irrelevant concept (arithmetic expression) not present in the schema. The description fails to clarify which parameter should be used or how the parameters relate to the claimed arithmetic evaluation.

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

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

The description states a clear purpose ('Evaluate a+b style arithmetic'), but the input schema contains nine parameters (ref, url, city, etc.) with no parameter for an arithmetic expression. This disconnection makes the actual purpose ambiguous and fails to distinguish the tool from its siblings, which are mostly URL/shape/status checks.

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 siblings. The description does not mention any conditions, prerequisites, or alternatives, leaving the agent without any 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 behavioral disclosure. It discloses that page content is not stored, which is useful, but it does not mention network access, side effects, or how the other parameters are handled. The schema descriptions for other params say they are discarded, but the tool description itself omits that, leaving the agent uncertain about whether passing those parameters has any effect.

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

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

The description is concise, two sentences with no wasted words. It front-loads the primary purpose and adds a behavioral note. However, the brevity omits critical context about the other parameters, making it under-specified rather than merely 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 parameters, none required, and no output schema, the description is severely incomplete. It does not explain what happens when non-URL parameters are passed, what the output structure looks like, or how the tool relates to citations. The tool name and sibling context suggest a more complex role, but the description fails to cover 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?

Schema coverage is 100%, so every parameter has a description. The tool description adds no new meaning about parameters beyond the schema; it only references the URL parameter indirectly. The baseline of 3 is appropriate since the schema already documents parameters adequately, though the description could have clarified which parameter is primary.

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 host, scheme, and HTTP status for a URL. This distinguishes it from siblings like normalize-url and fetch-status. However, it doesn't mention the other 8 parameters, and the tool name 'citation' suggests a broader purpose that is not reflected. The core action is clear, but the scope is understated.

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, exclusions, or alternative tools. With 28 sibling tools, the lack of routing guidance leaves the agent to infer usage from the vague description.

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

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

With no annotations, the description must carry the full burden of behavioral disclosure. It states 'No identifiers are retained,' which is a useful privacy note, but it fails to mention whether the operation is read-only, what side effects exist, or how the classification is produced. For a tool with nine parameters, this is inadequate.

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

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

The description is only two sentences, front-loaded with the core action and a privacy note. There is no fluff, but its brevity under-specifies the tool. It earns a 4 for being concise without being verbose.

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

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

With nine optional parameters, no output schema, and no annotations, the description fails to explain what classification means, what the output looks like, or how to use the tool correctly. It is highly incomplete for an agent to make an informed call.

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

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

The input schema has 100% coverage with descriptive comments for each parameter, so the schema already provides the meaning. The tool description adds no extra parameter context, aligning with the baseline of 3 for 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 uses the vague verb 'show' and resource 'request' without specifying what kind of classification or how it relates to the parameters. It doesn't differentiate from sibling tools like domain-shape or file-path-ok, and the word 'compatibility' is never explained, making it nearly a tautology.

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

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

There is no guidance on when to use this tool versus alternatives. No context, criteria, or exclusions are provided, leaving an agent without any basis to choose it over the many similar shape/check tools.

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

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

With no annotations, the description must disclose behavior. It states the tool splits hostnames and does not perform WHOIS or ownership lookup, which is a key behavioral limitation. However, it does not describe the output format or how the other eight parameters are handled, leaving significant behavioral ambiguity for those inputs.

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 core action. It contains no filler and is efficient for a simple purpose, though it may be too brief for the tool's actual complexity.

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

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

The tool has 9 parameters, no output schema, and no annotations, so the description must carry substantial context. It only describes a hostname-splitting operation, but the schema includes many unrelated parameters (city, feed, json, path, query, etc.), suggesting the tool may have broader functionality that is entirely undocumented. The description is severely incomplete for an agent to know what the tool actually does with those parameters or what it returns.

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 (100% coverage), so the schema already documents each parameter. The description adds meaning only for the 'host' parameter (splitting into labels) but provides no additional context for the other eight parameters, which seem unrelated to the described purpose.

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

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

The description states a specific action ('Split a hostname into labels') and explicitly clarifies it does not include WHOIS or ownership data, distinguishing it from potential sibling tools that fetch such data. It clearly identifies the resource (hostname) and the operation (splitting).

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 scope limitation ('without WHOIS or ownership data') but does not explicitly state when to use this tool versus alternatives. It does not name sibling tools or provide explicit 'use when' conditions, leaving the agent to infer the appropriate 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 must carry the behavioral burden. It discloses that an HTTP HEAD request is made and only status is returned, but it says nothing about the other parameters (e.g., that they are discarded after checks), rate limits, auth, or how the tool actually processes the input. The behavior for non-URL parameters is completely 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 a single, short sentence, which is concise and front-loaded. However, for a tool with nine parameters and no output schema, it is under-specified and lacks any structure to help an agent understand the tool's real function. Conciseness is present, but it sacrifices necessary detail.

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

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

Given the complexity (9 parameters, no output schema), the description is far from complete. It does not explain how the many parameters map to the stated 'URL' purpose, does not describe return values, and offers no example or further detail. An agent would be confused about what inputs are valid and what the tool actually does.

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 already documents each parameter, giving a baseline of 3. However, the description says 'public URL' while the schema includes parameters like 'city' and 'zone' that are clearly not URLs, actively contradicting the stated purpose. The description adds no clarity about which parameter is the target or how they interact.

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 ('HEAD a public URL'), but the input schema accepts nine unrelated parameters (ref, city, feed, json, zone, etc.), so the stated purpose does not match the actual input space. It does not distinguish this tool from siblings like browser-url-ok or normalize-url, and the mismatch makes the intended 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 alternatives, no conditions or exclusions, and no mention of which parameter is the 'URL'. An agent cannot tell whether this is for checking URL reachability, validating JSON, or something else, and no sibling is referenced.

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 only says 'Path discarded' and gives no indication of what the tool actually does with the URL (e.g., validates format, extracts components) or how it handles the other eight parameters, many of which appear unrelated to Figma. This lack of behavioral detail is a significant gap for a tool with no safety hints.

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), which is efficient, but it is under-specified rather than genuinely concise. It omits essential behavioral information, so the brevity works against clarity.

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

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

With 9 parameters, no output schema, no annotations, and only a two-word explanation of behavior, the description is grossly incomplete. An agent cannot determine what inputs are valid, what the tool returns, or how it differs from similar shape-checking tools, making it nearly impossible to use correctly.

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

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

Schema coverage is 100%, but the parameter descriptions conflict with the stated purpose. For instance, 'city' is described as a 'public weather hint' and 'feed' as an 'RSS or Atom URL', neither of which relates to parsing a Figma URL. The description adds no extra meaning about how these parameters interact with the tool's core function, so it fails to clarify their role.

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 ('Parse') and resource ('Figma file URL'), and clarifies that the path is discarded. However, it does not distinguish this tool from sibling shape-checkers like 'browser-url-ok' or 'normalize-url', and the schema parameters suggest it may handle many input types (city, feed, json, etc.), making the stated purpose ambiguous.

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

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

There is no guidance on when to use this tool versus the many sibling tools that perform similar shape checks (e.g., domain-shape, file-path-ok, github-repo-shape). No conditions or exclusions are mentioned, leaving the agent to guess which tool fits a given input.

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

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

With no annotations, the description must disclose behavior fully. It mentions 'via Open-Meteo' implying a network call, but it doesn't clarify that many parameters are discarded (as their schema descriptions indicate) or that the tool may not actually return coordinates for all inputs. The description contradicts the schema parameter hints, which describe shape checks and discards, creating confusion about what the tool really does.

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

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

The description is a single short sentence, which is concise. However, it is under-specified and front-loads the output without addressing the input, so the structure is not helpful for an agent deciding how to call the tool.

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

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

For a tool with 9 parameters and no output schema, the description is drastically incomplete. It does not explain how to provide the place, what the response format is, any constraints, or what happens when parameters are discarded. The complexity demands far more detail.

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%, but the parameter descriptions are unrelated to latitude/longitude (e.g., 'Git ref name', 'HTTPS URL', 'File path'). The tool description does not bridge this gap, leaving the agent unable to determine which parameter supplies the place. It adds no value beyond the schema and actually misleads by implying a place input that doesn't exist.

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

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

The description states the output (latitude and longitude) and the source (Open-Meteo), so it is not a tautology. However, it fails to specify how the place is identified—no parameter is mentioned as the input for the place, and the 9 parameters in the schema are about URLs, file paths, JSON, etc., not directly a place name. This ambiguity makes it unclear which parameter to use.

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

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

There is no guidance on when to use this tool versus alternatives like weather-hint or timezone. No mention of exclusions, prerequisites, or scenarios. The description is a single sentence with no contextual advice 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 carries the full burden of behavioral disclosure. It only says 'Parse owner and repo', offering no details about return format, side effects, error behavior, or what happens with non-GitHub URLs. The schema hints at discarding parameters, but the description adds no behavioral context.

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

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

The description is a single sentence with no fluff, but it is under-specified for a tool with 9 parameters. It fails to mention the key parameter or invocation details. Being concise is positive, but here it is too terse to be useful, resulting in a low score.

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

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

The tool has 9 parameters, a high schema coverage, but no output schema. The description does not explain how to select the URL, what the output looks like, or whether it validates or normalizes. It is far from complete for an agent to correctly invoke the tool without opening the schema.

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 is documented. The tool description adds no meaning beyond the schema; it does not clarify which parameter is the GitHub URL (though 'url' is obvious). It neither adds value nor misleads, so a baseline of 3 is appropriate.

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 ('Parse') and resource ('owner and repo from a GitHub URL'), clearly distinguishing it from sibling shape tools like 'figma-url-shape' and 'jira-key-shape'. However, it does not specify which parameter holds the GitHub URL, creating ambiguity about how to invoke the tool.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'normalize-url' or 'web-fetch'. It does not mention exclusions, prerequisites, or the fact that it only applies to GitHub URLs (implied but not stated). No when-not conditions 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?

With no annotations, the description must carry the full burden. It mentions 'Titles discarded' as a behavioral note, but it does not disclose whether the tool is read-only, what it returns beyond a count, or any side effects. The sparse text leaves critical behavioral details unaddressed.

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 the main action is front-loaded, which is good. However, it is under-specified: it omits any mention of parameters, usage context, or return details, making it more terse than appropriately 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?

Given the tool has 9 optional parameters, no output schema, and no annotations, the description is far from complete. An agent cannot determine what arguments to pass or what the tool will do with them. The phrase 'Titles discarded' hints at a feed input but is not enough to make the tool usable.

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 each parameter is described in the schema, giving a baseline of 3. However, the tool description does not explain how any of the 9 parameters relate to counting HN front-page stories; it simply ignores them. The description adds no extra meaning beyond the schema's generic parameter descriptions.

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

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

The description clearly states the verb and resource: 'Count current Hacker News front-page stories.' This is specific and distinguishes it from sibling tools like fetch-status or domain-shape. However, it doesn't clarify how the provided parameters relate to the counting, leaving some ambiguity about the tool's exact 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?

No guidance is given on when to use this tool versus alternatives, nor are any exclusions or prerequisites mentioned. The description merely states what it does without helping an agent decide when to invoke it.

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

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

With no annotations, the description bears full responsibility for behavioral disclosure. It only states the action and result, omitting network side effects, parameter handling, error behavior, or the meaning of 'group counts'. It does not even mention the 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 front-loaded sentence with no wasted words, but it is so sparse that it omits essential information. It is concise but at the expense of necessary detail.

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

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

For a tool with 9 parameters, no output schema, and no annotations, the description is grossly incomplete. It fails to explain how to invoke the tool, what each parameter does in relation to the action, what the output format is, or any constraints. This is wholly 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?

Though schema coverage is 100%, the description adds no mapping between any of the 9 parameters and the tool's purpose. The schema descriptions themselves are vague (e.g., 'url' says 'normalize or cite'), leaving an agent unable to know which parameter specifies the robots.txt target.

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 (fetch) and resource (public robots.txt) with an explicit outcome (group counts). This is specific and distinguishes it from generic fetch tools, though it does not name sibling alternatives.

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 siblings like web-fetch or fetch-status. There are no exclusions, prerequisites, or alternative references.

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

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

No annotations are provided, so the description carries the full burden. It only says 'Key discarded', which vaguely implies the input is not retained, but does not disclose output format, error behavior, or side effects. For a validation tool, 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 a single sentence, which is concise but not front-loaded with useful information. It is under-specified for a tool with nine parameters, so the brevity does not earn its place; it omits critical 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 complexity of nine parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain return values, error conditions, or how to use any of the parameters. An agent cannot correctly invoke this tool based on the provided information.

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

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

Schema description coverage is 100%, so the schema already documents each parameter. The tool description adds no extra meaning about parameters; it does not clarify which parameter is the Jira key or how parameters relate. Baseline of 3 is appropriate since schema does the heavy lifting.

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

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

States a specific action ('Check a Jira issue key shape') but the input schema has nine unrelated parameters with no explicit Jira key field. The 'Key discarded' phrase adds confusion rather than clarity about which parameter holds the key. It is not a tautology but is ambiguous about how to invoke.

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 vs alternatives. Does not mention any conditions, prerequisites, or why one would choose this over sibling shape-checking tools like github-repo-shape or domain-shape. Entirely absent.

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 body is discarded, but it does not explain what happens to the other eight parameters or whether any side effects occur. With no annotations, the description fails to convey the tool's full behavior, such as authentication needs or rate limits.

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 brief, which is concise, but it omits critical information. It is under-specified rather than effectively concise, leaving the agent without enough context to 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?

With nine optional parameters and no output schema, the description is grossly inadequate. It does not explain the purpose of most parameters, expected inputs, or return values, making it impossible for an agent to invoke the tool appropriately.

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

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

While the schema has 100% description coverage, the tool description adds no meaning beyond the schema. It does not explain how the parameters relate to the stated purpose, and the mention of only a URL is inconsistent with the broad set of 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 specific verb ('HTTP status') and a resource ('public library docs URL'), but it contradicts the input schema which includes unrelated parameters like city, zone, json, and query. This mismatch makes the actual purpose ambiguous and potentially misleading.

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

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

No guidance is given on when to use this tool versus its many siblings (e.g., fetch-status, browser-url-ok). There is no mention of alternatives or conditions for selection.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions 'Values discarded,' which is a trait, but it does not clarify the tool's safety profile (read-only vs side effects), the effect on other parameters, or whether it modifies any state. It also doesn't explain that the 'json' parameter is the primary input, which is a critical behavioral detail.

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

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

The description is very concise (one sentence) and front-loaded with the primary action. However, it is under-specified for a tool with nine parameters; it lacks any structure or guidance about which parameter is the input. It is not appropriately sized because it omits critical information, making it more under-specified than 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?

Given the complexity (9 parameters, no annotations, no output schema), the description is grossly inadequate. It does not explain which parameter to use, the expected input format, the return value, or any constraints. An agent cannot confidently invoke 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 coverage is 100%, so the baseline is 3, but the description adds no clarity about how parameters relate to the tool's purpose. The schema descriptions themselves are misleading (e.g., 'json' is described as 'to validate' rather than for counting keys). The description does not point to the 'json' parameter or explain the role of the other eight parameters, so it fails to compensate for the schema's ambiguity.

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

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

The description states a specific verb and resource: 'Count keys in a JSON object.' This is clear and distinct from sibling tools like validate-json. However, it does not map to the actual parameters (9 unrelated string fields), leaving ambiguity about which parameter holds the JSON. It also fails to differentiate from siblings by name, though no sibling counts keys, so it is distinct.

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 vs alternatives. There is no mention of conditions, exclusions, or related tools. The description only states what it does, not when it should be chosen, which is a significant gap given the large 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?

The description explicitly states that query and fragment are dropped, which is a clear behavioral trait. With no annotations provided, the description carries the full burden, and it does disclose the core transformation. However, it does not mention error handling or input validation behavior, so it is not fully transparent.

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 that is front-loaded with the action and drops the key behavioral detail (dropping query and fragment) immediately. Every word earns its place, with no wasted text.

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

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

The tool has 9 parameters but the description only references a URL, failing to specify that only 'url' is relevant. There is no output schema, and the description does not mention what happens with the other parameters or how invalid URLs are handled. This is incomplete for an agent to safely invoke the tool, especially given the schema's clutter.

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 100% coverage of parameter descriptions, so the baseline is 3. The tool description adds no parameter-specific meaning beyond what the schema already states. It does not clarify that only the 'url' parameter is used, leaving other parameters unexplained in 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 clearly states the tool returns origin, host, and path for a URL, which is specific and actionable. However, it does not explicitly differentiate from sibling URL-related tools like browser-url-ok or fetch-status, so it loses one point for lack of sibling distinction.

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 simply states the function without mentioning any prerequisites, exclusions, or conditions for selection. This leaves the agent to infer when this tool is appropriate.

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

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only discloses that no browser is launched, but does not explain what 'can be opened' entails (e.g., network request, syntax validation), whether the tool has side effects, or what the return format is. The parameter descriptions hint at discarding data and no disk access, but these are not tied to the tool's core behavior in the main 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 exceptionally concise, comprising two short sentences that front-load the core purpose and a key constraint. It is easy to parse and contains no filler. However, its brevity leaves out crucial context, so it is not maximally 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?

The tool has 9 optional parameters and no output schema, yet the description does not explain how these parameters relate to the tool's function. For example, it accepts 'city', 'json', and 'path', which are unrelated to checking a URL. The description is too thin to guide an agent on what inputs are relevant or what the tool will do with them, making it incomplete for a tool of this complexity.

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

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

Schema description coverage is 100%, with each parameter having a descriptive comment (e.g., 'discarded after the shape check', 'no disk access'). The main description does not add any parameter-specific meaning beyond what the schema already provides, so it meets the baseline for high coverage.

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

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

The description states a clear action: 'Check whether a URL can be opened' with the explicit constraint 'No browser is launched.' This is a specific verb+resource and provides a clear sense of the tool's function. However, it does not distinguish this tool from its sibling 'browser-url-ok', which likely performs a similar check with a browser, so it lacks sibling differentiation.

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 usage context by stating 'No browser is launched,' suggesting this is the tool to use when a browser is not desired. However, it does not explicitly mention alternatives or conditions for using this tool over others, such as 'browser-url-ok' or 'web-fetch'. The guidance is implied rather than explicit.

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

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

The description discloses that the query is discarded, implying no side effect for that parameter. However, it does not clarify what happens to the other eight parameters, whether they are also discarded or ignored, nor does it state the return value (e.g., a number). With no annotations provided, the description carries the full burden, which is unmet for a tool with such a broad schema.

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

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

The description is two short sentences, efficient and front-loaded with the action. It avoids unnecessary detail and is easy to parse. However, the brevity borders on under-specification given the tool's complexity, but for conciseness alone it earns a 4.

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 output schema, and no annotations, yet the description only addresses a single 'query' parameter. It fails to explain the purpose of the other parameters, how they are used (or ignored), or what the output looks like. This is severely incomplete for an agent to safely 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?

Schema coverage is 100% with each parameter having a description, so the schema already documents the parameters. The description adds no additional meaning beyond what the schema provides—it merely restates that the query is discarded after the length check, which is already in the schema. Baseline 3 is appropriate.

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: 'Count characters in a search query' and notes the query is discarded. However, the input schema contains 9 optional parameters, many of which (url, city, feed, host, json, path, zone) are unrelated to a 'search query', so the tool's actual scope is ambiguous. It also does not differentiate from sibling counting tools like uuencode-len or memory-key-count.

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

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

No guidance is provided on when to use this tool versus alternatives. The description only mentions counting characters in a search query, with no mention of exclusions, prerequisites, or contexts where another sibling tool would be more appropriate.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only claims a 'catalog of common HTTP status codes' but does not state what the tool does with the parameters, what it returns, whether it has side effects, or any other behavioral traits. The schema hints at 'shape checks' and 'discarded' data, but the description is silent on all of this, leaving the agent completely in the dark.

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

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

The description is a single short sentence, which is concise in length, but it is severely under-specified. It does not front-load any actionable information about the tool's operation or inputs. This is not conciseness but rather an absence of specification, providing no structure or prioritization of key 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?

With 9 parameters, no required fields, no output schema, and a one-sentence description, the tool is completely inadequate for an agent to understand how to invoke it correctly. There is no explanation of what inputs to provide, what the tool does with them, or what the response will contain. The description is far too thin for the complexity of the schema and the ambiguity of 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?

Schema description coverage is 100%, so the baseline is 3, but the tool description adds zero meaning to the parameters. It does not even acknowledge that parameters exist. The schema descriptions (e.g., 'Git ref name; discarded after the shape check') are the only source of information, yet they do not align with the catalog purpose, making it unclear how to use them. The description fails to bridge the gap between the claimed purpose and the actual inputs.

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 'Short catalog of common HTTP status codes' which names a resource and an action, but it does not connect the 9 input parameters to that catalog. The parameters (ref, url, city, json, path, etc.) appear to be inputs for validation or normalization tasks, yet the description gives no clue how they relate to returning a catalog of status codes. This is vague and fails to distinguish the tool from siblings like fetch-status or normalize-url.

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

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

There is no guidance on when to use this tool versus alternatives. The description does not mention any context, prerequisites, or conditions that would route an agent to this tool over siblings like browser-url-ok or validate-json. No exclusions or alternatives are cited.

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 states that the prompt is discarded, but does not disclose the tool's side effects, whether it is read-only, what the template looks like, or how the parameters are treated. The schema descriptions say each parameter is 'discarded after a check,' but the main description adds little.

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 with no fluff, but it is under-specified to the point of being unhelpful. The front-loaded statement about returning a template is clear, but the rest adds little value. It is concise but lacks necessary content.

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 parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain why the parameters exist, what the three-step thinking template is, or how the tool should be used. An agent would be unable to decide when to 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?

Schema coverage is 100%, so each parameter is described individually (e.g., 'discarded after the shape check'). The tool description itself adds no parameter-specific meaning beyond what the schema already provides. Baseline 3 applies since the schema handles the parameter documentation.

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

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

The description states a verb and resource ('Return a three-step thinking template'), but the resource is vague and the purpose is not differentiated from the many sibling validation tools. The mention of 'Prompt discarded' is confusing given nine input parameters, making the tool's actual function unclear.

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

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

No guidance is given on when to use this tool versus the sibling tools like domain-shape, validate-json, or normalize-url. The description does not mention any conditions, alternatives, or exclusions.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Current UTC timestamp' without explaining how the parameters are handled or that they are discarded. The schema mentions parameters are discarded, but the description itself does not, leaving room for the agent to incorrectly assume parameters affect the output. No side effects or requirements 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 a single concise sentence, front-loaded with the core purpose. It is appropriately short and not verbose. However, it lacks any structural elements that might aid comprehension of the parameter list or context. Still, for pure conciseness, it scores well.

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 but the description gives no explanation of their role or whether they affect the result. There is no output schema to clarify the return value. An agent cannot determine what arguments to pass or whether the tool is appropriate for a given task. The description is incomplete for a tool with this level of complexity.

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

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

Schema coverage is 100% with descriptions for all parameters (e.g., 'Git ref name; discarded after the shape check'), so the baseline is 3. The tool description adds no parameter information, but the schema already documents each parameter's purpose. The description does not need to compensate, but it also adds no extra value 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 specific action and resource: it returns the current UTC timestamp. This is clear and distinct in purpose. However, it does not explicitly differentiate from sibling tools like 'timezone' or 'iana-zones' which also deal with time, so the uniqueness is implied rather than stated.

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 context, exclusions, or alternative tools. The agent is left to infer when a UTC timestamp is needed, and it does not clarify why it takes nine parameters that seem unrelated to time.

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 only says 'input discarded', which is about parameter handling, not about the tool's side effects, return value, or side conditions. It does not disclose what the tool does with the inputs or what output it produces.

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

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

The description is extremely short, but that is under-specification, not conciseness. It provides almost no information and does not front-load any useful content. It is not a well-structured sentence but a fragment.

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

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

For a tool with 9 optional parameters, no output schema, and no annotations, the description is woefully incomplete. An agent cannot determine what the tool does, what it returns, or how to invoke it correctly. The description is entirely inadequate for the tool's complexity.

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

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

Schema coverage is 100%, so the baseline is 3. However, the schema parameter descriptions are unhelpful: each one says the value is 'discarded' after some check, but the tool description does not explain what the check is or how the parameter affects the output. The description adds no meaning beyond the schema and fails to compensate for the schema's lack of operational 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 'Uuencode length, input discarded' is a near-tautology of the tool name and fails to state what the tool actually does. The nine schema parameters (ref, url, city, feed, host, json, path, zone, query) are unrelated to uuencoding, and the description gives no clue about the operation or its result. It does not distinguish this tool from any sibling.

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 zero guidance on when to use this tool versus its 27 siblings. No context, no exclusions, no alternative selection criteria. The description is too vague to infer any appropriate use case.

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

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

With no annotations, the description must fully disclose behavioral traits. It mentions that 'the body is discarded,' which implies no persistence, but it does not state what is returned (likely a boolean), whether there are side effects, or how the other parameters are handled. Moreover, the description refers to a 'body' while the schema has a 'json' parameter, creating ambiguity about what exactly is validated. This lack of clarity is a significant gap for a validation 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 extremely concise: two short sentences with no filler. The key point (validation and disposal) is front-loaded. However, it is so brief that it omits important behavioral and contextual details, though conciseness itself is well-executed.

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

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

Given the tool has 9 parameters, no required fields, no output schema, and no annotations, the description is far too minimal. It does not explain what the tool returns, how the parameters are used, or why there are so many seemingly unrelated parameters. An agent would be unsure how to construct a valid call or interpret the result. The description is inadequate for the complexity of the schema.

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 each parameter has a description in the schema. The tool description adds no extra meaning beyond that. It does not clarify how parameters like ref, url, city, or feed relate to JSON validation, leaving the agent to infer their relevance. Since the schema already documents them, the description's lack of contribution is acceptable but not helpful.

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: 'Check whether a body is valid JSON.' It specifies the validation action and the object being validated. However, it does not differentiate from sibling validators like domain-shape or jira-key-shape, which all check shapes of different input types. The name 'validate-json' hints at the distinction, but the description does not explicitly contrast it with alternatives.

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 other validation tools. There is no mention of alternative tools, prerequisites, or exclusions. The description is a bare statement of purpose without any context about appropriate use cases or when to avoid 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 must carry the full burden of behavioral disclosure. It only states the basic function and mentions Open-Meteo as a source, but does not disclose that only the 'city' parameter is used and others are discarded, nor whether the operation is read-only or has any side effects. This is a significant gap for a tool with many parameters that are effectively ignored.

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

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

The description is a single, direct sentence with no fluff. It front-loads the core purpose and avoids unnecessary detail, making it easy to parse.

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

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

Despite its simplicity, the tool has 9 optional parameters with no required fields, and the description does not explain why unrelated parameters exist or how they interact. There is no output schema, and the description does not mention the return format or any limitations. This is incomplete for an agent to understand the tool's full 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?

Schema description coverage is 100%, so the schema already documents all parameters, including that many are discarded. The description adds no additional meaning beyond mentioning 'city' implicitly. Baseline 3 is appropriate since the schema carries the semantic weight.

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 temperature for a city via Open-Meteo, which is a specific verb-resource pair. It distinguishes from siblings like geo-hint by focusing on weather rather than location. However, it does not explicitly mention that other input parameters are ignored, leaving some ambiguity about the tool's actual 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, nor any exclusions. The description does not reference sibling tools or conditions that would select weather-hint over others. An agent has no explicit context for choosing 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. It mentions 'Title discarded after the call' which hints at statelessness, but this is minimal. It does not disclose expected outcomes (success/failure), error behavior, or any side effects. The description is under-specified for a tool with no annotation safety net.

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

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

The description is a single sentence with no extraneous words. It is concise and front-loaded with the core action. However, it is so brief that it borders on under-specification, though the conciseness itself is good.

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 to invoke the tool, which parameter is essential, what the response looks like, or how results are conveyed. An agent would struggle to 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 coverage is 100%, so the baseline is 3, but the parameter descriptions are generic and disconnected from the tool's stated purpose. For instance, 'ref' (Git ref), 'city' (weather hint), and 'feed' (RSS) have no clear relation to checking a Wikipedia title. The description does not clarify which parameter represents the title or how to use the schema, so it fails to add meaningful semantics.

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

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

The description clearly states the tool's action: 'Check whether a Wikipedia title exists.' It names a specific verb and resource, making the core purpose unambiguous. However, it does not differentiate from sibling validation tools like 'domain-shape' or 'file-path-ok' that follow the same 'shape check' pattern.

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 (e.g., 'domain-shape', 'normalize-url', 'validate-json'). No context is given about typical use cases or alternatives, leaving the agent to infer applicability.

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