ISO country ET

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

With no annotations, the description must disclose behavior itself. It does add useful traits: the tool finds and returns specific artifacts, and it explicitly says task text is discarded. However, it does not disclose side effects, network/cost implications, error behavior, or what happens when multiple optional parameters are supplied.

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

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

Two terse sentences front-load the core purpose and then list the returned artifacts plus the discard behavior. There is no filler or redundant restatement of the tool name.

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 no output schema and no annotations, the description names return artifacts but leaves the invocation model vague: all nine parameters are optional, and it is unclear what combination triggers a Monid match or what failure looks like. It is adequate as a minimal pointer but has clear gaps for safe autonomous use.

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

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

Schema description coverage is 100%, and each parameter has its own description (several noting 'discarded after the shape check'), so the schema already carries the semantic load. The description adds no mapping between the nine parameters and the Monid lookup behavior, so no extra credit beyond the schema 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 names a specific action ('Find') and resource ('public pay-per-call tool gateway (Monid)') and lists concrete outputs (CLI setup, how-it-works, skill file, remote MCP hops). It is distinguishable from sibling utilities because none of them target Monid, though 'Monid' itself is left undefined.

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 the tool is for locating Monid gateway setup and related artifacts, but it gives no explicit conditions, prerequisites, or guidance on when to prefer it over a sibling. No alternatives are named, so the agent must infer usage from context.

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

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

With no annotations provided, the description carries the disclosure burden. It does reveal a key behavioral trait—no browser is launched—but it does not mention whether a network request is made, redirects are followed, or what the response looks like. It is helpful 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 short sentences with no filler. Both sentences earn their place: one states the core purpose, and the other clarifies a crucial behavioral caveat. Information is front-loaded and easy to parse.

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

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

Despite the simple description, the tool has 9 optional parameters, no required parameters, no output schema, and no annotations. The description does not explain how the many unrelated-looking parameters relate to the URL-checking purpose, nor what the tool returns. This leaves too much ambiguity for correct invocation.

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

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

All 9 parameters have descriptions in the input schema, so schema coverage is 100%. The tool description itself adds no parameter-level meaning beyond that, but also does not need to, given the rich schema 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 action ('Check whether a URL can be opened') and the resource (URL), and immediately differentiates the tool from browser-based siblings by saying 'No browser is launched.' This is enough for an agent to distinguish it from tools like playwright-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?

The description implies a lightweight availability check, especially through the 'No browser is launched' caveat, but it never explicitly names alternatives or says when not to use the tool. An agent can infer the usage context, but explicit routing to sibling tools is missing.

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 does disclose that the expression is discarded, but it fails to state whether a result is returned, whether the operation is read-only, or what happens with invalid expressions.

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

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

The description is very short and front-loaded with the core action. There is no filler, though the second sentence is cryptic and could have been used to clarify the parameter mapping.

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, a single sentence is inadequate. The agent is not told what the tool returns, how to select the expression parameter, or when this tool is preferable to sibling tools.

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. The description adds no per-parameter meaning and confusingly references an 'expression' that does not appear anywhere in the schema, leaving the agent unsure 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 names a specific operation, evaluating a+b style arithmetic, which distinguishes calc-eval from the sibling shape-check and URL tools. However, it never connects this operation to any of the 9 input schema fields, so the action is clear but the invocation target is not.

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

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

There is no guidance about when to use this tool versus related validators or check tools. The only implication is from the name and the arithmetic phrase, leaving the agent to infer use cases.

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

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

With no annotations, the description must carry the behavioral disclosure burden, but it only says 'public ISO 3166-1 record,' which weakly implies read-only data access. It does not state output behavior, side effects, whether parameters affect the result, or any operational constraints.

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 filler, which is concise. However, it is under-specified for a tool with nine parameters and no annotations, so the brevity reflects omission rather than well-rounded efficiency.

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

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

The tool has nine optional parameters, no output schema, and no annotations, so a one-sentence description is not enough to support correct invocation. It does not explain what the response looks like, whether arguments are needed, or how the generic parameters interact with the ISO record.

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 even though the tool description adds no parameter information. The individual parameter descriptions provide their own semantics, but the description does not clarify how any of the nine optional parameters relate to the ISO record.

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

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

The description identifies a concrete resource: a public ISO 3166-1 record for ET, which an agent can reasonably interpret as country-code data for Ethiopia. It lacks an explicit action verb and does not distinguish itself from sibling tools, but it is not vague or tautological.

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, nor any mention of prerequisites or exclusions. The phrase 'for ET' weakly implies a use case, but the description does not actually tell an agent when to select cc-et.

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 behavioral burden. It does disclose one useful trait ('Page content is not stored'), but it does not mention whether the tool performs network fetches, whether it requires any auth, what side effects occur, or how the URL is processed. For a tool with no annotation safety signals, 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 two short sentences with no filler. The primary behavior is front-loaded, and the privacy note earns its place as a meaningful behavioral caveat.

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

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

The tool has nine parameters, no output schema, and many closely related siblings, so the burden on the description is high. It covers only the primary URL behavior and ignores the additional schema fields, selection criteria, and edge cases. An agent would likely struggle to know how to call this tool correctly in unfamiliar 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 description coverage is 100%, so the baseline is 3 even though the description adds no parameter-level detail. The tool description only mentions 'a URL,' while the schema has nine parameters, several of which appear unrelated and are described as discarded. The description does not help disambiguate which parameter is primary or how the others relate to the tool's purpose.

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

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

The description states a specific action and resource: 'Return host, scheme, and HTTP status for a URL.' This clearly identifies the core output, making it more informative than a generic tool name. However, it does not explicitly differentiate itself from siblings like fetch-status, normalize-url, or web-fetch, though its output tuple 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 about when to use this tool versus alternatives such as fetch-status, normalize-url, or web-fetch. The description implies it is for URL metadata, but it never states what scenarios favor this tool or what it is not suited for.

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 must carry the full behavioral disclosure burden. It does add a useful privacy claim ('No identifiers are retained') and some parameter descriptions mention discarding data, but the description does not state whether the operation is read-only, whether it makes network calls, or what side effects, if any, occur. The main behavior of 'classification' is opaque.

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

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

The description is short and free of filler, with the non-retention sentence earning its place. However, its brevity comes from under-specification rather than efficient coverage of essential details. The purpose sentence is too generic to be actionable, so conciseness is achieved at the expense 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 required parameters, no output schema, no annotations, and many siblings, yet the description offers no guidance on what to pass, how the classification is returned, or when this tool is appropriate. The fragmented discard notes in the schema are not enough to make the tool usable. This is severely incomplete for an interface this broad.

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%, and each parameter has a functional description (e.g., 'discarded after the shape check', 'no disk access'). The tool-level description adds no additional parameter meaning, but with full schema coverage the 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 'Show how this request is classified' uses a generic verb and an undefined resource. It does not explain what classification means, what categories exist, or how this tool differs from siblings like domain-shape, validate-json, or search-query-len. It is more than a tautology but leaves the core function essentially undefined.

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 any of the 27 sibling tools. There is no mention of input scenarios, prerequisites, or alternatives. An agent has no basis for selecting this tool over the many similarly abstract options.

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 responsibility for behavioral disclosure. It does add a useful negative constraint ('without WHOIS or ownership data'), but it does not state whether the tool is read-only, whether other parameters are processed or ignored, what the output format is, or whether any data is persisted. The schema's repeated 'discarded' notes hint at non-persistence, but the main description omits this entirely.

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 filler words; every word earns its place. It is slightly too terse given the nine-parameter schema and the absence of output schema, so it is not a perfect 5, but structurally it is efficient and scannable.

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

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

With nine parameters, no output schema, and no annotations, the description is not nearly complete enough. An agent cannot determine what the tool returns for a hostname, whether it also validates URLs/JSON/paths/timezones/search text, or how the 'discarded' behavior works operationally. The description covers only a fraction of the tool's apparent surface.

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 even without parameter details in the description. The description does add some meaning to the `host` parameter by explaining the split into labels, which the schema alone does not. However, it contributes nothing to the semantics of the other eight parameters, so it does not rise above 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 specific action ('Split a hostname into labels') and adds a useful boundary ('without WHOIS or ownership data'), so it is not a tautology. However, the input schema exposes nine unrelated parameters (url, json, city, feed, path, zone, query, ref), which the description entirely ignores. This makes the stated purpose narrower than the actual input surface and creates ambiguity about what the tool really does.

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

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

There is no guidance about when to use this tool versus the many sibling shape tools such as github-repo-shape, figma-url-shape, or jira-key-shape. The phrase 'without WHOIS or ownership data' hints at what is excluded, but it does not explain when domain-shape should be selected or what alternatives exist.

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 disclosure. It does reveal the HTTP method (HEAD) and that only status is returned, which is useful, but it does not disclose that inputs are 'discarded after the shape check' (as the schema hints for most parameters), what status values look like, or that the tool accepts non-URL inputs at all. The behavioral model is under-described for a tool with nine possible 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 with zero filler—'HEAD a public URL and return status only' communicates the core operation efficiently. While very concise, it is arguably too terse for a tool whose schema exposes nine heterogeneous inputs, so it is not fully appropriately sized.

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 no annotations, no output schema, nine parameters, and 27 siblings, the description is incomplete. An agent still cannot determine which parameter to pass, what the status response looks like, or how this tool differs from status-catalog and web-fetch for a URL status check. The one-line description does not equip the agent to invoke the tool correctly across its declared input surface.

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 of 3 applies even though the description adds no parameter detail. The description implies the 'url' parameter is the primary input, but it does nothing to clarify how the other eight parameters map to the 'HEAD a public URL' behavior—if anything, the schema's url description ('normalize or cite') conflicts with HEAD semantics, and the description offers no reconciliation.

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

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

The description names a specific verb and resource—'HEAD a public URL'—and limits the result to 'status only,' which reads as a clear liveness/status check. However, the input schema accepts nine unrelated parameter types (city, json, ref, feed, path, zone, query, host) whose descriptions all point to shape-check/discard behavior, so the stated purpose covers only one of the tool's apparent input modes. The mismatch between the narrow description and the wide schema makes the overall purpose ambiguous.

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

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

No guidance is given for when to use fetch-status versus its many siblings such as web-fetch, browser-url-ok, playwright-url-ok, normalize-url, or status-catalog. An agent cannot tell from the description whether this is the lightweight safe probe or the fallback shape checker; the one-liner provides no when/when-not conditions.

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 behavioral burden. It does disclose that the path is discarded, which is a genuine behavioral detail, but it says nothing about validation behavior, return values, or how malformed URLs are handled. This is thin for a no-annotation 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?

Two terse sentences with no filler, and the core purpose is front-loaded. Every sentence earns its place, even though the second sentence could be less ambiguous.

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

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

There is no output schema and no annotations, yet the description does not state what the parse result is or how the nine optional parameters are treated. An agent cannot confidently predict the tool's return value or know which parameters are required versus discarded.

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 already documents all nine parameters with 100% coverage, so the description need not restate them. However, the description adds no clarification about which parameters are actually relevant for this tool versus which are ignored, and 'Path discarded' is ambiguous relative to the 'path' parameter.

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

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

The description names a specific verb ('Parse') and a specific resource ('a Figma file URL'), which clearly distinguishes it from sibling tools like github-repo-shape or jira-key-shape. It stops short of explaining what the parse produces, and 'Path discarded' is ambiguous, so it is not a 5.

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?

It gives a clear context: use this tool when a Figma file URL needs parsing, so an agent can route to it over other URL/shape tools. It does not mention explicit alternatives or when-not conditions, but the resource name is sufficiently clear 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 burden of behavioral disclosure. It does disclose a meaningful non-obvious behavior: no disk access. But it does not explain what 'safe' means, whether the path is normalized, what happens on invalid input, or what the tool returns.

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?

Two short sentences carry distinct information: the tool's purpose and its disk-access guarantee. There is no filler, and the core action is front-loaded. This is appropriately concise for what it does communicate.

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 no output schema, the description does not state what the tool returns (e.g., boolean, status, error). It also does not clarify which of the nine schema parameters are relevant or why unrelated parameters like 'city' and 'feed' are accepted. For a tool with multiple siblings and a broad optional schema, this is 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 coverage is 100%, and each parameter has its own description, including notes like 'discarded after the shape check' and 'File path to check; no disk access.' The tool description itself adds no parameter-level meaning, but the schema already provides enough for the agent to understand the individual parameters. The presence of many unrelated parameters is confusing, though each is individually described.

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: 'Check whether a path looks safe.' The addition 'No disk access' distinguishes it from tools that would touch the filesystem. However, 'safe' is somewhat vague, and the input schema lists many unrelated parameters (url, city, feed, host, json, zone, query), which muddies 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?

The description gives no explicit guidance on when to use this tool versus alternatives. It does not mention any sibling tools, exclusions, or conditions such as 'use this for local paths, not URLs.' The 'No disk access' hint implies a lightweight shape check, but the agent is left 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the external dependency on Open-Meteo and the output (latitude/longitude), but it does not disclose network dependency, error behavior, data retention, or side effects. The schema's 'discarded' notes add some transparency, but the description itself is thin.

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. It is concise and readable, though the brevity comes at the cost of omitting important usage and parameter context.

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, no annotations, and many sibling tools, this description is inadequate for reliable invocation. It does not state which parameter to pass, what the return format looks like, or how to distinguish this tool from weather-hint and other location-related tools.

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 every parameter already has an explanation and the baseline is 3. The tool description adds little parameter-level meaning and does not explicitly map 'a place' to any specific parameter, though 'city' is an obvious candidate from 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 clearly states that the tool returns latitude and longitude for a place and identifies the data source (Open-Meteo). It is not a tautology and is more specific than merely restating the tool name. However, it does not differentiate the tool from siblings like weather-hint that may also relate to places or Open-Meteo.

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

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

There is no guidance about when to use this tool versus alternatives, no prerequisites mentioned, and no mention of which parameter is the relevant 'place' input. An agent must infer usage from the schema alone, which contains nine unrelated-looking optional 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?

With no annotations, the description carries the full burden, but it only says 'Parse'. It does not disclose return format, failure behavior on invalid/non-GitHub URLs, whether the operation is purely local, or that the other schema fields are discarded. The schema's 'discarded' notes are structured data, not description-level disclosure.

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

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

One sentence, front-loaded, and free of filler. It is efficient, though the brevity comes at the cost of critical operational details that the tool needs.

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

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

The tool has no output schema, no annotations, and nine optional parameters, yet the description only states the core purpose. Missing are the return shape, the relevant parameter, error behavior, and how this shape tool differs from its many siblings.

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 the GitHub-specific meaning of the URL, but it does not clarify how to use the nine optional parameters or why unrelated fields like city, feed, json, path, and query are present.

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

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

The description states a specific action ('Parse') and a specific resource ('a GitHub URL') with a clear result ('owner and repo'). It is distinct from the sibling shape tools by naming GitHub, though it does not explicitly contrast with normalize-url or other URL tools.

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

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

Usage is implied: an agent can infer this tool is for extracting owner/repo from GitHub URLs. However, there is no explicit when-to-use guidance, no alternatives, and no exclusion for non-GitHub URLs, which matters given the large sibling tool 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?

No annotations are present, so the description must carry behavior disclosure. It reveals that titles are discarded and the count is current, but it does not explain that the nine parameters appear mostly as validation/discard inputs, whether network access is used, or what happens on failure. 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 two short sentences with no filler, and the primary purpose is front-loaded. It is slightly too sparse to resolve the ambiguity of the nine unrelated parameters, 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 tool has nine parameters, no output schema, and no annotations, yet the description does not say what the tool returns, which parameters are actually honored, or why the others exist. An agent can guess the core action but cannot fully predict invocation 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 baseline applies; each parameter already has its own discard-or-check description. The tool description adds little parameter-level meaning beyond tying the operation to Hacker News front-page counting and discarding titles.

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

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

The description states a specific action and resource: 'Count current Hacker News front-page stories.' This is clear and not a tautology. However, it does not differentiate from siblings or explain how the many parameters relate to the core purpose.

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

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

There is no guidance about when to use this tool versus alternatives like web-fetch or citation. 'Current' implies a point-in-time use case, but no exclusions, prerequisites, or sibling routing are provided.

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

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

There are no annotations, so the description must carry the burden of explaining behavior. It only states that the tool involves common IANA timezone names; it does not disclose whether the tool returns data, requires input, has side effects, or how it behaves when called.

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

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

The description is extremely short and contains no filler, but this is under-specification rather than conciseness. With nine parameters and no output schema, a single noun phrase is insufficient.

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

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

Given the lack of annotations, no output schema, and a nine-parameter input schema, the description is far too incomplete for an agent to invoke the tool correctly. It does not state what the tool returns, whether parameters are needed, or how the tool relates to the sibling time-related tools.

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 provides descriptions for each parameter, those parameters (ref, url, city, feed, host, json, path) are unrelated to IANA timezone names and appear to belong to other tools. The description does not explain whether these parameters are ignored, optional context, or meaningful inputs, so an agent cannot confidently populate 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 identifies the resource ('Common IANA timezone names') and its intended use ('for clock calls'), but it lacks a verb and does not say whether the tool returns a list, validates a zone name, or something else. It also does not distinguish this from sibling tools like timezone or utc-time.

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

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

The phrase 'for clock calls' gives a weak hint about when the tool might be used, but there is no explicit guidance on when to choose this over alternatives such as timezone or utc-time, nor any mention of when not to use it. The agent is left to infer the intended workflow.

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 disclosure burden. It does say the tool performs a network fetch of a public resource and deliberately discards the full content in favor of counts, which is useful. However, it does not disclose error behavior, how the URL is derived, or that most input parameters are said to be discarded.

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

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

The single sentence is front-loaded and free of filler; it states the action and the narrow output scope immediately. It is concise, though arguably too short for a nine-parameter tool with no annotation support.

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

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

The tool has nine parameters, no output schema, no annotations, and a parameter set that does not obviously include a robots.txt URL. A one-sentence description that only says 'fetch a public robots.txt and return group counts' is not enough for an agent to know which arguments to populate, what the returned counts look like, or how failures are signaled.

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% description coverage, giving a baseline of 3, but the description adds no mapping from 'robots.txt' to any parameter, and every schema property description (url, city, feed, host, json, path, ref) points to a different purpose. An agent cannot tell which parameter supplies the robots.txt URL, so the semantics are effectively unresolved.

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

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

The description names a specific verb ('Fetch'), a specific resource ('a public robots.txt'), and an exact output scope ('group counts only'). This also separates it from siblings such as web-fetch or fetch-status, which would return full content or status information.

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 phrase 'return group counts only' implies this tool is for a narrow, count-only use case rather than full robots.txt retrieval or validation, but the description never states when to prefer it over siblings like web-fetch or fetch-status, and it names no 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?

The description discloses that the key is discarded, which is a useful data-handling detail, but there are no annotations to carry the safety burden. It does not mention return values, side effects, validation behavior, or failure modes, leaving most behavioral characteristics 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 very short and front-loaded, but it is under-specified rather than efficiently concise. Two sentences cover only purpose and disposal, leaving critical selection and usage details absent.

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 seven parameters, no annotations, and no output schema, the description is far from complete. An agent cannot confidently infer which input to pass, what result to expect, or how the tool differs from its siblings.

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 describes seven parameters, but none is explicitly identified as the Jira key mentioned in the description. The description adds no mapping between the schema fields and the stated purpose, and effectively creates confusion about which parameter should be used.

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

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

The description states a specific verb and resource ('Check a Jira issue key shape'), which establishes the basic purpose. However, it does not define what a valid key shape is or which schema parameter represents the Jira key, so an agent cannot determine how to apply it to the provided inputs.

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

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

No guidance is given about when to use this tool versus sibling shape-checking tools like github-repo-shape, domain-shape, or wiki-title-ok. The description provides no context, 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.

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

The description discloses that the body is discarded, which is useful, but it does not mention whether the request is read-only, follows redirects, handles errors, or which input parameter matters. With no annotations, the description carries the full behavioral burden and only partially meets it.

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

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

The description is very concise — two sentences, front-loaded with the core purpose. Every sentence earns its place, but it is so brief that it omits important context that could be provided without compromising 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 optional parameters and no output schema, this description is incomplete. It does not specify which parameter to use, what counts as a public library docs URL, what the returned HTTP status looks like, or how this tool differs from similar siblings. An agent would need significant inference 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?

The input schema has full descriptions, so the baseline is 3, but the main description adds no parameter guidance. It also fails to resolve a conflict: the schema's 'url' description says 'normalize or cite,' while the tool description says 'HTTP status,' so the agent cannot confidently identify the correct parameter for this tool's purpose.

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

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

The description states a specific action — returning the HTTP status — for a specific resource type (public library docs URL). It is clear and informative, though it does not explicitly differentiate this tool from siblings like fetch-status or web-fetch, which also deal with HTTP statuses.

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

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

No guidance is given about when to use this tool versus alternatives. The description simply states what the tool does, leaving the agent to infer whether to choose this over fetch-status, browser-url-ok, or web-fetch based on the 'public library docs' qualifier.

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. 'Values discarded' is a useful behavioral disclosure, indicating that only key names matter. However, it does not explain behavior on invalid JSON, nested objects, or which of the nine parameters actually contribute to the count.

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

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

The description is two short sentences with no filler. The core action is front-loaded, and the crucial 'values discarded' detail is included without unnecessary elaboration.

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

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

The tool has nine parameters, none required, no output schema, and no annotations, yet the description only says 'Count keys in a JSON object.' It does not tell the agent which parameter to populate, what the return value looks like, or how the other parameters relate to the operation. A single mention of the json parameter would have made this significantly more complete.

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

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

Schema description coverage is 100%, so the baseline is 3 even without extra parameter detail in the description. The description does not add meaning beyond the schema, but it also does not need to since each parameter already has a description. The unrelated-looking parameters are not clarified, but that is a completeness gap rather than a parameter-semantics failure.

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

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

The description clearly states a specific verb and resource: 'Count keys in a JSON object.' This is immediately understandable and distinct from generic tools. However, it does not explicitly differentiate from siblings like validate-json or domain-shape, so it stops short of full 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?

There is no guidance about when to use this tool versus alternatives, no prerequisites, and no mention of which input parameter is expected. With 25 sibling tools available, the absence of any usage direction leaves 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?

The description discloses an important behavioral trait: query strings and fragments are dropped. However, with no annotations provided, it does not clarify other normalization behaviors such as handling of invalid URLs, default ports, case, or trailing slashes.

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, front-loads the core behavior, and every sentence adds value. There is no filler or redundant 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 nine optional parameters, no annotations, no output schema, and many sibling tools, the two-sentence description is insufficient. It does not explain which parameters are relevant, what the return format looks like, or how to avoid passing unrelated fields.

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

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

Schema coverage is 100%, so the schema already documents each parameter. However, the description does not clarify that `url` is the primary parameter or explain how the many optional fields like `ref`, `city`, `feed`, `json`, and `zone` relate to URL normalization, leaving invocation ambiguous.

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

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

The description uses a specific verb and resource: it returns origin, host, and path for a URL. It clearly explains what the tool does and what output to expect, though it does not explicitly distinguish itself from sibling URL-related tools.

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

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

There is no guidance on when to use this tool versus siblings like browser-url-ok, web-fetch, or figma-url-shape. The description only states what it does, not the context in which an agent should choose it.

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

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

With no annotations, the description carries the burden, and it does add a meaningful behavioral fact: no browser is launched despite the 'playwright' name. However, it does not disclose whether a network request is made, what response or status is returned, or any timeout/error behavior, leaving important traits implicit.

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

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

The description is two short sentences with no filler. The main action is front-loaded, and the crucial no-browser clarification is placed immediately after it, making every word informative.

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

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

The core action is clear and all parameters are fully described in the schema, which helps. However, there is no output schema, no annotations, and no guidance for choosing this tool among several closely related siblings, so the description is adequate but not complete for an agent that needs to know return shape or 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?

Schema description coverage is 100%, so the baseline is 3 even though the description adds no parameter detail. The description speaks only of 'a URL' while the schema exposes nine parameters, but each parameter has its own schema description, so 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 states a concrete action and resource: 'Check whether a URL can be opened.' The clarification 'No browser is launched' adds useful differentiation from the Playwright name and from likely sibling browser-url-ok. It does not name an alternative or define what 'opened' means, so it is clear but not a full differentiator.

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

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

There is no explicit when-to-use guidance or reference to alternatives such as browser-url-ok or fetch-status. 'No browser is launched' implies a lightweight reachability check rather than full browser rendering, but this is only implied, not stated as a routing rule.

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 disclosure burden. It discloses that the query is discarded, which is helpful, but it does not state that the other eight parameters appear to be ignored, what the return value looks like, or how empty/invalid input is handled. For a nine-parameter 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 only two short sentences with no filler, and the primary purpose is front-loaded. It is efficient, though arguably too terse for the unusual parameter list.

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

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

Given no annotations, no output schema, and nine optional parameters, the description is incomplete. It does not specify the return value, clarify that only query is used, or explain the purpose of the unrelated parameters, leaving too much to inference.

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 little beyond the schema: it identifies the relevant input as a search query, but it does not clarify why eight unrelated optional parameters are accepted or which ones actually affect the result.

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

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

The description states a clear action and resource: count characters in a search query. It adds a useful side-effect note with 'Query discarded.' It does not distinguish this tool from sibling counting/checking tools, so it misses the top score.

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 usage is implied: call this when you need the character length of a search query. However, there is no explicit guidance about when to prefer it over alternatives, what input format is expected, or when not to use it.

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

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

The description does not disclose whether the tool performs network requests, returns a static list, or has side effects, and no annotations exist to cover the safety profile. The schema's parameter descriptions mention that some values are 'discarded', which hints at behavior, but the main description itself carries too little 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 short and front-loaded, but it is under-specified rather than efficiently concise. A single sentence saying 'Short catalog of common HTTP status codes' does not earn its place because it omits essential guidance about the confusing input schema and the tool's actual behavior.

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

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

With seven optional input parameters, no annotations, and no output schema, the description is far too incomplete. It does not explain what inputs are expected, how they map to status codes, what the returned catalog looks like, or when an agent should invoke this tool at all.

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 already describes every parameter in individual property descriptions, so schema coverage is high and the baseline is 3. The tool description itself adds no parameter-level meaning and does not explain why 'ref', 'city', 'feed', or 'path' matter for a catalog of HTTP status codes, leaving a semantic mismatch.

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

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

The description identifies the resource (common HTTP status codes) and implies the tool returns a catalog, but it is phrased as a noun phrase rather than a clear action, and it does not explain how the seven heterogeneous input parameters relate to that catalog. It also fails to differentiate the tool from siblings like fetch-status, which likely deals with HTTP statuses more directly.

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

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

There is no guidance about when to use this tool versus alternatives such as fetch-status or other shape/validation tools. The one sentence describes what the tool is, not the conditions under which an agent should select it, and no exclusions or alternative routing are provided.

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

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

The description discloses the key behavioral trait that the incoming prompt is ignored ('Prompt discarded'), signaling stateless, input-independent behavior. With no annotations provided, this is meaningful transparency for a simple template-returning tool, though it does not describe any output formatting details.

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?

Two short sentences, front-loaded with the action and resource, with no filler. The 'Prompt discarded' clause earns its place by preventing an agent from expecting input-dependent behavior.

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

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

For a zero-required-parameter tool with no output schema, the description covers the essential calling contract: the inputs do not matter and the result is a fixed three-step thinking template. It is slightly thin on when to use it and what the three steps are, but the tool is simple enough that an agent can invoke it correctly.

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

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

Schema description coverage is 100%, so each parameter is already documented and the baseline is 3. The description adds the cross-cutting fact that the prompt is discarded, but it says nothing about how individual parameters relate to the returned template; the schema must carry that 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 names a specific verb ('Return') and a concrete resource ('a three-step thinking template'), and adds that the prompt is discarded. This clearly distinguishes think-steps from the sibling URL/shape/validation tools, none of which return a thinking template.

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

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

No guidance is given on when to use this tool versus any sibling. The description only states what it returns; it does not mention use cases, prerequisites, exclusions, or alternatives, leaving the agent to infer applicability from the tool 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?

No annotations exist, so the description carries the behavioral disclosure burden. It discloses the core read-only behavior, but it does not clarify that only the zone parameter is meaningful or that the other parameters are effectively ignored, which is a partial 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 filler or redundant detail. It efficiently communicates the tool's purpose.

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

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

With no annotations, no output schema, and a nine-parameter schema, the terse description is insufficient for confident invocation. It does not specify which parameter to provide, what the return value looks like, or how invalid timezone names are handled.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds little beyond the schema, which already describes the zone parameter as an IANA timezone name.

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 function: get the current time for a named IANA timezone. This is distinct from sibling tools like utc-time or iana-zones, though it does not name them explicitly.

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 the use case: when the agent needs the current time for a named IANA timezone. It provides no explicit guidance on alternatives or when not to use this tool, leaving the boundary with utc-time and iana-zones to inference.

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

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

With no annotations available, the description carries the full burden of behavioral disclosure. It states the expected output but does not reveal output format, side effects, or the fact that the listed parameters are discarded and have no lasting effect; only the parameter descriptions hint at this.

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

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

The description is extremely concise and front-loaded, with no filler or repetition. While it is minimal, it communicates the core function directly and is appropriately sized for a trivial utility.

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 simple time utility, the description is minimally adequate, but it omits the output format and does not explain the unusual set of seven parameters in the main text. The schema compensates for parameter details, yet the lack of output-schema information leaves the return value partially unspecified.

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 seven parameters have detailed descriptions in the input schema, including notes like 'discarded after the shape check' and 'no disk access', so schema coverage is high. The main description adds no parameter context, but it does not conflict with the schema, so the baseline score 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 clearly communicates that the tool returns the current UTC timestamp, which is a specific and identifiable purpose. However, it does not explicitly differentiate itself from the sibling `timezone` tool or mention when UTC is preferred, so it falls short of full 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 provides no guidance on when to use this tool versus alternatives like `timezone`. There is no mention of exclusions, prerequisites, or how this tool differs from related utilities, leaving the agent without explicit decision-making 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?

There are no annotations, so the description carries the disclosure burden. It does add one useful behavioral fact: the body is discarded, implying no persistence or side effects. However, it does not say what happens for invalid JSON (return boolean, throw, or exit with error), nor mention any other side-effect boundaries.

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?

Two short sentences with no filler, front-loading the core action before the discard note. Every word earns its place and no redundant restatement of the tool name appears.

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

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

With no annotations and no output schema, a validator needs at least the result contract and the input mapping to be callable. The description provides neither, and the schema's many seemingly unrelated fields (ref, url, city, feed, host, path) make the intended call shape unclear.

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 already describes every parameter, so the baseline is 3; the description adds no parameter-level meaning. It also fails to map the word 'body' to the json parameter, leaving the relationship between the description and the seven schema properties implicit.

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

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

The description names a specific verb ('Check') and resource (a JSON body), so an agent can tell it validates JSON rather than URL paths or file paths. It does not explicitly name sibling tools, but 'valid JSON' separates it from the other shape/ok validators. The term 'body' is slightly ambiguous, since the schema exposes a 'json' property rather than 'body'.

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

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

No guidance is given about when to prefer this tool over siblings such as domain-shape, file-path-ok, or wiki-title-ok. The only implied usage is from the tool name and first sentence, so an agent has to infer the decision rule itself.

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?

Annotations are absent, so the description carries the full burden of behavioral disclosure. It implies an external read-only lookup via Open-Meteo, but it does not disclose what happens for unknown cities, whether network access is required, what units are returned, or that most of the schema parameters are 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 sentence with no filler and the core action is front-loaded. It is highly concise and every word contributes to understanding the tool's purpose.

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

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

Given that there is no output schema, no annotations, and a 9-parameter input schema with many apparently unrelated parameters, the description is under-specified. It does not clarify the output format, error behavior, or which parameter an agent should actually pass, so an agent would struggle to invoke the tool correctly.

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

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

Schema description coverage is 100%, so the baseline is 3. The tool description adds context by linking Open-Meteo and temperature to the city concept, but it does not explicitly identify `city` as the only relevant parameter or explain how the other eight parameters relate to the tool. The schema's own 'discarded' notes do most of the parameter work.

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

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

The description names a specific service (Open-Meteo) and outcome (current temperature for a city), which clearly distinguishes it from siblings such as geo-hint. It lacks an explicit verb like 'get' or 'retrieve', but the intent is unambiguous.

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

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

No guidance is given on when to prefer this tool over alternatives like geo-hint or timezone, and no prerequisites are stated. The only implied usage is 'when a city temperature is needed,' but no explicit context or exclusions are provided.

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

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

With no annotations provided, the description carries the full burden. It does disclose one important behavior: the body is discarded, so callers cannot expect content back. It also limits usage to public URLs, implying no auth or private access, but it omits network side effects, redirect handling, timeout behavior, and error 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 two short sentences with no filler. The core purpose is front-loaded and the body-discarded note is a valuable, compact behavioral addition.

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

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

For a tool with nine optional parameters, no annotations, and no output schema, this description is too thin. It covers one URL-based use but leaves the large optional parameter surface unexplained, does not describe the return structure beyond two fields, and omits failure modes and relationship to similarly named sibling tools.

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 description adds nothing about parameters and the schema itself is mismatched: url is described as 'HTTPS URL to normalize or cite' rather than fetching status/content type, and the other eight parameters (ref, city, json, path, zone, query, feed, host) have no clear connection to the described tool behavior. This undermines parameter selection.

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

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

The description clearly identifies the resource (a public URL) and the outputs (HTTP status and content type), and explicitly notes the body is discarded. It is distinguishable from normalizing or validating tools like normalize-url or validate-json, though it does not explicitly contrast with the similarly named fetch-status 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?

The phrase 'public URL' gives a scope condition, and 'Body discarded' implies the tool should not be used when the response body is needed. However, it does not name alternatives such as fetch-status, browser-url-ok, or inspect-robots, nor does it state when to prefer one over another.

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

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

The phrase "Title discarded after the call" adds a concrete behavioral guarantee about data retention, and "Check whether...exists" implies a read-only existence test. With no annotations present, the description still does not state behavior on missing titles, network calls, or output 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?

Two short sentences, with the primary action front-loaded and the side-effect note in a second sentence. There is no redundant phrasing or filler.

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

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

For a simple checker with a required title and no output schema, the description gives the minimum needed to understand what the tool does. It leaves gaps: the result format is not stated, "exists" is not scoped to a Wikipedia language edition, and the many optional discarded params could confuse an agent deciding what to pass.

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?

Every schema property already has a description, so schema coverage is high and the description adds little new parameter meaning. The title parameter is already documented in the schema as "Wiki page title to check."

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

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

The description says "Check whether a Wikipedia title exists," which is a specific verb plus resource and makes the tool's core function clear. It does not explicitly distinguish this tool from siblings like citation or web-fetch, so it stops short of a 5.

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

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

There is no guidance about when to use this tool versus a citation, URL-shape, or title-search sibling. The required title parameter implies the obvious use case, but the description gives no explicit context or alternatives.

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