America/Puerto_Rico clock

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 does disclose that task text is discarded and states the return categories, but it does not clarify whether this makes external calls, whether 'pay-per-call' means actual costs, what the 'shape check' does, or whether auth or side effects are involved. This is insufficient for a tool with financial implications.

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 three short, front-loaded sentences with no filler. The core action appears first, followed by the return artifacts, and then a relevant privacy note. Every sentence earns its place.

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

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

With no output schema, no annotations, and nine seemingly unrelated parameters, the description is not complete enough for an agent to reliably call the tool. It states what is returned but not how to invoke the tool, which parameters to rely on, whether all inputs are optional, or what the response structure looks like.

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 only the general statement that task text is discarded; it does not explain how the nine parameters relate to finding Monid or which ones matter. This adds marginal value beyond the schema but does not clarify the unusual parameter 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 names a specific verb ('Find') and resource ('public pay-per-call tool gateway (Monid)'), and lists what it returns: CLI setup, how-it-works, skill file, and remote MCP hops. It distinguishes itself from the sibling utilities, none of which target Monid. However, the relationship between the generic input parameters and the tool's purpose remains 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?

There is no explicit guidance on when to use this tool versus alternatives, and no exclusion criteria. The phrase 'Find a public pay-per-call tool gateway' implies a use case, but with nine optional parameters and no instruction on which (if any) to provide, an agent receives almost no directional help for invoking the tool correctly.

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

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

No annotations are present, so the description carries the behavioral burden. It usefully discloses that no browser is launched, which is a non-obvious behavioral trait, but it does not clarify what 'can be opened' means in practice, whether a network request is made, or what the result looks like.

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

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

Two short sentences, each earning its place: the first states the action, the second removes the browser assumption. There is no redundancy 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?

With nine optional parameters, no annotations, and no output schema, this one-line description leaves too much unstated. The agent is not told what result the check produces, what network behavior to expect, or how the many seemingly unrelated parameters relate to the URL check.

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 implies that the 'url' parameter is the URL under test, but it does not explain the role of the other eight optional parameters, and the schema's 'url' description ('HTTPS URL to normalize or cite') sits awkwardly with the tool's stated purpose.

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

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

The description states a specific verb ('check') and object ('URL') with a clear success condition ('can be opened'), and the second sentence differentiates it from browser-based siblings by noting no browser is launched. It stops short of a 5 because 'can be opened' remains vague about the exact verification method.

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 choose this tool over the many URL-related siblings such as playwright-url-ok, normalize-url, fetch-status, or web-fetch. 'No browser is launched' hints at one differentiator but does not name alternatives or state when this tool is preferable.

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 the full behavioral burden. It discloses only that the expression is discarded, not whether the call mutates anything, requires auth, or returns a result, leaving the agent without a clear side-effect or outcome picture.

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: the first sentence names the operation, and the second adds a behavioral note about input retention. There is no fluff, though the brevity contributes to under-specification elsewhere.

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 annotations, and no output schema, a two-sentence description is far from complete. It fails to identify the expression input, expected output, or typical invocation, so an agent cannot confidently call the tool.

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

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

Schema description coverage is 100%, which gives a baseline of 3, but the description never maps 'a+b style arithmetic' to any of the nine schema properties; none of ref, url, city, feed, host, json, path, zone, or query is an expression field. The agent cannot tell which parameter to pass as the expression.

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 ('Evaluate') and a specific resource ('a+b style arithmetic'), so an agent can understand what the tool is for. It does not name sibling alternatives, but among the listed shape-checking siblings the arithmetic-evaluation intent is reasonably distinguishable.

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

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

There is no guidance on when to use calc-eval instead of a sibling, no prerequisites, and no exclusions. The phrase 'Expression discarded' hints at behavior, not usage context, so the agent has to guess when this tool is appropriate.

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

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

With no annotations, the description carries the behavioral burden. It does disclose that page content is not stored, which is a useful privacy property, and 'Return host, scheme, and HTTP status' implies a live URL probe. However, it does not mention side effects of the HTTP request, rate limits, or response shape.

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 crisp sentences front-load the primary purpose and add one relevant privacy note. There is no filler or redundancy.

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

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

The tool has nine parameters and no output schema, yet the description only covers the URL use case. It lacks the return format, error behavior, and any rationale for the many accepted parameters, making it incomplete for reliable invocation.

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

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

Schema description coverage is 100%, so the schema already documents all nine parameters. The description adds context only for the URL behavior and does not explain the relationship between the URL and the other accepted-but-discarded parameters beyond what the schema says.

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. It is clear about what the tool does, but it does not differentiate it 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 explicit guidance on when to use this tool versus alternatives, and no alternative tools are named. The phrase 'Page content is not stored' hints that it is not for content retrieval, but this is left 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?

No annotations are provided, so the description carries the full disclosure burden. It adds one useful behavioral fact—'No identifiers are retained'—but says nothing about side effects, return values, external calls, or persistence. For a classification tool with nine inputs and no output schema, this is far from 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 short and front-loaded, and the privacy sentence is substantive. However, the brevity crosses into under-specification for a tool with nine optional parameters and many siblings. It is concise but omits essential 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?

There is no output schema, no annotations, nine parameters, and a large set of similar sibling tools to disambiguate. The two sentences do not explain how to construct a valid call, what result to expect, or when this tool should be selected. This is well below the minimum viable context for an agent to use it correctly.

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

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

Schema coverage is 100%, so the structured schema already documents each parameter's meaning. The description adds no parameter-level context, such as how many fields should be supplied or how the values map to classification categories. This meets the baseline for full schema coverage but does not exceed it.

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

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

The description gives a verb and a vague object—'Show how this request is classified'—but never defines what classification means, what categories are returned, or what 'request' refers to. The name 'compatibility' hints at intent, but the description does not state the tool's actual output or scope. It does not distinguish this tool from the many sibling shape/check tools.

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

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

There is no guidance about when to use this tool instead of a sibling such as normalize-url, validate-json, or domain-shape. The privacy statement implies it may be safe for sensitive data, but it does not state selection conditions, prerequisites, or exclusions. An agent has no way to choose this tool confidently.

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 discloses one meaningful limitation ('without WHOIS or ownership data') and the core operation, but it does not mention that the other eight schema parameters are effectively ignored or describe return/error behavior. Partial but not misleading.

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

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

The description is a single efficient sentence with the action and limitation front-loaded and no filler. It could be considered slightly under-specified for the nine-parameter schema, but it is well-structured for what it covers.

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

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

Given nine optional parameters, no output schema, and no annotations, this one-sentence description is incomplete. An agent cannot tell why url, city, feed, json, path, zone, and query appear in the schema, which parameter the tool actually uses, or what the return value looks like. The schema mismatch creates real selection risk.

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 only implicitly maps 'hostname' to the host parameter and adds no format or usage detail beyond what the schema provides. 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 verb and resource: 'Split a hostname into labels', and adds a distinguishing constraint, 'without WHOIS or ownership data'. This clearly differentiates it from generic fetch/status and URL tools among the siblings.

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 explicit when-to-use or when-not-to-use guidance is provided. The only hint is the exclusion of WHOIS/ownership data, which tells the agent what the tool does not do but does not name alternatives or selection 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?

With no annotations, the description must carry the behavioral burden. It does disclose the HTTP method (HEAD) and that only status is returned, which is useful. But it does not state how the many optional parameters are treated, whether redirects are followed, what error behavior looks like, or what the returned status format is, leaving significant behavioral ambiguity.

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

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

The description is a single front-loaded sentence with no wasted words, which is good. But for a tool with nine parameters and no output schema, it is under-specified rather than elegantly concise; a clarifying second sentence about parameter selection would improve it.

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

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

The definition states the core operation and return kind, so it is not useless. Yet with nine optional parameters, no output schema, no annotations, and a large sibling family, it does not explain how to choose inputs, what happens when no arguments are provided, or what the returned status values mean. That is insufficient for reliable 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?

Input schema descriptions cover 100% of parameters, so the baseline is 3, but the description adds no guidance on which parameter to use and even conflicts with the schema: `url` is described as 'HTTPS URL to normalize or cite' rather than as the target of a HEAD request. The other params like city, json, zone, and query are left disconnected from the tool's stated purpose.

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

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

The description states a specific operation: HEAD a public URL and return only the status. This is a clear verb+resource and distinguishes it from content-fetching tools like web-fetch. However, the 9-parameter schema with unrelated fields like city, json, and zone somewhat muddies the stated single-purpose behavior.

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' and 'status only' implies when to use this tool: lightweight availability/status checks rather than content retrieval. It never names alternatives like web-fetch, browser-url-ok, or playwright-url-ok, nor does it give exclusion criteria, so the guidance remains implicit 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?

With no annotations, the description carries the full burden of disclosure. It reveals one behavioral trait, 'Path discarded,' but doesn't say whether the call performs network access, returns a validation result, or ignores the other eight schema properties. This is thin coverage for a tool with no annotation safety information.

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 main action, and no wasted words. Each sentence contributes: the first defines the operation, the second states a key limitation.

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

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

Despite a 9-parameter schema and no output schema, the description covers only the core action and one limitation. An agent is left uncertain about return values, whether side effects occur, and whether non-URL parameters matter. More context is needed.

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

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

Schema description coverage is 100%, establishing the baseline of 3. The description adds a small amount of context by identifying the Figma file URL as the focal input, but it doesn't meaningfully explain the roles of the remaining parameters beyond what the schema already says.

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: 'Parse a Figma file URL.' This differentiates it from siblings like normalize-url or browser-url-ok. However, it doesn't specify what the parse produces (validity flag, file key, etc.), 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?

The intended use—when you have a Figma file URL and need to parse it—is implied by the action and resource. There is no explicit when-not guidance or comparison to alternatives such as normalize-url or browser-url-ok, so usage guidance is left 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, the description carries the behavioral-disclosure burden, and 'No disk access' is a useful non-destructive guarantee. However, it does not disclose what counts as 'safe', what the return value is, or how unrelated-looking parameters like 'city' or 'feed' are handled.

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, each earning its place: the first states the action and the second states a critical behavioral guarantee. The description is appropriately sized and front-loaded.

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

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

For a tool with 9 parameters, no output schema, and no annotations, a two-sentence description is insufficient. It omits return value shape, the criteria for 'safe', which parameters are actually relevant, and how to interpret the unrelated-looking inputs.

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

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

Schema description coverage is 100%, so the baseline is 3; the description adds no parameter-level meaning beyond the schema. It does not even identify 'path' as the primary parameter, which is notable given the many sibling 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?

States a clear verb ('Check'), a specific object ('whether a path looks safe'), and adds a key constraint ('No disk access'), so an agent knows it is a read-only shape/safety check rather than a filesystem operation. However, 'looks safe' is somewhat vague, and the description does not differentiate it from sibling tools like browser-url-ok or domain-shape beyond the word 'path'.

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 which of the nine input parameters is the intended one. The description implies use for path-safety checks but offers no exclusions or routing 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 behavioral burden. It discloses that Open-Meteo is used, implying a network call, but it does not explain failure behavior, response format, rate limits, or that most of the 9 schema parameters are irrelevant and discarded.

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

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

The description is a single, front-loaded sentence with no wasted words. It is concise, but it omits usage and behavioral details that would make it genuinely helpful.

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

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

For a tool with 9 optional parameters, no required fields, no output schema, and no annotations, this one-line description is not complete enough. An agent cannot reliably tell which parameter to pass, what the output structure will be, or how failures are surfaced.

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. The description adds no parameter-level meaning beyond the schema; while 'place' hints at the city parameter, it does not clarify which of the 9 optional parameters actually drive the lookup or how they should be formatted.

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 result: returning latitude and longitude for a place via the Open-Meteo service. This distinguishes it from weather-hint or timezone siblings by domain, though it does not explicitly name the input parameter such as 'city' or describe the return shape.

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 geo-hint versus weather-hint or other sibling tools, nor any exclusions or prerequisites. The agent must infer from the tool name and sibling list that this is a geocoding lookup.

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 on its own, but it only says 'parse' and does not describe the return shape, validation behavior, error handling, or whether any network activity occurs. The schema hints at discarding values after checks, yet the description does not clarify what the tool actually returns or ignores.

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; every word contributes to stating the tool's purpose. This is appropriately concise, although the brevity does not compensate for the missing usage and behavior 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?

The definition is incomplete for reliable invocation: there is no output schema, so the return format is unknown; no required parameters and nine optional fields create ambiguity; and the description does not explain the apparent mismatch with the unrelated schema properties. An agent could guess { url: '...' } but would not know the expected response or error 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?

All nine parameters are documented in the schema, giving a baseline of 3. The description adds GitHub-specific meaning to the url field, which the schema's generic 'HTTPS URL to normalize or cite' lacks, but it never explains that only url is relevant or why the other eight optional parameters 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 target resource ('owner and repo from a GitHub URL'), which clearly distinguishes it from sibling tools like normalize-url or figma-url-shape. It loses the top score because the input schema is a generic nine-property object that never mentions GitHub and includes unrelated fields such as city, zone, and query, so the description and schema do not fully agree on 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 usage guidance is provided: the description does not say when to prefer this tool over normalize-url, browser-url-ok, domain-shape, or any other sibling, nor does it state exclusions. The only implied guidance is the purpose statement itself, which is not enough 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 adds 'Titles discarded,' which hints that the tool returns only a count and not story titles. However, with no annotations and no output schema, the description does not disclose whether parameters are ignored, what the return type is, or any other behavioral constraints, leaving 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 very short and front-loaded, with no obvious filler. The fragment 'Titles discarded' is terse and could be clearer, but it does convey a meaningful behavior without excessive wording.

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 too sparse to fully guide invocation. An agent cannot tell which parameters matter, whether all are ignored, or what the exact return value looks like. The 'Titles discarded' note adds some clarity but does not resolve the ambiguity.

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

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

Schema descriptions cover 100% of the parameters, so the baseline is 3. The tool description adds no parameter-level guidance and does not explain why the count tool has parameters like url, city, json, or path, leaving the relationship between parameters and tool behavior unclear.

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

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

The description uses a specific verb ('Count') and a specific resource ('current Hacker News front-page stories'), clearly identifying what the tool does. It does not explicitly distinguish from sibling tools, but the resource is unique enough among the listed siblings to infer its role.

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

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

The purpose statement implies when to use the tool: when a count of current Hacker News front-page stories is needed. However, there is no explicit guidance about when not to use it, what inputs to supply, or which sibling tools might be more appropriate for related tasks.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states that these are common timezone names for clock calls, without revealing whether this is a static lookup, whether any input is consumed, what output format is returned, or whether any side effects exist.

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

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

The description is a single, concise sentence with no filler or repetition. It is front-loaded and easy to parse, though the brevity sacrifices useful 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?

There is no output schema and no annotations, so the description must explain return values and usage. It only offers a vague phrase and does not clarify the role of the nine optional parameters, any of which could confuse an agent trying to call the tool correctly.

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

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

The input schema already supplies descriptions for all nine parameters, so schema coverage is 100% and the baseline is 3. The tool description does not add any parameter-level meaning, and the parameters seem oddly unrelated to timezone names, but the schema itself provides the required 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 names the resource ('IANA timezone names') and hints at the audience ('for clock calls'), but it lacks an explicit verb such as 'returns' or 'lists'. This is more than a bare tautology, but it still does not clearly distinguish iana-zones 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?

There is no guidance on when to use this tool versus alternatives such as timezone, utc-time, or weather-hint. No exclusions or alternative conditions are provided, so the agent must infer usage from the name and sparse 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 carries the full burden of behavioral disclosure. It only says the tool fetches and returns group counts; it does not mention network failure modes, redirects, error handling, rate limits, or what 'group counts' means. 'Public' weakly implies no auth, but that 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 front-loaded sentence with no filler or repetition. It conveys the core function and output scope efficiently.

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 nine optional parameters, no output schema, and no annotations, the one-sentence description is not enough to support reliable invocation. It lacks parameter mapping, return-value shape, and any edge-case behavior, leaving too much for the agent to infer.

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

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

Although schema description coverage is 100%, the tool description never explains which parameter identifies the robots.txt URL or host. The schema's parameter descriptions are mostly unrelated to robots.txt, mentioning weather hints, JSON validation, timezones, and git refs, so an agent cannot confidently map the stated purpose to the correct input.

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

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

The description clearly states a specific action and resource: 'Fetch a public robots.txt and return group counts only.' This distinguishes it from siblings like web-fetch or fetch-status that would return fuller content or status, even though no sibling is named. The main weakness is that the associated input schema contains many unrelated parameters, which muddies the otherwise clear purpose.

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

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

There is no guidance on when to use this tool versus alternatives such as fetch-status, web-fetch, or domain-shape. The description implies a use case (need group counts from a public robots.txt) but provides no exclusions, prerequisites, or sibling routing.

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 present, the description carries the full burden of behavioral disclosure. It does add one meaningful trait: 'Key discarded' indicates the input is not retained, which is useful privacy context. However, it does not describe return values, behavior on invalid shapes, or side effects, leaving significant gaps.

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

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

The description is concise and front-loaded: 'Check a Jira issue key shape' comes first, with the discarded-input note second. There is no filler or repetition. The only drawback is that extreme brevity contributes to the params ambiguity, but the text itself is efficiently structured.

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

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

The definition is incomplete for practical invocation. There is no output schema, no explanation of the expected input mapping, and the schema directly conflicts with the stated purpose by omitting any Jira key parameter. An agent relying solely on this definition would be confused about how to call the tool, despite the clear one-line 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?

The tool description adds no parameter information at all. Although the input schema provides descriptions for each property, none appear to correspond to a Jira issue key—properties like city, feed, host, and json are unrelated. The description thus fails to bridge the stated purpose to any schema parameter, leaving an agent unable to determine what to pass.

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

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

The description states a specific verb and resource: 'Check a Jira issue key shape.' This clearly identifies the tool's function and distinguishes it from sibling shape tools (e.g., github-repo-shape, domain-shape) by naming Jira. It lacks an explicit scope statement but is not tautological or vague.

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

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, exclusion criteria, or a preferred sibling for non-Jira shapes. An agent could infer that it is for Jira key validation, but there is no explicit routing or context.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It does reveal that the body is discarded, which is useful, but it omits other behavioral details such as redirect handling, status-code semantics, error behavior, or what happens for inputs not matching the library-docs theme.

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 zero filler. The main result is front-loaded ('HTTP status') and the important constraint ('Body discarded') follows immediately, 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?

The tool has nine optional parameters, no output schema, and no annotations, yet the description only addresses a library-docs URL use case. It does not explain which parameter to provide, what happens with other supported inputs, or what the output format is, so an agent cannot reliably invoke it across its documented scope.

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 every parameter, which justifies the baseline score. The description adds no additional parameter meaning, and its 'public library docs URL' framing actually conflicts with the schema's broad mix of weather, JSON, feed, query, and host 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 the core outcome clearly: return the HTTP status for a public library docs URL, and notes that the body is discarded. However, it lacks an explicit verb like 'returns' or 'checks', and does not compare against similar sibling tools such as fetch-status or browser-url-ok, so differentiation is only partial.

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 rather than alternatives like fetch-status, web-fetch, or normalize-url. The description also does not clarify which of the nine parameters is relevant for the stated library-docs purpose, leaving invocation context 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, the description carries the full burden of behavioral disclosure. It discloses that values are ignored/discarded, but it does not say whether nested keys are counted, how invalid or non-object input is handled, or what the return value looks like. This is a meaningful gap for a tool with no safety annotations.

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 core action is front-loaded. Every phrase earns its place.

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 and many optional parameters, so the description needs to explain how input maps to the JSON object and what the result is. It only states the action, leaving critical invocation details unresolved.

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% parameter description coverage, so the baseline is 3, but the description does not identify which parameter should contain the JSON object. The 'json' parameter is described as 'JSON text to validate', not as the object to count, making it ambiguous how to invoke the tool.

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

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

The description states a clear action and resource: 'Count keys in a JSON object.' It is not a tautology and is distinct in intent from siblings like validate-json, though it does not explicitly name any sibling or explain which input carries the object.

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?

'Values discarded' implies the tool is for cases where only key count matters and values can be ignored, but there is no explicit statement of when to use this tool versus validate-json or other shape-check siblings. Usage context is left mostly 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, the description reveals one meaningful behavior beyond the schema: query and fragment are dropped. However, it is silent on how invalid URLs are handled, whether the many other accepted parameters are simply ignored, and what the exact return shape is.

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 core behavior stated first and no filler. Every word contributes.

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 a 9-parameter schema, no annotations, and no output schema, the description does not explain which parameter is the primary input, why the other parameters are discarded, or what the return value looks like. It is too sparse for the complexity indicated by the context signals.

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 every parameter; the description adds no per-parameter meaning beyond clarifying that the URL's query and fragment are removed. Baseline 3 is appropriate because the description does not need to compensate for missing schema docs.

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 (Return) and resource (origin, host, and path for a URL), and clarifies that query and fragment are dropped. This is distinct from sibling URL tools that validate or fetch, so an agent can tell it apart without inspecting schemas.

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 context is only implied: use this when you need URL components and not query/fragment. It does not state when to prefer it over siblings like browser-url-ok or web-fetch, nor does it list 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?

With no annotations, the description must carry behavioral weight. It discloses that no browser is launched, which is a useful behavioral trait, but it does not state whether a network request occurs, how openability is determined, whether there are side effects, or what the return value is.

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; the core action is front-loaded and the relevant caveat immediately follows. It is appropriately compact for a check-like 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?

Given 9 optional parameters, no annotations, and no output schema, this two-sentence description is too thin. It does not explain which parameter(s) to supply, what result an agent can expect, how the check is performed, or how this tool relates to browser-url-ok/web-fetch.

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 nine parameters. The description adds no parameter-level meaning beyond saying 'URL', which is an acceptable baseline but does not help disambiguate the many optional 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 a concrete action and resource: check whether a URL can be opened, and adds a meaningful qualifier ('No browser is launched'). This is more specific than a tautology and distinguishes it from a browser-based sibling. However, 'can be opened' is left somewhat vague and the 9-parameter schema implies more than the single URL focus.

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 browser is launched' implies a lightweight check and hints at when not to use a full browser tool, but it never names an alternative or states explicit conditions for choosing this tool over browser-url-ok or web-fetch. There are no prerequisites 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 adds one useful behavioral note: 'Query discarded,' indicating the input is not retained. With no annotations at all, however, it does not disclose what is returned, how empty or multi-field inputs are handled, or how characters are counted. This is better than nothing but still leaves important behavioral details unstated.

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, both of which earn their place: the first says what the tool does, and the second states the side-effect. It is front-loaded with the core action and contains no filler or redundancy.

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

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

With no output schema and no annotations, the description should specify what the tool returns and which parameter actually drives the operation. It does neither explicitly, and with nine optional parameters the ambiguity is meaningful. The description is adequate for a trivial utility but not complete enough for reliable agent invocation.

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

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

The schema description coverage is 100%, so all nine parameters are already described in structured form. The description does not add meaning beyond the schema's own description of 'query' as 'Search text; discarded after the length check.' The word 'query' ties the description to one parameter, but it does not explain the other eight accepted parameters or clarify whether they are ignored.

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 characters in a search query.' This clearly describes what the tool does and distinguishes it from more shape- or status-oriented sibling tools. It does not explicitly explain that the relevant input is the 'query' parameter, but the tool name and the 'Query discarded' phrase make that link reasonably clear.

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

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

There is no guidance about when to use this tool versus alternatives such as memory-key-count or other validation/checking tools. The description gives no context, exclusions, or conditions under which an agent should prefer this tool, leaving usage entirely 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 provided, the description carries the full burden of behavioral disclosure, and it discloses nothing. It does not state whether the tool returns a list, performs lookups, validates inputs, or has side effects; the schema's 'discarded after the check' notes are the only behavioral hints, and they are not in the description.

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

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

The description is extremely brief, but brevity here is under-specification rather than efficient conciseness. It lacks the structural elements needed to orient an agent, such as a clear action, input-output relationship, or usage 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?

For a tool with seven heterogeneous parameters and no output schema, the description is grossly incomplete. It does not explain the purpose of the parameters, what the tool returns, or how it fits into the broader toolset, leaving the agent without enough information to 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?

The schema already provides descriptions for all seven parameters, so schema coverage is effectively 100%, which sets a baseline of 3. The description itself adds no parameter-level meaning, but it does not need to because the schema already documents each 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 'Short catalog of common HTTP status codes' is little more than a restatement of the tool name and lacks a verb or explicit action. It does not clarify how the many input parameters (ref, url, city, feed, json, path) relate to a status-code catalog, and it offers no basis for distinguishing this tool from siblings like fetch-status or web-fetch.

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

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

The description provides no guidance on when to use this tool versus alternatives. There is no mention of suitable inputs, expected scenarios, or exclusions, leaving the agent to guess how 'status-catalog' relates to the sibling 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?

Annotations are absent, so the description carries the burden. It does disclose that the prompt is discarded, a useful behavioral detail, but it ignores that most schema parameters are also discarded and the template's return behavior is unspecified.

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

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

The text is genuinely short and the key phrase 'Prompt discarded' is front-loaded, but the extreme brevity under-specifies a tool with many parameters, so it is concise at the cost of completeness.

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

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

With no annotations, no output schema, and a schema containing many parameters, the description must explain runtime behavior and invocation context. It fails to say what the template looks like, which parameters are actually used, or what the response contains.

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 gives each parameter a description, so coverage is high. The description adds no new parameter meaning beyond repeating that the prompt is discarded, keeping it at the baseline.

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

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

The description states a specific purpose: return a three-step thinking template. It is clear enough as a standalone action, though it doesn't differentiate from siblings or clarify what the template contains.

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 sibling tools, and no mention of expected input conditions. 'Prompt discarded' hints at behavior, not usage 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 burden of behavioral disclosure. It discloses the core behavior (returning current time for an IANA zone) but says nothing about side effects, failure modes for invalid zones, or return formatting; this is acceptable for a simple read-only lookup but not rich.

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?

A single, front-loaded sentence carries the essential purpose without filler. It is compact and easy to scan, though it could have added a pointer to the relevant parameter without becoming 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?

For a simple time lookup with a well-described zone parameter and no output schema, the description is mostly complete. It lacks a return format and does not clarify that only the zone parameter is relevant given the large unrelated input schema, leaving a small but real gap.

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 the zone parameter with an example (America/New_York). The description reinforces the IANA zone concept but adds no parameter detail beyond what the schema provides, which meets the baseline.

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

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

The description states the tool returns the current time for a named IANA timezone, which is a specific resource and result. It distinguishes itself from nearby siblings like iana-zones (list zones) and utc-time (UTC time), though it does not name those alternatives 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 intended use is implied: call this when the agent needs the current time in a specific IANA timezone. There is no explicit when-not-to-use guidance or mention of alternative tools, so it stops at implication rather than strong routing.

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 disclosure burden. 'Current UTC timestamp' only states the output; it does not mention that the many optional parameters are discarded, whether the operation is side-effect-free, or what timestamp format is returned.

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

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

The description is very short and front-loaded, with no wasted words. However, it is under-specified given the tool's unusual nine-parameter schema and the presence of related sibling tools, making it too sparse to be fully effective.

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

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

Given no annotations, no output schema, and nine parameters, the description is incomplete. It does not explain the role of the parameters, the discard behavior hinted at in the schema, or the relationship to sibling time-related tools, leaving an agent uncertain about correct invocation.

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

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

Schema description coverage is 100%, so the baseline is 3 even without additional parameter details in the description. Each parameter already has its own schema description, though the description does not clarify why a UTC timestamp tool accepts nine unrelated optional 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 clearly states the tool returns the current UTC time as a timestamp. It is a concise statement of the tool's core function, though it does not explicitly distinguish it from sibling tools like 'timezone' or 'iana-zones'.

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

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

There is no guidance on when to use this tool versus alternatives such as 'timezone' or 'iana-zones'. The description does not mention exclusions, preferred contexts, or related tools, so an agent must infer usage from the name alone.

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

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

With no annotations, the description is the only source of behavioral information, and it only says the body is discarded; it doesn't state what the tool returns, whether it writes anything, or how errors are signaled. The 'body is discarded' phrase is also confusing because no body field appears in the 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 text is short and not redundant, but it omits essential context needed to use the tool. The structure is acceptable for a one-line summary, yet the missing operational detail makes it less useful than it could be.

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

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

There is no output schema, no example, no required parameter guidance, and no explanation of the unusual optional parameters. The description leaves an agent unable to predict behavior or interpret results, so it is incomplete even for a simple validation tool.

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

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

Although every parameter has a schema description, most descriptions are unrelated to JSON validation (e.g., city, feed, zone) and seem copied from other tools. Only 'json' is clearly relevant, and the description doesn't explain how the other parameters participate in the check.

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

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

The description says 'Check whether a body is valid JSON,' but the schema has no 'body' parameter; a 'json' parameter exists but it isn't clearly identified as the body. The verb and resource are vague enough that an agent can't confidently tell what input to provide.

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

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

No guidance is given about when to choose this tool over the many sibling tools (e.g., fetch-status, browser-url-ok, normalize-url). No conditions, prerequisites, or exclusions are mentioned, and the odd parameter list leaves the intended use case unclear.

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 behavioral disclosure burden. It reveals the external data source and basic result, but does not disclose that most schema parameters are ignored or discarded, whether an external network call is made, or what happens if city is omitted.

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 concise and front-loaded, but it is under-specified for a tool with nine parameters and no annotations. It is not merely concise; it omits information that should be present for safe and correct invocation.

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

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

With no output schema and no annotations, the description is not complete enough for an agent. It does not clarify which parameter to use, that other parameters are discarded, what the return format is, or how errors are handled. The large, loosely related parameter set increases the need for more context.

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

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

Schema description coverage is 100%, so the schema already documents each parameter. The description only adds that city is the semantic focus, which is marginal beyond the schema's 'City name for a public weather hint'; 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 clearly identifies the tool's domain and result: current temperature for a city via Open-Meteo. It is specific enough to distinguish from siblings like geo-hint, though it lacks an explicit action verb such as 'get' or 'return'.

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 rather than alternatives, no prerequisites, and no mention that the city parameter is the relevant one among nine parameters. The purpose is implied but not actionable for an agent deciding between 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?

No annotations are present, so the description carries the disclosure burden. It is transparent about the main behavioral detail: the response body is discarded and not returned. However, it does not mention redirects, timeouts, error behavior, response format, or any server-side network implications, so transparency is only partial.

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. Every word contributes to the tool's purpose and the most important constraint, body discarded.

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

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

With nine optional parameters, no annotations, and no output schema, a one-line description is thin. It does not state the return shape beyond status/content type, which public URL variants are accepted, or which parameters should be populated.

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 input schema already documents all nine optional parameters. The description adds no parameter-level meaning and does not clarify why non-URL fields such as city, json, zone, and query exist alongside the stated URL-focused 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 names a specific operation and outcome: fetching a public URL and returning HTTP status and content type. It also adds the distinguishing constraint that the body is discarded. It does not explicitly contrast with sibling tools like fetch-status or browser-url-ok, 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?

The description implies when to use the tool: when an agent needs HTTP status and content type and does not need the body. It offers no explicit when-not-to-use guidance or alternatives, leaving the choice among similar sibling tools 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?

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds a useful behavioral fact—'Title discarded after the call'—indicating the input is not retained. It does not disclose return format or behavior for a nonexistent title, but it does not contradict the annotations.

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 purpose is front-loaded, and the second sentence earns its place by communicating a retention guarantee. It is concise without sacrificing the one behavioral caveat it chooses to make.

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

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

With no output schema, the description gives no return-value information, and it fails to connect the stated purpose to any usable parameter. The mismatch between the claimed Wikipedia-title check and the actual schema fields leaves the definition operationally 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?

The input schema exposes seven unrelated parameters (ref, url, city, feed, host, json, path), none of which is a Wikipedia title, and the description never identifies which parameter should carry the title. Without that mapping, an agent cannot correctly invoke the tool despite the schema having detailed property 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 opens with a specific verb-resource pair: 'Check whether a Wikipedia title exists.' This makes the core intent clear and distinguishes it from unrelated sibling validators. However, it never maps that purpose to any concrete parameter in the schema, so the operational purpose is only partially resolved.

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 such as normalize-url, validate-json, or file-path-ok. The only usage signal is the generic existence-check statement; there are no exclusions, prerequisites, or named alternatives.

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