ISO country MT

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

With no annotations, the description does some disclosure work by stating that task text is discarded and that the return value is an index/setup artifact rather than live results. It does not explicitly state read-only status, network effects, costs, or error behavior, leaving part of the safety burden unaddressed.

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

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

Three short sentences, each adding one distinct fact: purpose, return contents, and data handling. 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?

For a tool with no required parameters and no output schema, the description covers the basic call shape and return items, but it omits when to prefer this over siblings and any detail about the returned structure. The schema's per-parameter notes mitigate the nine-parameter ambiguity, so the description is minimally adequate rather than fully 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?

Every parameter already has a schema description (100% coverage), so the baseline applies; the description adds no parameter-specific meaning and does not explain how to select among the nine 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 opens with a specific verb and resource ('Find a public pay-per-call tool gateway (Monid)') and enumerates the returned artifacts, so an agent understands the core function. It does not explicitly contrast with sibling tools, and 'Monid' is left unexplained, which keeps it just below a 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?

No statement of when to invoke this tool or which sibling to prefer; it neither names alternatives nor gives selection criteria. The 'Task text discarded' note hints at a non-search behavior but does not say when this tool is the right choice.

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

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It does disclose one useful negative behavior: no browser is launched. It does not state whether a network request is made, what the response looks like, whether any data is discarded or retained, or what side effects, if any, occur.

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

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

The description is short and front-loaded, with no wasted words. The second sentence adds a meaningful behavioral boundary. It loses a point because the first sentence is very close to the tool name and provides only modest additional semantic value.

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

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

With no output schema and no annotations, the description is the only source of context, and it is far from sufficient. It does not say what the tool returns, what 'can be opened' means operationally, or how the large set of peripheral parameters relates to the check. An agent would need more information to invoke this tool confidently.

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

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

All parameters have schema descriptions, so the tool description is not required to repeat them. However, the description adds no meaning to the parameters, and it does not clarify why parameters such as city, feed, ref, json, path, and query are relevant to checking a URL. This is an acceptable baseline given 100% schema coverage, but not more.

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 clear verb and resource: 'Check whether a URL can be opened.' The second sentence, 'No browser is launched,' helps distinguish it from a sibling like playwright-url-ok. However, 'can be opened' is left ambiguous; it could mean HTTP reachability, URL syntax validation, DNS resolution, or some other interpretation, so it is not fully precise.

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 only usage signal is the exclusion 'No browser is launched,' which implies this is meant for a lightweight check that does not require real browser rendering. The description does not name alternatives such as fetch-status, normalize-url, or playwright-url-ok, nor does it state when to prefer one over the other.

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 only discloses that the expression is discarded; it does not say what the tool returns, whether any of the nine schema inputs are used, or what side effects occur. The mention of an expression with no corresponding schema parameter is an unexplained behavioral 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 short and the main purpose appears first, but the second sentence 'Expression discarded' is confusing and not self-contained because there is no expression field. It is concise in word count, but not in clarity.

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

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

For a 9-parameter tool with no annotations and no output schema, this is far from complete. It does not specify how to pass the arithmetic expression, what output to expect, or when the tool should be selected, so an agent lacks essential invocation information.

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

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

Every schema parameter already has a description, so the baseline is 3. The tool description adds no parameter-level meaning and, worse, refers to an 'expression' that does not exist in the schema, so an agent cannot map the described input to a concrete field. However, the schema itself fully documents its own nine 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 phrase 'Evaluate a+b style arithmetic' names a specific verb and object, so it is not a tautology. However, the schema exposes no expression parameter at all; the nine inputs are ref, url, city, feed, host, json, path, and query. This leaves the actual purpose ambiguous and does not differentiate the tool from sibling validators such as validate-json.

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 when-to-use or when-not-to-use guidance is provided. The description never references alternatives like web-fetch or validate-json, and gives no context for when calc-eval is the right tool versus any sibling.

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 behavioral transparency burden. It does disclose a useful privacy-relevant trait ('Page content is not stored'), but it does not mention whether a network request is made, whether authentication is needed, or any rate-limit or error behavior.

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

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

The description is two short sentences with no filler. The primary purpose is front-loaded, and the additional privacy statement earns its place by conveying a meaningful behavioral boundary.

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

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

Given nine parameters, no annotations, and no output schema, this description is too thin. It does not explain why there are so many parameters, which parameter to pass, what happens with non-URL inputs, or what the exact return shape is beyond three 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?

The input schema covers all parameters with descriptions, so the schema carries most of the parameter-semantics weight. The description adds only that this operates on a URL, which is mild extra context, but it does not explain the role of the many other 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 a specific verb ('Return') and concrete outputs ('host, scheme, and HTTP status for a URL'). It is not a tautology and gives enough specificity to distinguish from broader fetch or normalize tools, though it does not explicitly name a sibling distinction.

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

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

There is no guidance about when to use this tool versus overlapping siblings like fetch-status, normalize-url, or web-fetch. The description implies a lightweight URL-shape check, but gives no explicit when-to-use or when-not-to-use 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 behavioral burden, and the only behavioral disclosure is 'No identifiers are retained.' It does not state whether the operation is read-only, whether it has side effects, what happens when multiple parameters are supplied, or how the classification is produced.

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, readable, and front-loads the core action with no filler. It is under-specified for a nine-parameter tool with no annotations, so the brevity is not fully 'appropriate' even though it is efficient.

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

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

The tool has nine optional parameters, no required fields, no output schema, no annotations, and 27 siblings, but the description does not explain the expected input shape, the output/classification values, or how parameters combine. The privacy note is useful, but the definition is missing significant context an agent would need 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?

Schema description coverage is 100%, and each of the nine parameters has a clear individual description (e.g., 'discarded after the shape check', 'public weather hint'), so the baseline of 3 applies. The tool description adds no interaction semantics, such as whether parameters are alternatives, complements, or mutually exclusive.

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 ('Show') and an object ('how this request is classified'), so it is not a pure tautology. However, 'classified' is never defined: an agent does not learn what classification categories exist, what output to expect, or what makes this different from any sibling tool.

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

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

No when-to-use guidance is present, and no alternatives or exclusions are named. The description never connects the request content or parameters to a rule for choosing compatibility over the many 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?

No annotations are provided, so the description carries the behavioral disclosure burden. It does disclose one meaningful boundary—no WHOIS or ownership enrichment—but it does not say whether the tool performs network calls, how malformed hostnames are handled, or what the exact return structure is. The schema's 'discarded' notes add some behavioral context, but the tool 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 sentence with no filler, and the main action is front-loaded. The 'without WHOIS or ownership data' clause earns its place by setting expectations. It is concise, though the terseness leaves some clarity gaps noted 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?

The tool has no output schema and no annotations, and the description only hints at the return value by saying 'split into labels.' It does not explain the output format, error behavior, or which of the nine optional parameters are actually relevant to the described operation. This is minimally viable but not complete enough for an agent to invoke with confidence beyond the obvious `host` case.

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 and the description does not need to re-document parameters. The description's 'hostname' maps conceptually to the `host` parameter, but it adds no parameter-level detail beyond what the schema already provides. The relationship between the stated hostname operation and the other eight optional parameters is never clarified.

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 ('split a hostname into labels') and a specific resource (hostname), and the 'without WHOIS or ownership data' clause adds useful scoping that distinguishes it from domain-lookup tools. It does not explicitly name a sibling alternative, so it is not a perfect 5, and the nine-parameter schema includes many unrelated fields that the description does not acknowledge.

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 about when to use this tool instead of a sibling shape/validation tool. The only hint is the negative clause 'without WHOIS or ownership data,' which describes what the tool does not do rather than when to select it. An agent would have to infer the intended use 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?

With no annotations, the description carries the burden and does disclose the core behavior: HEAD request, public URL, status-only return. However, it does not state that other parameters such as ref, feed, json, or path are ignored or discarded, nor does it describe failure behavior or response 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?

The description is a single, front-loaded sentence with no filler. It is efficient, though given the nine-parameter schema and sibling choices, slightly more context could make it more useful without harming 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 simple HEAD-status tool, the description covers the essential behavior and return scope. Yet it omits which parameter to populate, that other parameters are irrelevant, and any detail about the status output format, leaving the agent to infer these from the schema.

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

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

Schema description coverage is 100%, so the schema already documents each parameter; the description only adds that the URL is meant for a HEAD request. This matches the baseline of 3 because the description does not need to restate schema details.

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 precise operation: perform a HEAD request on a public URL and return only the status. This is a specific verb+resource+output, though it does not explicitly differentiate from sibling URL-checking tools like web-fetch or browser-url-ok.

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

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

The phrase 'status only' implies use when a lightweight status check is needed, but there is no explicit when-to-use or when-not-to-use guidance and no reference to alternative tools. This is implied usage rather than clear 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?

The only disclosed behavior is that the path is discarded. There is no mention of return values, validation behavior, error handling, or read-only nature. With no annotations available, the description carries the full burden and leaves most behavioral traits 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 short and front-loaded with the main action, so it is concise in length. But the brevity omits essential information and the 'Path discarded' clause is cryptic without additional context, making the structure feel under-specified rather than efficiently complete.

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

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

With 9 optional parameters, no output schema, and no annotations, the description is far from sufficient. It does not explain what the tool returns, how the parameters are used, or what a valid call looks like, so an agent cannot confidently invoke it.

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

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

Schema description coverage is 100%, so each parameter has a description, which establishes a baseline of 3. However, the tool description does not clarify which parameter holds the Figma URL or how the other eight parameters (ref, city, feed, host, json, path, zone, query) are involved, so it adds no semantic value beyond the schema.

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

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

States a specific action on a specific resource type ('Parse a Figma file URL') and the tool name clearly ties it to the family of shape-checkers. The addition of 'Path discarded' hints at a behavioral nuance, though 'parse' is still somewhat ambiguous about whether it validates, extracts, or normalizes.

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?

Provides no guidance on when to use this tool instead of siblings like normalize-url, browser-url-ok, github-repo-shape, or other URL-related tools. No context, prerequisites, or exclusions are given.

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

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

With no annotations provided, 'No disk access' is a valuable behavioral guarantee and partially carries the disclosure burden. Still, the description does not state what the tool returns, what criteria define 'safe', or whether an unsafe path results in a throw or a boolean response.

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 purpose is front-loaded and the operational caveat follows immediately. 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?

The tool has no output schema and no annotations, yet the description does not explain return values or success/failure behavior. The schema's nine unrelated parameters also require clarification about which parameter to populate, making the definition incomplete for safe autonomous 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 schema parameters have descriptions, so schema coverage is 100%; the 'path' parameter is documented as 'File path to check'. The description adds no parameter-specific guidance, and the presence of many unrelated parameters like url, city, json, and zone creates ambiguity that the description does not resolve.

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 path looks safe') and the resource (path), while the second sentence adds an important boundary ('No disk access'). It does not explicitly contrast with sibling URL-checking tools, but the path focus and no-disk guarantee make the purpose reasonably 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?

The usage context is implied: call this when you need a path safety check that must not touch the filesystem. However, it gives no explicit when-not-to-use guidance and does not name alternatives such as browser-url-ok or normalize-url for URL-based checks.

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

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

With no annotations, the description must carry the full behavioral burden. It only reveals the external provider (Open-Meteo) and does not mention network dependence, approximate results, error behavior, output format, or that most schema parameters appear unrelated and may be ignored or 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 with the core output and has no filler, so it earns its place. It is slightly too terse to be a 5 because it omits necessary invocation 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 9 optional parameters, a mismatched schema, absent annotations, and no output schema, this one-line description is far from complete. An agent cannot determine which parameter to pass or what the returned coordinates will look 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?

Although the schema documents all 9 parameters, the description adds no mapping from any parameter to the place being geocoded. The only plausible candidate, 'city', is described as 'for a public weather hint; discarded after the call', which actively conflicts with the tool's stated geo 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 clearly identifies the tool's output as latitude and longitude for a place, backed by Open-Meteo, which is specific enough to convey the core geocoding function. It does not name sibling alternatives or clarify how the place is supplied, 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?

No guidance is given about when to prefer this tool over siblings like weather-hint or iana-zones, and no exclusions, preconditions, or alternative routing are described. The only implied usage is 'need coordinates,' but the description never states how to select the place or what to do when multiple matches 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?

No annotations are provided, so the description carries the full behavioral disclosure burden. It only says 'parse', leaving unclear whether the URL is fetched, what happens on invalid input, or how the unrelated optional parameters are treated.

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 core 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?

The tool has no output schema and no annotations, yet the description does not mention return format, error behavior, or how the nine optional parameters interact. A one-line description is insufficient for an agent to call this tool confidently.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds meaningful value by clarifying that the url parameter is a GitHub URL and that the output is owner and repo, which the schema's generic 'HTTPS URL to normalize or cite' does not convey.

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 ('Parse') and names the exact resource ('owner and repo from a GitHub URL'). It also differentiates the tool from sibling shape tools like domain-shape, figma-url-shape, and jira-key-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?

There is no guidance about when to use this tool versus alternatives such as normalize-url, fetch-status, or other shape parsers. The description does not state when not to use it or which sibling tools might be more appropriate.

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

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

There are no annotations, so the description carries the full burden of disclosing behavior. It does reveal that titles are discarded and that the count is for the current front page, but it does not state the output format, whether a network fetch is performed, whether a feed/URL parameter is required, or how errors are handled. This is a thin disclosure for a tool with no structured 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?

Two short sentences with the main action front-loaded and no filler. Every word earns its place, and the brevity is effective despite contributing to under-specification in other dimensions.

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

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

With nine optional parameters, no output schema, and no annotations, the description is not complete enough for correct invocation. It never says which parameter(s) to supply or what the response looks like beyond dropping titles. An agent would have to guess whether to call with no arguments, pass an HN feed, or pass a URL.

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 covers all nine parameters with descriptions, so the baseline is 3. The tool description adds no explicit parameter-level meaning, though 'Titles discarded' echoes the feed parameter's 'titles discarded' and weakly hints that feed may be relevant. It never clearly maps the tool's purpose to a specific parameter among url, feed, and the others.

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 current Hacker News front-page stories.' The additional phrase 'Titles discarded' narrows the behavior and helps distinguish the tool from ones that would return story details. No sibling tool appears to claim this exact HN front-page counting job.

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 should be used when an agent needs the current Hacker News front-page story count, and 'Titles discarded' hints this is not the tool when titles are needed. However, it names no alternatives and gives no explicit when-to-use or when-not-to-use guidance, leaving usage largely implicit.

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

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

With no annotations, the description carries the full burden of disclosing behavior, but it only says the tool provides names for clock calls. It does not explain side effects, return behavior, discarding of inputs, or whether this is read-only, even though input schema fields mention values being discarded. No behavioral context is actually conveyed.

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 in length but under-specified in content. It does not earn its place because it fails to communicate the tool's behavior or how it relates to the supplied schema, making this under-specification rather than effective 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?

Given nine parameters, no annotations, no output schema, and several closely related sibling tools, a one-line vague description is severely inadequate. An agent cannot determine what inputs matter, what the tool returns, or how this differs from timezone, utc-time, and other 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 coverage is 100%, so the baseline is 3, but the description actively points toward timezone-related parameters while the actual schema contains unrelated parameters like ref, url, city, feed, host, json, and path. The description adds no meaning to the parameters and could mislead an agent into expecting a timezone-name parameter that does not exist.

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

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

The description is a noun phrase rather than a verb+resource statement, so it is unclear what action the tool performs. 'Common IANA timezone names for clock calls' largely restates the tool name 'iana-zones' without saying whether it lists, validates, or resolves zones, and it does not distinguish this tool from siblings 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' hints at a use context but does not specify when to choose this tool over the timezone-related sibling tools. No explicit when-to-use, when-not-to-use, or alternative guidance is provided.

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

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

No annotations are present, so the description must carry the burden of behavioral disclosure. It does say fetching is limited to public robots.txt and returns only counts, but it doesn't state which inputs are actually used, what happens on missing/unreachable robots.txt, or whether other parameters are ignored. This is a significant gap for a nine-parameter optional-input 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?

One short, front-loaded sentence with no filler. Every word contributes to the core purpose or the output constraint, making it easy to scan and remember.

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

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

The description is too sparse for a tool with nine optional parameters, no annotations, and no output schema. It omits which parameter supplies the robots.txt location and only vaguely describes the output as 'group counts', so an agent lacks the information needed to invoke and interpret it reliably.

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 even though the description adds no parameter mapping. The description doesn't clarify which parameter supplies the robots.txt location, and schema descriptions never reference robots.txt, leaving ambiguity between host, url, and path. Still, every parameter is individually documented in 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?

States a concrete action ('Fetch'), a specific resource ('public robots.txt'), and a constrained result ('group counts only'). It distinguishes itself from generic sibling fetchers like web-fetch by narrowing to robots.txt, though it doesn't name alternatives 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?

No guidance about when to prefer this over sibling fetch/status tools such as web-fetch, fetch-status, or browser-url-ok. The only implied context is needing robots.txt counts; no exclusions or alternative routing are stated.

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 behavioral burden. 'Key discarded' discloses that the key is not retained, and 'Check' implies a read-only operation, but it does not describe the return value, error behavior, or whether any fetch/validation side effect occurs.

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, and the core purpose is front-loaded. The text is appropriately concise, though the extreme brevity sacrifices useful guidance.

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

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

Given seven parameters, no annotations, and no output schema, the description is far too sparse. It fails to specify the input parameter, the expected key format, or what the tool returns, leaving the agent with no reliable basis for 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 has seven parameters, each with descriptions, but none is clearly identified as the Jira key input. The description mentions 'key' while the schema fields are generic and unrelated (e.g., city, feed, host), so an agent cannot reliably determine which parameter to populate. High schema coverage does not compensate for this 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 uses the specific verb 'check' with the resource 'Jira issue key shape', which clearly distinguishes this tool from sibling shape tools like domain-shape or github-repo-shape. However, it leaves ambiguous which parameter carries the key and what 'shape' means operationally.

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 sibling shape-checking tools, nor any mention of the expected input format or source (e.g., ref, url). An agent must infer the usage context entirely from the tool name.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only reveals that the body is discarded, leaving unclear whether the tool performs a live request, how it handles redirects or errors, and what exact response 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 the core function. Each sentence contributes, but it leans toward under-specification rather than deliberate concise 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?

For a tool with 9 optional parameters, no output schema, no annotations, and many close siblings, this description is not complete enough. It omits which parameter to provide, what the output looks like, and how it differs from alternative URL-checking 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 even though the description adds no parameter-specific meaning. However, the description does not map 'docs URL' to the url parameter, and the schema's url description ('HTTPS URL to normalize or cite') does not align well 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 function: returning the HTTP status for a public library docs URL, and mentions that the body is discarded. This helps distinguish it from general-purpose status or fetch tools, though 'public library docs' remains somewhat ambiguous.

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

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

There is no explicit guidance on when to use this tool versus siblings like fetch-status, browser-url-ok, or web-fetch. The only implicit hint is 'Body discarded,' but no alternatives or exclusions are named.

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 values are discarded, which is useful, but it does not mention return format, whether nested keys are counted, invalid JSON behavior, side effects, or any safety-relevant traits.

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

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

The two sentences are front-loaded, short, and contain no filler. The description is concise, but for a tool with nine optional parameters and no output schema, the brevity edges toward under-specification rather than efficient completeness.

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

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

The tool definition does not give an agent enough information to invoke it correctly: it fails to say which parameter supplies the JSON, whether the count includes nested keys, what the returned value looks like, or how it relates to sibling tools. With no annotations and no output schema, this is a significant 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 coverage is 100%, so a baseline of 3 would normally apply, but the description adds no explicit mapping to a parameter. Worse, several schema descriptions point to unrelated operations such as URL normalization, weather hints, and validation, so the schema is actively misleading about which parameter matters for counting keys.

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 ('Count keys') and a specific resource ('in a JSON object'), and 'Values discarded' adds a clear scope. However, it does not name which input parameter holds the JSON or explicitly distinguish itself from JSON-related siblings like validate-json, 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 alternatives such as validate-json or search-query-len. The only implied usage is 'when you need to count keys,' but no explicit context, exclusions, or alternative-selection hints are provided.

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

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

No annotations are provided, so the description carries the burden, and it does disclose the output components and the query/fragment dropping behavior. However, it does not explain how the many other schema parameters like city, feed, or json are handled, nor does it describe validation or error behavior, leaving a meaningful 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: it states the result first, then the transformation. It is easy to parse, though it is arguably too terse given the complexity of the nine-parameter schema.

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

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

Given nine optional parameters, no output schema, and many siblings, the description is not complete enough. It doesn't state whether url is effectively required, what happens with no arguments, what the return format looks like, or why the schema includes so many unrelated fields like city and query. An agent could easily invoke it incorrectly.

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 input schema already documents all nine parameters and the baseline is 3. The description adds some context about URL query/fragment handling, but it does little to clarify why unrelated parameters such as city, feed, json, and zone are present in the schema for a URL-normalization 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 clearly states the tool's core behavior: 'Return origin, host, and path for a URL' and explicitly says 'Query and fragment are dropped.' This gives a specific verb, resource, and result, which differentiates it from URL-checking siblings like browser-url-ok. However, it doesn't name alternatives or reconcile the broad input schema, so it stops short of full differentiation.

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

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

The description implies when to use the tool: whenever an agent needs the origin, host, or path of a URL with query/fragment stripped. But it provides no explicit when-not-to-use guidance or comparison with sibling tools such as fetch-status or browser-url-ok, leaving the routing 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 carries the full burden. It does disclose a meaningful behavioral trait by stating 'No browser is launched,' but it does not explain what the check actually does under the hood, what happens on failure, 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?

The description is two short sentences, front-loads the primary action, and contains no filler. Every word contributes clarity.

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

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

The tool accepts nine optional parameters with seemingly unrelated purposes, and the description does not explain how they relate to the URL check. There is no output schema and no description of return values, so an agent lacks essential context for correctly interpreting results.

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

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

Schema description coverage is 100%, so every parameter is documented in the schema. The tool description adds no extra parameter-level meaning, 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 states a clear verb and resource: 'Check whether a URL can be opened.' It also differentiates itself from browser-launching siblings by explicitly saying 'No browser is launched,' making the tool's purpose distinct and unambiguous.

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

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

Usage is implied by the purpose: use this when you need to verify a URL can be opened without launching a browser. However, it does not explicitly name alternatives like browser-url-ok, web-fetch, or fetch-status, nor does it state when not to use them.

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. 'Query discarded' is a useful disclosure that input is not retained, and the operation is clearly non-mutating. However, it does not explain the output format, whether other accepted parameters are ignored, or any edge-case behavior.

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

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

The description is two short sentences with no wasted words, and the core action is front-loaded. It could be slightly more informative without becoming verbose, but as written it is appropriately concise.

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

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

The tool has 9 optional parameters, no output schema, and no annotations, yet the description does not explain which parameter to use or how the other parameters relate to the tool. An agent may infer 'query' from the schema, but the presence of many unrelated fields is confusing. The description is not sufficient for fully confident 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. Every parameter already has a description, and the 'query' parameter explicitly says 'Search text; discarded after the length check.' The tool description itself adds no additional parameter semantics beyond confirming the query focus.

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: 'Count characters in a search query.' This distinguishes it from sibling shape-checkers and URL validators. It is not fully explicit about which parameter holds the search query or that the return value is the length, but the tool name and schema disambiguate.

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

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

No guidance is given about when to use this tool versus alternatives such as memory-key-count or hn-front-count. The description implies a character-count use case but does not state when-not-to-use it or mention any sibling tools. An agent receives no routing help.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states that this is a catalog, but does not explain what operation is performed, what the tool returns, or why the schema accepts ref, url, city, feed, host, json, and path. 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 very short, which is concise, but it is under-specified. It earns a middle score because brevity is not a problem, but the single sentence does not carry enough operational information.

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

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

For a tool with seven unrelated-looking parameters, no output schema, and no annotations, the description is completely inadequate. It does not explain the tool's behavior, expected inputs, return format, or relationship to sibling tools, leaving the agent unable 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?

The schema has seven parameters and the URL, keep-alive, and error descriptions focus on what is discarded or validated, not on how each parameter relates to the status-code catalog. The description adds no parameter-level meaning, so the agent cannot determine which inputs matter for the intended use.

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' essentially restates the tool name with 'catalog' and adds only 'common HTTP' as context. It lacks a clear verb or action, and does not clarify how the many heterogeneous input parameters relate to a status-code catalog.

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 indicate when to use this tool versus siblings like fetch-status, nor does it explain what inputs are relevant or how the catalog should be consulted.

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, and it does disclose the key behavior that the prompt is discarded. However, it does not explain whether the nine parameters influence the returned template, whether the template is fixed, or whether there are any side effects, 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?

Two short sentences with no filler: the main return statement is front-loaded, and the caveat about discarding the prompt is a separate concise sentence. Every word 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 description is too thin for a tool with nine optional parameters and no output schema. It doesn't state whether arguments are needed, whether the returned three-step template varies, or what the template's shape is; the schema handles parameter meanings but not the overall invocation 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?

Parameter semantics are already fully covered by the input schema (100% coverage), with each property including its own discard or use note. The description adds no additional meaning to the parameters, so the baseline of 3 applies.

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

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

The description clearly names a specific deliverable: 'Return a three-step thinking template.' The second sentence, 'Prompt discarded,' clarifies that the tool does not process the prompt. It doesn't name a sibling for contrast, but no sibling serves the same template-returning purpose, so the purpose 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 about when to invoke this tool versus alternatives, nor are prerequisites or exclusions stated. The only implicit signal is that the prompt is discarded, so an agent should not use it to analyze prompt content; otherwise the intended call context 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 behavioral burden. 'Current time in a named IANA timezone' conveys the core read-only behavior, but it does not disclose output format, error handling for unknown zones, or whether DST is reflected. This is minimal 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 focused sentence with no filler and leads with the core value proposition. It is under-specified overall, but for what it includes it is concise 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?

Given nine optional parameters, no annotations, and no output schema, the one-sentence description is insufficient. It does not indicate that zone is the relevant parameter, what the response looks like, or how invalid input is handled, so an agent lacks enough information to invoke it reliably.

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 parameters, and the zone property is explicitly described as 'IANA timezone name', which matches the tool description. The description adds no extra meaning beyond the schema and does not clarify which of the many optional parameters are actually relevant, but per the high-coverage baseline this is adequate.

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 'Current time in a named IANA timezone' clearly identifies the operation and resource, and the phrase 'named IANA timezone' lets it stand apart from siblings like utc-time. However, it does not explicitly name that alternative, so it stops short of a fully sibling-aware statement.

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

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

There is no guidance about when to choose this tool over utc-time or iana-zones, nor any mention of prerequisites such as looking up a valid IANA zone name. The description only states what the tool does, leaving the selection context entirely to the agent.

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 responsibility for behavioral disclosure. It only states the output and does not mention that all input parameters are ignored, that the operation is side-effect free, or why the schema includes many seemingly unrelated fields. The schema hints at discarding values, but the description omits this surprising behavior.

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

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

The description is a single short phrase with no wasted words, but it is under-specified for a tool that has a complex and confusing schema. Brevity is achieved at the expense of explaining the unusual parameter behavior, so the description is minimal but not ideally structured for an agent.

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 parameters and no annotations, the description is insufficiently complete. It does not explain why those parameters exist, that they do not affect the output, or how an agent should choose between this tool and timezone-related siblings, leaving room for incorrect 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 provides descriptions for all parameters, so the baseline is 3. The description adds no parameter-level meaning and does not clarify that parameters are optional and effectively ignored; however, the schema descriptions already state that each value is discarded or checked, so the gap is partially covered.

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 'Current UTC timestamp' clearly identifies the output as the current time in UTC, which is specific enough to distinguish it from sibling tools like timezone. However, it lacks an explicit verb such as 'returns' and does not directly differentiate itself from alternatives.

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

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

The description provides no guidance on when to use this tool versus alternatives like timezone or web-fetch. It also fails to mention that the tool can be called with no arguments even though it accepts a broad schema.

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 full behavioral burden. It does disclose that the body is discarded after the check, which is useful, but it does not state whether invalid JSON causes an error or what the success/failure response 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?

The description is two short sentences, with the core purpose front-loaded and the disposal note adding relevant behavioral information. There is no redundant 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 no output schema and no annotations, the description omits return behavior and fails to connect 'body' to the 'json' parameter, especially while the schema lists six other seemingly unrelated parameters. This ambiguity makes reliable invocation difficult.

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

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

The schema provides descriptions for all seven parameters, so schema coverage is high and the baseline is 3. The description adds no extra parameter meaning and does not clarify which schema field corresponds to the 'body' it mentions.

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 ('Check') and resource ('a body') with the condition 'valid JSON'. It is distinguishable from sibling tools like normalize-url or web-fetch, though 'body' is slightly ambiguous and no sibling name is given.

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 when-to-use or when-not-to-use guidance is provided, and no alternatives or exclusions are mentioned. An agent must infer that this tool is meant for JSON syntax validation rather than the shape checks performed by 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?

With no annotations, the description carries the behavioral disclosure burden. It names the external provider and indicates a read-only current-temperature lookup, which is useful context. It does not mention units, error behavior, response format, or side effects, creating some 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, clear, front-loaded sentence with no filler. It quickly conveys the core function and data source, which is appropriately concise for the tool's apparent simplicity.

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

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

The description is enough to select and invoke the tool with a city name, but because there is no output schema and no annotations, it leaves important context unspecified, such as the temperature unit, response format, and error behavior. It is adequate but has clear gaps.

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 parameters and their discard behaviors. The tool description adds no new parameter semantics beyond implying that 'city' is the relevant input for a weather lookup.

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 conveys that the tool returns the current temperature for a city and identifies the external source, Open-Meteo. It lacks an explicit verb and does not explicitly differentiate it from siblings, but the weather-specific resource makes its purpose evident.

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

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

The description implies usage when a current city temperature is needed and that Open-Meteo is a public data source. However, it does not state when not to use the tool, provide exclusion conditions, or mention any alternative tools, leaving the guidance 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 burden and does disclose one important behavior: the body is discarded. It does not mention redirects, timeouts, or how the many other schema parameters are treated, so behavioral coverage is 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?

Two short, purposeful sentences. The main output is front-loaded and the critical side-effect ('Body discarded') is stated without any fluff or repetition of schema 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 tool has 9 optional parameters, no annotations, and no output schema, yet the description only covers one use case. It does not explain whether only 'url' is used, whether other parameters are ignored, or what happens on error, leaving an agent under-equipped to call this correctly.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds little beyond the schema—it only mentions 'URL', which maps to the 'url' parameter, but leaves the other eight parameters' relevance unclear. The schema itself documents them, so no severe penalty.

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: fetch a public URL and return HTTP status and content type. However, it does not differentiate from 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 phrase 'public URL' implies when this tool is appropriate, and 'Body discarded' suggests not to use it if the response body is needed. Yet it gives no explicit alternatives, exclusions, or comparison to sibling tools, leaving usage largely implied.

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 adds one behavioral note—'Title discarded after the call'—but omits that this likely performs an external Wikipedia request, whether any side effects or rate limits apply, and what the result contains.

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, front-loaded, and contains no filler; both sentences earn their place. However, it is under-specified, so compactness does not make up for missing input mapping and behavioral 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?

For a tool with seven schema parameters and no output schema, this description is not complete enough to invoke correctly. The essential title-to-parameter mapping and the result/return behavior are absent.

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 exposes seven parameters (ref, url, city, feed, host, json, path), yet none is described as conveying a Wikipedia title. The description mentions a title but never maps it to a parameter, so an agent cannot know which input to provide.

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: 'Check whether a Wikipedia title exists.' This is clear enough about the tool's purpose, but it does not differentiate it from sibling lookup/validation tools such as normalize-url 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?

There is no guidance about when to choose this tool over alternatives, no exclusions, and no conditions. The only signal is the implied use case of verifying Wikipedia title existence, which is not enough to route an agent reliably.

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