America/Rankin_Inlet clock

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

With no annotations, the description must carry transparency, but it only mentions that task text is discarded and that certain outputs are returned. It does not disclose whether network calls, side effects, authentication, or rate limits are involved.

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 not redundant, but the structure mixes unclear jargon with an unexplained warning. It is concise in length yet not effectively organized for comprehension.

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 many optional parameters and no output schema, and the description does not explain how inputs map to the advertised outputs or what 'CLI setup' and 'remote MCP hops' mean. An agent would not know what arguments to supply or how to interpret the result.

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, so the baseline is 3. Each parameter has a short description (e.g., 'HTTPS URL to normalize or cite'), though these descriptions are not tied to the tool's stated purpose and add little beyond the schema.

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

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

The description names a verb ('Find') and an object ('public pay-per-call tool gateway (Monid)'), but it never explains what Monid is or how the nine optional parameters relate to that goal. The returns list ('CLI setup, how-it-works, skill file, remote MCP hops') adds jargon without making the function identifiable.

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 or when to prefer one of the many sibling tools. The final sentence 'Task text discarded' is a warning, not a usage criterion, so there is no actionable selection 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 behavioral burden. It does disclose the key side-effect trait that no browser is launched, which is useful. However, it does not clarify whether a network request is made, whether parameters are ignored/discarded, or what the result of the check represents.

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 action is front-loaded, and the second sentence adds a meaningful side-effect guarantee. 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?

This tool has 9 optional parameters, no annotations, and no output schema, yet the description gives no return type, no indication of which parameter to pass, and no explanation of network vs. local-only behavior. An agent would be uncertain whether 'can be opened' means valid URL syntax, reachable endpoint, or something else.

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 detail. The description does not correct or clarify that the `url` parameter is the relevant one for this tool, and several schema descriptions mention 'discarded' behavior, so the mapping of purpose to parameters remains somewhat under-specified.

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 object: it checks whether a URL can be opened, and adds the clarifying guarantee that no browser is launched. This helps separate it from Playwright-based siblings, though 'can be opened' remains somewhat ambiguous about whether this is a syntax/shape check or an accessibility/network check.

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 'No browser is launched' implicitly signals this is the lightweight alternative when a browser launch is undesirable, but the description never names alternatives or states when not to use it. It also gives no guidance about which of the nine optional parameters should be supplied.

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

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

No annotations are provided, so the description must carry the full behavioral burden. It discloses only that the expression is discarded, implying a stateless operation, but says nothing about side effects, return behavior, failure modes, or whether any input is persisted.

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

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

The description is short and front-loaded, but the second sentence, 'Expression discarded,' is cryptic and does not clearly earn its place. The terseness comes at the cost of essential 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?

With no annotations, no output schema, nine parameters, and no explanation of what result is produced or which parameter holds the expression, the description is not complete enough for safe invocation. The schema richness does not compensate for the missing connection between the stated purpose and the actual 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?

Although the schema descriptions are comprehensive, the description references an 'expression' that does not map to any of the nine schema properties. With additionalProperties set to false, an agent following the description cannot determine where to place the arithmetic expression, making the description actively misleading rather than helpful.

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

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

The description states a specific verb and resource: 'Evaluate a+b style arithmetic.' This is clear enough to distinguish the tool's topic from the many validation and hint siblings, though it never says what the evaluation returns and does not explicitly differentiate 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?

There is no guidance on when to use this tool versus any sibling, no use-case context, no prerequisites, and no exclusions. An agent is left to guess when 'calc-eval' 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 burden, and it does add one useful behavioral disclosure: 'Page content is not stored.' It does not describe what happens to the many other accepted schema fields, response shape details, or error behavior, but for a read-only metadata check the non-storage statement provides meaningful transparency.

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

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

Two short sentences with the substantive output front-loaded and the privacy note second. Every sentence earns its place; there is no fluff.

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 with zero required fields and no output schema or annotations, the description only covers one URL use case. It leaves the agent to guess whether the other parameters are valid and what happens if multiple are supplied, so the definition is not complete for correct invocation.

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

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

Schema coverage is 100%, so the baseline is 3. The description contributes the output semantics for the 'url' parameter but does not clarify that the other eight optional parameters are irrelevant or how they should be combined, which is a real gap given 0 required 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 uses a specific verb ('Return') and names a concrete resource ('host, scheme, and HTTP status for a URL'), so an agent can tell what the tool produces. It does not name any sibling tool or explicitly contrast itself with fetch-status or normalize-url, so it stops short of full sibling differentiation.

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

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

No guidance is given about when to choose this tool over the many URL- and fetch-related siblings, nor about prerequisites. 'Page content is not stored' hints at a use case, but there is no explicit when-to-use or when-not-to-use statement.

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

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

Annotations are absent, so the description carries the full burden of behavioral disclosure. It does add one useful privacy trait ('No identifiers are retained'), but it does not disclose whether the tool performs network calls, returns a category, validates input, or has any side effects. The behavioral picture is incomplete.

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-loads the main purpose before the privacy statement. Both sentences are short and purposeful, though the first sentence is vague enough that brevity trades away necessary substance.

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

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

With 9 optional parameters, no annotations, and no output schema, the description is too thin to be complete. It does not explain what the classification output looks like, what categories are returned, how parameters relate to classification, or why an agent should call this instead of a sibling 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%, and each parameter already has a clear description about its use and disposal. The tool description adds no parameter-level meaning beyond the schema, 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 uses a verb and a resource ('Show how this request is classified'), so it is not a pure tautology, but 'classified' is vague and does not specify what classification means, what categories exist, or how this differs from the many sibling shape-check and validation tools. It lacks the specific resource scope needed to be considered 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?

No when-to-use or when-not-to-use guidance is provided. There is no mention of alternatives such as validate-json, citation, normalize-url, or the various shape tools, nor any condition that would tell an agent to pick compatibility over a 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?

With no annotations provided, the description carries the behavioral burden. It discloses that the operation is purely syntactic ('without WHOIS or ownership data'), but it does not mention input handling, errors, or return behavior; schema-level 'discarded' notes do some of this work.

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 with no filler. It conveys the core operation and a key limitation in minimal words.

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

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

The description is enough to understand the high-level function, but with no output schema and no indication of which of the nine optional parameters is relevant, an agent is left to infer invocation details. The schema's host description partially compensates.

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-specific meaning; the relevant host parameter is documented only in the schema, and the description does not explicitly map 'hostname' to the 'host' field.

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?

Description states a specific action ('split a hostname into labels') and explicitly excludes WHOIS/ownership enrichment. This clearly distinguishes domain-shape from sibling URL/validation tools like normalize-url, github-repo-shape, and fetch-status.

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 the agent needs hostname labels without ownership data. However, it does not name any alternative tools or give explicit when-not-to-use guidance, leaving routing 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 sentence still conveys useful behavioral context: HEAD is a read-only method, 'public' signals no authentication is expected, and 'status only' tells the caller the body is not returned. It does not detail redirects or error/status semantics, but for a simple HEAD check the core safety and scope are disclosed.

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

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

Nine words, starts with the verb, and contains no filler; the front-loaded method, resource, and output restriction make it scannable. It earns a 5 on structure even if it is terse on 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?

With 9 optional parameters and no output schema, a single URL-focused sentence is incomplete: it doesn't say how the other parameters relate to the action, whether they are alternative modes, or what the returned status looks like. The no-required-parameters schema and lack of annotations increase the need for an integrated description, so this falls short.

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 has a description. The tool description adds nothing beyond identifying the URL case, and the odd collection of optional parameters such as city, json, and path is left unexplained.

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

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

The description names a specific action (HEAD), a specific resource (a public URL), and the exact output (status only). It also differentiates from content-fetching siblings like web-fetch by explicitly limiting the result to status, so an agent can distinguish it without reading the schema.

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

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

The description implies the tool is for checking HTTP availability rather than retrieving content, but it never names a sibling or states when not to use it. Given overlapping URL-checking siblings such as browser-url-ok, playwright-url-ok, and web-fetch, explicit routing would improve reliability.

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, but it only says 'Path discarded.' It does not state whether the tool fetches the URL, returns a structured object, performs validation, or has side effects. The schema's many 'discarded' field descriptions hint at behavior, but the tool description itself is too 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 extremely short and front-loaded, with both sentences contributing meaning. It earns its place as a concise summary, though it is terse enough that important context is left out.

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

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

Despite the tool having nine generic parameters and no output schema, the description is too incomplete to support correct invocation. It does not explain what a 'shape' output looks like, which field is the Figma URL, or how the 'discarded' fields relate to the stated purpose.

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

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

Schema description coverage is 100%, so the baseline is 3 and the schema already explains each parameter. The description adds little parameter meaning and does not clarify which parameter should receive the Figma file URL; the `url` parameter is described generically as 'HTTPS URL to normalize or cite.'

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,' which clearly identifies the tool's target and distinguishes it from sibling URL/shape tools such as normalize-url or github-repo-shape. The added 'Path discarded' gives a specific scoping detail, though it is ambiguous whether it refers to the URL path or an input parameter.

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

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

The description implies a use case—when you have a Figma file URL to parse—but it gives no explicit guidance about when to choose this tool over alternatives like normalize-url or other shape tools. It also does not mention exclusions, prerequisites, or expected inputs beyond the URL.

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

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

With no annotations, the description carries the burden of disclosing behavior. It does explicitly state 'No disk access', which is a meaningful and useful behavioral constraint. However, it does not disclose the return type, failure behavior, or what 'safe' means in terms of rejected patterns, so transparency is only partially satisfied.

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 main purpose appears immediately, followed by the crucial 'No disk access' caveat. No words are wasted, though the extreme brevity leaves important context unstated, so it earns 4 rather than 5.

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

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

Given nine parameters, no output schema, and no annotations, the description is incomplete. It does not explain the purpose of the non-path fields, state what the tool returns, clarify how 'safe' is determined, or indicate whether parameters are alternatives or combined. An agent would struggle to invoke this tool correctly beyond guessing the path parameter.

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 little about parameters. The description focuses on 'path' but the schema exposes seven unrelated fields, creating a mismatch that the description does not address.

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 ('Check') and resource ('a path'), and adds 'No disk access' to clarify that this is a static/shape-only check, distinguishing it somewhat from sibling URL-checking tools. However, 'looks safe' is somewhat vague about what safety criteria are applied, so it is not a perfect 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 use this tool versus browser-url-ok, playwright-url-ok, normalize-url, or other sibling validators. The description also does not explain whether this tool should be preferred for file paths or whether it can validate the many other input fields in the 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?

With no annotations, the description carries the behavioral burden. It discloses the main behavior: returning coordinates via Open-Meteo. It does not mention which input parameter identifies the place or what the return shape is, but it is not misleading and gives a reasonable basic contract.

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, front-loaded clause with no filler. Every word contributes to the core meaning, making it appropriately concise despite being minimal.

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

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

For a tool with nine parameters, no annotations, and no output schema, a one-line description is incomplete. It does not specify the required input, the shape of the returned coordinates, or error behavior, so an agent would have to guess how 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 has 100% coverage, but the description fails to connect 'a place' to any of the nine parameters. The closest candidate, city, is described as 'City name for a public weather hint,' and query is described as search text, leaving the agent unable to determine which field drives the geo 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 states that the tool returns latitude and longitude for a place and identifies Open-Meteo as the provider. It is not a tautology and conveys the core geocoding purpose, though it lacks an explicit verb and does not differentiate from closely related siblings like weather-hint.

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 a place' implies the tool should be used when geographic coordinates are needed, so usage is somewhat implied. However, there is no explicit when/when-not guidance and no mention of alternatives or prerequisites.

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

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

With no annotations provided, the description must carry the behavioral burden; 'parse' at least conveys a read-only, side-effect-free operation. It does not disclose failure behavior for invalid or non-GitHub URLs, and the presence of unrelated 'discarded' parameters is only visible in the schema, not in the tool description.

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

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

The description is a single efficient sentence with no filler and the main action front-loaded. It is appropriately concise, though a second sentence clarifying the relevant parameter 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 tool has 9 optional parameters, no annotations, and no output schema, so a one-line description is insufficient. It omits the return shape, how malformed or non-GitHub URLs are handled, and which of the many parameters actually participate in the parse, making misinvocation likely.

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 a GitHub-specific meaning that the generic url schema description ('HTTPS URL to normalize or cite') lacks. It does not clarify how the other eight optional parameters relate to the GitHub parse operation, leaving scope ambiguous.

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

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

The description names a specific action ('parse') and a concrete target ('owner and repo from a GitHub URL'), clearly differentiating this from other URL, file, and shape tools in the sibling list. It stops short of a 5 because it never states the output format or explicitly names 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 phrase 'from a GitHub URL' implies the tool should be used when an agent needs to extract owner and repo from a repository link. However, it gives no explicit when-to-use or when-not-to-use guidance and does not mention sibling tools like normalize-url or fetch-status as alternatives.

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 full behavioral disclosure burden. It only says 'Titles discarded' and otherwise does not reveal that most of the nine parameters appear irrelevant to the count, that the operation is read-only, or what kind of result 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 two short sentences with the core operation front-loaded. 'Titles discarded' is a useful clarification and there is no 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?

Given nine parameters, no annotations, and no output schema, this description is too thin. It does not state the return shape, whether all inputs are effectively ignored, or why so many unrelated parameters are accepted, leaving critical ambiguities for correct invocation.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds only a 'Titles discarded' hint, which is consistent with the title parameter's schema note, but it does not clarify whether any of the other eight parameters affect the count or 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 names a specific operation (count) and a specific resource (current Hacker News front-page stories), so an agent knows exactly what the tool does. The tool name reinforces this and distinguishes it from the sibling fetch, normalize, and validate 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 versus alternatives like web-fetch, browser-url-ok, or fetch-status. No conditions, exclusions, or alternative tool mentions are provided; the usage context is only implicit from the purpose statement.

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, but it only states a topic and never explains what happens when the tool is called, what it returns, or why parameters are described as discarded. This is essentially a label rather than a behavior 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 very short and free of filler, but it is an under-specified fragment rather than a complete structured description. Its brevity comes at the cost of missing essential information about behavior and parameters.

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

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

Given 9 optional parameters, no annotations, and no output schema, this one-phrase description leaves return values, invocation style, and parameter relevance almost entirely unspecified. It is not enough for an agent to call the 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 tool description adds no parameter-level meaning and does not bridge the gap between timezone names and parameters like ref, json, or path, but the schema itself documents each parameter explicitly.

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

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

The description identifies the resource as "Common IANA timezone names" and the context as "clock calls," so an agent can guess the tool likely supplies timezone names. However, it is a noun phrase with no verb like returns or lists, and the mismatch between that purpose and the input schema parameters is unexplained.

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" implies this tool is relevant when working with timezone or clock operations. There are no explicit exclusions and no named alternatives such as timezone or utc-time, so the guidance is only implied rather than 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?

No annotations are present, so the description carries the full behavioral disclosure burden. It reveals that the operation is a public network fetch and that the response is limited to group counts, but it omits error behavior, malformed robots.txt handling, rate-limit or auth expectations, and side-effect guarantees.

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 tool description is a single efficient sentence that front-loads the core action with no filler. The surrounding schema is bloated and mismatched, but the description text itself 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?

With nine parameters, no annotations, and no output schema, one sentence is insufficient context. The description does not say which input selects the site, what group counts looks like as a return value, or what happens when robots.txt is missing or invalid.

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 percent, the descriptions are mostly irrelevant: ref, city, feed, json, zone, and query have no connection to robots.txt, and url/host are not tied to fetching robots.txt. The tool description adds no mapping, so high coverage does not translate into usable 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?

States a specific verb (fetch), a specific target resource (public robots.txt), and a precise output scope (group counts only), so an agent can tell what the tool does. It does not explicitly differentiate from sibling fetch/validation tools such as web-fetch or fetch-status, but the robots.txt target is distinctive.

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 this tool is for retrieving robots.txt group counts rather than full content, which gives a rough when-to-use signal. It provides no explicit alternatives, exclusions, or prerequisites, leaving usage 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?

The description discloses an important behavioral trait: the key is discarded after the check. With no annotations present, this gives some transparency about data handling, but it does not describe return values, error behavior, or whether the tool performs any side effects beyond validation.

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 purpose is front-loaded and the discard behavior earns its place. This is appropriately concise, even if it underspecifies some 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 a seven-property input schema, no output schema, and no annotations, leaving a lot unexplained. The description does not clarify which property carries the Jira key, what constits a valid shape, or what the caller receives. It falls short of what an agent needs 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?

All seven input properties have schema descriptions, so schema coverage is high and the description does not need to restate them. However, the description's 'Jira issue key' does not map clearly to any parameter name, since no parameter named 'key' or 'issue' exists. The description adds no meaning beyond the schema.

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

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

The description states a specific verb and resource: it checks the shape of a Jira issue key. This distinguishes it from sibling tools like github-repo-shape or normal-ize-url, though it does not specify what the check returns. The phrase "Key discarded" hints at input disposal but is slightly terse.

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 instead of siblings like domain-shape or wiki-title-ok. The implied use case is 'when you need to validate a Jira issue key shape,' but no exclusions or routing conditions 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, the description carries the behavioral burden, and 'Body discarded' is a useful, non-obvious disclosure that the response will not include page content. However, it does not disclose whether a network request is made, error behavior, or how the many unrelated schema 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 two short, front-loaded sentences with no filler; both statements carry useful information. It is somewhat too terse for the nine-parameter schema, hence not a 5, but it is not verbose or poorly 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?

Given nine optional parameters, no annotations, and no output schema, the description is incomplete. It does not explain which parameter to populate, that other fields are ignored/discarded, or what form the HTTP status result takes, so an agent cannot reliably construct a call.

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

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

The schema has 100% description coverage, so the baseline is 3. Each parameter is individually described with discard behavior, but the tool description itself adds no parameter guidance and does not indicate that 'url' is the intended parameter for this 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 returns an HTTP status for a public library docs URL, which conveys the core operation. It does not distinguish this tool from sibling URL/status tools such as fetch-status or browser-url-ok, so it misses the sibling-differentiation component 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 on when to use this tool versus alternatives like fetch-status, normalize-url, or browser-url-ok. The description does not mention conditions, exclusions, or which URL types qualify, leaving the agent to guess.

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 transparency burden. 'Values discarded' is a genuinely useful behavioral disclosure, but the description does not explain error behavior, whether the count includes only top-level keys, or what the 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?

Two short sentences with no filler. The core purpose is front-loaded and the second sentence adds behavioral nuance, so the definition is concise without being bloated.

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 required parameters, no output schema, and no annotations, the description is too sparse. An agent cannot reliably determine whether to pass one or many parameters, where the JSON object comes from, or what the tool returns.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no per-parameter meaning and does not clarify how the nine optional fields relate to 'the JSON object' that is being counted.

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 and object: 'Count keys in a JSON object' and adds the useful constraint 'Values discarded.' It does not explicitly distinguish itself from sibling tools like validate-json, and the nine-parameter schema leaves room for confusion about which input is the JSON 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?

There is no guidance about when to use this tool versus alternatives, no exclusions, and no mention of how to choose among the nine optional parameters. The only usage signal is the implied 'use when you need a key count,' which is not explicit enough.

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

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

With no annotations, the description carries the burden of behavioral disclosure. It does disclose a key transformation: query and fragment are discarded. It does not, however, explain how the many unrelated input parameters are treated, whether validation can fail, or what happens for invalid URLs.

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

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

The description is two short sentences with no filler. The main function is stated first, and the key behavioral exception follows immediately. It is an exemplary concise and front-loaded description.

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, several of which appear unrelated to URL normalization (city, feed, json, zone, query). The description does not clarify whether those parameters are ignored, whether url is required, or what the return content looks like beyond the three components. Given no output schema and no annotations, an agent would struggle to know exactly how to invoke 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 tool description adds no parameter-level meaning beyond what the schema already states. In fact, the description only mentions 'URL' while the schema contains nine optional parameters, creating mild ambiguity about which inputs are relevant.

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 operation: 'Return origin, host, and path for a URL.' It also adds a concrete behavioral detail by saying query and fragment are dropped. It does not explicitly name sibling tools, but the verb and resource are specific enough to distinguish it from generic URL checkers.

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 'Query and fragment are dropped' implies this tool is appropriate when query/fragment are not needed, giving some usage context. However, it does not mention when to prefer alternatives or when not to use this tool, leaving routing mostly 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 full behavioral burden. It discloses only that no browser is launched, but does not explain what checking actually involves: network request, timeout, response status, side effects, or return behavior. This is thin for a tool with 9 parameters and no output 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?

Two short sentences, front-loaded with the core purpose and the key behavioral caveat. Every word earns its place; there is no fluff or repetition.

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 9-parameter tool with no annotations and no output schema. It fails to clarify what 'can be opened' means, what happens with the various optional inputs, what the tool returns, or how it relates to sibling URL/network tools.

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

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

Schema description coverage is 100%, so the schema already documents each parameter. The description adds no parameter-level meaning, which is acceptable under the baseline rule, but it also does not clarify how the many non-URL parameters relate to the stated purpose.

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

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

States a specific action and resource: checking whether a URL can be opened. The phrase 'No browser is launched' adds useful distinction from browser-based checks, though it does not explicitly name or differentiate the sibling tool 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 description implies use for URL openability checks without launching a browser, but it gives no explicit when-to-use or when-not-to-use guidance and does not mention alternatives such as browser-url-ok or fetch-status.

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 beyond the name is 'Query discarded,' which signals an ephemeral operation. With no annotations, the description carries the full burden, but it does not explain output format, how characters are counted, what happens with a missing query, or why the schema contains nine unrelated optional parameters.

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

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

The description is short, front-loaded with the main verb, and contains no filler. It could be more informative, but it is not bloated or repetitive.

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

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

For a tool with nine optional parameters and no output schema, this description is too sparse to support correct invocation. It does not state which parameter to provide, what the return value is, or whether the extra schema fields are accepted and ignored or should not be used.

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 parameters are already documented individually and the description need not repeat them. However, the description does not clarify that the 'search query' corresponds to the `query` parameter or explain the role of the other eight parameters.

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

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

The description states a specific action ('Count characters') and a specific object ('a search query'), so an agent can understand the core purpose. It does not explicitly differentiate this from sibling tools such as domain-shape, normalize-url, or validate-json, which also perform measurement/validation-like checks.

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

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

The description gives no guidance on when to choose this tool instead of one of the many shape-check or validation siblings. There is no mention of prerequisites, exclusions, or a preferred context, so the agent must infer when this tool is appropriate.

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

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

With no annotations, the description carries the full burden, but it discloses no behavioral traits: no side effects, no read-only guarantee, no return behavior, and no handling of inputs. The only hints are buried in the parameter schema, not in the tool description.

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

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

The description is a single brief sentence with no filler, but it is so underspecified that it reads as a tagline rather than a structured tool definition. It is concise, yet the brevity comes at the cost of essential 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 7-parameter tool with no annotations and no output schema, the description is severely incomplete. It fails to explain what inputs do, what outputs are produced, or how to invoke the tool, leaving an agent unable to select or call it correctly.

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

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

The input schema already provides rich descriptions for every parameter, including disposal behavior and resource type. The tool description adds no meaning beyond the schema, so the baseline of 3 applies because schema description coverage is high.

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 resource ('catalog of common HTTP status codes') but uses no verb and gives no sense of what the tool does for the agent. The seven unrelated parameters (ref, url, city, feed, host, json, path) conflict with the stated subject, making the actual purpose ambiguous and misleading.

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

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

There is no guidance on when to use this tool versus alternatives like fetch-status. The description only characterizes the content, not the invocation context, so an agent cannot judge whether it is appropriate for checking a URL, validating JSON, or looking up a code.

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 does disclose that the prompt is discarded, which is a valuable transparency cue. However, it leaves ambiguous whether any of the seven input parameters are actually used, especially since some parameter descriptions (e.g., 'url: HTTPS URL to normalize or cite') suggest they may be processed. It also says nothing about side effects or lack thereof.

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

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

The description is two short sentences with no filler. The core behavior is front-loaded, and the secondary note about the prompt being discarded is concise and to the point.

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

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

Despite its simple promise, the tool lists seven input parameters and has no output schema or annotations. The description does not explain why these parameters exist, whether they are ignored, or how to select between them. It also fails to position think-steps relative to the many specialized sibling tools, leaving an agent without enough context to invoke it 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 seven parameters already have individual descriptions in the input schema, so schema coverage is effectively complete and the baseline is 3. The tool description adds no parameter-level meaning and does not reconcile 'Prompt discarded' with parameters that appear to have distinct purposes, leaving the agent unsure which arguments, if any, should be supplied.

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, specific action: return a three-step thinking template. This distinguishes it from sibling tools such as normalize-url or validate-json, which perform data operations rather than returning a reasoning aid. The added 'Prompt discarded' further defines the tool's scope, though it is slightly cryptic.

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

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

No guidance is given for when to use this tool versus any alternative. 'Prompt discarded' implies the prompt is irrelevant, but the description never states under what conditions an agent should call think-steps or when it would prefer another tool. The extensive sibling list provides context but is not referenced.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says the tool returns the current time and says nothing about output format, invalid timezone handling, side-effect safety, or that most schema fields appear to be discarded.

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

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

The description is a single, front-loaded sentence with no filler. Every word earns its place, and the core scoping phrase 'named IANA timezone' appears immediately.

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 annotations and no output schema, while its input schema contains nine optional unrelated-looking fields. The description fails to tell an agent which field to populate, what the return value looks like, or how errors are reported, so it is not complete enough 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 baseline is 3 even though the description adds no parameter-level detail. The relevant 'zone' field is already documented as 'IANA timezone name to check,' but the description does not help reconcile the many unrelated optional parameters with the stated purpose.

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

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

The description clearly states the tool returns the current time for a named IANA timezone, which is specific and distinguishes it from siblings like utc-time and iana-zones. It lacks an explicit verb form and does not name alternatives, so it falls just 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 explicit guidance on when to use this tool versus its siblings or how to choose among the nine optional schema fields. Usage is only weakly implied by the phrase 'named IANA timezone'; no alternatives or exclusions are mentioned.

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

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

With no annotations, the description carries the full burden, but it only states the output and says nothing about side effects, argument handling, or return format. It fails to disclose that all parameters are discarded, as indicated in the schema parameter descriptions, which an agent would need to know to avoid passing irrelevant arguments.

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

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

The description is extremely short and front-loaded, which is appropriate for a simple time tool. It loses a point for being so terse that it omits useful context such as 'returns' and 'no arguments needed'.

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 annotations and no output schema, the description is incomplete: it does not specify the timestamp format, does not explain why nine optional parameters exist, and does not state that all arguments are ignored. An agent could not fully predict the call behavior from this description alone.

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

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

Schema description coverage is 100%, so the baseline is 3. The description itself adds no parameter meaning, but the schema already documents each parameter and repeatedly notes that values are discarded, so the description does not need to compensate.

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 tool's output: the present time in UTC. It is concise and understandable, though it lacks an explicit verb and does not differentiate utc-time from the sibling timezone 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 guidance is given about when to call this tool or when to prefer an alternative such as timezone. The description does not mention that all input parameters are optional and essentially ignored, which is important usage context given the nine-parameter 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?

Without annotations, the description carries the behavioral disclosure burden. It does reveal a key trait: 'The body is discarded,' indicating the tool does not persist or transform the input. However, it does not explain what happens on invalid JSON, whether it returns a boolean/error, or any other side-effect-related details.

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

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

Two short sentences with no filler. The core purpose is front-loaded, and the behavioral note about discarding earns its place. This is a model of concise description for a simple 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?

The schema lists seven unrelated parameters, yet the description only mentions 'a body' and gives no indication of which parameter is relevant, how to invoke the validation, or what the result looks like. With no output schema and no annotations, this leaves too much unspecified for the agent to call the 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?

The schema covers every parameter with its own description, so baseline is 3. The description itself adds little parameter-level meaning beyond restating that the body is discarded; it does not clarify which parameter should hold the JSON or how the other schema fields relate to the validation, though the 'json' parameter description already covers that.

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

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

The description names a specific action ('Check whether a body is valid JSON') and clearly identifies the resource. It is distinct from sibling validators by focusing on JSON, but the term 'body' is not explicitly mapped to a schema parameter, leaving some ambiguity about what exactly is passed.

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

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

The description gives no guidance on when to use this tool versus the many sibling validators or shape-checking tools. There are no explicit conditions, exclusions, or alternative tool names mentioned, so the agent must infer 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'via Open-Meteo,' implying an external API call, but does not disclose that most of the 9 schema parameters are discarded, that only city is truly relevant, or any failure/rate-limit behavior. The schema already hints at discarded parameters, but the description adds little behavioral context.

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

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

The description is a single, direct sentence with no filler. It front-loads the core purpose. However, given the tool's 9-parameter schema, a bit more structure (e.g., noting that only city is used) would make the sentence more helpful without sacrificing conciseness.

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

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

The tool has 9 parameters, no annotations, and no output schema, yet the description is only one sentence. It does not explain the role of the other parameters, what input an agent should supply, or what the return value looks like. An agent seeing the broad schema could easily be confused about whether to pass url, path, or city. The description is under-specified for the tool's actual complexity.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds minimal parameter semantics: it implies the city parameter is key, but the schema already says 'City name for a public weather hint.' It does not clarify how the other parameters relate to the weather functionality beyond what their own descriptions already state.

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: 'Current temperature for a city via Open-Meteo.' This clearly differentiates the tool from siblings like geo-hint or lib-docs-hint and tells an agent exactly what the tool returns.

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

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

No guidance is provided about when to use this tool versus alternatives. It does not mention exclusions or conditions that would route an agent to a sibling tool, so the agent must infer usage solely from the purpose statement.

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 behavioral burden and does disclose two meaningful constraints: the body is discarded and the URL must be public. However, it leaves unstated details such as response format, redirect/error handling, and any limits, so transparency is 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 one front-loaded sentence with no filler. The statement that the body is discarded is a valuable behavioral warning and 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?

For a tool with nine optional parameters, no output schema, and no annotations, this one-line description is under-specified. It does not describe the return shape or clarify how the extra schema parameters (ref, city, query, etc.) relate to the URL-fetching purpose, so an agent lacks enough context to invoke it 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 coverage is 100%, so the description is not required to re-document the nine parameters. It adds no extra meaning about which parameter is primary, and the schema's own url description (normalize or cite) is not reconciled with the fetch behavior, leaving the baseline at 3.

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 outcome (HTTP status and content type for a public URL) and adds the key exclusion that the body is discarded. This makes the core purpose clear, though it does not differentiate it from similar siblings such as fetch-status or browser-url-ok.

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

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

There is no guidance on when to use this tool versus alternatives, and no conditions or exclusions are mentioned. The only implicit signal is the return type, which is weak given several sibling tools appear to overlap with URL/status checking.

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 burden of behavioral disclosure. It does reveal that the title is discarded, but it does not explain what the tool returns, what happens on failure, or whether any network request is made to Wikipedia.

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 fluff, which is good, but it is too terse for a seven-parameter tool with no annotations. The second sentence adds a behavioral detail, but the overall terseness leaves critical invocation details missing.

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

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

Given the lack of annotations, the absence of an output schema, and an input schema that does not align with the description, this definition is not complete enough for an agent to use confidently. It fails to explain which input carries the Wikipedia title or what the success/failure response 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?

The schema documents seven unrelated parameters, none of which is named 'title', while the description repeatedly refers to a title being checked and discarded. This mismatch means the description does not help an agent map its stated input to any actual parameter, undermining correct invocation despite the schema having per-field 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 states a specific operation: checking whether a Wikipedia title exists, which distinguishes it from sibling shape/URL/JSON tools. However, the input schema has no 'title' parameter, which creates ambiguity about how the caller supplies the actual title.

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

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

The description gives no guidance on when to choose this tool over alternatives or when not to use it. The purpose can be inferred, but no explicit context, prerequisites, or exclusions are provided.

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