Pacific/Port_Moresby clock

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

The description discloses that task text is discarded and that the tool returns setup/instruction material, which is useful. It does not mention side effects, errors, or network/remote behavior beyond the phrase 'remote MCP hops', but with no annotations this is only partial 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?

The description is short, direct, and front-loaded with the main action. It avoids unnecessary prose and fits in two sentences, though the unexplained 'Monid' and the list of outputs feel slightly compressed.

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 lists output components, but it does not tie them to the nine provided parameters or explain the intended call pattern. With no output schema and no parameter guidance, the tool is not fully contextualized for an agent.

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 nine string parameters, but the tool description does not explain any of them, and the schema descriptions are generic boilerplate such as 'discarded after the shape check' or 'no disk access'. The description says task text is discarded, yet no parameter is identified as the task text, so an agent cannot determine what input, if any, is meaningful.

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 specific verb and resource: 'Find a public pay-per-call tool gateway (Monid)' and lists the returned artifacts, so an agent can tell what the tool is for. It is slightly cryptic because 'Monid' is not explained, but the core purpose is clear.

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

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

There is no guidance about when to choose this tool over alternatives or what kind of task should trigger it. The phrase 'Task text discarded' hints at an input convention, but it does not explain when to call the tool.

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 usefully discloses that no browser is launched, which is a meaningful side-effect boundary. However, with no annotations, it leaves unclear whether the tool makes network requests, follows redirects, or is purely syntactic; it also fails to mention that most parameters are 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?

Two terse sentences with no filler. The core purpose is front-loaded and the side-effect clarification is immediately useful.

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

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

For a tool with seven parameters, no output schema, and no annotations, the description is too thin. It does not explain the return value, how the many discarded fields relate to the URL check, or what 'can be opened' means operationally.

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 properties have their own descriptions, so the schema is largely self-documenting, which supports the baseline score of 3. The tool description adds no parameter-level semantics and even narrows focus to 'URL' despite the schema accepting several unrelated fields.

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.' The added sentence 'No browser is launched' helps distinguish it from likely siblings such as playwright-url-ok. However, it does not acknowledge the schema's heterogeneous set of parameters, so the stated purpose is narrower than the actual input surface.

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

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

There is no explicit guidance on when to use this tool versus alternatives like playwright-url-ok or normalize-url. The 'No browser is launched' line implies a lightweight or non-rendering check, but no alternative is named and no condition for choosing this tool 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?

With no annotations, the description carries the full behavioral burden, but it only says the expression is discarded and gives no return value, side effects, permissions, or failure behavior. 'Expression discarded' hints at behavior but is too terse and unclear to be actionable.

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. It is under-specified for the tool's apparent complexity, but it is not verbose or poorly ordered; the sentences both carry some content.

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

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

Despite having seven parameters, no annotations, no output schema, and many closely related sibling tools, the description provides almost no contextual information: no return shape, no typical inputs, no relationship to sibling tools, and no indication why the schema parameters are relevant. It is not enough for an agent to reliably select or invoke the tool.

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

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

The schema descriptions cover all parameters, so a baseline of 3 would normally apply; however, the description introduces an 'expression' concept that maps to no schema property, and the listed parameters (ref, url, city, feed, host, json, path) are all described as shape checks unrelated to arithmetic. This mismatch makes the description actively confusing rather than semantically 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 says the tool evaluates 'a+b style arithmetic,' which is a specific verb and resource, but it is undermined by the schema, which contains no arithmetic expression parameter and instead lists unrelated shape-check fields. The phrase 'Expression discarded' adds ambiguity about whether the tool actually evaluates or merely checks a 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 on when to use calc-eval instead of the many sibling shape-check and validation tools, nor any exclusions or prerequisites. Usage must be inferred entirely from the short arithmetic phrase.

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 includes one behavioral note ('Page content is not stored') implying a read-only operation, but it does not disclose potential network side effects, rate limits, or failure modes. The significant mismatch between the description and the actual schema parameters (which include unrelated fields like city, json, query) further undermines transparency about what the tool actually does.

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

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

The description is a single, focused sentence that efficiently communicates the primary output. However, it omits any mention of the input parameters or the relationship between the tool name and its function, which slightly detracts from its completeness while remaining concise.

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

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

Given the complexity of 9 optional parameters and no output schema, the description is insufficient. It does not explain which parameters are relevant for a URL citation task, how they relate to the stated output, or what the response format is. The agent would be uncertain about how to properly invoke this 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?

The schema provides descriptions for all 9 parameters (100% coverage), so the baseline is set to 3. The tool description itself adds no additional meaning to any parameter, and the parameter descriptions appear generic and unrelated to URL handling, but the description is not responsible for repeating schema content. This meets the minimum adequacy threshold.

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 host, scheme, and HTTP status for a URL, which is a concrete purpose. However, it does not differentiate this from sibling tools like fetch-status or normalize-url that likely perform similar URL inspection tasks, leaving ambiguity about when to select this one.

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

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

The description provides no guidance on when to use this tool versus alternatives. It lacks any mention of prerequisites, typical use cases, or conditions under which it should be preferred, 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?

No annotations are present, so the description carries the full burden. It does disclose one meaningful behavioral trait: 'No identifiers are retained,' which signals privacy-safe handling and is reinforced by the schema's 'discarded' notes. However, it does not disclose whether the operation is read-only, whether it makes network calls, what it returns, or how the classification works.

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 primary idea is front-loaded. The privacy note earns its place. It is concise to the point of being underspecified, but the writing itself 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?

With eight heterogeneous parameters and no output schema, the description is insufficient. It never defines the classification taxonomy, expected input selection pattern, or return shape. The privacy statement is helpful but does not give an agent enough context to call the tool correctly.

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

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

The tool-level description contains no parameter-level explanation, such as which field to provide or whether parameters are mutually exclusive. The input schema already documents all eight parameters well, so the high schema coverage justifies a baseline 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?

Description says 'Show how this request is classified' — a verb and object are present, but 'this request' and 'classified' are undefined. It does not distinguish compatibility from sibling shape-checking tools like domain-shape, validate-json, or normalize-url. The purpose is understandable at a high level but vague.

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

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

The description gives no guidance on when to use this tool versus any sibling alternative. There are no explicit conditions, exclusions, or context such as 'use this when you need to classify an arbitrary request shape.' An agent must infer applicability from the parameter names.

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. It usefully discloses that WHOIS/ownership data is not fetched or returned, which is meaningful context. It does not explicitly state whether the operation is purely local/read-only or describe any other side effects, though the simple wording implies a pure transformation.

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. The key action and an important exclusion are both front-loaded, and 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?

For the core hostname-splitting use case, the description plus the schema comments are enough to call the tool. However, there is no output schema, no annotations, and the schema exposes several heterogeneous fields (url, city, feed, json, path) that the description never acknowledges. This leaves some ambiguity about the tool's full accepted inputs and expected return.

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 in the input schema already has a descriptive comment, so schema coverage is high and the description does not need to restate parameter details. The description adds only a loose connection to the 'host' parameter and does not explain the other fields, but the schema covers those adequately.

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

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

The description states a specific verb and resource: 'Split a hostname into labels'. The added 'without WHOIS or ownership data' clarifies an important scope boundary. However, it does not explicitly orient it against sibling shape tools, and the broader input schema suggests more behaviors than just hostname splitting.

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

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

The description implies use when a hostname label split is needed and ownership/WHOIS enrichment is not. It does not name alternatives or provide explicit when-to-use/when-not-to-use guidance, so it is adequate but leaves the routing decision 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?

Without annotations, the description carries the behavioral burden, and it does so well by disclosing the HTTP method (HEAD), the allowed target scope (public URL), and the restricted output (status only). It does not mention redirects, timeouts, or that extra schema fields are ignored, but those are secondary for a simple status check.

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: 'HEAD a public URL and return status only.' Every word carries meaning, and the core behavior is stated before any need for inference.

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 read-only status check, the description covers the core action, but the tool exposes seven unrelated-looking parameters and has no output schema or annotations. The mismatch between the description and the schema descriptions means the agent is not fully equipped to invoke the tool confidently without additional inference.

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

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

All seven parameters have schema descriptions, so the baseline is 3 even though the tool description adds no parameter-level detail. However, the schema descriptions are inconsistent with the tool's HEAD-status purpose—especially 'url: HTTPS URL to normalize or cite'—which leaves ambiguity about which parameter is the actual target.

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

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

The description states a specific verb and resource: HEAD a public URL and return status only. This clearly distinguishes fetch-status from content-fetching tools like web-fetch and from URL-normalization siblings, and it makes the output scope explicit.

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 clear use case: checking the HTTP status of a public URL without retrieving content. However, it does not explicitly state when not to use this tool or name any alternative sibling tools such as web-fetch or browser-url-ok, leaving some selection judgment 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, the description carries the full behavioral burden, but only states 'Path discarded.' It does not disclose whether the tool performs network access, what it returns, how invalid URLs are handled, or that many other parameters are also effectively discarded. The stated path behavior also conflicts with the schema's 'File path to check' description.

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

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

The description is extremely short and front-loaded, with no filler. It earns a high score for economy, but the second sentence is cryptic and omits essential context for a 9-parameter tool, so it is not a perfect 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 no annotations, no output schema, and 9 optional parameters, the description is far from complete. It does not state the return value, which parameter matters, what 'shape' means, or any error behavior, leaving an agent without enough information to invoke 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 100% of parameters, so the baseline is 3, but the description's 'Path discarded' actively conflicts with the 'path' parameter description 'File path to check.' The description also fails to clarify which parameter is the primary Figma URL and whether 'url' is actually the relevant input.

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

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

The description names a specific verb ('parse') and a specific resource ('Figma file URL'), making the tool's core purpose clear. It differentiates implicitly from sibling shape tools like github-repo-shape or jira-key-shape, but it does not explicitly name an alternative or state what the parsed result is.

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 'Figma file URL' implies this tool is for Figma URLs, giving some usage context. However, there is no explicit guidance about when to prefer this over siblings like normalize-url or browser-url-ok, and no when-not-to-use guidance.

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 behavioral disclosure, and it does state a meaningful behavior: 'No disk access.' This tells an agent the tool is a safe, side-effect-free lexical check. It does not reveal the return type or what exactly counts as 'safe', but the explicit no-disk-access claim is genuine and useful.

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 exactly two short sentences, front-loaded with the core purpose and containing no filler. Every word contributes either the action or the key safety constraint.

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 validation tool, the core purpose is clear, but the description lacks a definition of what 'safe' means, what the return value represents, and how the agent should treat the many schema parameters not referenced in the description. With no output schema and no usage guidance, an agent might know what the tool is checking but not fully what a successful or failed result 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 input schema already documents all seven parameters with clear descriptions, so schema co-verage is high and the description adds no parameter-level detail. The description highlights 'path' while the schema includes many unrelated params, but each param's purpose is still self-explanatory. Baseline 3 applies because the description does not improve semantic understanding 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 action ('Check') on a specific resource ('a path') and clarifies the safety-focused purpose. It is clearly distinct from sibling tools that handle URLs, domains, JSON, or wiki titles. The qualifier 'looks safe' plus 'No disk access' makes the tool's role immediately understandable.

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 siblings or when to prefer another validator. The description does not mention conditions, prerequisites, or exclusions. The only implied usage is the path-safety scenario, which is better stated than not, but still leaves 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 present, the description carries the full burden of explaining behavior, but it only reveals that coordinates come from Open-Meteo. It does not disclose whether the call is read-only, whether it makes an external network request, what inputs affect the result, or how the returned data is shaped.

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 fluff-free phrase that front-loads the output and the data source. Its brevity is easy to scan, even though that brevity contributes to under-specification elsewhere.

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

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

There are no output schema or annotations to compensate, and the input schema contains seven varied properties with no required fields. The description does not explain which property to use for the place, what the return value looks like, or how failures should be handled, making this significantly incomplete for reliable invocation.

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

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

All schema properties already have detailed descriptions, so the baseline is higher and the description does not need to restate them. However, the description also does not clarify which of the seven parameters represents the place, leaving the mapping from purpose to inputs implicit.

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

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

The description indicates that the tool returns latitude and longitude for a place using Open-Meteo, which establishes its basic function. However, it is a noun phrase rather than an explicit action, and it does not distinguish geo-hint from related siblings like weather-hint or timezone.

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

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

There is no guidance about when to use this tool instead of alternatives such as weather-hint or web-fetch, and no conditions or prerequisites are stated. The agent would have to infer usage from the tool name and input schema rather than from the description.

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

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

No annotations are provided, so the description must disclose behavior on its own. It states 'parse' but does not describe the return shape, behavior for invalid or non-GitHub URLs, or whether any normalization or validation happens, which the name 'shape' hints at.

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

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

The description is a single front-loaded sentence with no filler, which is good. However, given the nine-parameter schema and the implicit 'shape' behavior, a bit more structure, such as naming the operative parameter, would make it appropriately sized.

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

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

For a tool with 9 optional parameters, no required parameters, no output schema, and no annotations, a one-sentence description is incomplete. An agent cannot tell which optional input to populate, what the result looks like, or why the schema exposes unrelated fields.

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

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

Schema coverage is 100%, but the schema descriptions are misaligned: 'url' is described as an HTTPS URL to normalize or cite rather than a GitHub repo URL, and many other optional parameters (city, feed, host, json, path, zone, query) are unrelated to parsing owner/repo. The description does not identify which parameter actually drives the parse.

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 precise verb and resource: parse owner and repo from a GitHub URL. This is specific enough to distinguish the tool from siblings like normalize-url or figma-url-shape, even without an explicit comparison.

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 instead of siblings such as normalize-url, browser-url-ok, or figma-url-shape, and no mention of exclusions or conditions. The only implicit signal is 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, the description only reveals a read-like counting operation and mentions that some values are discarded. It does not disclose return format, error behavior, or whether network access is 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 very short and front-loaded with the core action and resource. However, the final clause 'Titles discarded' is unclear and could be removed or clarified without adding bulk.

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 omits the output shape (e.g., integer vs. JSON) and fails to explain the role of the nine optional parameters. Given the tool's minimal schema and absent output schema, this is a notable 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?

The schema parameters (ref, url, city, feed, host, json, path, zone, query) have descriptions like 'discarded after the shape check' that are unrelated to counting HN stories. Although every parameter has a description, those descriptions do not explain how, if at all, they affect the tool's behavior.

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 ('Count') and resource ('current Hacker News front-page stories'), distinguishing it from URL/status tools among siblings. The phrase 'Titles discarded' is slightly ambiguous but does not obscure the main purpose.

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

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

No guidance is provided about when to use this tool over alternatives or what inputs are meaningful. All nine parameters are optional and described as discarded, leaving the agent to guess whether any arguments 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?

With no annotations and no output schema, the description is the sole source of behavioral info, yet it only names the content without describing side effects, return format, or parameter effects. The generic-looking input schema with many unexplained parameters adds further confusion instead of 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?

The one-sentence description is efficient and front-loaded, with no filler. However, the extreme brevity comes at the expense of needed operational detail, making it more under-specified than positively 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 description is not complete enough for an agent to call the tool correctly. It does not state whether parameters are required, what the output looks like, or how this relates to sibling clock tools. The mismatch between the description and the generic schema compounds the incompleteness.

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

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

Schema descriptions cover 100% of the eight parameters, so the baseline is 3. The tool description adds no information about how the parameters relate to the timezone-name resource, leaving the connection between the parameters and the tool's purpose entirely unclear.

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

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

The description identifies the resource (IANA timezone names) and a purpose (clock calls), but it lacks an explicit verb such as 'list' or 'returns', leaving the exact operation ambiguous. It slightly distinguishes from sibling timezone tools by focusing on the names themselves, but not enough for an agent to know what invoking the tool produces.

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 offers no guidance on when to use this tool over sibling tools like 'timezone' or 'utc-time' and no conditions or exclusions. The phrase 'for clock calls' implies a use case but does not state when-not or 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?

With no annotations, the description carries the full behavioral disclosure burden. It does disclose the network fetch of a public resource and the output restriction to 'group counts only', but it fails to mention which input parameter drives the fetch, what happens on missing robots.txt, or network/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?

A single, front-loaded sentence with zero filler. It states the action, target, and output constraint efficiently.

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

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

For a network-fetching tool with no output schema and a poorly aligned generic input schema, the description is too minimal. It does not specify which parameter to populate, what 'group counts' means in the response, or error handling behavior, making successful invocation uncertain.

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

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

The input schema has high coverage, so the baseline is 3, but the description adds no mapping between its purpose and the eight parameters. The schema descriptions like 'HTTPS URL to normalize or cite' and 'discarded after the shape check' do not clarify which parameter should hold a robots.txt URL, leaving agents to guess whether to use url, host, or another 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?

The description states a specific verb ('Fetch'), resource ('public robots.txt'), and output ('group counts only'), which clearly distinguishes it from generic siblings like web-fetch or fetch-status. However, 'group counts' is slightly ambiguous and no explicit contrast with sibling tools is provided.

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

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

There is no guidance on when to use this tool versus alternatives such as web-fetch, fetch-status, or normalize-url. The description implies a use case but lacks any context, prerequisites, or conditions for selection.

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

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only states that the key is discarded. It does not clarify whether the check is local, whether it contacts Jira, or what the tool returns (e.g., boolean, error message). This is a significant gap for a validation tool.

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

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

The description is a two-sentence, front-loaded statement with no waste. It states the action and the disposal behavior without any filler, which is ideal 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?

Given no output schema, no annotations, and a seemingly mismatched multi-parameter schema, the description is far from complete. It fails to explain what the tool accepts, what it returns, or why parameters like 'city' or 'json' are present. An agent would be unable to reliably invoke this tool correctly based on the description alone.

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

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

The description mentions a 'key', but none of the seven schema properties (ref, url, city, feed, host, json, path) is explicitly a Jira key. The schema descriptions themselves are unrelated to Jira (e.g., 'Git ref name', 'City name'), and the description does not map its 'key' to any parameter. An agent cannot determine which argument to supply, making this a critical semantic gap.

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

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

The description identifies a specific verb ('Check') and a clear resource ('Jira issue key shape'), which distinguishes it from sibling shape-checker tools like 'domain-shape' and 'github-repo-shape'. The name and description reinforce each other, making the tool's core function unmistakable.

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: an agent would use this when it needs to validate the format of a Jira key. However, there is no explicit guidance about when to choose this over alternatives, nor any mention of prerequisites or fallback options.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It does reveal one important trait (the body is discarded), implying only the HTTP status is meaningful. But it omits whether an HTTP request is sent, whether the operation is read-only, what happens for invalid URLs, and how the many schema parameters are related to the status check.

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

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

The description is exceptionally short and front-loaded, with every word contributing to the core idea. It avoids redundancy, but its brevity borders on under-specification for a tool with this many parameters. Still, as a concise statement it is effectively 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 seven parameters, no output schema, and no annotations, the description is severely inadequate. It does not explain which parameter to use, what the response contains beyond 'HTTP status', or how the other params factor in. An agent cannot confidently invoke the tool correctly based on this definition.

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

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

The schema already provides individual descriptions for all seven parameters, so baseline is 3 even without description-level parameter info. The description does not add semantic value and actually creates confusion by mentioning 'public library docs URL' while the 'url' param is described as 'HTTPS URL to normalize or cite', not as the target of an HTTP status check.

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

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

The description states a specific verb and resource: returning the HTTP status for a public library docs URL, with the body discarded. This is clear at a surface level and hints at a read-only status check, which aids in distinguishing from content-fetching tools like web-fetch. However, it does not explicitly differentiate from sibling tools such as fetch-status or browser-url-ok, and the broad param list creates ambiguity about the exact intended resource.

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

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

There is no guidance on when to use this tool versus alternatives, no exclusions, and no mention of preferred input types. The description simply states what it does without explaining the circumstances under which an agent should select it over similar tools, leaving usage entirely to inference.

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

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

With no annotations, the description carries the full burden. 'Values discarded' hints at ignoring values, but it does not mention output format, errors, permissions, side effects, or whether the tool mutates anything. This is insufficient for safe invocation.

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

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

The description is extremely concise and front-loaded with the action. However, it omits critical interface details, so the brevity comes at the cost of completeness. Still, there is no fluff or unnecessary wording.

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

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

Given no output schema and no annotations, the description must explain expected input and output behavior, but it only provides a generic JSON counting operation. It fails to mention return value, edge cases (e.g., empty object, nested keys), error handling, or how the 9 declared parameters are 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?

Although all parameters have schema descriptions, those descriptions (e.g., 'JSON text to validate', 'Search text; discarded after the length check') conflict with the tool's stated purpose of counting JSON keys. The description adds no mapping between the conceptual JSON object and the 9 string parameters, leaving parameters highly 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 states a clear verb ('Count') and resource ('keys in a JSON object'), but the input schema exposes 9 unrelated string parameters (ref, url, city, feed, host, json, path, zone, query) with no obvious JSON object input. The purpose is therefore not actionable or aligned with the declared interface.

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

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

No guidance is given on when to use this tool versus similar siblings like validate-json or search-query-len. There are no examples, conditions, or context-dependent instructions.

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 query and fragment are dropped; the description does not reveal that most schema parameters are discarded or ignored, and with no annotations there is no information about side effects, access constraints, or rate limits.

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

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

The main description is a concise single sentence with no unnecessary words, but the surrounding parameter list adds significant clutter and the description is too sparse to fully support the tool's apparent scope.

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

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

With nine parameters, no output schema, and no annotations, the description is far from complete: it does not specify which parameters are required or relevant, what the output format is, how invalid URLs are handled, or how the unrelated parameters are treated.

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

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

Although every parameter has a description, most are semantically inconsistent with the purpose: 'ref', 'city', 'feed', 'json', 'path', 'zone', and 'query' appear unrelated to URL normalization, and phrases like 'discarded after the shape check' or 'public weather hint' do not explain how they affect the returned origin, host, or path.

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 ('Return origin, host, and path') and mentions that query and fragment are dropped, but it conflicts with the broad parameter list containing ref, city, feed, json, path, zone, and query, and does not clarify which inputs actually influence the result.

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 instead of any of the 26 sibling tools, and no mention of use cases, alternatives, or conditions that would make this tool the appropriate 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?

With no annotations, the description carries the full burden of behavioral disclosure. It does disclose that no browser is launched, which is important, but it does not clarify whether a network request is made, what 'opened' means, or what happens to the provided parameters. The schema hints that many values are 'discarded', but the tool description itself omits these 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 two short sentences with no wasted words. The core purpose is front-loaded, and the important behavioral caveat about not launching a browser is stated directly and efficiently.

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

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

Despite the simple phrasing, the tool has nine optional parameters, no output schema, and no description of return values or selection criteria. An agent cannot confidently determine which parameter to pass or what the tool will return. The description is incomplete for the actual complexity of the input schema.

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

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

Schema coverage is 100%, so the parameter descriptions already document every field. The tool description adds no additional parameter meaning or guidance on which of the many optional fields should be provided. Baseline 3 applies because the schema does the heavy lifting, but the description fails to clarify why parameters like city, feed, json, and path are accepted for a URL-checking 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 function: checking whether a URL can be opened. The added sentence 'No browser is launched' distinguishes it from browser-url-ok and other browser-dependent siblings. However, 'can be opened' is slightly ambiguous about whether this is a syntactic or network-level 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 description gives no explicit guidance about when to use this tool versus siblings like browser-url-ok, fetch-status, or normalize-url. The 'No browser is launched' line implies a lightweight check, but there is no explanation of the intended use case or when an alternative would be more appropriate.

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

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

With no annotations available, the description carries the behavioral burden. It does disclose that the query is discarded, which is a meaningful privacy-related behavioral trait. However, it never states what the output format is, whether anything is returned besides a count, or whether any side effects exist beyond discarding the input.

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

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

The description is very short and front-loaded, with no filler. However, it is under-specified rather than efficiently complete, and the second sentence 'Query discarded' adds behavior but leaves unanswered questions about the return value and parameter mapping.

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

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

Given seven input parameters, no output schema, and no annotations, the description is too incomplete. An agent cannot determine which parameter to pass, what the tool returns, or how to interpret the result. The tool's behavior is only partially explained.

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 description refers to a 'search query,' but none of the seven schema properties is named or described as a query. The parameter descriptions are present but do not connect to the core functionality. The description therefore fails to clarify which parameter an agent should provide or how the schema properties map to 'a search query.'

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 specific action and resource: 'Count characters in a search query.' This is clear on its face and is distinguishable from siblings like memory-key-count or hn-front-count. However, it does not explicitly contrast itself with any sibling, and the term 'query' is not obviously represented in the input 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?

There is no guidance about when to use this tool versus alternatives, and no mention of restrictions or prerequisites. The sentence 'Query discarded' implies a non-persistent, low-risk operation, but that is the only contextual hint and it does not explain when this tool should be selected.

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 for behavioral disclosure. 'Short catalog' implies a read-only informational output, but it does not state that inputs are effectively ignored, that no side effects occur, or what the return shape will be.

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 that conveys the core subject without filler. It is appropriately sized for a simple catalog 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?

Despite the simple purpose, the tool has seven unrelated-looking input parameters and no output schema or annotations. The description alone does not explain whether any parameters should be provided or how the catalog relates to them, leaving an agent with insufficient 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?

The schema provides 100% parameter coverage with descriptions, so the baseline is 3. The tool description adds no parameter-level meaning, but the schema already explains each field, even noting that values are discarded after checks.

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 resource: a short catalog of common HTTP status codes. It distinguishes the tool from siblings like fetch-status by indicating this is a reference catalog rather than a status checker, though it doesn't explicitly contrast with them.

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

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

There is no guidance on when to use this tool versus alternatives, nor any mention of whether the seven input parameters are needed or optional. The schema hints that most parameters are discarded after checks, but the description itself gives no 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, the description must carry the full behavioral burden. It does disclose one key trait: the prompt is discarded. However, it does not clarify what happens to the seven input parameters, whether any network calls are made, whether validation can fail, or what the returned template actually 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?

Two short sentences with no waste. The verb and resource are front-loaded, and the important 'Prompt discarded' behavior is stated explicitly. It is appropriately concise for the content it contains.

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 seven parameters, no annotations, no output schema, and a one-line behavioral note. Agents have no idea whether the parameters are honored, what a successful response looks like, what errors can occur, or why this tool exists alongside numerous shape-check siblings. This is severely incomplete.

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

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

The schema descriptions already cover every parameter in detail, so schema_description_coverage is high and the baseline is 3. The tool description does not add parameter-level meaning beyond the schema, but it also does not need to because each property has its own description.

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: it returns a three-step thinking template. It is a specific action rather than a tautology of the name. However, it does not explain what a 'thinking template' looks like, so the purpose is understandable but underspecified.

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. The phrase 'Prompt discarded' implies it is not an executing agent, but the description never says when an agent should call it, what problem it solves, or when it should prefer an alternative.

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 burden of behavioral disclosure. It conveys a read-only 'current time' lookup, but says nothing about what happens for invalid timezone names, the exact return format, or whether the tool performs any validation or network access.

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

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

The description is a single, front-loaded sentence with no filler words. It is appropriately concise for the core idea, though the terseness contributes to the lack of parameter guidance 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?

For a tool with seven unrelated-looking schema fields, no annotations, and no output schema, a single sentence is far from sufficient. An agent cannot determine which parameter is the timezone, what format is expected, or what the response will look like, making the tool effectively uncallable from this definition.

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

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

The input schema lists several string parameters (ref, url, city, feed, host, json, path), but none of them is an IANA timezone. The description mentions 'named IANA timezone' without mapping it to any parameter, so it adds conceptual meaning but no usable parameter guidance and fails to compensate for the severe schema 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 clearly states that the tool returns the current time in a named IANA timezone, which is a specific resource and differentiates it from sibling tools like utc-time. However, it does not explicitly mention how this relates to the sibling 'iana-zones' tool or which of its inputs carries the timezone.

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 should be used when a non-UTC, named IANA timezone is needed, and the sibling 'utc-time' suggests the main alternative. However, it gives no explicit guidance about when to prefer utc-time or iana-zones, and it does not explain how to supply a valid timezone.

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 'Current UTC timestamp.' It does not disclose that the nine input parameters appear to be discarded after validation, nor does it explain output format, side effects, or whether parameters affect the result. An agent cannot infer the intended behavior with parameters present.

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, containing only the essential phrase 'Current UTC timestamp.' It is concise and free of filler, though the brevity starts to hurt completeness when considering the complex 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?

The tool has nine optional parameters and no output schema, yet the description provides no context for how parameters relate to the tool's function, whether they are ignored, what the return value looks like, or how to use this alongside siblings like 'timezone' or 'iana-zones'. This is severely incomplete for a tool with this parameter 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%, and the schema itself documents each parameter in detail, including that most are discarded after checks. The description adds no parameter-level meaning beyond the schema, so a baseline of 3 is appropriate.

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

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

The description clearly states the tool returns the current UTC timestamp, which is specific enough to identify the tool's core purpose. However, it does not explicitly differentiate itself from sibling tools like 'timezone' or 'iana-zones', and 'timestamp' could be slightly ambiguous regarding format.

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. The description does not mention whether it should be used for current time, timezone conversion, or formatting, and it does not provide any exclusions or conditions for alternative 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?

The description reveals only that the body is discarded, implying no persistent side effects, but it does not explain what happens with invalid JSON, return format, error behavior, or whether other parameter values affect validation. With no annotations, much behavioral information is missing.

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 purpose. It avoids extraneous detail and wasted words, making it appropriately sized for a simple validate action.

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 incomplete for the tool's complexity. It does not explain what 'body' refers to, how the 9 parameters should be used, what output the caller should expect, or how validation errors are reported. An agent would struggle 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?

Although 100% of schema parameters have descriptions, those descriptions are generic and largely irrelevant to JSON validation (e.g., city name, timezone, search text). The tool description adds no parameter guidance, and the schema descriptions do not clarify how 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?

The statement 'Check whether a body is valid JSON' gives a clear action and target, but 'body' is ambiguous and the tool's 9 unrelated parameters do not clarify what body or JSON input is expected. It does not distinguish itself from sibling validation 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?

No guidance is provided about when to use this tool instead of sibling validators like file-path-ok, browser-url-ok, or jira-key-shape. The description does not mention use cases, prerequisites, or 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 burden for behavioral disclosure. It says the tool returns current temperature but does not disclose live network dependency, error behavior, or that all parameters other than city are discarded. The schema snippets partially reveal discarding, but the description itself adds little beyond the one-line capability.

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 sentence is undeniably brief and front-loaded, with no filler. However, given a seven-parameter schema and the absence of alternatives/context, the single clause is under-specification rather than appropriately concise; more sentences are needed to earn the score a truly effective short description would get.

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, so the description alone must make it callable. It leaves the purpose of the six non-city parameters unexplained, gives no return-format or failure semantics, and never clarifies why those parameters are accepted. This is insufficient for reliable agent invocation.

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

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

Schema parameter coverage is high (all seven properties have descriptions), so the description does not need to re-document them. It adds only the Open-Meteo source and 'current temperature' semantics, which marginally clarifies the city parameter, but it does not compensate for the unexplained coexistence of the six unrelated-looking 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 concrete purpose: returning current temperature for a city, with a named data source (Open-Meteo). It is not a tautology and an agent can understand the intended function, but it doesn't explicitly differentiate from siblings like geo-hint or lib-docs-hint, and the large input schema suggests capabilities beyond this narrow phrasing.

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 weather-hint versus any alternative, and no mention of prerequisites or context. The description does not route the agent toward sibling tools or state what it is not for. Usage context must be inferred from the name and parameters.

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

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

Body discarded is a useful behavior note, but with no annotations the description carries the transparency burden; it omits error behavior, redirects, timeouts, authentication, and the fact that many schema parameters are ignored.

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

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

The text is very short, but it is too terse to be useful; no structure or context is provided, and it omits essential information about the oversized parameter list.

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

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

There is no output schema, no required parameters, no annotations, and no details about the returned status/content-type format; the description is far below what an agent needs to call this tool safely and effectively.

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

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

Although every parameter has a schema description, most are irrelevant to the stated HTTP-status purpose (e.g., zone, json, path, query) and are described only as discarded after a shape check; the description does not connect the url parameter to the fetch behavior.

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

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

The description states the core action (HTTP status and content type for a public URL) with clear scope, but it does not explain how this relates to the nine unrelated parameters in the schema, so the intended purpose remains 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?

It gives no guidance on when to choose web-fetch over sibling tools such as fetch-status, browser-url-ok, or normalize-url, and no conditions or exclusions 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 burden. It does disclose that the title is discarded after the call, implying no persistent side effect, and the check is read-only in nature. However, it does not mention whether the check involves a network request, what happens on invalid input, or any rate-limiting or error behavior, leaving moderate gaps.

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

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

The description is a single sentence that conveys the core purpose and a useful behavioral note. There is no redundancy or filler, and all content 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?

No output schema is provided, yet the description does not specify what the tool returns (e.g., boolean, success indicator). The schema contains many seemingly unrelated parameters, and the description does not clarify that only 'title' should be used or that other parameters are ignored. An agent may be uncertain how to invoke and interpret the tool correctly.

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

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

The input schema provides descriptions for every parameter, so schema coverage is high. The tool description adds minimal parameter-level insight beyond confirming that the 'title' parameter is the relevant one; the note about discarding the title is behavioral rather than semantic. This meets the baseline but does not elevate it.

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

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

The description states a specific action ('Check whether a Wikipedia title exists') and a clear resource. It is not a tautology and is distinct from sibling tools like domain-shape or jira-key-shape. However, it does not explicitly differentiate itself from siblings or name any alternatives, so it does not reach 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 provided about when to use this tool versus alternatives. Sibling tools such as fetch-status or validate-json exist, but the description gives no context on when this tool is preferred. This leaves the agent to infer usage from the name and purpose alone.

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