Snowflake id shape

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 state that task text is discarded and that it returns connection methods, but it does not clarify whether the operation is read-only, whether it makes network calls, what side effects exist, or how the result is structured. This is a significant transparency gap for an index look-up 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 concise: the main purpose is front-loaded in the first sentence, followed by two short supporting clauses on the return value and input discard. It earns its place without padding. The slight ambiguity in 'connection methods' is a clarity issue, not a conciseness issue.

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

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

The tool has 9 optional parameters, no output schema, and no annotation, but the description does not suggest how to select or combine those parameters for a given task. It also does not explain what 'connection methods' means or how an agent should interpret the returned data. Given this complexity, the description leaves too much unspecified.

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

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

Schema description coverage is 100%, giving each of the 9 parameters a clear schema-level explanation. The description itself adds little beyond naming example task types, and it does not explain parameter links to those task types or any dependencies. A score of 3 matches the baseline for high schema coverage when the description provides no additional parameter semantics.

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

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

The description states a specific verb and resource: to find a public pay-per-call tool gateway for categories like weather, search, scrape, or voice, returning connection methods. This is more detailed than a generic 'find' and clearly stands apart from sibling utilities that perform URL or path checks. It does not explicitly name siblings, but the purpose is unambiguous.

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

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

The description implies when it should be invoked—when an agent needs a gateway for one of the listed task types—but it offers no explicit guidance on when this tool should be chosen over other tools or when to avoid it. There is no mention of alternatives or exclusions, leaving the selection decision largely to inference.

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

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

No annotations are provided, so the description must carry the behavioral disclosure burden. It clarifies only that no browser is launched, which is a small but useful safety point. It does not disclose whether a network request is made, what side effects may occur, what is checked (status, accessibility, DNS), or whether any input is mutated.

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 short sentence, front-loaded, and contains no filler. Every phrase earns its place, even if the total content is sparse; conciseness itself is strong.

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

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

For a tool with 9 optional parameters, no output schema, and no annotations, this description is materially incomplete. An agent cannot determine what the check returns, which parameters are actually used, why the other optional params exist, or how to distinguish this from many closely named siblings. Description is far below what the tool's complexity requires.

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

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

The input schema describes all 9 parameters individually, so schema coverage is high and the baseline is 3. The description itself adds little parameter-level meaning; it only references 'a URL' but does not clarify how the many optional and partially discarded parameters relate to the tool's actual 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 a specific verb and resource: it checks whether a URL can be opened, and distinguishes itself from likely browser-launching alternatives by saying 'No browser is launched.' However, it does not explicitly differentiate from all similar siblings like normalize-url or web-fetch, so it misses the full distinguishing context.

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

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

No guidance about when to use this tool versus sibling tools such as playwright-url-ok, web-fetch, or status-catalog is provided. The single contrast with launching a browser is implicit at best and not a clear statement of when/why to choose this 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?

With no annotations provided, the description must carry the behavioral burden. It says "Expression discarded," which at least hints the input is not returned, but it does not explain what is returned, whether this is a pass/fail check, or whether it has side effects. The mention of "expression" conflicts with the schema, making the actual behavior even less transparent.

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

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

The description is extremely concise and front-loaded, earning points for brevity. However, the second sentence "Expression discarded" is imprecise (no schema param named expression) and arguably not an earned sentence because it adds confusion rather than clarity.

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

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

This is a tool with 9 optional parameters, no annotations, and no output schema, so the description needs to explain what inputs to provide and what outcome to expect. It only says "Evaluate a+b style arithmetic” and “Expression discarded”, covering none of the actual parameters and no return behavior; 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?

Schema description coverage is 100%, so the baseline is 3, but the description introduces a phantom "expression" that has no corresponding parameter in the schema. It adds no clarifying value for the actual parameters like ref, url, city, or query, and instead likely misleads an agent into looking for an input that does not exist.

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

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

"Evaluate a+b style arithmetic" states a verb and resource, but it does not connect to any parameter in the 9-parameter input schema (there is no expression parameter). It also does not distinguish itself from sibling shape/check tools, and the phrase "Expression discarded" muddies whether it returns a 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 about when to use this tool versus any sibling tools, and no mention of conditions, exclusions, or alternatives. The only extra sentence is a behavioral note, not usage 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?

With no annotations, the description carries the transparency burden. It does disclose one meaningful side-effect property: page content is not stored. However, it does not explain behavior for invalid URLs, authentication expectations, network-side effects, or which of the many parameters are actually checked.

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: the operation appears first, and the privacy note is useful rather than filler. It is slightly under-sized for a 9-parameter, zero-required tool, but as prose it is appropriately concise.

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

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

Given the schema covers all parameters and the description states the output shape, an agent can probably make a basic call with the URL parameter. Still, with 9 optional parameters, no required combination, and several sibling URL tools, the description leaves important context about when and how to invoke it to inference.

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

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

Schema description coverage is 100%, so the baseline is 3. The description itself adds little parameter-level meaning; saying 'for a URL' barely clarifies which of the 9 optional parameters matters, though the schema does document each individual parameter.

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

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

The description states a concrete operation: return host, scheme, and HTTP status for a URL, and adds a useful non-storage guarantee. It is clear, but it does not distinguish this tool from overlapping siblings like fetch-status, normalize-url, 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 about when to prefer this tool over the many sibling URL/status tools, nor any conditional, exclusion, or preferred scenario. An agent must infer when 'return host, scheme, and HTTP status' is the right choice.

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

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

With no annotations supplied, the description carries full behavioral responsibility but only discloses 'No identifiers are retained'. It does not explain whether the tool performs external lookups, whether it is read-only, what happens to the supplied data beyond retention, or what kind of classification 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 short and without filler, but it is under-specified rather than concise. Two vague sentences leave the reader without enough detail to use the tool effectively, especially for a 9-parameter 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?

For a complex tool with 9 optional parameters, no output schema, and no annotations, the description is severely lacking. It does not disclose what the output looks like, what classification categories exist, how the parameters are used, or what makes a request 'compatible'.

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

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

Schema description coverage is 100% and each parameter has a specific description, so the baseline is 3. The tool description adds no additional meaning beyond the schema, and the connection between the 9 varied parameters and 'classification' is 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 only says 'Show how this request is classified' without clarifying what kind of classification, what a 'request' means, or how this relates to the tool name 'compatibility'. It does not identify a concrete resource or verb action, and it fails to differentiate this tool from the many sibling shape/validation/hint 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 over siblings like domain-shape, validate-json, or fetch-status. The description offers no context, no prerequisites, and no 'when not to use' advice.

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 should carry the behavioral burden. It only indicates that WHOIS/ownership data will not be included. It does not say whether the call is read-only, how invalid hostnames are treated, whether labels are lowercased, sorted, or further normalized, or what happens if the input is not a hostname.

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

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

The single sentence is frantically built to be short and front-loaded, with no wasted wording. However, for a tool with 9 parameters and no output schema, the description is still perhaps too terse to fully take advantage of the structured context.

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

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

There is no output schema, no annotations, and nothing about the return format and validation behavior. For a tool with nine optional parameters and several very similar sibling tools, the description only describes a small subset of what the agent needs to know in order to call it correctly and 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%, and the schema already describes each parameter, including note about discarding and no disk access. The description does not add beyond that, and it does not tell the agent which of the 9 properties is primarily relevant for the hostname label splitting operation.

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 core action: split a hostname into labels, and adds that it does not do WHOIS or ownership lookups. That is a specific verb-plus-resource statement, but it does not explicitly differentiate from the many sibling shape tools such as normalize-url, download-url-shape, or other shape 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 when-to-use or when-not-to-use guidance. An agent has to infer that this is for hostname label splitting, which is insufficient given the large set of sibling tools like file-path-format, github-repo-shape, browser-url-ok, and normalize-url that could overlap from the standpoint of input and purpose.

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

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

There are no annotations, so the description must fully disclose behavior, but it only says it sends a HEAD request and returns status. It does not describe how the other 8 parameters behave, what happens to them, whether data is discarded, or any error or rate-limit behavior. The 'discarded' and 'no disk access' notes live only in the schema and are not tied to the described behavior.

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

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

The sentence is short and front-loaded, but the description is severely under-specified for a tool with 9 optional parameters and zero annotation coverage. The one-line description sounds concise but omits the information an agent needs to invoke the tool correctly for most of the accepted inputs. This is under-specification rather than effective concision.

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, no output schema, and 9 parameters, but the description only accounts for a single 'public URL' case. It is completely inadequate for explaining the behavior of the other parameters or how the agent should choose among the many sibling tools. A description of this size cannot be complete for a tool this complex.

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 each parameter already has a meaningful description, which sets the baseline at 3. The tool description itself adds no parameter-level semantics beyond identifying 'public URL', and it fails to reconcile the URL-focused method with the many non-URL parameters. No credit is lost for the schema coverage, but the description also earns no extra credit.

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

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

The description names a specific verb and resource ('HEAD a public URL') and limits the output to status only, which distinguishes it from content-fetching siblings like web-fetch. However, the input schema accepts 9 unrelated parameters such as json, path, city, and zone, so the described purpose covers only a fraction of the accepted inputs. This mismatch makes it unclear what the tool actually does when given non-URL arguments.

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 about when to use fetch-status versus siblings such as web-fetch, browser-url-ok, status-catalog, or normalize-url. It does not say whether other parameters like json or zone are alternative ways to invoke the tool or are ignored. An agent cannot confidently select this tool over closely related alternatives based solely on this 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?

Annotations are empty, so this short description carries the full burden, but it only discloses 'Path discarded' and never mentions side effects, return semantics, or how it handles the three nine optional parameters. The vague note about discarding the path doesn't convey what happens in a normal call.

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?

Very brief and front-loaded with the main purpose. The second sentence 'Path discarded' is terse but communicates a meaningful boundary; overall it is compact without unnecessary verbosity, though the terseness may have been used to hide important info.

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

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

With no output schema and no annotations, the description must explain what this tool does and what it returns, but it does neither. Having nine optional parameters compounds the ambiguity—the agent can't tell which are toggleable and which are irrelevant—leaving the tool incompletely constrained.

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

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

Input schema provides 100% coverage for each parameter, so baseline is 3. The tool description adds nothing about which of the nine params apply to the Figma URL shape check, and leaves the agent with a likely but unstated assumption that 'url' is 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?

Names a specific resource (Figma file URL) and verb (parse), and the name distinguishes it from siblings like 'github-repo-shape' or 'jira-key-shape'. However, 'parse' isn't defined as returning a boolean, normalized shape, or components, and 'Path discarded' is a detail rather than the outcome.

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 on when to use this tool versus siblings like 'normalize-url' or 'fetch-status'. The description gives no context, prerequisites, or exclusions, so an agent can't decide between it and the rest of the shape/utility family.

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

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

With no annotations provided, the description carries the full burden. It does disclose a useful behavioral fact: 'No disk access,' which distinguishes this from an actual filesystem existence check. But it stops short of describing return values, outcome form, or edge cases, leaving the agent to guess at the call result. It adds value beyond nothing, but lacks important behavioral detail.

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 efficient: two short sentences front-load the core purpose and the most relevant restriction. There is no filler, repetition, or detail that belongs in the schema. It is both compact and well-structured for quick agent scanning.

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 a tool with nine parameters but no output schema, no annotations, and a description that touches only one parameter, the description is not complete enough. The agent gets no indication about the correct parameter usage amid seven seemingly unrelated input properties, and no clarity on the return result. The broad schema and undefined return value make the tool harder to call safely; the description should clarify that only 'path' matters and what the check 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 coverage is 100%, so the schema already documents all nine parameters. The description reinforces the file-path semantics by saying 'a path to check,' which mirrors the path parameter. However, it does not clarify why numerous unrelated parameters (ref, url, city, feed, host, json, zone, query) are listed, nor which are actually required or relevant, which is a notable gap in parameter semantics.

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

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

The description clearly states a specific action and target: 'Check whether a path looks safe.' The qualifier 'No disk access' adds an important boundary, and the name/title reinforces the resource. However, it does not define what 'safe' means (e.g., path traversal, syntactically valid), and it does not explicitly differentiate itself from sibling validation tools like browser-url-ok or domain-shape, making it a strong but not perfect purpose statement.

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

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

There is no guidance about when to use this tool versus alternatives, no prerequisites, and no exclusions or conditions. The description says only what the tool does, not when a caller should reach for it over the many sibling validation tools. The agent is left to infer use from the name and the 'path' parameter.

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 behavioral disclosure. It hints at an external API call via Open-Meteo but does not state the return shape, error behavior, or side effects. Agents are left uncertain about what a successful response will look like.

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

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

The description is a single, front-loaded sentence with no filler and no redundant details. It is concise, though slightly under-specified for a tool with nine optional 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?

The tool has no output schema, no annotations, and nine unconstrained parameters, yet the description gives no invocation example or return format. An agent would need to infer which parameter supplies the place name and what the response contains.

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

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

Schema description coverage is 100%, so every parameter already has an individual description; the baseline is 3. The top-level description does not clarify which of the nine optional parameters should be used as the 'place', but the schema descriptions provide partial coverage.

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 latitude and longitude for a place and identifies Open-Meteo as the backend. It lacks an explicit verb and does not say how the place is specified, but it is not vague or tautological.

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

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

There is no guidance about when to use this tool versus sibling tools such as weather-hint, timezone, or validate-json. No conditions, examples, or exclusions are provided, so the intended invocation context is largely implicit.

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

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It does not explain what the tool returns, how it handles invalid or non-GitHub URLs, or that the schema contains many unrelated parameters that are ignored. This is a significant transparency gap.

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

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

The single sentence is short and contains no filler, but it is under-specified rather than appropriately concise. It lacks structure, early indicators of parameter usage, and would not be considered a well-rounded feature 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?

With no output schema annotations, the description must explain return values and input expectations; it does neither. An agent cannot determine which of the nine seemingly irrelevant fields to supply, how the owner/repo are returned, or what happens for malformed input.

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

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

Although schema description coverage is 100%, the 9 parameters are generic and some clearly belong to sibling tools (e.g., 'city', 'query', 'zone'). The description does not specify which parameters are relevant for a GitHub URL, adding confusion rather than compensation.

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 ('parse'), a specific resource ('GitHub URL'), and the exact output concept ('owner and repo'). This clearly distinguishes it from sibling shape tools like 'jira-key-shape' or 'figma-url-shape' without requiring schema inspection.

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 such as 'normalize-url' or other shape tools. It does not mention context, prerequisites, or any exclusions, leaving the agent to infer usage from the name alone.

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

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

There are no annotations, so the description carries the full burden. It discloses one meaningful behavioral trait, that titles are discarded, and 'current' implies it fetches live data. It does not explicitly disclose that the call is read-only, that all parameters appear irrelevant, or any rate-limit/error behavior; the lack of an explicit safety statement leaves a moderate gap.

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

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

The description is two short sentences with no filler: the core action comes first, and the important caveat is a compact standalone sentence. Every part earns its place and the readability is excellent.

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 seemingly read-only count tool with no required parameters and no output schema, the description gives enough context: what is counted, what source, and what is discarded. The presence of 9 optional parameters is a little confusing, but their schema descriptions and optionality make the tool call still possible with no arguments.

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 this keeps the baseline of 3. The description adds no parameter-specific guidance and does not clarify how any of the 9 optional parameters interact with the count, but the schema does describe each parameter and none are required. The description's 'Titles discarded' comment is not tied to any parameter.

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

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

The description names the exact verb and resource: 'Count current Hacker News front-page stories'. It also adds a boundary by noting 'Titles discarded', which prevents an agent from using it when titles are needed. This clearly distinguishes it from the many shape/URL/search tools listed as siblings.

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

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

The description gives clear contextual use: a current count of Hacker News front-page stories, with an explicit negative cue that titles are discarded. It does not name alternative sibling tools or state a when-not-to-use condition, so it is not a 5, but agents can infer when it is appropriate from the stated action and the sibling set.

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 and the description does not disclose behavior. It does not state whether the tool is read-only, what it returns, how errors are handled, whether it has side effects, or what happens when parameters are supplied or omitted.

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

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

The description is short and has no filler, but it is under-specified rather than appropriately concise. It is a noun fragment without an actionable front-loaded verb, and it is not enough structure for a tool with nine 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?

With nine optional parameters, no output schema, and no annotations, this description leaves almost all operational context unanswered. The agent cannot tell what input to pass, what response to expect, or whether calling with no arguments is acceptable.

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

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

Schema description coverage is 100%, so each of the nine parameters already has a schema-level description. The tool description itself adds no semantic direction about which parameters matter for this tool or how they affect the output, yielding the baseline score of 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 identifies the resource as common IANA timezone names and ties them to clock calls, so a general purpose is inferable. However, it lacks an explicit action verb and never clearly states whether the tool returns a list, validates a zone, or does something else.

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?

'For clock calls' gives a thin, implied usage context: use this tool when IANA zone names are needed for clock/timezone calls. It does not mention alternatives or exclusions, making the guidance less explicit than it could be.

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

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

No annotations are present, so the description must carry the full behavioral burden. It specifies that only group counts are returned and restricts itself to public robots.txt, but it doesn't disclose HTTP mechanics, side effects, or how the parameter set interacts with fetching. The sparse wording leaves important behavioral traits implicit.

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

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

The description is a single, compact sentence that captures the core behavior with no filler. Each word earns its place, and the 'only' qualifier sets clear expectations about output granularity.

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 zero annotations, the description is far too thin. An agent has no way to know which parameter drives the fetch, how the 'group counts' are structured, or what happens to the other eight parameters. The mismatch between the simple robots.txt claim and the generic-looking parameter list creates serious ambiguity.

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

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

Schema coverage is 100%, so the baseline is 3 even without additional parameter info in the description. The description doesn't map any of the nine parameters to the robots.txt fetch—it's not clear whether 'url' or 'host' is used—so it adds no value beyond the schema itself.

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 clear action (fetch) and resource (public robots.txt) and specifies the output shape (group counts only). It doesn't explicitly differentiate from sibling fetch-like tools, but the purpose is obvious from the name and description.

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 over siblings like web-fetch or fetch-status. It doesn't mention the required input (which parameter supplies the robots.txt URL), nor any preconditions or alternatives, leaving invocation decisions entirely to the agent.

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

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does reveal that the key is discarded, which is useful, but it omits what the output is, how invalid shapes are reported, whether side effects occur, and any error behavior. For a checker tool with no annotations, this is thin but minimal.

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: it names the Jira key purpose in the first sentence and the retention policy in the second. It does not earn this compactness, though, because essential details such as which parameter holds the key and what result the check returns. It is concise, but under-negotiated rather than efficiently specified.

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, so the description is the main contextual source. It does not explain how to invoke the check, which property participates, what a valid Jira key looks like, or what outcome an agent should expect. This is inadequate for the complexity of the schema.

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

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

Schema description coverage is 100%, and no enums appear, so the baseline for parameter semantics is 3. The description adds no useful parameter-level guidance and, critically, never maps the phrase "Jira issue key" to one of the nine schema properties, leaving the agent to guess the 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 states a specific action and object: "Check a Jira issue key shape". However, the input schema has no Jira-key parameter at all, instead offering ref, url, city, feed, host, json, path, zone, and query, so the description does not actually tell an agent which input to provide. It partly differentiates from sibling shape tools by naming Jira, but leaves a critical mapping gap.

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 github-repo-shape, figma-url-shape, or domain-shape. The sentence only hints that Jira issue keys are checked; it gives no when/when-not conditions, prerequisites, or selection examples.

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

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

There are no annotations, so the description carries the full burden. It discloses one behavior fact ('Body discarded'), but says nothing about error handling, redirects, response format, side effects for non-URL parameters, or whether parameters are mutually exclusive. The schema already says 'discarded' for several parameters, so the description adds minimal new insignia.

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 two-clause sentence, which is concise. However, it suffers from under-specification rather than concision—the single fact it supplies does not justify its place for a tool with 9 parameters. It is not redundant, but it is incomplete enough that the three points fits only marginal.

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

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

For a tool with 9 parameters, no annotations, and no output schema, this description is essentially inadequate. An agent can't tell what to do with the timezone, city, json, query, path, or feed parameters, nor whether any are alternatives or additional filters. The description leaves the tool almost completely unspecified.

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

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

Schema description coverage is 100%, so a baseline of 3 applies, but the description adds no unifying semantics for any of the 9 parameters. It also contradicts one schema hint: the description says 'public library docs URL' while the url parameter description says 'HTTPS URL to normalize or cite'. The description leaves eight parameters entirely unexplained here.

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 output (HTTP status) and a resource (a public library docs URL), but it does not align with the 9-parameter input schema covering city, timezone, JSON, query, path, feed, etc. The purpose is therefore ambiguous and does not communicate what the tool as a whole actually does. It also does not distinguish it from siblings like '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?

No guidance is given about when to prefer this tool over the many sibling URL- or hint-related tools. The one unsolicited mention of 'public library docs URL' is not enough to classify it from alternatives, and the description leaves no exclusion or alternate route for the other parameter types.

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 adds only one minimal trait—'Values discarded'—leaving out whether it is read-only, what side effects occur, how it handles the memory context, or any error behavior.

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

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

The description is short, containing no fluff, but it is under-specified for the complexity it claims to address. Two sentences cannot adequately define a 9-parameter operation, making this under-specification rather than genuine 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 optional parameters, no annotations, and no output schema, yet the description gives only a vague operation hint. An agent cannot determine which parameter to pass, what the role of 'memory' is, or what the result represents, making the definition 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?

Schema description coverage is 100%, so the baseline is 3. The description adds no additional parameter-level meaning beyond pointing at a JSON object; it does not explain which input actually supplies the object or how the other eight parameters factor in.

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 operation ('Count keys in a JSON object'), but it does not tie the action to the tool's 'memory' context or clarify which of the many schema fields is the intended source. The verb-resource pair is present, but the purpose is ambiguous enough that an agent could misfire, and no distinctiveness against siblings 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 any of its 27 siblings. The description solely prescribes a generic action, failing to explain suitable conditions, prerequisites, or exclusions.

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

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

With no annotations, the description carries the burden. It discloses that query and fragment are dropped but does not mention edge cases, error behavior, how the URL is required to be formatted, or that the other 8 schema parameters are discarded. The behavioral disclosure is partial and potentially misleading given the schema's many unrelated 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 a single front-loaded sentence with no filler. It states the core purpose and a key behavioral constraint (query/fragment dropped) efficiently, making it easy for an agent to grasp the essentials.

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

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

Given the tool has 9 parameters but no output schema, the brief description is insufficient. It does not explain the result shape, which parameters are actually consumed, or why the schema includes many irrelevant fields. An agent cannot fully understand how to invoke this tool correctly.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no additional semantics for parameters; it simply focuses on the 'url' parameter, while the schema already documents each parameter individually. It does not compensate for or clarify the presence of unrelated 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 verb and resource: 'Return origin, host, and path for a URL.' It also notes query and fragment dropping, which distinguishes it from URL-fetching or checking siblings. It is clear but doesn't explicitly differentiate itself from all related tools by name.

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 on when to use this tool instead of alternatives like browser-url-ok or web-fetch. There are no conditions, prerequisites, or exclusions. The description only states the output, leaving the selection context entirely 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 provided, the description carries the full burden, but it only discloses that no browser is launched. It does not say whether the tool performs a network request, what the check involves, whether it has side effects, or what constraints exist (e.g., timeouts, access). The added note is useful but leaves most behavioral expectations undefined.

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, no wasted words, and the key fact ('No browser is launched') is placed as a meaningful second sentence. It is terse, but a bit sparse for the tool's complexity, so it loses one point for context rather than 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?

For a tool with 9 parameters, no required fields, and no output schema, the description is far too brief. It only mentions 'url', ignoring all other parameter categories, and does not describe what the tool returns or how the check is performed. An agent would need to infer most context beyond the schema, making this incomplete.

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

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

The input schema covers 100% of the parameters with descriptions, so the baseline is 3. The tool description adds no parameter-level meaning and does not clarify how the many optional parameters relate to the purpose or each other; it simply relies on the schema, which is adequate but not enhanced.

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 URL can be opened') with a clarifying behavioral note ('No browser is launched'). However, 'can be opened' is ambiguous (HTTP success vs. URL validity vs. renderability), and the tool's input schema contains many parameters unrelated to URLs (ref, city, json, path, zone), which the description does not reconcile. It is clear enough to be useful but not enough to fully disambiguate from siblings.

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

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

There is no explicit guidance about when to use this tool instead of alternatives like browser-url-ok, fetch-status, or normalize-url. The statement 'No browser is launched' hints at a lightweight alternative to a browser-based check, but it never names the alternative or the conditions that should drive the 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 provided, the description carries the behavioral disclosure burden. It does disclose that the query is 'discarded', which is useful data-handling context. However, it does not clarify whether the tool is read-only, what it returns, or how it behaves with the many other accepted 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 two short sentences with no filler. The purpose is front-loaded, and the second sentence adds a meaningful behavioral detail. Every word earns its place.

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

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

The tool has 9 optional parameters, no output schema, and no annotations, yet the description only addresses the 'query' parameter. It does not explain what the tool returns, why the other parameters exist, or whether they are ignored. This leaves significant ambiguity for an agent deciding how to invoke the tool correctly.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds minimal meaning beyond the schema by identifying 'query' as the search text and noting it is discarded, but it does not help disambiguate the other eight parameters, which appear unrelated 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 description states a specific action ('Count characters') and a specific resource ('a search query'), so an agent can tell what the tool does. It does not explicitly differentiate from sibling counting tools like memory-key-count or hn-front-count, but the search-query focus is clear enough.

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

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

The description implies when to use the tool: whenever the length of a search query is needed. However, it provides no explicit guidance about when not to use it or which sibling tool might be a better alternative, leaving the agent to infer the usage context.

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

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

No annotations are present, so the description carries the full burden for behavioral disclosure. It only implies a read-only shape check through the word 'shape' and never states side effects, return behavior, data handling, or what happens with the many inputs. It is slightly better than no meaningful clue but still far from transparent.

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

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

At only four words, the description is concise, but conciseness is only earned when the needed meaning is communicated. The definition is under-specified rather than efficiently structured, and there is no front-loaded functional statement.

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

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

With 9 optional parameters, no output schema, and no annotations, the tool cannot be used confidently from this description. The agent is left without guidance on which parameter to provide, what the tool returns, or how the shape check behaves.

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

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

Schema description coverage is 100%, so each parameter is already individually documented with reasonable meaning. The description itself adds no parameter-level semantic value and never explains how any of the nine parameters relates to a Snowflake id, but the high schema coverage meets the baseline.

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

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

The description is a bare noun phrase, 'Snowflake id shape', with no verb or explicit action. It does not state whether the tool checks, validates, normalizes, or returns information about a Snowflake id. Though the sibling shape-tool context hints at validation, the description alone is too vague to tell an agent exactly what it does.

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

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

There is no explicit guidance about when to use this tool rather than a sibling such as github-repo-shape, jira-key-shape, or domain-shape. No conditions, exclusions, or alternatives 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?

No annotations are provided, so the description must carry the full behavioral burden. 'Short catalog' weakly implies a read-only lookup with no side effects, but the description does not disclose the output form, whether any input actually affects the result, or that most inputs are 'discarded after the shape check'—that detail is buried in the input schema instead.

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 sentence with no filler and the purpose front-loaded. It is economical, though the brevity comes at the cost of substance rather than being an elegantly dense summary.

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, zero annotations, and no output schema, this description is too thin. It omits how inputs relate to the catalog, what a caller receives, and when the tool would ever be the right pick among the long sibling list.

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% with explicit per-parameter descriptions, so the baseline 3 applies even though the tool description itself adds nothing about parameters. The description neither explains why nine unrelated string inputs would be needed nor reveals that they are validated and discarded rather than used.

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

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

The description names a concrete resource ('common HTTP status codes') and identifies the tool as a reference catalog, so an agent can roughly tell it from fetch call tools. However, the nine input parameters (city, json, zone, query, etc.) bear no obvious relation to a status-code catalog, so the purpose feels disconnected from the call contract, and it does not distinguish itself from the sibling 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 gives zero guidance on when to choose this tool over siblings such as fetch-status, web-fetch, or validate-json. There are no conditions, no exclusions, and no hint about which of the nine parameters (if any) is appropriate to supply.

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. 'Prompt discarded' gives one behavioral hint, but it is ambiguous and doesn't explain side effects, return format, or whether parameters influence the output.

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. Each sentence contributes, though 'Prompt discarded' is cryptic and could be clearer.

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?

A 9-parameter property, no annotations, and no output schema demand a richer description. The text does not explain the output structure, which parameters matter, or when the tool should be selected, leaving an agent largely in the dark.

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 bare minimum is met. The description adds no parameter-level meaning, but the schema already documents each of the 9 optional parameters 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 action and resource: 'Return a three-step thinking template.' This is clear enough to distinguish it from domains like validation or fetching, though it doesn't explicitly differentiate from a sibling tool.

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

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

There is no guidance on when to use this tool versus alternatives such as calc-eval or citation. 'Prompt discarded' is a caveat, not a usage selector.

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

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It indicates a read-only time lookup, but it does not mention output format, errors for invalid timezone names, network access, or that most fields in the input schema are irrelevant and discarded.

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

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

The description is one direct sentence with no filler or redundancy. It is concise and front-loaded; the weakness is not its structure but what it omits, which is captured under the other dimensions.

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

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

For a tool with no output schema, no annotations, and nine loose parameters, this is underspecified. It does not say how the result is formatted, what happens when the timezone is invalid, or which parameter is actually needed, making correct invocation dependent on inference from the schema.

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

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

Schema description coverage is 100%, so the input schema already documents all nine parameters. The description adds little beyond restating the IANA timezone intent and does not explicitly direct the agent to the `zone` field among the eight unrelated optional 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 clearly states a specific function: returning the current time for a named IANA timezone. The scope is immediately understandable and gives the agent a reasonable basis for separating it from siblings like `utc-time` or `iana-zones`, though no sibling is explicitly named.

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

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

There is no guidance about when to use this tool versus the alternatives, no preconditions, and no exclusion criteria. The only usable signal is implied by the phrasing “current time in a named IANA timezone,” which is too implicit for choosing between the closely related time-zone tools.

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

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

With no annotations at all, the description carries the full burden of behavioral disclosure, but it only says 'Current UTC timestamp.' It fails to explain that the tool accepts nine optional parameters (url, city, feed, etc.) and that each is described in the schema as being discarded after validation, so the actual behavior with those inputs is opaque. This is a serious gap for a tool with 9 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 a three-word phrase with no filler, front-loading the core purpose immediately. While the brevity contributes to incompleteness elsewhere, the conciseness dimension itself is strong: every word is purposeful and the structure is clean.

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

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

For a tool with 9 optional parameters, no output schema, and no annotations, a three-word description is far from complete. It does not explain the return type, the parameter semantics beyond the schema, or how the tool should be called, leaving an agent without enough context to use 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 description coverage is 100%, and each parameter has an explicit description like 'discarded after the shape check' or 'no disk access'. The tool description itself adds no parameter meaning, but the the input schema already carries the heavy lifting, so the baseline score 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 'Current UTC timestamp' clearly states the tool's core purpose, and the name itself reinforces it, distinguishing it from siblings like timezone and iana-zones. It lacks an explicit verb like 'returns' and doesn't specify the timestamp format, which leaves slight ambiguity about whether the result is a Unix epoch or an ISO string.

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 instead of alternatives, nor does it mention the nine optional parameters or the fact they are not required. It simply states the output, leaving the agent to infer any context for when this 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. It does add a meaningful side-effect note: 'The body is discarded,' which indicates the input is not persisted. However, it doesn't disclose what the tool returns (boolean, error, message), whether other parameters affect behavior, or any auth/rate-limit constraints. For a safe, read-only validation operation, the discard note is helpful but 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 two short sentences with zero filler: the purpose is front-loaded and the side-effect note is a single crisp clause. Each sentence earns its place, even though the tool has a large schema. It is an example of appropriately concise writing.

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 only names a 'body' without pointing to which parameter supplies that body or explaining the result of validation. An agent must infer from the individual parameter descriptions that 'json' is the input. This is a significant gap for a tool with such a broad schema.

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

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

Schema description coverage is 100% — all nine parameters have descriptions in the input schema, so the baseline is 3. The tool description itself adds no parameter meaning beyond implying the 'body' is one of the inputs; it doesn't clarify that only the 'json' parameter matters for this tool. The schema already provides the per-parameter details, and the description does not compensate beyond 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 states a specific verb and resource — 'Check whether a body is valid JSON' — and is not a tautology. It doesn't explicitly differentiate from sibling shape-checkers like 'file-path-ok' or 'domain-shape', but the tool name and sentence make the core purpose clear. The broad schema with many unrelated optional parameters adds some ambiguity, but the purpose itself is 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 use this tool versus the many sibling validators (e.g., 'file-path-ok', 'github-repo-shape', 'wiki-title-ok'). There are no exclusions or references to alternatives, leaving an agent to infer from the tool name alone that 'validate-json' is for JSON checks.

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

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

With no annotations, the description carries the full burden of explaining behavior. It only says the source is Open-Meteo and that the result is a current temperature; it omits that the other schema parameters are shape-check values to be discarded, what the tool actually returns for invalid inputs, and any network/rate-limit implications of calling an external weather API.

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 excess fluff. It is far too short to carry the full meaning of a 9-parameter, no-annotation tool, so while it is concise, it is not appropriately sized for the tool's complexity.

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

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

Given the tool has 9 optional parameters, no output schema, no annotations, and no mention of what happens when the relevant parameter is absent, a single sentence is not enough. An agent cannot confidently know the return shape or how to use the tool correctly beyond guessing by the 'city' key.

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 what each parameter means and that most are discarded after checks. The description adds no parameter-specific meaning beyond mentioning 'a city', but the schema itself does the heavy lifting, warranting the baseline of 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 names a specific deliverable ('current temperature') and the datasource ('Open-Meteo'), so an agent can infer this tool is about weather lookups. It does not explicitly contrast itself with similar siblings like geo-hint, but the weather-specific wording is enough to separate it from the general hint/shape 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?

The description implies a use case ('current temperature for a city') but gives no guidance on when to choose this over sibling tools, nor does it mention that many schema parameters are discarded. It provides no explicit trigger conditions, exclusions, 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 burden of behavioral disclosure. It does transparently state 'Body discarded' and implies no authentication by 'public', but it omits the behavior of the other eight parameters—such as validating JSON or checking timezone names—and gives no info on error modes, rate limits, or side effects.

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

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

Two terse sentences, front-loaded with the action and result, and the 'body discarded' note is useful and non-redundant. 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?

Given nine optional parameters and no annotations or output schema, the description is too sparse. It leaves unclear what actually happens when non-URL params are provided, how results are returned, and what shape validation means for a tool that appears to fetch web content.

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%, with all nine parameters individually described in the schema, so the description does not need to repeat parameter meaning. It does, however, fail to clarify how the url parameter relates to the other parameters, and it doesn't reconcile the HTTP-fetching language with the unrelated 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 clear verb and resource ('HTTP status and content type for a public URL'), and the 'Body discarded' note adds scope. However, it does not reconcile the broad 9-parameter schema with that narrow purpose, and it does not distinguish itself from the sibling 'fetch-status' tool that appears to duplicate this behavior.

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

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

There is no guidance on when to use this tool versus alternatives such as fetch-status, browser-url-ok, or normalize-url. The description provides no context about preferred use cases, exclusions, or prerequisites (e.g., public-only URLs, auth, redirects).

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 adds the non-persistence hint that the title is discarded, but it does not state whether the check is read-only, whether it accesses the network, or what happens on failure. Some transparency is present, but meaningful gaps remain.

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. The 'Title discarded after the call' clause adds useful behavioral context without bloating the text.

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

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

The tool has 9 optional parameters, no output schema, and no annotations, yet the description only states the existence-check purpose. It does not explain the return value, how to supply the title, or how this tool relates to sibling tool variants, so an agent cannot confidently invoke it.

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

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

The schema has 100% parameter description coverage, so the baseline is 3 even though the tool description adds no parameter-specific meaning. The larger issue is that no schema property is named 'title', and the description does not map the title to any of the nine parameters, leaving invocation ambiguous.

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

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

The description states a specific action and resource: checking whether a Wikipedia title exists. It is clear, but it does not differentiate from sibling validation tools like browser-url-ok or file-path-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 gives no guidance on when to use this tool versus alternatives such as normalize-url, web-fetch, or citation. There is no mention of prerequisites, exclusions, or when another sibling tool would be a better fit.

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