Pacific/Galapagos clock

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 does disclose that task text is discarded and that the tool returns artifacts rather than mutating them, but it omits other behavioral details such as cost, auth, error behavior, and whether external calls are made. This is a meaningful gap for a tool with zero annotation coverage.

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 definition is three short sentences with no filler. The core action is front-loaded and each sentence contributes either the target, the outputs, or the privacy-relevant 'task text discarded' note.

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 six-parameter tool with no output schema and no annotations, this is incomplete. It lists returned artifacts but does not explain the role of the six parameters, expected input relationships, failure modes, or how the returned information is structured.

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

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

Schema description coverage is 100%, so the baseline is 3. The tool description adds almost no parameter-level meaning beyond the schema; it does not explain how the six heterogeneous inputs (ref, url, city, feed, host, json) relate to finding the Monid gateway.

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 target (a public pay-per-call tool gateway called Monid), a clear retrieval verb ('Find'), and the main artifacts returned (CLI setup, how-it-works, skill file, remote MCP hops). It is clear as a purpose, but it does not explicitly differentiate from sibling tools such as web-fetch or the URL-shape validators.

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 use case is implied: call this when you need Monid's setup or integration documentation. There is no explicit when-not-to-use guidance or reference to alternatives, so an agent has to infer the boundary between this and generic fetch/validation tools.

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

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

No annotations are provided, so the description carries the full behavioral burden. It discloses one negative behavior (no browser launch) but does not explain what 'check' actually does—whether it makes a network request, validates URL syntax, or what side effects might occur. The schema parameters mentioning 'discarded after the shape check' and 'discarded after the call' hint at broader behaviors not covered in the description.

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

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

The description consists of two tight, front-loaded sentences. The core action ('Check whether a URL can be opened') and the critical scoping qualifier ('No browser is launched') both earn their place with no superfluous words.

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

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

With no output schema and no annotations, the description alone must cover the tool's scope. It addresses only the URL check, yet the input schema includes 7 heterogeneous parameters (ref, city, feed, json, path, host) whose descriptions imply multiple distinct operations. An agent would not know the tool can validate JSON, provide weather hints, or handle shapes beyond URLs, leaving the description incomplete for the full tool behavior.

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

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

All 7 parameters have descriptions in the schema, yielding 100% schema_description_coverage. The tool description adds no parameter-specific meaning and only generically references URL. With high schema coverage, the baseline of 3 is appropriate; the description neither compensates nor detracts.

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

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

The description states a specific verb ('Check') and resource ('URL'), and the clause 'No browser is launched' actively distinguishes it from browser-launching siblings like playwright-url-ok. The agent can immediately tell this is a lightweight URL check rather than a fetch or browser automation 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?

The description implies the intended use case: checking URL openability without launching a browser. However, it does not explicitly name alternatives or give when-not-to-use criteria. The contrast with browser-launching tools is present but subtle, so the guidance is implied rather than explicit.

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

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

No annotations are present, so the description carries the full burden of disclosing side effects and return behavior. It only says that the expression is discarded, which is a useful statelessness hint, but it omits output format, errors, permissions, or any other operational 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 appropriately short, front-loaded with the verb and object, and contains no filler. The second sentence about discarding the expression is cryptic given the schema mismatch, but the structure itself is efficient.

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

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

The definition is critically incomplete: it never identifies which parameter contains the expression, provides no output schema, and offers no usage context. Given seven unrelated schema fields and no annotations, an agent cannot reliably select or invoke this tool based on the description alone.

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

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

All seven schema parameters have descriptions, which is a strong baseline, but none of them is an arithmetic expression matching 'a+b.' The description therefore adds no practical mapping between its stated purpose and the actual parameters an agent must supply.

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

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

The description names a specific operation, evaluating a+b-style arithmetic, and adds a notable behavior with 'Expression discarded.' However, it is vague about how the expression is supplied and does not map cleanly to any schema parameter, so the stated purpose is only partially actionable.

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

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

There is no guidance on when to use this tool versus alternatives, no prerequisites, and no mention of what input actually carries the expression. The sibling list suggests many related shape/check tools, but the description does not exclude or differentiate them.

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

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

With no annotations provided, the description carries the behavioral disclosure burden. It does add a meaningful trait by stating 'Page content is not stored,' which informs agents about data retention. However, it does not disclose whether the URL is fetched, whether the operation is read-only, or any error/rate-limit 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 concise and front-loaded with the primary behavior. Both sentences add value, and there is no filler or redundancy.

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

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

The description is incomplete for a tool with nine optional parameters and no annotations or output schema. It only covers the URL behavior, leaving the other eight schema parameters and the expected behavior when multiple parameters are supplied unexplained.

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 no parameter-specific meaning beyond the URL case and does not explain how the other parameters relate to the stated purpose.

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

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

The description clearly states the verb and resource: it returns host, scheme, and HTTP status for a URL. It is specific enough to be understood, though it does not explicitly differentiate itself from sibling tools like fetch-status or normalize-url.

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

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

No explicit guidance is given for when to use this tool versus alternatives. The privacy note 'Page content is not stored' hints at one boundary, but the description does not mention fetch-status, normalize-url, web-fetch, or any other sibling as an alternative.

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

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

Annotations are empty, so the description carries the full behavioral burden, yet it discloses only a privacy trait ("No identifiers are retained"). It says nothing about whether the operation is read-only, whether it makes network requests, or what side effects may occur, and it does not describe the shape of the classification result.

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, waste-free sentences, each contributing something (purpose, privacy guarantee). However, the brevity edges into under-specification: the available space could have defined 'classification' without adding bloat, so the compactness does not rescue the vagueness.

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 the tool returns and how it behaves, but it only records a privacy guarantee. The core concept — what 'classification' means, what the result looks like, and when it applies — is absent, leaving an agent unable to anticipate the tool's output.

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

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

All parameters carry rich per-param schema descriptions (e.g., "discarded after the shape check", "titles discarded"), so schema coverage is effectively 100% and the baseline is 3. The description adds no parameter-level detail, which is acceptable since the schema already does the heavy lifting.

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 supplies a specific verb and object ("Show how this request is classified") and is not a tautology, but the meaning of 'classified' is left undefined — no classification scheme, categories, or output format is described. The diverse parameters hint at a shape/type classifier, yet the description never states this and does nothing to distinguish it from the 25 sibling shape-checking tools.

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

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

No guidance exists about when to use this tool versus the many overlapping siblings (domain-shape, github-repo-shape, normalize-url, validate-json, fetch-status, etc.). There are no usage conditions, exclusions, or named alternatives, so an agent must guess which checker to invoke.

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

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

There are no annotations, so the description carries the full behavioral burden. It discloses that WHOIS/ownership data is not used, but it does not mention read-only behavior, discarded inputs (only schema notes imply discarding), return format, or failure behavior. This is thin for a tool with seven possible input 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 one short sentence with no filler, and its key exclusion ('without WHOIS or ownership data') is clear. However, the brevity omits important context about the seven-parameter schema, so it is well-structured but overly compressed.

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

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

Given the multi-parameter schema, missing annotations, and no output schema, a single sentence is not enough. The description omits the role of most parameters, what the labels output looks like, and how this tool relates to adjacent shape/validate tools. Schema notes partially compensate, but tool-level context is 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?

All schema properties have descriptions, so schema description coverage is high and the baseline is 3. The tool description does not explain which parameter to use or how url/city/feed/json/path relate to 'hostname', but the schema itself documents each property. Little parameter meaning is added beyond mapping 'hostname' to 'host'.

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

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

The description states a specific operation ('Split a hostname into labels') and a clear exclusion ('without WHOIS or ownership data'), so the core behavior is understandable. However, the input schema lists seven unrelated parameters (ref, url, city, feed, json, path) alongside host, and the description does not reconcile these with the hostname-splitting purpose, which leaves some scope ambiguity.

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 siblings like normalize-url, validate-json, file-path-ok, or other shape tools. The phrase 'without WHOIS or ownership data' hints that it is not a lookup, but it does not state prerequisites, exclusions, or alternative tool selection.

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

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

The description discloses the core behavior (HTTP HEAD, status-only response, no body). However, it does not mention redirects, errors, timeouts, or side effects, and the schema's 'discarded' fields create ambiguity about what actually happens.

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

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

The single sentence is concise and front-loaded with the core action. It earns its place, though the brevity contributes to under-explanation of the confusing schema.

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

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

Given a 9-parameter schema with 100% coverage, the description is far too incomplete. It explains only URL status checking and leaves the remaining eight parameters unexplained or contradictory, with no output schema to resolve the behavior.

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

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

The schema descriptions are largely unrelated to the described purpose: url is described as 'normalize or cite', and city, feed, json, path, zone, and query suggest entirely different tools. This actively misleads an agent about which parameters are relevant.

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

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

The description names a specific action (HEAD) and output (status only), which is clear for a URL-checking tool. It is slightly ambiguous about whether 'HEAD' refers to HTTP and does not explicitly differentiate from web-fetch/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 choose this tool over alternatives such as web-fetch or browser-url-ok. It does not state prerequisites, when to avoid it, or how it fits into a workflow.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Path discarded,' which reveals one behavior, but it does not explain what the parse returns, whether the URL is fetched/validated, how unrelated parameters are treated, or any side effects. This is insufficient for a tool with no annotation safety signals.

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, front-loaded, and contains no filler; both sentences convey meaningful information. However, the terseness of 'Path discarded' is slightly cryptic and could be misread as referring to the path parameter rather than the URL path, so it is not perfectly structured.

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

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

Given 9 parameters, no required parameters, no output schema, and no annotations, the description is too incomplete. It does not tell the agent which parameter to populate, what output shape to expect, or how the many unrelated schema properties should be handled. This makes correct invocation unnecessarily uncertain.

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

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

Schema description coverage is 100%, so the 9 parameters are each already documented at least minimally. The description adds little beyond associating the tool with Figma URLs and mentioning path discarding, but it does not clarify which parameter should carry the Figma URL or why most schema fields are unrelated. A baseline 3 is appropriate given the full schema 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 a specific action ('Parse') and a specific resource ('a Figma file URL'), making the tool's purpose immediately understandable. It also distinguishes itself from sibling shape/URL tools by naming the Figma-specific resource, even without explicitly naming an alternative.

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

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

The description implies the tool should be used when an agent encounters a Figma file URL, but it provides no explicit when-to-use or when-not-to-use guidance. It also does not mention alternatives like normalize-url or browser-url-ok, so usage context is only implied, not directly stated.

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

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

With no annotations, the description carries the behavioral burden; it does add one meaningful behavioral fact ('No disk access'), indicating the check is syntactic and safe. However, it does not disclose return values, validation criteria, failure behavior, or whether the other eight schema parameters are accepted, ignored, or discarded.

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

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

Two sentences, zero filler, and the key action is front-loaded. Every word earns its place, and the description is easy to scan.

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

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

For a tool with nine optional parameters, no annotations, and no output schema, this description is too minimal. It does not explain which parameter to pass, what the result looks like, or how to handle the other schema fields, leaving an agent with insufficient context for reliable invocation.

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

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

Schema description coverage is 100%, so the baseline is 3; the description itself adds no parameter-level meaning beyond naming 'path.' The mismatch between the path-focused description and the broad nine-parameter schema creates ambiguity about which parameter should be populated, but the schema's own parameter descriptions are clear.

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

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

The description states a concrete action ('check') on a specific resource ('a path') and adds a useful constraint ('No disk access'), which helps distinguish it from URL, host, or JSON checker siblings. However, it does not define what 'safe' means, and the input schema exposes eight other unrelated parameters that the description does not acknowledge.

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

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

The description gives no explicit when-to-use or when-not-to-use guidance, and with 28 sibling tools there is no routing such as 'for URLs use browser-url-ok' or 'for actual file access use something else.' The word 'path' implies usage, but alternatives and exclusions are left entirely to inference.

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

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

With no annotations, the description must explain side effects, error conditions, or rate limits. It only mentions 'via Open-Meteo', giving no insight into request behavior, failure modes, or whether the tool is read-only.

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 (one sentence) and front-loads the purpose, but the extreme brevity sacrifices necessary detail. It is not verbose, yet it omits critical information about parameter selection.

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

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

Given the lack of an output schema and the presence of nine unrelated parameters, the description is severely incomplete. It does not explain how the place is determined, what the response format is, or how errors are handled.

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?

While the schema covers all parameters, the description does not clarify which parameters are relevant. Many parameters (ref, url, feed, host, json, path, zone) appear unrelated to geocoding, and the intended use of 'city' vs 'query' is unspecified.

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 outcome (latitude and longitude) but does not specify which input parameter (e.g., 'city' vs 'query') identifies the place. This ambiguity makes it difficult for an agent to know how to call the tool correctly.

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 versus siblings like 'weather-hint' or 'timezone'. The description lacks context about scenarios (e.g., geocoding a city name) or alternatives.

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

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It only says 'parse' and gives no information about error handling, return shape, or the fact that many schema parameters are irrelevant and discarded.

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

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

The single sentence is front-loaded, direct, and contains no filler. It is appropriately compact, though it is arguably too thin given the nine-parameter schema and lack of additional context.

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

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

There is no output schema and no annotations, so the description should explain return values and invalid-input behavior. It does neither, and it also fails to account for the many unrelated parameters, leaving an agent to guess what is actually required.

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 GitHub-specific framing for the URL parameter, but it does not clarify that only 'url' is relevant or that the other eight parameters can be ignored.

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

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

The description states a specific action ('Parse') and resource ('GitHub URL') and identifies the expected result ('owner and repo'). It is clearly distinct from sibling shape tools by domain, though it does not explicitly contrast them.

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

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

There is no when-to-use guidance, exclusions, or mention of alternatives. The only usage signal is the phrase 'GitHub URL', which implies the input domain but does not tell an agent when to choose this tool over similar sibling tools.

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

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

With no annotations, the description must carry the full behavioral burden. It adds only 'Titles discarded,' which suggests a count is returned, but it does not disclose that the nine input parameters are effectively ignored, what the output format is, whether network failures can occur, or any rate-limit or authentication concerns. This is minimal disclosure for an operationally nontrivial tool.

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

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

The description is a single, front-loaded sentence stating the primary action and a relevant caveat. It has zero wasted words and does not repeat schema or annotation information, making it highly concise and well-structured.

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

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

Given nine optional parameters, no output schema, and no annotations, a one-sentence description is insufficient. The agent is left to wonder what the return value looks like, whether the parameters are truly irrelevant, and what the tool needs to work correctly. The definition lacks essential invocation context.

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

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

All nine parameters already have descriptive schema text, including explicit statements that values are discarded after shape checks. The tool description adds no parameter-level meaning, so the baseline of 3 for high schema coverage applies. However, the schema descriptions themselves are oddly disconnected from the tool purpose, a confusion the description does nothing to resolve.

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

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

The description states a specific verb ('Count'), a resource ('current Hacker News front-page stories'), and a scope caveat ('Titles discarded'), clearly distinguishing it from sibling counting tools like memory-key-count. It does not merely restate the tool name and is unambiguous about what the tool 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?

The description provides no guidance on when to use this tool versus siblings such as web-fetch, browser-url-ok, or fetch-status. It gives no conditions, prerequisites, or alternatives, leaving the agent without decision support for tool selection.

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

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

There are no annotations, so the description must carry the behavioral disclosure burden. It implies an output of common IANA names but does not say whether the list is static, filterable, ordered, or what the response format is. The schema's 'discarded' notes hint that inputs have no lasting effect, but the description itself never addresses 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 concise and front-loaded with no filler. However, the extreme brevity is not matched to the tool's complexity: eight parameters, no annotations, and no output schema mean the description is under-specified rather than properly concise.

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

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

With no output schema, no annotations, and eight parameters whose relationship to the tool is unexplained, a single sentence is far from complete. An agent cannot determine what the tool returns, which parameters are meaningful, or how to call it correctly.

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

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

All eight parameters have schema-level descriptions, so the baseline is 3, but those descriptions are unrelated to IANA timezone zones (git ref, URL, city, RSS feed, JSON, host, path). The tool description never explains how any parameter influences the returned names, leaving the parameter semantics disconnected and confusing.

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

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

The description identifies a resource (IANA timezone names) and a broad purpose (clock calls), but it lacks a verb such as 'returns' or 'lists'. It also does not distinguish this tool from siblings like timezone or utc-time, so an agent gets only a general sense of what it is.

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

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

'For clock calls' gives a weak usage context, but there is no explicit when-to-use or when-not-to-use guidance. Given the large sibling set containing timezone and utc-time, the absence of any comparison makes routing ambiguous.

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

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

With no annotations, the description carries the full burden of disclosing behavior, but it only says 'fetch' and 'return group counts'. It does not clarify that it is read-only, how it handles missing/invalid robots.txt files, or that the schema contains many irrelevant-looking 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, tightly worded sentence with no filler or redundant details. It uses a clear action-object-result structure.

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?

In the absence of annotations and an output schema, this one-sentence description is not enough to call the tool correctly. The relationship between the 9 optional parameters and the described robots.txt fetch operation is completely unexplained.

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

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

Although the schema has 100% parameter description coverage, those descriptions (e.g., 'Git ref name; discarded after the shape check', 'HTTPS URL to normalize or cite') do not align with the stated purpose of inspecting robots.txt. The tool description adds no clarification about which parameter actually supplies the robots.txt URL.

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

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

The description states a clear action (fetch), a specific resource (public robots.txt), and a constrained output (group counts only). It is more specific than generic web-fetch siblings, though 'group counts' is somewhat ambiguous.

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

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

The description provides no guidance on when to use this tool over alternatives such as web-fetch or normalize-url. There is no mention of appropriate input selection or any conditions that favor 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, the description must fully disclose behavior. It notes 'Key discarded' implying no persistence, but does not state the output format (e.g., boolean) or any side effects. The description is too sparse to be transparent about the tool's 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 very concise (two sentences) with no filler, which is efficient. However, it is too short to convey essential usage details, so it under-specifies rather than being 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?

For a tool with 9 optional parameters and no output schema, this description is grossly inadequate. It does not explain the expected input format, the return value, or how the shape check works. An agent cannot correctly invoke this tool based on the provided description.

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 baseline is 3, but the description does not link any parameter to the Jira key. The parameter descriptions (e.g., 'Git ref name', 'City name') are unrelated to Jira keys, creating confusion about which to pass. The description adds no clarity and may mislead the agent.

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

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

The description clearly states a specific verb ('Check') and resource ('Jira issue key shape'), which distinguishes it from sibling shape tools like domain-shape. However, it does not indicate which parameter serves as the key, leaving invocation ambiguous.

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

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

No guidance is given on when to use this tool versus alternatives like github-repo-shape or domain-shape. There is no mention of conditions, exclusions, or preferred contexts. The agent must infer usage solely from the tool name.

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

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

With no annotations, the description carries the behavioral burden. It does disclose a meaningful behavior: the body is discarded and only the HTTP status is returned. However, it does not mention redirect behavior, the status format, error handling, or any network implications.

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

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

The description is two short sentences with the key behavior front-loaded and no filler. Every word earns its place.

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

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

This tool has 9 parameters, no annotations, and no output schema, yet the description provides only a one-line behavior statement. It does not clarify which parameter to use, what the return value looks like, or how this tool relates to the several URL/status sibling tools, leaving an agent with too much 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 description coverage is 100%, so the baseline is 3 even though the tool description adds no parameter-level detail. The description implies that 'url' is the relevant input, but the schema's own 'url' description says 'normalize or cite,' which does not align with the tool's stated HTTP-status purpose, and the other eight parameters are left unconnected to the described 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 behavior—returning the HTTP status for a public library docs URL—and adds 'Body discarded' to clarify that it does not return page content. It is not a tautology, but it does not explicitly distinguish itself from sibling tools 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?

There is no guidance about when to use this tool versus alternatives, no exclusions, and no mention of a preferred sibling for other cases. The description only implies a narrow URL-status use case, which is thin given the large sibling tool 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?

With no annotations, the description carries the burden of behavioral disclosure. 'Values discarded' is a useful and explicit disclosure that input values are ignored, which implies a read-only, side-effect-free operation. Still, it does not state the return format, whether nested keys are counted, or behavior on empty/invalid input.

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

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

Two short sentences with no filler. The core purpose is front-loaded and the behavioral note earns its place, making this an appropriately concise definition.

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

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

Despite full schema coverage, the tool has 9 optional parameters, no annotations, no output schema, and many siblings. The one-line description does not explain how to invoke the tool, what the return value is, or when to prefer it, leaving significant context missing for an agent.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds the cross-parameter insight that values are discarded, but it does not clarify which parameter represents the JSON object to count or how the nine optional parameters relate to the stated purpose.

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

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

The description states a specific verb ('Count') and resource ('keys in a JSON object'), and adds a clarifying behavioral note ('Values discarded'). It is not a tautology and is distinguishable from siblings like validate-json. However, it does not explicitly connect the 'JSON object' to the tool's input arguments or to a specific parameter, leaving a minor ambiguity.

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. It does not mention sibling tools like validate-json or any conditions for selection, so the agent must infer usage entirely from the name and one-line 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?

With no annotations present, the description carries the full burden, and it does disclose a genuinely useful trait: the read-only normalization behavior and the fact that query and fragment are stripped. However, it fails to surface that the tool also accepts several unrelated params (city, json, ref, path, feed) that are validated and discarded, per the schema. The simple single-URL mental model the description creates partially conflicts with the multi-param reality of the 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?

Exactly two sentences with zero filler: the core behavior is front-loaded and the exclusion detail ('Query and fragment are dropped') earns its place. This is appropriately sized for a simple behavioral contract.

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

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

Despite a 7-parameter schema, no annotations, and no output schema, the description leaves out essential call context: which parameter is the primary input, whether it is required, what the return format looks like, and why a URL-normalization tool accepts city, JSON, git ref, and file-path inputs. The description is complete about output semantics but incomplete about how to construct a correct invocation.

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

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

Schema coverage is 100% — all seven parameters have individual descriptions — so the baseline of 3 applies. The description adds output semantics that map to the `url` parameter, but it never names which parameter is the one being normalized, and several params (url, feed, host, path) are URL-like, creating ambiguity. The description thus adds marginal meaning but does not compensate for the unclear relationship between the behavior and the parameter set.

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

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

The description states a specific verb ('Return') plus a well-defined resource ('origin, host, and path for a URL'), and even clarifies exclusions ('Query and fragment are dropped'). This distinguishes it from validation-oriented siblings like browser-url-ok and web-fetch in substance. It stops short of a 5 because it never explicitly contrasts itself with URL-shape siblings such as domain-shape or github-repo-shape.

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

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

There is no guidance on when to use this tool versus alternatives, no exclusions, and no stated prerequisites. An agent is given zero help choosing between this and domain-shape, fetch-status, or figma-url-shape. The second sentence ('Query and fragment are dropped') is a behavioral constraint, not usage context.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It does reveal one important trait—'No browser is launched'—but it does not say whether a network request is made, what 'opened' means, what side effects could occur, or what the result looks like. This is too thin for a tool whose name suggests browser automation.

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 front-loaded with the core purpose and then gives a necessary caveat in a second sentence. There is no filler, but the brevity borders on under-specification given the tool's nine optional parameters and absent output schema.

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

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

There is no output schema and no annotations, so the description must explain return values, parameter selection, and side effects; it does not. With nine optional parameters and zero required, an agent receives too little context to confidently invoke the tool correctly, especially without knowing what result to expect.

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

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

Schema description coverage is 100%, so the baseline is 3 even though the description adds no parameter-level detail. The description does not clarify which of the nine optional parameters are relevant or how they interact, and the 'url' parameter schema says 'normalize or cite' rather than 'open', which is slightly inconsistent with the description.

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

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

The description states a specific action ('Check whether a URL can be opened') and a key constraint ('No browser is launched'), which gives the agent a clear sense of the tool's scope. However, 'can be opened' is ambiguous—it could mean HTTP reachability, URL syntax validity, or some other check—and it does not explicitly differentiate from siblings like browser-url-ok or 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?

There is no guidance about when to use this tool instead of alternatives such as browser-url-ok, web-fetch, or normalize-url. The note that no browser is launched implies a lightweight check, but it does not state a concrete decision rule or mention any exclusions.

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

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

The phrase 'Query discarded' adds a useful side-effect disclosure, which matters because no annotations are present. However, the description does not state the return format, error behavior, or whether character counting is Unicode-aware, and the mismatch between 'search query' and the schema parameters obscures what behavior the tool actually performs.

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

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

The description is short and the first sentence is front-loaded with the intended action, while the second sentence addresses side effects. But the brevity comes at the cost of essential parameter information, so the sentences do not provide enough substance to be considered well-structured for tool use.

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 complex seven-property input schema and no output schema, the definition is severely incomplete. It does not explain which input field represents the 'search query,' what the count result looks like, or how this tool relates to the many sibling validation and formatting tools.

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

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

The input schema documents each property individually, but none is described as a search query and the description never maps the tool's central notion of a 'query' to any of the seven parameters. With seven plausible string inputs and no connection to the described behavior, an agent cannot determine which argument to pass.

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

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

The description states a clear verb and object ('Count characters in a search query') and notes that the input is discarded, but this is largely a restatement of the tool name. More importantly, the input schema contains no 'query' property—only ref, url, city, feed, host, json, and path—so the actual input resource is unclear and potentially misleading.

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

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

No guidance is provided about when to use this tool or when a sibling such as validate-json, normalize-url, or wiki-title-ok would be more appropriate. The only usage-related signal, 'Query discarded,' describes a side effect, not an invocation context.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only describes the artifact ('short catalog') and says nothing about side effects, read-only behavior, output format, or that several input parameters are discarded.

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

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

The description is very short, but the brevity comes from omission rather than careful economy. A six-word sentence is not enough for a tool with eight parameters, no annotations, and no output schema.

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

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

Given the high parameter count, absent annotations, and lack of output schema, the description is severely incomplete. An agent cannot determine a valid invocation, understand what the parameters do, or know what response to expect from this definition alone.

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

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

All 8 parameters are described in the input schema, so schema coverage is 100%; the description itself adds no parameter-level meaning. It does not clarify how ref, url, city, feed, host, json, or path relate to an HTTP status code catalog, but the schema already documents each parameter individually.

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 'a short catalog of common HTTP status codes,' which narrows what the tool is about. However, it is a noun phrase with no explicit verb, so it never states whether the tool returns, explains, or compiles the catalog, and it does not distinguish itself from sibling tools like 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?

There is no guidance on when to use this tool instead of fetch-status, browser-url-ok, or other siblings. No exclusions, prerequisites, or example contexts are given, leaving the agent to guess the intended use case.

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

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

With no annotations present, the description carries the behavioral disclosure burden. "Prompt discarded" plus the schema's repeated discard notes clearly communicate that inputs are not retained or used for side effects, which is important for a stateless template 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 two short sentences with no filler. It front-loads the core function and then states the key behavior caveat, making it efficient and easy to parse.

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

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

For a tool with no output schema, the description adequately names the return type and makes clear the prompt is ignored. It could more explicitly state whether all arguments are optional and irrelevant, but the absent required fields and the schema's discard notes largely cover that gap.

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

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

The input schema provides detailed descriptions for every parameter, including discard semantics for most of them, so the schema already covers parameter meaning. The description adds no additional parameter-level information beyond its general statement that the prompt is discarded.

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 a three-step thinking template." It clearly distinguishes this tool from the sibling list, where no other tool claims to produce a thinking template, and the added "Prompt discarded" narrows its scope.

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

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

The intended use is implied: call this when a generic three-step thinking template is needed and the prompt should not be processed. However, there is no explicit guidance about when to prefer this tool over alternatives or when not to use it.

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 full responsibility for behavioral disclosure. It only states the action and provides no details on possible failure modes, return format, or whether the timezone name is strictly validated. The schema mismatch further obscures expected behavior.

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

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

The description is a single, grammatically complete sentence with no filler words. It is front-loaded with the main action. However, its brevity comes at the cost of missing essential usage and parameter context, so it is concise but not fully effective.

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

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

A tool that requires a timezone name has no corresponding input property in the schema, and the description offers no workaround or alternative parameter. With no output schema and no parameter guidance, an agent cannot correctly invoke the tool. The definition is fundamentally 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 description mentions a 'named IANA timezone' but the input schema contains no property accepting a timezone name; instead it lists ref, url, city, feed, host, json, and path. The description does not clarify how to specify the timezone, directly contradicting the schema's parameter set. This is a critical gap.

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

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

The description 'Current time in a named IANA timezone' uses a specific verb ('current time') and identifies the resource (IANA timezone), making the core purpose immediately clear. It is distinct from sibling tools like iana-zones or utc-time, since it returns the time for a specific named zone rather than listing zones or giving UTC.

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

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

No guidance is given on when to use this tool versus alternatives. The description fails to mention that this tool is for a specific IANA zone while utc-time is for UTC, or that iana-zones lists available zones. An agent is left to infer usage entirely.

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 only states the output without disclosing behavior such as whether parameters are ignored, whether network access occurs, or what side effects exist. The input schema hints that parameters are discarded after validation, but the description itself does not explain this.

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

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

The description is a single concise sentence with no filler. It is immediately understandable and appropriately sized for a simple timestamp tool.

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

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

Despite its simple output, the tool accepts nine unrelated optional parameters and has many siblings, yet the description does not explain why these parameters exist or whether they affect the returned timestamp. This leaves an agent uncertain about 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 parameters are individually documented in the input schema. The tool description adds nothing about parameters, but the high coverage satisfies the baseline since the schema carries the semantic weight.

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

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

The description 'Current UTC timestamp' clearly identifies the tool's purpose with a specific resource and time standard. It is reasonably distinguished from siblings like timezone and iana-zones by emphasizing UTC, though it does not explicitly contrast with them.

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

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

There is no guidance on when to use this tool versus alternatives such as timezone or iana-zones. The description provides no context about intended use cases, prerequisites, or exclusions.

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

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

The description discloses an important behavioral trait: the body is discarded rather than stored or returned. With no annotations present, other behavior such as return value and error handling is left implied, but the disposal note adds useful context.

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

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

The description is two short sentences with no filler. The main action is front-loaded and the second sentence adds a meaningful side-effect disclosure without wasted words.

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

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

For a simple validation tool, the description plus schema provides a minimally viable picture, but it still leaves gaps: it never maps 'body' to the `json` parameter, does not state what the tool returns, and does not explain the relevance of the other optional fields.

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

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

All seven parameters are already described in the input schema, including 'JSON text to validate; discarded after the check', so schema coverage is essentially complete. The description adds no additional parameter-specific meaning beyond referring to 'a body'.

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: check whether a body is valid JSON, and adds that the body is discarded. It does not explicitly connect 'body' to the `json` parameter or differentiate itself from sibling shape-checking tools, so it misses a fully specific 5.

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

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

No guidance is given about when to use this tool versus alternatives such as file-path-ok, browser-url-ok, or the other shape-checking siblings. The description gives no exclusions, prerequisites, or selection conditions.

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

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

With no annotations provided, the description carries the full disclosure burden, and it falls short. It reveals an external dependency (Open-Meteo) but says nothing about failure behavior, response format, rate limiting, or required inputs. Critically, it hides the tool's apparent multi-mode nature by describing only the weather function while 8 other documented parameters exist, leaving the agent to discover them via schema inspection.

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 structurally efficient and front-loaded with the core purpose, earning credit for brevity. However, this is under-specification rather than genuine conciseness — the description is short because it omits essential information about the tool's other modes and usage, not because it is tightly packed with meaning.

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 seriously incomplete. It does not explain what the 8 non-weather parameters do, how the agent should choose among modes, or what the return value looks like. Given the complexity of the schema and the absence of any structured behavioral hints, the description fails to provide a usable picture of the tool.

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

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

Schema coverage is 100%, so the baseline is 3, but the description actively undermines clarity by mentioning only 'city' while the schema contains 8 additional documented parameters that are not weather-related. The description neither explains what these other modes do nor how they relate to the stated purpose, so it fails to add semantic value and instead introduces confusion.

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

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

The description states a specific function (current temperature) for a resource (city) via a named source (Open-Meteo), which is clear on its face. However, it conflicts with the input schema: 8 of the 9 parameters (ref, url, feed, host, json, path, zone, query) are unrelated to weather, suggesting the tool actually serves multiple modes the description does not acknowledge. It does not meaningfully distinguish itself from geographically-adjacent siblings like geo-hint or timezone.

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

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

No guidance is given for when to use this tool versus the 27 listed siblings. There are no usage conditions, no exclusions, and no mention of the many other parameter modes implied by the schema. An agent has no way to know which of the 9 parameters to supply or when this tool is the right choice.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals that the body is discarded, which is useful, but it does not state that many schema parameters (ref, city, json, path, zone, query) are also discarded or ignored, nor does it describe the request method, redirect behavior, or failure semantics.

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

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

The description is extremely brief with no filler; both sentences carry meaningful information and the main behavior is front-loaded. However, given the tool's 9-parameter schema and lack of sibling differentiation, the brevity veers toward under-specification rather than ideal conciseness.

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

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

For a tool with 9 parameters, no output schema, and no annotations, the description is incomplete. It does not tell an agent which parameter is the primary input, what response fields to expect, or how the other parameters relate to the stated 'public URL' behavior, leaving significant room for incorrect invocation.

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

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

Schema coverage is 100%, so each parameter already has a description. The tool description adds little about parameters beyond the 'public URL' concept, but it does not need to compensate because the schema is already explicit about each property and its discarded status.

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 resource ('a public URL') and observable outputs ('HTTP status and content type'), with 'Body discarded' clarifying that this is not a content-returning fetch. It is clear on its own, though it does not explicitly name how it differs from sibling tools 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?

The only usage hint is the word 'public', which implies internal or authenticated URLs are out of scope. There is no guidance about when to prefer this tool over siblings such as fetch-status, browser-url-ok, or normalize-url, and no explicit statement of what to use if the body is needed.

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

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

The description discloses one behavioral trait: 'Title discarded after the call,' which offers a privacy note. However, with no annotations present, the description carries the full burden and fails to mention whether the operation is read-only, whether it makes external requests, or what happens when the title does not exist.

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

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

The description is a single sentence with the core purpose front-loaded and a relevant behavioral note appended. It is concise, avoids redundancy, and every word earns its place.

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

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

For a tool with nine parameters, no annotations, and no output schema, the description is grossly incomplete. It fails to identify which parameter represents the title, what the return value is, or any prerequisites, so an agent cannot reliably invoke the tool for its stated purpose.

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

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

The schema descriptions provide 100% coverage for the nine parameters, but the tool description references a 'title' that does not exist among any of them. It never maps the described purpose to the actual parameters, creating confusion about which input should be used to supply the Wikipedia title.

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

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

The description clearly states a specific action ('check whether') against a specific resource ('a Wikipedia title'), making the tool's purpose unambiguous. The name 'wiki-title-ok' reinforces this, and it is distinct from sibling tools that operate on URLs, domains, or file paths.

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

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

The description implies the usage scenario — use this tool to verify whether a Wikipedia title exists — but provides no explicit guidance on when not to use it, nor does it mention alternative sibling tools. The context is only implied by the purpose statement, not developed.

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