Australia/Melbourne clock

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

Annotations already establish a read-only, idempotent, non-destructive profile, so the description's extra disclosure—that it discards task text and returns a fixed set of artifacts—adds useful behavior beyond the annotations. It does not contradict any annotation.

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

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

Two short sentences front-load the purpose and outputs, with the important discard behavior stated last. Every clause earns its place; there is no filler.

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

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

For a simple, low-complexity read-only index tool, the description covers what it returns and the main caveat (task text discarded). It could explicitly state whether any parameters are required, but the schema's consistent 'discarded' notes and absence of required fields make this reasonably clear.

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 explains that each of the seven parameters is discarded after a shape check. The description adds only the general 'Task text discarded' statement, which does not materially improve parameter understanding.

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 action ('Find'), a specific resource ('public pay-per-call tool gateway (Monid)'), and enumerates the returned artifacts (CLI setup, how-it-works, skill file, remote MCP hops). This is distinct from the sibling validation/fetch tools and leaves no ambiguity about the tool's role.

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 purpose clause gives a clear use case: use this when you need the Monid gateway index or setup. It also states an exclusion ('Task text discarded') so agents know not to pass a task expecting processing, though it names no alternative sibling for that 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 to carry the safety profile, the description at least discloses that no browser is launched, which is a meaningful behavioral trait. It does not reveal whether an actual network request is made, what the response looks like, or whether there are side effects, so coverage is incomplete but not misleading.

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

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

Two short sentences, with the primary action front-loaded and the critical negative behavior stated immediately after. There is no fluff or redundancy.

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

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

For a tool whose input schema contains seven heterogeneous parameters, no annotations, no output schema, and multiple near siblings, this description is too sparse. It does not clarify whether 'can be opened' means URL-shape validation or an actual network fetch, nor does it explain what the non-url parameters are doing.

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

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

The schema already provides descriptions for all seven parameters, so the description does not need to repeat parameter meanings; its silence is acceptable. Yet the tool description adds no clarification about how the URL parameter relates to the other parameters such as city, feed, or json, so the agent must rely on the schema.

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

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

The description clearly states the operation ('Check whether a URL can be opened') and adds an important negative scoping fact ('No browser is launched'), which helps distinguish it from browser-launching siblings. It is specific enough about the intended action, though it does not name any alternative explicitly.

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 purpose statement implies when the tool would be used—when a non-browser openability check is needed—and the 'No browser is launched' sentence hints at a trade-off against a browser-based sibling. However, no explicit when/when-not guidance or named alternatives are provided.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. The only behavioral remark, 'Expression discarded,' is unclear and does not explain what the tool actually does with the many schema fields, what it returns, or what side effects 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 brief, but it is under-specified rather than concise. Both sentences are too vague to meaningfully guide an agent, and the structure does not front-load useful operational information.

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

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

The schema is rich with many parameters and no output schema exists, so the description must explain the tool's purpose and relationship to those parameters. It fails entirely: there is no mention of outputs, input expectations, or how the arithmetic evaluation relates to the schema fields.

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

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

The schema has detailed descriptions for each parameter, but the tool description introduces an 'expression' concept that has no corresponding parameter. It adds no meaning to the actual parameters and actively misdirects an agent trying to understand how to invoke the tool.

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

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

The description states a specific action ('Evaluate a+b style arithmetic'), but it does not name the resource or connect to the input schema, which contains no arithmetic expression parameter. It fails to distinguish this tool from the many sibling shape-check tools and leaves the actual purpose 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 gives no guidance on when to use calc-eval versus alternatives. There is no mention of context, exclusions, or when to choose a sibling 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 carries the behavioral disclosure burden. It adds a meaningful guarantee: page content is not stored. However, it does not mention potential network-fetch side effects, how non-URL parameters are handled, or any auth/rate-limit expectations, so disclosure is only partial.

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

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

Two short sentences with no filler. The first sentence states the output precisely, and the second adds a useful privacy-relevant trait. Every word earns its place.

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

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

For the stated URL use case, the description plus the 'url' parameter schema is enough to invoke the tool, and the return fields are specified despite the lack of an output schema. However, with nine optional parameters and no annotation context, the description does not clarify whether the non-URL inputs are relevant or should be avoided, leaving the tool less complete than it could be.

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 every parameter. The description adds no parameter-specific meaning beyond the word 'URL', which maps to the 'url' parameter. Baseline 3 applies because the schema 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 names a concrete result ('host, scheme, and HTTP status') and a clear resource ('a URL'), so an agent can tell what the tool primarily does. It does not explicitly distinguish itself from siblings such as fetch-status or normalize-url, which keeps it from a 5.

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

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

There is no guidance about when to use this tool versus alternatives, and no exclusions are stated. The phrase 'Page content is not stored' weakly implies a privacy-preserving citation use case, but it does not direct the agent toward or away from 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?

Since no annotations are provided, the description carries the full behavioral disclosure burden. It does add a useful privacy assertion ('No identifiers are retained'), but it does not state what the tool returns, whether it is read-only, how inputs are consumed, or what happens on 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?

The text is concise and contains no filler, and both sentences are short. However, the brevity hides essential specificity: a 9-parameter, zero-annotation tool needs more than a two-sentence high-level gloss to be 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?

This is a 9-parameter tool with no required fields, no output schema, and no annotations, yet the description does not explain what classification is produced, how the request is structured, or what a caller should expect in return. The description is not sufficient for an agent to correctly call this tool.

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

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

Every parameter already has a meaningful schema description covering its role and discarded behavior, so schema coverage is high. The description itself adds no parameter-level meaning beyond a general privacy note, so the schema is doing the heavy lifting as expected.

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

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

The description says it will 'show how this request is classified,' but it never defines what category system is being used, what input is expected, or what output is produced. This is a vague purpose that does little to distinguish 'compatibility' from sibling shape-checking tools like validate-json, normalize-url, or search-query-len.

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 any of the many sibling tools, and no exclusions or prerequisites are mentioned. 'No identifiers are retained' is a privacy property, not a usage trigger or alternative-routing instruction.

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 adds a meaningful behavioral limitation ('without WHOIS or ownership data') and frames the operation as purely lexical splitting. However, with no annotations, it carries the full transparency burden; it does not disclose that most schema inputs are discarded, how invalid hostnames are handled, or any side-effect/permission expectations.

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

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

A single compact sentence with no filler, front-loaded with the core action and the main behavioral exclusion. It earns its place and is easy to parse quickly.

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 or annotations, and the description is too terse for a tool whose schema contains seven unrelated fields and whose family includes several shape/URL siblings. Missing return format, normalization rules, which parameter to populate, and any guidance on when to prefer this over siblings leaves the agent underequipped.

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

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

The schema covers all seven parameters with descriptions, so the baseline is 3, but the description itself adds no parameter-level meaning and never names 'host' as the relevant input. Since there is no required field, the mismatch between the declared hostname focus and the many unrelated optional inputs makes correct 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 uses a specific verb ('split'), resource ('hostname'), outcome ('labels'), and an explicit negative scope ('without WHOIS or ownership data'), so the core action is clear. It does not, however, distinguish it from sibling shape tools like github-repo-shape or figma-url-shape, and the schema lists seven unrelated optional inputs that muddy the declared purpose.

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

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

No guidance is given about when to use this tool versus normalize-url, github-repo-shape, or other siblings. The only implied context is the hostname subject, but there are no explicit when/when-not conditions, prerequisites, or alternative tool mentions.

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 still conveys the key behavior: an HTTP HEAD request against a public URL, non-mutating and returning no body. It omits edge-case behavior like redirects or error statuses, but for a simple read-only status tool the core transparency is adequate.

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

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

A single front-loaded sentence with no filler; every word carries 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?

No output schema or annotations exist, and the tool accepts nine unrelated optional parameters with sibling tools covering many of those domains. The description only addresses the URL/HEAD case and neither specifies the return format (status code vs. boolean) nor explains how the other parameters relate to 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?

Although schema coverage is 100%, the description does not say which of the nine optional parameters is the HEAD target. The schema's `url` description says 'HTTPS URL to normalize or cite,' which conflicts with the description's implication that a URL will be HEADed, so the definition adds confusion rather than clarifying parameter selection.

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 result to 'status only,' making the core purpose clear. It does not explicitly name sibling tools to differentiate, and the broad nine-parameter schema makes the actual scope less obvious than the sentence alone suggests.

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?

'Status only' implies this is the lightweight option when response content is not needed, which is a useful usage signal. But there are no explicit when-to-use vs. when-not-to-use instructions or references to alternatives such as web-fetch or browser-url-ok.

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 behavior—'Path discarded'—but fails to state whether the tool makes network calls, what happens with invalid URLs, what output format is returned, or how parsing is performed. This is insufficient for a tool with no other transparency 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 short and front-loaded with no filler words, which is good. But it is under-specified for the complexity of the input schema, so the brevity comes at the cost of necessary operational detail.

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

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

Given nine parameters, no annotations, no output schema, and many sibling tools, the description is far too sparse. It does not describe return values, required inputs, failure behavior, or how this tool relates to normalize-url and other URL tools. An agent would have difficulty calling it correctly.

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

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

Schema description coverage is 100%, so the baseline is 3, and the description does add the 'Figma file URL' qualifier. However, the schema's 'url' property is described as 'HTTPS URL to normalize or cite,' which conflicts with the assertion that this tool parses Figma URLs. The description also does not clarify which of the nine optional parameters actually applies to this tool, 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: 'Parse a Figma file URL.' This is a clear verb+resource pairing that goes beyond a tautology. However, it does not distinguish itself from sibling URL tools like normalize-url or browser-url-ok, and the meaning of 'Path discarded' is 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 implies it should be used when a Figma file URL needs to be parsed, which gives some contextual guidance. But it provides no explicit exclusions or alternatives, so the agent may struggle to choose between this and the many URL-related 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 provided, the description carries the full burden of behavioral disclosure. It usefully states that there is no disk access, indicating a side-effect-free check. However, it does not explain what 'safe' means, what criteria are evaluated, or what the tool returns.

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

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

The description is two short sentences with no wasted words. The core action is front-loaded, and 'No disk access' adds an important behavioral qualifier efficiently.

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

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

The tool has no output schema and no annotations, yet the description does not explain the result format or the meaning of 'looks safe'. With nine optional parameters and several sibling validation tools, an agent would need more context to invoke this tool confidently and interpret its response correctly.

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

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

The input schema has 100% parameter description coverage, so each parameter already has its own explanation. The description itself adds little parameter-level meaning beyond identifying 'path' as the core input, which is sufficient given the 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 the verb and resource: it checks whether a path looks safe. It also adds a distinguishing trait, 'No disk access', which sets it apart from tools that actually interact with files or URLs. However, 'looks safe' is somewhat vague and does not specify what kinds of path safety are considered.

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

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

The description gives no explicit guidance on when to use this tool versus alternatives like browser-url-ok, normalize-url, or wiki-title-ok. 'No disk access' implies it is a safe, lightweight check, but the description does not state when it should be preferred or when it should be avoided.

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 only mentions that the call goes through Open-Meteo and does not disclose that most parameters are discarded, whether the operation is read-only, or what happens on a failed lookup.

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 and contains no filler, making it easy to parse. It is arguably too terse for a seven-parameter tool, but the conciseness itself is not the main weakness.

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

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

With no annotations, no output schema, and a confusing seven-parameter input, the description is not self-sufficient. It omits which parameter supplies the place, what the return payload looks like beyond lat/lon, and how the discarded parameters should be treated, leaving too much 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?

The schema already documents all parameters, so the baseline is 3. The description's word 'place' weakly points toward 'city', but it does not explicitly map the purpose to the correct parameter or clarify how the other shape-check/discarded parameters relate to the tool.

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

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

The description states the core action: it resolves a place to latitude and longitude, which is distinct from weather-hint and other siblings. However, it is phrased as a noun phrase rather than a clear directive and does not say which input parameter represents the place.

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 geo-hint instead of weather-hint, timezone, or other sibling tools. The description also does not tell the agent that among the seven schema parameters, only 'city' is the likely place input and that the others are irrelevant or discarded.

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 only says 'parse' and omits output format, error handling, side effects, and how irrelevant schema fields are treated.

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

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

The description is a single, focused sentence with no filler; the verb and object are front-loaded and 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?

Given the mismatched 9-parameter schema and no output schema, the description is far too incomplete for an agent to know what to pass or what to expect; it lacks parameter mapping, output details, and error 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 has 9 optional parameters with generic, mostly unrelated descriptions (e.g., city, feed, zone, query), and the description does not specify which parameter holds the GitHub URL or that the others are ignored, making correct input mapping impossible.

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') and a specific resource ('owner and repo from a GitHub URL'), which clearly distinguishes it from generic URL and domain tools like normalize-url or domain-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?

The description gives no guidance on when to use this tool versus sibling URL/shape tools, nor any conditions, disambiguation, or alternative references.

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

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

With no annotations, the description carries the burden and does disclose a notable behavioral trait: titles are intentionally omitted from the result. However, it does not explain how the nine schema parameters relate to the call or whether any are ignored, which is a 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?

Two short sentences, front-loaded with the action and then the key constraint. No filler 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 zero-required-param counter, the core call is clear, but without output schema or annotations, the description does not explicitly define the return format or clarify whether any of the nine optional parameters should ever be supplied. Adequate for a simple tool, with clear gaps.

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

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

Schema coverage is 100%, so the input schema already describes every parameter; the description adds no per-parameter meaning. The absence of any statement that this tool takes no meaningful arguments leaves the role of the nine optional parameters ambiguous, but the schema keeps this at 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?

States a specific verb ('Count'), a concrete resource ('current Hacker News front-page stories'), and a key output constraint ('Titles discarded'). It is clearly distinct from the sibling shape-check and validation tools.

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

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

The 'current' and 'Titles discarded' phrases imply the tool is for a quick numerical count rather than fetching content, but there is no explicit when-to-use/when-not-to-use guidance or named 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 already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds that the names are a curated 'common' subset for clock calls, which is a mild behavioral trait. However, it does not explain that the schema parameters appear to be discarded/shape-checked or how the tool handles unexpected inputs.

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 padding, so it is concise in word count. But for a tool with seven confusing parameters and no output schema, this level of brevity is under-specification rather than effective conciseness. The description does not earn its length because it omits essential clarifying information.

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

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

There is no output schema, and the description does not state return format, filtering behavior, or how the parameters relate to the tool's purpose. The agent cannot determine what a call to iana-zones actually produces or why the schema includes refs, URLs, cities, feeds, hosts, JSON, and paths. This is incomplete for a tool with this much schema 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 only ~29%, and the description contributes nothing about parameters. The seven listed properties (ref, url, city, feed, host, json, path) seem unrelated to 'IANA timezone names,' and their individual descriptions suggest discard/shape-check behavior. The description fails to resolve this confusion or compensate for the low 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 tells the agent the tool is about 'Common IANA timezone names for clock calls,' which identifies the resource and use case. However, it lacks a verb like 'list,' 'get,' or 'validate,' and 'IANA timezone names' largely restates the tool name 'iana-zones.' It is more than a tautology but still vague about the exact operation.

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' implies a context, but there is no guidance on when to use this tool versus sibling tools like 'timezone' or 'utc-time.' No exclusions or alternative-selection criteria are provided, so the agent is left to guess which tool fits a given request.

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 implies a read-only fetch and public access, but does not mention network behavior, failure modes, or other 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?

The description is a single, focused sentence with no filler words, immediately stating the action and expected result.

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 says 'group counts only' but does not clarify which parameters are actually used, what constitutes a group, or how errors are handled. With no output schema, more contextual detail is needed.

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?

Despite 100% schema description coverage, the parameter descriptions are generic and mismatched to the tool's purpose (e.g., url is 'HTTPS URL to normalize or cite', query is 'Search text'), adding confusion rather than meaningful semantics for fetching robots.txt.

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

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

The description clearly states the action ('Fetch'), the target ('a public robots.txt'), and the output ('return group counts only'), making the tool's purpose specific and distinguishable from generic fetch tools.

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

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

No guidance is provided on when to use this tool instead of related siblings like web-fetch or fetch-status, nor any indication of which input parameter should be supplied.

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

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

There are no annotations to cover safety or side effects, so the description must carry the behavioral burden. It does state 'Key discarded,' which signals no retention, but it does not disclose what the tool returns, whether it succeeds/fails, or how it handles invalid shapes. This is insufficient for a check-style tool without an output schema.

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

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

The description is extremely short and front-loaded with the main purpose. The second sentence carries the only behavioral detail without repeating the first. It is concise, but the terseness contributes to the ambiguity around which parameter to 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?

The tool is simple, but the schema is confusing and there is no output schema or annotations. The description does not explain return values, validation criteria, or which input field receives the Jira key. An agent would struggle to invoke this tool correctly despite knowing its high-level 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 has many string parameters with descriptions, but none correspond to a Jira issue key. The description mentions 'Key' but never maps it to any schema property. The presence of unrelated parameters like city, feed, json, and path makes it even harder for an agent to know what to pass. The description does not remedy this confusion at all.

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 a Jira issue key shape.' This clearly distinguishes it from sibling shape-check tools like github-repo-shape or domain-shape. The second sentence adds a side-effect note without confusing the core purpose.

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

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

No usage context is provided. The description never says when to use this tool instead of alternatives, nor does it mention any exclusions or prerequisites. It only implies that this is for validating Jira issue keys, but provides no routing 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 present, the description carries the full burden. It does disclose one key behavior proactively: the tool returns only the HTTP status and discards the body. However, it is silent on error behavior, redirects, network assumptions, and why so many unrelated parameters like city, json, path, and zone are present, leaving the behavioral picture 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 only two sentences and has no filler. The core outcome is front-loaded, and 'Body discarded' adds a useful behavioral detail without extra words. It is arguably under-specified for the schema complexity, but it is structured well and each sentence 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?

There is no output schema, no annotations, and nine optional parameters, so the description carries a heavy completeness burden. It says the tool returns an HTTP status but does not explain the response shape, which parameter is intended, or what happens if multiple/unrelated parameters are supplied. The definition is not complete enough for safe 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 parameters already carry their own meaning; the baseline is appropriately set at 3. The tool description adds no per-parameter clarity and merely points toward the URL concept. Given nine optional parameters, the description should at least tell the agent which parameter is relevant, but it does not.

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—HTTP status—for a specific resource, a public library docs URL, and notes that the body is discarded. This is more specific than generic 'check URL' and distinguishes it from content-returning siblings such as web-fetch. It does not explicitly contrast it with fetch-status, browser-url-ok, or normalize-url, so sibling differentiation is incomplete.

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/when-not-to-use guidance and no mention of alternatives. 'Body discarded' implies the tool is status-only, but the description never tells the agent to choose this over fetch-status, web-fetch, or the url-ok tools when a different kind of result or behavior 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?

With no annotations, the description must carry the burden. It discloses one relevant behavior, 'Values discarded', which tells callers not to depend on parameter values. However, it does not state the return value, any side effects, or whether this is a pure in-memory read, so transparency is only partial.

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

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

Two short sentences with no filler. The main action is first, and the behavioral note 'Values discarded' earns its place in the second sentence.

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 incomplete for an agent facing 9 optional parameters and no output schema. It never states which parameters constitute the JSON object to count, how to supply it, or what the tool returns, so a caller could reasonably pass the wrong input such as the 'json' string parameter.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds a global hint that values are discarded, but it does not specify that the count applies to which of the 9 optional parameters are provided, nor how the JSON object should be passed.

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

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

Description names a specific action and resource: 'Count keys in a JSON object. Values discarded.' This is clear and distinguishable from sibling tools like validate-json and shape-check tools. It loses a point because it does not explicitly state that the JSON object is the set of supplied arguments, leaving some ambiguity about the input target.

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 by the verb 'count keys' – use it when a JSON object's key count is needed. There are no explicit when-to-use/when-not-to-use instructions or references to alternatives among the sibling tools.

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

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

With no annotations, the description carries a heavy burden. It does disclose one useful behavior—query and fragment are dropped—but it does not mention error handling, URL validation rules, or whether any network or side effects occur. This is a partial, not complete, behavioral disclosure.

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 with no filler. The core purpose is front-loaded, and the key transformation ('Query and fragment are dropped') is stated in the second sentence. Every word earns its place.

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

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

The schema is nontrivial with seven parameters, several marked as 'discarded', and there is no output schema or annotations. The description does not explain return format, failure behavior, or why multiple seemingly unrelated parameters exist, leaving an agent uncertain about safe 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 high since every parameter has a description, so the baseline is 3. The description clarifies that 'url' is the primary input, but it does not explain the unrelated parameters such as 'ref', 'city', 'feed', and 'json', nor the surprising presence of 'host' and 'path' as inputs alongside being outputs.

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

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

The description uses a specific verb ('Return') and identifies the resource ('origin, host, and path for a URL'). It also adds a distinguishing behavior ('Query and fragment are dropped'), which separates it from generic fetch or validation tools, though it does not explicitly compare against named 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 when-to-use or when-not-to-use guidance, and no alternatives are named. The description implies it is appropriate when normalized URL components are needed, but it leaves the decision to the agent without stating 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does disclose one behavioral trait ('No browser is launched'), but it omits side effects, network behavior, result format, and the fact that most parameters are discarded after the check. The schema says values are discarded, but that context is not in the tool description itself.

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

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

The description is extremely short and front-loaded: the primary action appears first and the key qualifier 'No browser is launched' appears second with no filler. It loses a point only because the brevity leaves out important contextual information.

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

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

For a tool with nine heterogeneous optional parameters, no annotations, and no output schema, a one-line description is not enough. The agent is left without guidance on which parameter to supply, what the return value looks like, or why non-URL parameters exist. Some useful context does exist, so this is not a 1.

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 explanatory description. The tool description adds no parameter-level meaning, but the baseline of 3 applies because the schema is doing 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 states a concrete action and object ('Check whether a URL can be opened') and adds a useful qualifier ('No browser is launched'). However, it does not match the tool's actual input surface: the schema lists nine unrelated optional parameters such as city, feed, json, zone, and query, so an agent cannot tell whether this is a URL reachability check, a multi-purpose validator, or a shape-checking utility.

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 browser is launched' provides an implicit usage signal, especially alongside siblings like browser-url-ok, suggesting this is a lighter-weight check. But the description never names alternatives, gives explicit when-to-use/when-not-to-use conditions, or explains how it differs from normalize-url, fetch-status, or web-fetch.

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

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

Without annotations, the description carries a heavier burden, and 'Query discarded' does disclose the key privacy-relevant behavior that input is not retained. However, it does not describe the return value format, edge-case handling, or how non-query fields are treated, leaving meaningful behavioral gaps.

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

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

The description is two short sentences with the core operation front-loaded and no wasted words. 'Query discarded' earns its place as a meaningful behavioral note. This is an appropriately sized definition for a simple utility.

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

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

For a tool with no annotations and no output schema, the description covers the basic operation and data handling, but it omits the return format and leaves the large optional-parameter schema unexplained. An agent could likely invoke it via 'query', but might hesitate given the many unrelated fields.

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

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

The schema already gives every parameter a description, and the 'query' property clearly maps to the described search query. The description adds the role of the query as the value being counted, but it does not clarify whether the many other optional properties are ignored or how an agent should choose among them.

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') and a specific resource ('a search query'), with 'characters' clarifying the unit being measured. It is not perfectly differentiated from siblings, but it is clear and not merely a tautology because it adds the character-count and discard details.

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 this tool versus sibling tools such as validate-json, normalize-url, or the various shape-checking tools. 'Query discarded' hints that it is a lightweight stateless utility, but no explicit usage context or exclusions are provided.

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

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 does not state whether the tool is read-only, whether it performs any network or disk access, what output it returns, or whether parameters are discarded. The catalog nature implies passivity, but that is not explicit.

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, so it is concise, but the brevity is a symptom of under-specification rather than efficient packaging. It contains no front-loaded usage information and leaves the mismatched schema unexplained.

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

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

With no annotations, no output schema, no required properties, and 18 optional-looking parameters, this one-line description is far from complete. An agent has no definition of what a successful call looks like, what the tool returns, or which parameters are relevant.

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 per-property descriptions, but the tool description does not map any of the 18 properties to the status-code catalog, and no property obviously represents a status code. The 'http' property refers to an HTTP method name, not a status code, so calling the tool with the correct parameter is largely guesswork.

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 domain—HTTP status codes—and implies the tool provides a catalog, but it uses no action verb and does not say how to query it. It reads almost as a restatement of the tool name and does not distinguish it from sibling tools like fetch-status or web-fetch.

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

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

There is no guidance on when to use this tool versus alternatives, nor any hint about what input it expects. An agent cannot tell whether to pass a status code, a URL, or a search query, and no exclusions or alternative tool names 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 present, so the description carries the full burden of behavioral disclosure. 'Prompt discarded' hints that input is ignored, but the tool silently accepts nine parameters and the description does not state whether the call has side effects, requires auth, or returns a static vs dynamic template. The terse phrase is not enough.

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

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

The two sentences are exceptionally short and front-load the main action, but 'Prompt discarded' is an ambiguous fragment. The description is under-specified rather than efficiently complete, so it earns only a middling score.

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 documented parameters and no output schema, the description should clarify whether the params are merely accepted or actually affect the result, and what form the three-step template takes. It only says the prompt is discarded, leaving critical calling context missing.

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

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

The schema documents every parameter individually, so the description does not need to add parameter-level detail. It does add a global hint that input is discarded, but this is vague and does not tell the agent which of the parameters, if any, affect the returned template.

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 deliverable ('Return a three-step thinking template'), so an agent understands the core action. However, it does not explain how this differs from sibling tools beyond the distinctive name, and 'Prompt discarded' adds ambiguity rather than clarifying 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?

There is no guidance about when to choose think-steps over alternatives such as geo-hint or validate-json, and there are no exclusions or preconditions. The only implied context is that a thinking template is wanted, which is too thin to guide selection.

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

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

With no annotations provided, the description must carry the burden of behavioral disclosure, but 'Current time in a named IANA timezone' only implies a read-only lookup. It does not state error handling for invalid zone names, DST behavior, output format, or whether the timezone is supplied as a parameter.

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

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

The description is a single front-loaded sentence with no filler. It is appropriately concise in form, although it omits critical parameter and behavior details.

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

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

For a tool with no annotations and no output schema, the description must provide more context to be callable, but it only states the high-level operation. The mismatch between the described IANA timezone input and the unrelated schema properties leaves a significant completeness 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 lists seven parameters (ref, url, city, feed, host, json, path), none of which plausibly represents an IANA timezone name, while the description never maps 'named IANA timezone' to any parameter. The schema property descriptions are unrelated to timezone lookup, so the description adds no usable parameter semantics and an agent cannot determine how to pass the required 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?

Description states the tool returns current time for an IANA timezone, naming both the action ('Current time') and the resource ('named IANA timezone'). This is enough to distinguish it from sibling tools like utc-time and iana-zones, though it does not mention those siblings explicitly.

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

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

The description offers no when-to-use guidance or exclusions, and it does not reference alternatives such as utc-time or iana-zones. An agent must infer from tool names and the phrase 'named IANA timezone' when this tool is appropriate.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It only says 'Current UTC timestamp' and does not reveal that all input parameters are discarded, whether any network or side effect occurs, or what format the timestamp uses.

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, but it is under-specified given the tool's surprisingly complex input schema. A one-liner can be concise, but here it leaves too much unexplained to be considered 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?

The tool has 9 optional parameters, no output schema, and no annotations. The description only states the return value and gives no context about why parameters exist, whether they affect behavior, or what output format the agent should expect. This is incomplete for a tool with this much schema surface area.

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

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

Schema description coverage is 100%, so the baseline is 3. The description itself adds no parameter meaning, but each parameter already has a description in the schema. The unusual fact that all params are discarded is documented only in the schema, not reinforced in 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 clearly states that the tool returns the current UTC timestamp. It is a noun phrase rather than a verb-led sentence, but the meaning is unambiguous and distinguishes it from sibling tools like timezone or iana-zones.

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

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention that the nine input parameters are effectively ignored, nor does it explain any conditions for use.

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 that the body is discarded, which is useful transparency about data persistence. However, it says nothing about return values, error behavior, or side effects, so the disclosure is partial.

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

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

The description is one short, front-loaded sentence with no filler. Both clauses carry meaning, and the behavioral note about discarding the body is efficient.

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

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

The tool has no annotations, no output schema, and seven parameters, yet the description does not identify which parameter is the JSON body, what the result or failure mode looks like, or how the other parameters relate. The schema helps, but the description alone leaves an agent with too many open questions.

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

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

The schema already describes all seven parameters, so the baseline is 3. The description adds no parameter-level detail and uses the ambiguous word 'body' without mapping it to the 'json' parameter, providing no additional value beyond the schema.

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

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

The description states a specific verb ('check') and resource ('valid JSON'), and the tool name reinforces the target. It is clear enough to be understood on its own, but it does not explicitly differentiate itself from the many other validators 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?

No when-to-use guidance is provided, no exclusions are given, and no alternatives are mentioned. The wording implies 'use this when you need to validate JSON,' but does not help an agent choose between this and related 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, and the description does not disclose whether the tool makes an external network call, what failure modes exist, or whether other parameters are silently ignored. The parameter descriptions vaguely state that many fields are 'discarded', but this is not integrated into a coherent behavioral picture.

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

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

The main description is a concise one-liner: 'Current temperature for a city via Open-Meteo.' It avoids unnecessary words. The schema itself contains clutter, but the description portion is efficient.

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

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

The tool lacks expected contextual details: no output schema, no units (e.g., Celsius/Fahrenheit), no example usage, and no error handling notes. The description is too sparse for an agent to know exactly what response to expect or how to handle failures.

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

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

Although every parameter has a schema description, most descriptions are generic and likely copied from other tools (e.g., 'Git ref name; discarded after the shape check', 'JSON text to validate; discarded after the check'). The only plausible relevant parameter, 'city', has a confusing description that says it is 'discarded after the call'. No parameter is marked required, and there are no enums or usage examples.

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 primary action: returning the current temperature for a city via Open-Meteo. It is specific enough to distinguish the tool's core purpose, though it does not explicitly contrast with sibling tools.

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

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

No guidance is provided about when to use this tool versus alternatives. The description does not mention that the 'city' parameter is the only relevant input, nor does it explain how this tool relates to 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 carries the behavioral burden and does disclose one important trait: the response body is discarded, leaving only HTTP status and content type. It does not mention network side effects, redirects, timeouts, rate limits, or what failures look like, so transparency is partial.

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

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

The description is two tight sentences with zero filler; the primary result is front-loaded and the important body-discarded qualifier is stated plainly. 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?

Core behavior is described and the schema handles parameter meaning, so the definition is minimally viable for a URL-fetch tool. It is incomplete overall because there is no output schema, no annotations, no error/status behavior, and no sibling routing guidance, leaving an agent to guess when this is the right fetch tool.

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

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

Schema description coverage is 100%, so the baseline applies; every parameter already has a description in the schema. The tool description adds only the 'public URL' scope and body-discarded behavior, but does not explain how the other eight optional schema parameters relate to the described 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 that the tool returns HTTP status and content type for a public URL and that the body is discarded, so an agent can understand the core operation. It lacks explicit differentiation from siblings like fetch-status or browser-url-ok and does not explain the many non-URL schema parameters, so it stops short of a 5.

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

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

No guidance is given about when to reach for web-fetch rather than a sibling such as fetch-status, browser-url-ok, or normalize-url. The only implied usage is 'public URL' vs. private, and there are no exclusions or alternative routing 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 present, the description carries the full burden of behavioral disclosure. It only says the title is 'discarded after the call,' but does not explain return values, network behavior, errors, 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?

The description is short and the first sentence is front-loaded. However, the second sentence about discarding the title is disconnected from the schema and does not add usable 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?

The definition lacks the essential mapping between the described 'title' and any input parameter. With no output schema and no annotations, the response format and invocation details are also missing, making the tool context 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 refers to a 'title,' but the input schema contains no title parameter. The listed properties such as ref, url, city, feed, host, json, and path have unrelated descriptions, leaving an agent unable to determine which argument represents 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 states a specific action and resource: 'Check whether a Wikipedia title exists.' That is clear and non-tautological. The downside is that it does not explicitly differentiate from sibling tools or explain how the title is supplied.

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 wording implies the tool should be used when an agent needs to verify a Wikipedia title's existence. However, there is no explicit when-to-use/when-not-to-use guidance and no mention of alternatives such as web-fetch.

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