ISO country MO

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

With no annotations, the description carries the full burden. It does disclose an important behavior: 'Task text discarded.' However, it leaves ambiguity around whether remote MCP hops are actually invoked, whether authentication is needed, and whether costs are incurred.

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 tight sentence with no filler. It front-loads the core purpose and then packs return value and privacy behavior into a compact, readable form.

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

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

The tool has 9 optional parameters, no output schema, and no annotations, yet the description does not clarify how the parameters relate to finding the gateway or whether they are all essentially ignored. It also does not explain terms like Monid, remote MCP hops, or the expected output structure, leaving significant 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 description coverage is 100%, so the schema already documents all 9 parameters. The description adds little per-parameter meaning; 'Task text discarded' is a general behavioral note rather than an explanation of ref, url, city, feed, host, json, path, zone, or query.

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

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

The description states a specific action ('Find') and a specific resource ('public pay-per-call tool gateway (Monid)'), and lists what it returns. It is more informative than a tautology, though it does not explicitly distinguish itself from the many 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?

There is no guidance about when to use this tool instead of a sibling, no stated conditions, and no exclusions. The description only says what the tool does; it does not tell the agent how to decide between this tool and alternatives.

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

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

With no annotations, the description carries the full burden for behavioral disclosure, but it only reveals one trait: no browser is launched. It does not say whether a network request is made, whether the check is purely syntactic, whether parameters are discarded, or what the result indicates. This leaves the tool's actual behavior largely unspecified.

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, and the core purpose is front-loaded. Every sentence contributes useful 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 9-parameter tool with no output schema and no annotations, this description is too thin. An agent cannot tell which optional parameter to populate, whether the check is syntactic or network-based, what the return value looks like, or how to choose this over sibling URL tools. The available context makes the gaps significant.

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-specific meaning. The description does not state that the `url` field is the main input, and the schema's url description ('HTTPS URL to normalize or cite') seems oriented toward another tool. Still, the schema does document every parameter at a basic level.

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 ('check') and resource ('whether a URL can be opened'), so it is not a tautology. 'No browser is launched' adds a useful differentiator from the playwright-url-ok sibling. However, 'can be opened' is somewhat ambiguous about whether this is syntax validation, reachability, or rendering compatibility.

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 negative statement 'No browser is launched' implies this tool is appropriate when a non-browser check is desired, but it never explicitly names alternatives like playwright-url-ok, fetch-status, or normalize-url. The guidance is implied rather than stated, and there are no when-to-use or when-not-to-use 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure, but it only reveals that the expression is discarded. It does not state whether a result is returned, what success or error behavior looks like, or whether the operation is read-only apart from the implied computation, which is insufficient without annotation support.

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

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

The text is very short and front-loaded with no wasted words, but the brevity crosses into under-specification. Two fragments cannot support correct invocation of a nine-parameter tool, especially when the described 'expression' input is absent from the 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?

With nine parameters, no output schema, and no annotations, an agent needs substantial guidance, but the description provides none about return values, parameter selection, or expected behavior. The tool is effectively unusable from its 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 nine schema parameters already have individual descriptions, so the baseline is high, but the description adds no value in mapping them. It introduces an 'expression' concept that has no corresponding parameter, actively confusing which schema field should carry the arithmetic expression. The description fails to compensate for the gap between its stated purpose and the actual parameters.

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

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

The description states a specific operation, 'Evaluate a+b style arithmetic', which clearly distinguishes this tool from all listed sibling tools that handle URLs, files, JSON, timezones, and other formats. However, 'a+b style' is informal and the description never connects to the actual schema parameters, leaving how the expression is supplied 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?

There is no guidance about when to use this tool versus any sibling tool, and no conditions, prerequisites, or exclusions are given. The only contextual hint, 'Expression discarded,' does not establish a recommended usage scenario, so the description provides essentially no usage guidance.

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

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

There are no annotations, so the description is the only source for behavioral disclosure; it contributes just one trait: 'Page content is not stored.' It does not disclose whether a network request is made, redirect/error behavior, rate limits, authentication requirements, or whether the operation 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?

Two short sentences front-load the return value and append a privacy guarantee; there is no filler. The description is easy to scan and appropriately compact for a simple utility, even if thin.

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 and no annotations, the description leaves important context to inference: output format, failure behavior, and relation to sibling URL tools. The schema covers parameters, but the overall picture is incomplete for confident selection and invocation.

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

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

All nine parameters are documented in the schema at 100% coverage, so the baseline of 3 applies; the description adds no parameter-specific meaning beyond pointing at URL as the primary input. It doesn't clarify why the other eight optional parameters exist, but the schema already marks them as 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 action—return host, scheme, and HTTP status for a URL—so the tool's core function is identifiable. It does not explicitly distinguish citation from closely related siblings such as fetch-status or normalize-url, and the 'citation' label is left unexplained.

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

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

The description contains no when-to-use guidance, no exclusions, and no named alternatives. An agent facing many URL-related siblings cannot tell from this text when citation should be preferred.

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 behavioral burden; it does disclose that identifiers are not retained and that several inputs are discarded after checks. However, it does not say whether any network/read side effects occur, whether the tool is read-only, or what 'classification' does beyond looking at the request.

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 compact and front-loads the main action in the first sentence. The privacy statement is useful, but the brevity leaves important selection and output details unaddressed.

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, no output schema, nine optional parameters, and many closely related siblings, the description is critically incomplete: it does not explain what classification output to expect, how to choose a parameter, or how this tool relates to the sibling shape-checkers. The privacy note is the only contextual addition.

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 and the schema already documents each parameter and its discard behavior. The description adds only a general privacy guarantee, not parameter-specific semantics or guidance on choosing among the optional fields.

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

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

The description gives a specific verb ('Show') and object ('how this request is classified'), so it is not a tautology, but it never defines the classification scheme or what 'compatible' means. It also does not distinguish this generic classifier from the many sibling shape-checkers, leaving the agent to guess its exact 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?

There is no guidance on when to call compatibility versus any sibling tool, no exclusions, and no instruction about which of the nine optional parameters to supply. The privacy note weakly implies a safe context, but that is not enough to route the agent.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions that WHOIS/ownership data is excluded, but it does not disclose the output format, normalization behavior, error behavior, or how the many other parameters are handled.

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

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

The description is a single front-loaded sentence with no filler. Every phrase earns its place, and the core behavior plus a key limitation are communicated 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 annotations and no output schema, yet it has nine parameters. The description covers only hostname splitting and leaves the expected return value, the relevant parameter to pass, and the fate of the other parameters 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 schema already documents each parameter and even mentions some are discarded. The description adds little parameter-level meaning beyond pointing at hostnames, and it does not clarify how the other eight 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 is specific: it names the verb 'split' and the resource 'hostname', and it explicitly scopes out WHOIS/ownership data. This clearly distinguishes the tool from sibling URL, repo, or Jira shape tools.

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

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

The description implies usage: use it when you need to decompose a hostname into labels. However, it does not name any sibling alternatives or state explicit when-to-use/when-not-to-use conditions, so the guidance stays implicit.

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

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

With no annotations, the description carries the disclosure burden. It does disclose a read-only, bodyless operation on public URLs and that only status is returned. However, it omits error, redirect, timeout, and response-format behavior, and it does not mention that many schema fields 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?

One dense, front-loaded sentence with no filler. The verb, resource, and output scope are immediately clear.

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 9-parameter, 0-required, no-output-schema tool with no annotations, this is under-specified. It does not define what 'status' looks like in the response, which parameter to supply, or how errors and redirects 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?

Schema description coverage is 100%, so the baseline applies. The description only echoes 'URL' without naming the url property or clarifying which of the nine optional parameters actually matters. It adds little beyond the schema.

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

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

The description names a specific method (HEAD), a resource (public URL), and an outcome (status only). This clearly distinguishes it from content-fetching siblings like web-fetch and from URL validation tools like browser-url-ok.

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

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

The description implies use for lightweight public-URL checks when the body is not needed, but it does not explicitly state when to prefer this tool over web-fetch, browser-url-ok, or playwright-url-ok. It gives context but no alternatives or exclusions beyond 'public.'

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

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

No annotations are provided, so the description must carry the behavioral burden. It discloses only one behavioral detail: 'Path discarded.' It does not say whether the tool validates, normalizes, fetches, returns parsed components, or has any side effects, leaving an agent with limited understanding of the operation.

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

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

The description is extremely concise and front-loaded: the action is stated first and the path caveat follows. No words are wasted, though the brevity approaches under-specification for a tool with nine parameters.

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

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

With nine parameters, no output schema, no annotations, and a large sibling list, a one-sentence description is not sufficient. It omits return behavior, validation semantics, network safety, and how to choose this tool over normalize-url or other shape checkers.

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

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

Schema description coverage is 100%, so each parameter already has a description; the baseline is therefore 3. The tool description adds a small amount by noting that the path is discarded, but it does not clarify which of the nine parameters is the primary input for this Figma URL tool.

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

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

The description clearly names a specific action ('Parse') and resource ('Figma file URL'), so an agent can tell this tool is about Figma URLs. It does not explicitly differentiate from siblings like normalize-url or browser-url-ok, but the Figma-specific resource provides enough clarity for a 4.

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

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

There is no guidance about when to use this tool versus the many sibling shape/URL tools. No exclusions, prerequisites, or alternatives are mentioned; the usage context is only implied by the word 'Figma'.

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. 'No disk access' is a useful, non-obvious behavioral disclosure that prevents agents from expecting filesystem side effects. However, it does not explain whether the result is a boolean, error, or message, nor what 'safe' checks are performed.

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

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

The description is exceptionally short and front-loaded. Both sentences earn their place, and there is no fluff. It loses a point because it is so terse that some needed context is omitted, though conciseness itself is handled well.

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 what the tool returns and what 'safe' means. It does neither. The presence of nine optional parameters with only one clearly relevant to the tool adds ambiguity, making this incomplete for reliable invocation.

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

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

Schema description coverage is 100%, so the baseline is 3. The description itself adds no parameter semantics beyond the schema, and the schema includes many unrelated optional properties (ref, url, city, feed, etc.) that could confuse an agent. Still, the 'path' property is clearly described as 'File path to check.'

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

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

The description clearly states the verb/resource: 'Check whether a path looks safe.' This distinguishes it as a validation-style tool. However, 'looks safe' is somewhat vague—it does not define what safety means (traversal, format, existence), so it falls short of a perfect 5.

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

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

The description implies the tool is for path-shape validation by adding 'No disk access,' which suggests it should be used when only a syntactic/safety check is needed. It does not explicitly name alternatives or state when not to use it, leaving usage guidance implicit.

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

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

With no annotations, the description carries the full behavioral disclosure burden. It mentions output and provider, but not failure behavior, return format, external API implications, or how the many schema fields relate to the lookup. This is too thin for a network-backed 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 one direct sentence with no filler and is front-loaded with the key output. It is concise, though the conciseness comes at the cost of essential usage 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?

For a tool with nine optional parameters, no annotations, and no output schema, this one-line description is far from complete. An agent cannot determine which parameter to pass, what the response looks like, or how to handle invalid or missing place names.

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%, which usually earns a baseline of 3, but the parameter descriptions do not align with the stated purpose. Fields like ref, feed, json, path, and query appear unrelated to a latitude/longitude lookup, and the description does not map 'a place' to any parameter such as city.

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 that the tool returns latitude and longitude for a place, naming the external service Open-Meteo. This is a clear verb-plus-resource statement and gives the core purpose. It does not explicitly compare against siblings like weather-hint or timezone, so it is not a perfect 5.

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

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

There is no guidance about when to prefer geo-hint over alternatives, which parameter should be populated, or what inputs are required. The schema contains nine optional fields with no direction on which one represents the place, leaving an agent to guess.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'Parse owner and repo' and does not mention what happens with invalid URLs, whether inputs are discarded, what the return structure looks like, or whether the operation is side-effect free. The schema hints at 'discarded' behavior, but the tool description itself does not.

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

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

The description is a single, front-loaded sentence with no filler. Every word contributes to identifying the tool's purpose and primary input.

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, so the description should explain return values and behavior. It names owner and repo conceptually, but omits the exact return format, invalid-input behavior, and whether the other eight accepted parameters are ignored. This is insufficient for an agent to invoke it confidently in all cases.

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

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

Schema coverage is 100%, so the baseline is 3. The description adds value by identifying that the 'url' parameter is the relevant input and that the outputs are owner and repo, which disambiguates the purpose among nine optional parameters. It does not define exact formats, but the schema already covers parameter-level descriptions.

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

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

The description uses a specific verb and resource: 'Parse owner and repo from a GitHub URL.' It clearly distinguishes this tool from sibling shape tools like domain-shape, figma-url-shape, and jira-key-shape by narrowing the scope to GitHub URLs.

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

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

The phrase 'from a GitHub URL' implies the tool should be used when a GitHub repository URL is available and owner/repo extraction is needed. However, it does not explicitly state when not to use it or mention alternatives such as figma-url-shape or jira-key-shape.

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

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

With no annotations, the description carries the transparency burden. It discloses that titles are discarded and that the count is 'current,' but it does not state the return format, whether live fetching occurs, or what happens to the many accepted parameters.

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

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

The description is two short sentences with no filler. The core action is front-loaded, and every phrase contributes 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?

The definition is incomplete for a tool with nine optional parameters and no output schema. It does not specify the return value, which parameter is relevant, or whether the schema parameters are simply ignored; an agent cannot confidently construct the correct invocation.

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

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

Schema description coverage is 100%, so the parameters are individually documented. The tool description adds no explicit parameter mapping, though 'Titles discarded' weakly aligns with the 'feed' parameter's 'titles discarded' description. Whether to pass a feed URL or call with no arguments remains unclear.

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

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

The description is specific: it names a clear action ('Count'), a precise resource ('current Hacker News front-page stories'), and a boundary ('Titles discarded'). This distinguishes it from generic fetch or URL-checking 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?

The description implies when to use the tool: when a count of the current Hacker News front page is needed, not when titles are required. However, it never explicitly names an alternative such as web-fetch or browser-url-ok, leaving the guidance mostly implicit.

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

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It only labels the content and gives no indication of what the tool returns, whether parameters are ignored, or whether this is a read-only lookup. The agent is left to infer the actual 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 concise, front-loaded phrase with no filler or redundant detail. It could be slightly expanded for clarity, but as a concise statement it is efficient 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?

With no output schema, no annotations, and 9 optional parameters, the description is not complete enough for an agent to confidently invoke the tool. It does not state the return format, whether all parameters can be omitted, or how this tool relates to clock calls in practice.

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 information. Some schema descriptions say parameters are 'discarded,' which is useful, but the description does not clarify why a timezone-names tool has unrelated optional parameters like ref, url, and json.

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 ('Common IANA timezone names') and the intended domain ('for clock calls'), which is enough to distinguish it from sibling tools like timezone and utc-time. However, it lacks an explicit verb like 'returns' or 'lists' and does not name alternative siblings, so it does not reach full clarity.

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 the tool is used when an agent needs timezone names for clock-related operations, but the description does not explicitly state when to use it versus alternatives like timezone or utc-time. It provides an implied usage context rather than clear selection 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 provided, the description carries the behavioral burden. It does disclose that the tool fetches a public resource and returns only group counts, which is useful, but it does not mention error behavior, parsing details, or what happens if robots.txt is unavailable.

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 clear sentence with no filler and the core behavior is front-loaded. It is under-specified, but the conciseness itself is good.

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

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

Given nine optional parameters, no required parameters, no output schema, and no annotations, this description is far too sparse. It does not explain which parameter selects the robots.txt to fetch, what 'group counts' means, or what the returned data structure looks like, making correct invocation ambiguous.

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

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

The schema descriptions cover each parameter, but none of them mention robots.txt, groups, or counts. The tool description fails to map any of the nine optional parameters to the target robots.txt source, so an agent cannot reliably know whether to pass url, host, path, or something else.

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: 'Fetch a public robots.txt and return group counts only.' This distinguishes it from generic siblings like web-fetch or fetch-status, though 'group counts' is not defined and no target parameter is identified.

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 prefer this tool over alternatives, no prerequisites, and no exclusions. It only states what the tool does, leaving the agent to infer usage from the tool name and sibling 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?

The description includes a minimal behavioral note ('Key discarded'), but with no annotations, it omits details about return values, error behavior, or side effects. The ambiguity of which input is 'discarded' further weakens transparency.

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

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

The description is brief and front-loaded with the purpose, but the second sentence 'Key discarded.' is a cryptic fragment. It is concise, yet it lacks structure to bridge the purpose to the actual parameters.

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

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

Given seven parameters and no output schema, the description is too thin. It does not explain what constitutes a valid Jira key shape, which input to pass, or what the tool returns, leaving 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 schema fully describes all parameters, so coverage is high, but the description introduces a 'key' that does not map to any property in the schema. It adds no guidance on which parameter to pass and actively misaligns with the structured input definition.

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 ('Jira issue key shape'), which distinguishes it from sibling shape-check tools. However, it does not identify which schema parameter holds the key, creating some ambiguity about how to supply the input.

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. It does not mention sibling tools or specify conditions, so an agent must infer the use case 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?

No annotations are present, so the description carries the full burden. 'Body discarded' is a useful behavioral detail, but the tool does not disclose network side effects, error behavior, what HTTP statuses mean, or whether only the url parameter is actually used while the other params are ignored.

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

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

The description is very concise and front-loaded: the core operation appears first, and the body-discard note is a single extra clause. There is no filler, though the terseness contributes to under-specification.

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 9-parameter tool with no output schema and no annotations, this description is too thin. It does not explain which parameter to pass, what the return value looks like, or how this tool fits among the many sibling URL and status tools.

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

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

Schema description coverage is 100%, so the baseline is 3 and the description need not re-document parameters. It adds a 'public library docs URL' framing that gives some context to the url parameter, but it does not clarify how the other 8 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 names a specific action ('HTTP status') and resource ('public library docs URL'), and notes that the body is discarded. However, the purpose is muddied by an input schema that accepts 9 heterogeneous parameters (city, feed, json, path, query, etc.), and it does not clearly distinguish this tool from sibling URL-checking 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 about when to use this tool versus alternatives such as fetch-status, web-fetch, normalize-url, or browser-url-ok. No exclusions, prerequisites, or selection conditions 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 present, so the description carries the burden. It does contribute one behavioral fact—values are discarded—but it does not state whether the operation is read-only, what happens on invalid JSON, or whether any memory state is changed. The disclosure is present but minimal.

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

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

Two short sentences with no filler; the core action is front-loaded and the behavioral qualifier follows immediately. 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?

With multiple optional string parameters, no annotations, and no output schema, this one-line description is not enough for correct invocation. It never says which parameter contains the JSON object or what return value to expect (count integer? string?), leaving an agent to guess.

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

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

Schema coverage is 100%, so the baseline is 3. The description does not explicitly map 'JSON object' to the json parameter, and the json parameter's own description ('JSON text to validate; discarded after the check') is only an indirect match. The many unrelated string parameters create ambiguity, but the schema at least describes each one.

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—counting keys in a JSON object—and the qualifier 'Values discarded' adds scope. It is less clear about how the JSON object is supplied (which parameter), and the name suggests memory keys while the description says JSON object, so it does not fully disambiguate from siblings like validate-json.

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, no exclusion, and no mention of alternative tools such as validate-json or search-query-len. The only implied context is 'when a key count is needed,' which is not enough to route an agent confidently.

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 transparently discloses the result shape and the lossy behavior of dropping query and fragment. However, with no annotations at all, it leaves important behavioral questions unanswered, such as whether the tool performs network access, how invalid URLs are handled, and whether only the `url` parameter is actually used.

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 convey the primary behavior and the key lossy detail with no wasted words. The main action is front-loaded 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?

The description is incomplete for a tool with nine optional parameters, no output schema, and no annotations. It does not state that `url` is the operative parameter, what happens when other parameters are supplied, or how the returned origin/host/path are structured, making it hard for an agent to call correctly with confidence.

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 some meaning by indicating that the URL is the core input and that query/fragment components are removed, but it does not clarify the role of the other eight parameters. The word 'query' in the description also risks confusion with the schema's `query` parameter, which is described as search text.

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: return origin, host, and path for a URL, and clarifies that query and fragment are dropped. This is clear and distinguishable from generic URL handling, though it does not explicitly differentiate itself from sibling tools such as browser-url-ok 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?

No guidance is given about when to use this tool versus alternatives, and no exclusions or alternative suggestions are provided. The description implies it is for URL normalization, but an agent is not told when this is preferred over sibling URL-related 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 burden of behavioral disclosure. It explicitly reveals that no browser is launched, which is an important side-effect guarantee. But it does not disclose whether the check involves a network request, whether it only validates URL shape, or what the response looks like.

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

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

Two short sentences with no filler. The core action is front-loaded and the key caveat about not launching a browser follows immediately. 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 9 optional parameters, no annotations, and no output schema, the description is too sparse. It omits what success/failure looks like, how to choose which parameter to supply, and whether the check actually contacts the network. An agent cannot fully predict the tool's behavior 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?

The description adds no parameter-level meaning, but the input schema already documents all nine parameters with 100% coverage, so the baseline of 3 applies. The description's singular 'a URL' does not clarify how the many non-URL parameters (city, feed, json, path, timezone, query, ref) relate to the check.

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

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

States a clear action—checking whether a URL can be opened—and adds the key constraint 'No browser is launched,' which helps distinguish it from browser-url-ok. The meaning of 'opened' (syntax validation vs. actual reachability) is slightly ambiguous, so it doesn't earn 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?

The phrase 'No browser is launched' gives an implied usage signal: this is a lightweight alternative to browser-based checks. However, it never explicitly names alternatives like browser-url-ok, fetch-status, or web-fetch, nor does it state when to prefer one over the other.

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 clearly states that the query is discarded, which conveys that the operation is effectively stateless and does not persist user-provided search text. It does not specify return details or character-count semantics, but for a simple read-only utility the main privacy-sensitive behavior is disclosed.

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

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

The description is extremely concise: two short sentences, both of which earn their place. It front-loads the core action and then states the key behavioral detail. There is no filler or repetition.

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

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

The description is too thin for a tool with nine optional parameters, no annotations, and no output schema. It never explains that 'query' is the intended input field, what happens if multiple fields are supplied, or what the tool returns beyond the implied character count. The agent is left to infer critical invocation details from the schema.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds little beyond the schema: 'Query discarded' echoes the query parameter's own description. It also does not clarify that, among the nine optional parameters, only 'query' is relevant to this tool.

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

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

The description clearly states a specific verb and resource: 'Count characters in a search query.' It also adds the discard behavior, which helps distinguish this from related validation tools. However, it does not explicitly differentiate it from siblings like memory-key-count or hn-front-count.

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

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

The description gives no guidance on when to use this tool versus alternatives, and it names no sibling tools or exclusion criteria. It only implies usage through the phrase 'search query,' but an agent is not told when to prefer this over other length or 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 present, so the description carries the full burden of behavioral disclosure, but it only states that the tool is a 'short catalog.' It does not explicitly state whether the call is read-only, whether inputs are validated, or what happens to the provided parameters.

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

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

The description is short and has no wasted words, but it is under-specified rather than appropriately concise. It lacks the structural elements needed to help an agent understand how to invoke the tool.

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

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

The tool has eight heterogeneous parameters, no output schema, and no annotations, yet the entire description is one sentence. This is completely inadequate for an agent to determine correct inputs, expected behavior, or return value.

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

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

The input schema provides descriptions for all parameters, so the schema already covers most parameter semantics. The main description adds no parameter-level meaning and does not clarify why parameters like 'city' or 'feed' are relevant to a status-code catalog, but the high schema coverage 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?

The description 'Short catalog of common HTTP status codes' essentially restates the tool name and lacks a verb or action, so it does not clearly define what calling the tool does. The input schema contains diverse parameters like ref, city, feed, and json, but the description gives no clue how they relate to a status-code catalog.

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 siblings such as fetch-status, validate-json, or domain-shape. No conditions, exclusions, or alternative tool recommendations 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. It does reveal that the prompt is discarded, but it says nothing about the return value's structure, template contents, failure modes, or the fact that all parameters are also effectively discarded after their checks.

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

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

The description is extremely concise: two short sentences with no filler. The key behavior and the 'discarded' caveat are front-loaded. Its terseness creates ambiguity, but that is primarily a completeness problem, not a conciseness one.

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 with nine parameters, no output schema, and no annotations cannot be adequately understood from a two-sentence description. Missing information includes what the three-step template actually is, why the parameters are accepted if they are discarded, and whether the tool is effectively a no-op. The agent is left to guess the tool's role relative to the sibling shape-check and validation tools.

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

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

Schema description coverage is 100%, and each parameter description already documents its purpose and discard behavior. The tool-level description adds no parameter-specific meaning, so the baseline of 3 applies.

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

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

The description states a concrete action: 'Return a three-step thinking template' and notes that the prompt is discarded. However, it does not explain what the template contains or why nine unrelated input parameters are accepted, and it only weakly distinguishes this tool from 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?

There is no guidance on when to use this tool versus the many sibling tools. The only hint is 'Prompt discarded,' which implies a no-op-like behavior, but no scenario, alternative, or exclusion is mentioned.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Current time' but does not mention live vs. cached time, error handling for invalid zones, or that the many unrelated schema parameters are discarded. The schema descriptions note some parameters are 'discarded after the shape check,' but the tool description itself adds no transparency.

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

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

The description is a single sentence with no filler, and it front-loads the verb and resource. Every word contributes to the meaning, making it appropriately minimal.

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

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

For a supposedly simple tool, the description omits which of the nine schema parameters to use and does not describe the return format (e.g., formatted time vs. offset). With no output schema and no annotations, an agent may struggle to know how to invoke the tool correctly, especially given the many irrelevant parameters.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no meaning beyond the schema's 'IANA timezone name' for the zone parameter; it simply paraphrases that. The presence of numerous unrelated parameters is not clarified by the description, but their individual schema descriptions are self-explanatory.

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 and resource, making it clear that the tool returns the current time for a supplied timezone. It distinguishes itself from siblings like utc-time and iana-zones by focusing on a single named zone, though it does not name those alternatives.

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

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

The description gives no guidance on when to use this tool versus siblings such as utc-time or iana-zones. Usage context is only implied by the tool name and the phrase 'INA timezone,' with no explicit scenarios, exclusions, or alternatives.

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

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It only states the function without mentioning side effects, parameter side-effects, or return behavior. The schema's odd parameters (e.g., 'ref', 'city') are unexplained, further limiting transparency.

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

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

The description is extremely concise and front-loaded, stating the core purpose in five words. It is efficient, though it may be too terse given the unusual parameter schema.

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

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

The tool has a 7-parameter schema that seems disconnected from the described purpose, no annotations, and no output schema. The description fails to explain how parameters are used or which are required, making it impossible for an agent to call this tool correctly with confidence.

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 descriptions for each parameter, but they are unrelated to the tool's purpose (e.g., 'Git ref name', 'City name'). The description adds no meaning for these parameters and does not clarify their relationship to the UTC timestamp, leaving the agent confused about what 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 'Current UTC timestamp' clearly states the resource (UTC timestamp) and implies a 'get' action. However, it does not explicitly distinguish itself from sibling tools like 'timezone', so there's room for improvement.

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. The description mentions nothing about use cases, prerequisites, or exclusions, leaving the agent without direction.

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, and it does contribute one meaningful behavior: the body is discarded. However, it does not disclose the return format, error behavior, network effects, or whether validation is local, so behavioral transparency is incomplete.

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

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

The description is two short, front-loaded sentences with no filler. The first sentence states the purpose and the second adds a non-obvious behavioral trait, so every 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, yet the description never states what the tool returns, such as a boolean, verdict, or error message. It also fails to map 'body' to the actual `json` parameter or explain the role of the six other schema fields, leaving the definition incomplete for a 7-parameter 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?

All seven parameters are already described in the input schema, including `json` as 'JSON text to validate; discarded after the check.' The description itself adds no parameter-level meaning and even introduces ambiguous 'body' terminology, but the high schema coverage keeps this at the baseline score.

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

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

The description clearly states the tool's function: check whether a body is valid JSON. It is distinguishable from sibling validation tools because of the explicit JSON focus. However, it uses the vague term 'body' rather than naming the actual `json` parameter, which prevents a perfect score.

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 alternatives such as domain-shape or file-path-ok. It also fails to mention any prerequisites, exclusions, or conditions for choosing validate-json, leaving usage decisions entirely to the agent.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It identifies Open-Meteo as the source but does not mention units, failure modes, rate limits, external network dependency, or whether the operation 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 a single, front-loaded sentence with no filler. It is concise and readable, though slightly too terse to carry all needed context for safe autonomous invocation.

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 weather lookup, the description and schema together are minimally viable: the schema identifies city as the relevant parameter and the description states the expected outcome. However, there is no output schema, no annotation, and no detail about response format, units, or 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?

Schema description coverage is 100%, and the schema already documents the 'city' parameter as the one used for a public weather hint. The description adds little beyond the schema, so the baseline of 3 is appropriate.

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

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

The description states a specific action and object: current temperature for a city, and names the data source Open-Meteo. It is clear about what the tool does, though it does not explicitly differentiate it from 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?

The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no mention of the only meaningful input (city). Usage is only weakly implied by the purpose statement.

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

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

With no annotations, the description carries the full burden and does disclose key behavior: it performs an HTTP request, returns status/content type, and discards the body. It does not mention redirects, timeouts, error behavior, or any mutation/side-effect profile, 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 short sentences with no filler; the core behavior is front-loaded and 'Body discarded' is a meaningful addendum. 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 definition is not complete for a tool with nine optional parameters, no output schema, and no annotations. It describes only a URL-centric operation and leaves the agent to infer how the other parameters fit or whether they are extraneous.

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

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

Schema coverage is 100%, so the baseline is 3; the description adds only 'public' and 'body discarded' around the URL concept. It does not clarify why the schema accepts unrelated-looking params such as ref, city, feed, json, path, zone, or query, leaving the mapping to 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 concrete operation: return HTTP status and content type for a public URL, and adds that the body is discarded. This is specific enough to distinguish it from content-returning fetches, though it never names alternatives such as 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?

The phrase 'public URL' gives a clear scope, and 'Body discarded' implies this tool is for header-level checks rather than content retrieval. However, there is no explicit when-to-use comparison with sibling tools, and no guidance about which of the nine parameters should accompany the URL.

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

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

The description discloses one behavioral trait ('Title discarded after the call'), but there are no annotations to provide a safety baseline. It omits crucial details such as network behavior, exact match semantics, or potential side effects. The claim about a 'title' is also disconnected from the actual schema, making the disclosure difficult to act on.

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-loads the primary purpose in the first sentence. However, the brevity borders on under-specification, and the second sentence's 'discarded' detail does not compensate for the lack of parameter guidance.

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 and schema together cannot support a correct invocation: the tool is about checking a Wikipedia title, yet no parameter exists to receive that title. With no output schema and no annotations, the information 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 does not explain how to supply the Wikipedia title, and the input schema contains no 'title' property — only unrelated fields like ref, url, city, feed, host, json, and path. The schema descriptions are self-contained but irrelevant to the tool's stated purpose. This is a severe mismatch that leaves the agent unable to call the tool correctly.

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 opens with a specific verb and resource: 'Check whether a Wikipedia title exists.' This clearly states what the tool does. However, it does not explicitly distinguish itself from sibling tools with similar shape-check behavior, lowering 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. The description does not mention any conditions, exclusions, or trade-offs that would help an agent choose between this and sibling tools like 'domain-shape' or 'normalize-url'.

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