ISO country MR

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 'task text discarded' and lists the returned artifact types, which is useful. However, it does not clarify whether all inputs are effectively ignored, whether any network access or side effects occur, or whether authentication is needed.

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 main purpose and followed by concrete outputs and a key behavioral caveat. 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?

The tool has 9 optional parameters and no output schema, yet the description does not explain how an agent should choose or supply arguments, or whether any arguments are needed at all. It also does not clarify the relationship between the parameters and the returned CLI/skill/MCP-hop artifacts, leaving 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?

Schema description coverage is 100%, and each parameter has its own note including 'discarded' behavior. The tool description adds no parameter-level meaning beyond the schema, 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 is specific: it 'find[s] a public pay-per-call tool gateway (Monid)' and lists concrete return contents (CLI setup, how-it-works, skill file, remote MCP hops). It is clearly not a generic 'index' or search tool, though it does not explicitly differentiate itself from any sibling tool.

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

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

No guidance is given about when to use this tool instead of a sibling, or what scenario calls for it. The behavior is implied only by the description's first sentence; there are no exclusions, prerequisites, or alternative tool 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 full burden of behavioral disclosure, but it only says no browser is launched. It does not state whether a network request is made, what the result represents, whether there are side effects, or what the return value is. The 'discarded' parameter behaviors in the schema are not reflected in the description.

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

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

The description is two short sentences with no filler. It front-loads the core action and then states the key limitation. 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 are no annotations, no output schema, and nine optional parameters, yet the description leaves open which parameters to provide, what 'can be opened' means, and what the tool returns. The description is too sparse to fully support correct invocation, especially given the presence of many seemingly unrelated parameters in 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 tool description adds no parameter-specific meaning and fails to identify which of the nine optional parameters is relevant to checking a URL. However, the schema itself provides descriptions for all parameters, so the description is not solely responsible.

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: checking whether a URL can be opened. The additional 'No browser is launched' helps distinguish it from a likely sibling like playwright-url-ok. However, it does not clarify exactly what 'can be opened' means operationally or differentiate it from other URL-related siblings such as 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?

The description provides no guidance about when to use this tool versus alternatives like fetch-status, web-fetch, or playwright-url-ok. 'No browser is launched' is a behavioral fact, not a usage condition or an explicit alternative. An agent has no basis to decide between this tool and similar siblings.

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

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

The only disclosed behavior is 'Expression discarded', which is a minimal hint that input is not retained. There are no annotations to cover side effects, output behavior, persistence, or whether the operation is read-only, so the description carries the full burden and fails to explain what happens when the tool is called.

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

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

The description is extremely short and front-loaded, with no wasted words. Brevity is a strength here, though the content is too sparse for the tool's complexity.

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

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

This tool has nine parameters, no output schema, and no annotations, yet the description is only two vague sentences. It does not explain which parameter carries the expression, what the evaluation result looks like, whether results are returned, or how the unrelated schema fields factor in. This is critically incomplete for an agent to invoke 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 coverage is 100%, which would normally put this at baseline 3, but the description references an 'expression' concept that does not appear anywhere in the schema. None of the nine parameters maps to an arithmetic expression, so the description actively misleads rather than adding meaning beyond the schema.

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

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

The description states a specific action, 'Evaluate a+b style arithmetic', but the input schema contains no expression parameter and instead lists nine unrelated string fields like url, city, feed, and json. An agent cannot determine what resource the tool actually operates on, and the description does not distinguish this tool from the many sibling shape/ok validators.

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

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

There is no guidance about when to use this tool, what conditions select it, or how it compares to alternatives such as domain-shape, validate-json, or search-query-len. With no exclusions or context, an agent has no basis for choosing it over 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 disclosure burden. It does disclose a meaningful behavior—'Page content is not stored'—which addresses data retention. However, it omits network behavior, failure modes, redirect handling, and whether any external request is made.

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 core output front-loaded and the privacy guarantee adding real value. Every word earns its place; there is no redundancy or 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 tool with nine optional parameters and no output schema, this description is too thin. It only addresses the URL aspect, does not clarify how the other parameters relate, and lacks output formatting or failure behavior. An agent would struggle to select it confidently among overlapping sibling 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 coverage is 100%, so the baseline is 3. The description adds no parameter-level guidance and only reinforces that the tool operates on a URL. The purpose of the other optional parameters is not explained by the description, leaving the agent to rely entirely on the schema's terse per-parameter 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 clearly states a specific action ('Return host, scheme, and HTTP status') on a specific resource ('a URL') and adds a relevant privacy note. It is not a tautology, but it does not differentiate this tool from overlapping siblings such as normalize-url or fetch-status.

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

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

The description implies when to use the tool: when an agent needs host, scheme, and HTTP status for a URL. However, it gives no explicit when-not-to-use guidance and names no alternatives, even though several sibling tools appear related.

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. It adds one genuinely useful behavioral disclosure — 'No identifiers are retained' — which is reinforced by the schema's per-parameter 'discarded' notes. However, it never states whether the operation is read-only, whether any external service is contacted, or what side effects (if any) exist, leaving the core behavior largely opaque.

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

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

Two short sentences with no filler, and the core purpose is front-loaded ahead of the privacy note. The terseness is efficient, though it achieves brevity partly by omitting substance.

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

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

For a tool with 9 optional parameters, no output schema, no annotations, and 27 closely related siblings, two sentences are materially insufficient. The description does not explain what the classification output is, how to select among the many parameters, or how this tool differs from the shape-checking and validation siblings.

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 per-parameter semantics are already fully documented in the schema (e.g., 'discarded after the shape check', 'titles discarded'). The description itself adds no parameter-level meaning, which matches the baseline of 3 for high 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 names a verb and resource ('Show how this request is classified'), so it is not a tautology, but 'classified' is ambiguous — it never states what classification scheme or category system is applied, or what the output looks like. Given the name 'compatibility' and nine heterogeneous parameters (URLs, JSON, paths, timezones), an agent cannot infer what the tool actually computes.

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 are 27 sibling tools including domain-shape, figma-url-shape, github-repo-shape, jira-key-shape, validate-json, and normalize-url, yet the description gives zero guidance on when to call 'compatibility' instead of those alternatives, or whether parameters should be supplied one at a time.

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

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

No annotations are provided, so the description carries the full behavioral burden. It discloses that the tool does not provide WHOIS/ownership data, but it does not explain behavior for the other eight accepted parameters, whether network access occurs, or what the return value looks like. The schema's 'discarded' notes reveal important behavior that the description omits.

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

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

The description is a single, direct sentence with no filler, and the key action is front-loaded. It is efficient, though slightly under-specified for a tool with this many parameters.

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

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

With nine optional parameters, no output schema, and no annotations, a one-line hostname-only description is insufficient. The agent is not told what the tool returns, how to select among the many accepted inputs, or what happens when non-hostname parameters are supplied. The description is not complete enough 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 adds some meaning for the host parameter by saying it is split into labels, but it does not explain the roles of url, city, feed, json, path, zone, query, or ref. The schema carries most of the parameter burden.

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—split a hostname into labels—and explicitly disclaims WHOIS/ownership data, which helps distinguish it from heavier domain-lookup tools. However, it is narrower than the 9-parameter schema implies, so the purpose is clear but not fully aligned with the tool's actual input surface.

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

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

There is an implicit use case: when an agent needs to split or inspect hostname labels. The 'without WHOIS or ownership data' phrase provides a boundary, but there is no explicit guidance about when to prefer this tool over siblings like normalize-url, browser-url-ok, or github-repo-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?

No annotations are present, so the description carries the disclosure burden. It does disclose the key behavior: a read-only HEAD request to a public URL, returning status rather than body. It does not explain how the many non-URL parameters are treated, nor does it clarify redirect, timeout, or output-format behavior, 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?

The description is a single front-loaded sentence with no filler. Every word contributes to the core operation: HEAD, public URL, status only. It is concise 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 core operation is clear, but the tool exposes 9 optional parameters, has no annotations, and has no output schema. The description does not clarify which parameter should be used for the HEAD request, what the returned status looks like, or how the seemingly unrelated optional parameters (ref, city, json, path, query) fit in. The schema compensates partially, but the description alone leaves notable 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 each of the 9 optional parameters. The description adds no parameter-level meaning and does not explicitly map 'public URL' to the `url` parameter, but the schema descriptions are sufficient to reach the baseline.

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

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

The description states a specific operation: perform an HTTP HEAD on a public URL and return only the status. The phrase 'status only' distinguishes it from content-fetching tools like web-fetch, though it does not explicitly name siblings. It is clear for the core use case, even if the broader optional parameter surface is not acknowledged.

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 situations where only a status is needed, not page content. However, it gives no explicit when-to-use/when-not-to-use guidance and does not name alternative tools such as web-fetch or browser-url-ok for richer checks. This is implied usage rather than explicit routing.

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

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

There are no annotations, so the description carries the full burden of disclosing behavior. It only says 'Path discarded,' but it does not explain what a successful parse returns, whether the URL is normalized, or how invalid URLs are handled. This is too little behavioral context for a tool with no 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 description is two short sentences with zero filler. The primary action is front-loaded, and the behavioral caveat is placed second. Every word contributes.

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

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

With 9 parameters, no required fields, no output schema, and no annotations, the description is far too sparse. It does not state what the tool returns, which parameter should contain the Figma URL, or why the other parameters are present. An agent cannot confidently predict the tool's behavior or response from this description alone.

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

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

The schema provides descriptions for 100% of parameters, so the baseline is 3. The tool description adds almost no parameter-level meaning beyond naming the Figma URL context, and it does not explicitly map the Figma URL to the 'url' parameter. The 'Path discarded' note is largely redundant with the path parameter's own description.

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

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

The description clearly states it parses a Figma file URL, which is a specific verb and resource. It is easily distinguished from sibling shape tools like github-repo-shape or domain-shape. The additional note that the path is discarded adds useful behavioral nuance.

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

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

No guidance is given about when to use this tool versus alternatives such as normalize-url, domain-shape, or github-repo-shape. The description implies a Figma URL use case but provides no explicit context, exclusions, or alternative routing.

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 and does disclose the key side-effect boundary: 'No disk access.' But it doesn't state what the tool returns, how invalid paths are reported, or whether the check goes beyond syntactic shape, leaving some behavioral ambiguity.

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, front-loaded sentences with no filler. The action comes first and the safety qualifier immediately follows, making the description easy to parse and remember.

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, one sentence is insufficient. The description doesn't specify the return value or success convention, doesn't clarify which of the nine optional parameters is relevant, and doesn't address the schema's unrelated fields such as url, city, feed, or zone.

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

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

Schema description coverage is 100%, so the input schema already documents all nine optional parameters. The description adds only the word 'path' and no additional parameter-level meaning, which meets the baseline but does not help disambiguate the many unrelated optional fields.

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

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

The description states a specific action ('Check'), resource ('a path'), and criterion ('looks safe'), with the critical qualifier 'No disk access.' This makes it clearly a local path-shape validator and distinguishes it from sibling URL/domain/wiki shape tools such as normalize-url, domain-shape, or wiki-title-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 intended use is implied: call this when you need to check whether a path is safe without touching the filesystem. However, it never states when not to use it, nor does it name alternatives or exclusions, so the guidance is only 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 transparency burden, but it only reveals an external dependency on Open-Meteo and the return of coordinates. It does not disclose that most schema fields are discarded after checks, what happens when multiple fields are supplied, or whether an empty call is valid.

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

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

The description is a single short sentence with no filler, which is efficient for a simple tool. It is not a 5 because it omits input identification and output shape, but structurally it is front-loaded and concise.

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

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

For a tool with nine optional parameters, zero required parameters, and no output schema, a one-line description is grossly incomplete. The agent cannot reliably know which parameter to populate, what the response looks like, or why parameters like ref, feed, json, path, zone, and query exist on a geocoding tool.

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

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

Schema coverage is 100%, so the baseline is 3. The description itself adds no parameter meaning—it never maps 'a place' to the city parameter—and the schema descriptions like 'discarded after the shape check' suggest this schema may have been reused from unrelated sibling tools, reducing confidence.

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 output—latitude and longitude for a place via Open-Meteo—which reads as a geocoding tool and is reasonably clear. However, it lacks an explicit verb and does nothing to distinguish geo-hint from related siblings like weather-hint, nor does it acknowledge the nine heterogeneous schema parameters.

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

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

There is no guidance on when to use this tool instead of weather-hint, timezone, validate-json, or the shape/check siblings. It does not name the intended input (city) or explain that all nine parameters are optional with no required selector.

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

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

With no annotations provided, the description must disclose behavior itself, but it only says 'Parse...' and says nothing about validation, error handling, return shape, or handling of non-GitHub/invalid URLs. The schema descriptions for other parameters mention fields being 'discarded,' but that information lives outside the description and is not integrated here. This leaves significant behavioral ambiguity.

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, earning high marks for concision. It is concise but slightly under-specified given the tool's nine optional parameters, so 4 rather than 5.

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

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

For a 9-parameter tool with no output schema and no annotations, one sentence is incomplete: it does not specify which parameter carries the GitHub URL, what the parsed owner/repo output looks like, or how invalid URLs are handled. The sibling list shows a family of shape tools, and without disambiguation the description fails to fully contextualize the call. This is a significant 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?

Schema coverage is 100%, so the baseline is 3; the description adds little parameter meaning beyond implying `url` is a GitHub URL. The many optional parameters are not mapped to the parse action, and no names like owner/repo output are explained. Overall acceptable because the schema already documents each parameter's role.

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: 'Parse owner and repo from a GitHub URL,' which clearly distinguishes it from sibling URL tools like domain-shape or normalize-url. The tool name reinforces the GitHub-specific scope. The only slight weakness is not naming the `url` parameter, but the purpose itself is unambiguous.

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

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

No explicit when-to-use or when-not-to-use guidance is given; the description only implies usage when a GitHub URL is available and owner/repo extraction is needed. It does not mention alternatives such as normalize-url or other shape tools, leaving the agent to infer selection. This is adequate but minimal.

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 does disclose a key behavior: titles are discarded and only a count is relevant. However, it does not explain that the tool ignores its nine input parameters, nor does it mention return format, network dependencies, or failure modes.

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 'Titles discarded' adds a valuable clarification without redundancy. 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 simple read-only counter, the description is mostly adequate, but the lack of an output schema means the return shape is unstated. Additionally, the description does not explain why it accepts nine unrelated optional parameters, though the schema's 'discarded' notes partially compensate. An agent can likely call it correctly with no arguments, but these gaps prevent a higher score.

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. Each parameter already has a description, and many explicitly say they are 'discarded after' checks. The tool description adds no parameter-level meaning beyond the phrase 'Titles discarded,' which is about output rather than inputs.

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

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

The description states a specific verb ('Count'), a specific resource ('current Hacker News front-page stories'), and a clear behavioral boundary ('Titles discarded'). This makes the tool's purpose unambiguous and distinguishes it from general fetching 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 gives a clear use case: use this tool when you need the number of current HN front-page stories. 'Titles discarded' implicitly signals that this is not the tool for retrieving story titles, but it does not explicitly name alternatives or provide when-not-to-use conditions beyond that.

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

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only describes the tool as a set of names. It does not disclose whether the tool returns a list, validates input, has side effects, or ignores its parameters. This is effectively no behavioral 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 short sentence, but it is under-specified rather than usefully concise. It omits the action, return behavior, and parameter relationship, so brevity does not serve the agent's decision-making.

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 required parameters, no output schema, and no annotations, the description is far too minimal. It does not explain what the tool returns, which parameters are relevant, or how it relates to sibling clock/timezone tools, so an agent cannot confidently invoke it.

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

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

Schema description coverage is 100%, so the baseline of 3 applies. However, the description adds no parameter-level meaning and does not connect the 'IANA timezone names' purpose to the unrelated-looking parameters like url, json, or ref, leaving the invocation semantics unclear.

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

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

The description identifies the resource ('Common IANA timezone names') and a context ('for clock calls'), but lacks a verb such as 'returns' or 'lists', so the exact action is implied rather than stated. It does not distinguish this tool from the sibling 'timezone' tool beyond a vague 'for clock calls' relationship.

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

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

No explicit guidance on when to use this tool versus alternatives like 'timezone' or 'utc-time' is provided. The phrase 'for clock calls' hints at a use case, but it is not elaborated and there are no exclusions 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 carries the disclosure burden; it partially meets it by stating the output is 'group counts only' and that only public robots.txt files are fetched. However, it omits behavior on missing or invalid robots.txt files, redirects, request failures, and whether fetched content is normalized or cached.

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 contains the resource, scope, and output limitation; every word earns its place. It is highly scannable and not padded.

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 output schema, and no annotations, this description is far too thin. It does not identify the effective parameter for the robots.txt URL, define what 'group counts' means in the return value, or cover edge cases; an agent cannot reliably invoke it correctly.

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

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

The schema has 100% parameter descriptions, but they are mostly unrelated to robots.txt: 'url' is described as 'HTTPS URL to normalize or cite', 'host' is just 'Public hostname', and 'feed', 'json', 'path', 'city', and 'ref' refer to other concerns. The tool description never maps 'robots.txt' to any of the nine optional parameters, so an agent cannot determine whether to pass host, url, 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 an exact resource ('public robots.txt') and a specific output contract ('return group counts only'), so an agent understands what the tool does. This clearly differentiates it from generic fetch/status sibling tools like web-fetch or fetch-status, which do not limit to robots.txt group counts.

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 statement about when to choose inspect-robots over siblings such as web-fetch, fetch-status, or domain-shape, and no exclusion for private or authenticated URLs. The only hint is the word 'public', which is not developed into explicit usage criteria.

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

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

There are no annotations, so the description carries the full burden of behavioral disclosure. 'Key discarded' and 'Check' hint that the operation is non-mutating and stateless, but the description does not disclose what the tool returns, how invalid shapes are handled, or what happens if no relevant parameter is provided.

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, action front-loaded, and the privacy/statelessness note 'Key discarded' earns its place. It is extremely concise and well-structured.

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

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

With no annotations or output schema, and a schema that appears to be unrelated to Jira keys, the description is far from complete. The tool lacks the critical parameter mapping and expected validation behavior, making it difficult for an agent to invoke 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?

While the schema provides descriptions for all parameters, none of those descriptions mentions a Jira issue key. The parameters cover git refs, URLs, cities, RSS feeds, hostnames, JSON, and paths, but the description never maps the 'key' to any of them. An agent cannot determine 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 clearly states the specific action ('Check a Jira issue key shape') and the resource being checked. It distinguishes this tool from sibling shape-checking tools like github-repo-shape and figma-url-shape by naming Jira. However, it does not specify which input parameter carries the Jira key, which slightly weakens 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?

No guidance is provided on when to use this tool versus the many sibling shape-checking tools, nor does it mention limitations or exclusions. The description simply states what it does without contextualizing the appropriate use case.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals that the tool returns an HTTP status and discards the body, but it does not say whether a network request is performed, how redirects, errors, or timeouts are handled, whether the operation is read-only, or which of the nine parameters are actually consumed.

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: the first clause states the core purpose and the second adds a useful behavioral trait. There is no filler, though the extreme brevity contributes to under-specification relative to the schema's scope.

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

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

Given no annotations, no output schema, and nine optional heterogeneous parameters, the description is insufficient for an agent to know which parameters to pass, how the parameters relate to the stated behavior, or what the full response shape looks like. The mismatch between the URL-only description and the broad schema is a major 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?

Schema description coverage is 100%, so each parameter already has its own explanation and the baseline is 3. The tool description adds no additional parameter-level meaning and does not clarify how the URL-focused behavior relates to parameters like city, feed, 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 concrete action ('HTTP status') and a clear target ('public library docs URL'), and adds a meaningful behavioral detail ('Body discarded'). It is not tautological and is understandable, though it does not explicitly differentiate itself from sibling tools like fetch-status, browser-url-ok, or web-fetch, and the broad input schema is not reflected in the stated purpose.

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

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

No guidance is provided about when to use this tool versus the many URL-related siblings such as fetch-status, normalize-url, browser-url-ok, or web-fetch. The only implicit usage signal is the 'public library docs' qualifier, but the description never states exclusions, alternatives, or the intended 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?

There are no annotations, so the description carries the full behavioral burden. It does disclose that values are discarded, which is useful, but it does not state the return type, whether nested keys count, error behavior, or whether the operation is read-only. The parameter descriptions add confusion rather than clarifying 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 only two short sentences with no filler, and the core operation is front-loaded. It is concise but perhaps too terse for the 9-parameter schema, so it does not earn a 5.

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

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

With no annotations, no output schema, and 9 optional parameters, the two-sentence description is insufficient for an agent to invoke the tool correctly. It omits how the JSON object is supplied, what the count represents, and what happens with the many other parameters. The definition leaves critical invocation details unresolved.

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%, giving a baseline of 3, but the main description does not explain how the parameters relate to the JSON object being counted. It never says the object is the set of supplied arguments, and the `json` parameter's description, 'JSON text to validate; discarded after the check,' conflicts with the impression that `json` contains the object to count. The agent cannot confidently choose which parameters to populate.

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-resource pair: 'Count keys in a JSON object' and adds the behavioral detail 'Values discarded.' This is distinguishable from siblings like validate-json and search-query-len. However, it leaves ambiguous whether the JSON object is provided through the `json` parameter or represented by the set of supplied input parameters.

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 validate-json, search-query-len, or any other sibling, nor does it state when-not-to-use. An agent must infer usage entirely from the tool name and minimal description.

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

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

The description usefully discloses that query and fragment are dropped, which is behavior beyond the schema. However, with no annotations, it does not clarify that the other schema fields appear irrelevant to URL normalization or whether the operation is purely local and read-only.

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

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

The description is concise and front-loaded: two short sentences with no filler. It earns its place by stating the main behavior, though the noisy schema would benefit from a small amount of clarifying 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 9 optional parameters, no output schema, and no annotations, the description is incomplete. It does not say which parameter to supply, what the return structure looks like, or how this tool relates to the many URL-related siblings, so an agent is under-equipped to invoke it confidently.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no real parameter-level meaning and the mention of dropping query could be confused with the schema's unrelated 'query' parameter, but each parameter is individually described in 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 and resource: it returns the origin, host, and path for a URL. This makes the core action clear and helps distinguish it from fetching or checking tools, though it does not explicitly name 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?

There is no guidance about when to use this tool versus siblings like browser-url-ok, domain-shape, or web-fetch. No exclusions or alternative conditions are provided; usage context is only implicit from the stated output.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only discloses a negative trait ('No browser is launched') and does not explain whether a network request is made, what 'opened' means, whether inputs are discarded, or what the response looks like. The schema's 'discarded after' notes add some transparency, but the description itself is insufficient.

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 negative guarantee is useful and front-loaded. However, the brevity borders on under-specification, missing important details about usage and output.

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

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

With nine optional parameters, no output schema, and no annotations, the description is too thin to support confident invocation. It does not say which parameter matters, whether multiple parameters can be combined, what the tool returns, or how it relates to the many sibling check tools. The detailed schema helps but cannot fully compensate for the missing overall context.

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

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

Schema description coverage is 100%, and each parameter has its own description indicating how it is used or discarded, so the baseline is 3. The main description adds no parameter-level meaning and does not indicate which of the nine optional parameters should be supplied for a URL check, but the schema compensates.

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

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

The description states a clear verb and resource: 'Check whether a URL can be opened.' The added sentence 'No browser is launched' gives some behavioral nuance and partially distinguishes it from browser-based tools, but 'opened' is left ambiguous—it could mean HTTP reachability, URL syntax validity, or something else. It does not clearly differentiate from siblings like browser-url-ok or fetch-status.

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

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

There is no guidance on when to use this tool instead of browser-url-ok, fetch-status, web-fetch, or normalize-url. The statement about no browser being launched hints at a lightweight check, but it never explicitly says when this is preferred or when an alternative should be used.

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

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

No annotations are present, so the description carries the full burden. It does disclose that the query is discarded, which is a useful side-effect statement, but it does not say whether other inputs are ignored, whether the result is returned as an integer, or whether the operation is a pure local computation. Thus the behavioral picture 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?

The description is only two terse sentences, with the core action front-loaded and no filler. Both sentences contribute, though the brevity contributes to the under-specification; still, as a standalone text it is neatly 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 nine optional parameters, no annotations, and no output schema, a two-sentence description is insufficient. It does not say which parameter to pass, what the return value looks like, or that all other fields are irrelevant, so an agent cannot reliably invoke the tool correctly.

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

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

Schema description coverage is 100%, so the baseline is 3; the schema already documents `query` as 'Search text; discarded after the length check'. The tool description adds no param-specific meaning and does not explicitly tell the agent that `query` is the only relevant parameter among nine optional fields, though this is inferable.

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 ('Count') and a clear resource ('characters in a search query'), and the follow-up 'Query discarded' adds a behavioral detail. It is clear enough to distinguish the core operation from URL/shape validation siblings, though it never names the `query` parameter explicitly, so it is not 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, when not to use it, or how it compares to siblings such as `memory-key-count`, `normalize-url`, or `domain-shape`. An agent must infer the appropriate context from the name and skeletal description.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It says only that the tool contains a catalog; it does not disclose whether it returns data, performs lookups, has side effects, or how it behaves with input.

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

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

The description is extremely short, but brevity here is under-specification rather than concision. It omits critical information such as what action the tool performs, what inputs it accepts relevant to status codes, and what output it produces.

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 large set of sibling tools and the absence of annotations and output schema, the description is insufficiently complete. An agent would be unsure what arguments to provide, what the catalog contains, and how this differs from adjacent tools.

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

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

The input schema has seven described parameters, so baseline coverage is high, but the parameter semantics are inconsistent with a status-code catalog: 'city' is for a weather hint, 'feed' suggests RSS, and 'path' is for file checks. The description adds no explanation of which parameters matter or how they relate to HTTP status codes.

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 essentially a noun phrase restating the tool name: 'Short catalog of common HTTP status codes.' It does not state an actionable verb or clarify whether the tool lists, explains, or validates status codes. It also lacks any distinction from sibling tools like fetch-status.

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

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

There is no guidance on when to use this tool versus alternatives such as fetch-status, web-fetch, or normalize-url. The description provides an implied subject matter but no context, conditions, exclusions, or alternatives.

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

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

The description discloses a key behavioral trait: 'Prompt discarded' – the tool ignores the input prompt, and several schema entries echo that parameters are discarded after checks. This adds value beyond the absent annotations and prevents the agent from expecting data processing. However, it remains ambiguous whether all parameters are ignored or only the natural-language prompt, and no side effects or return format are 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 concise: two short sentences with no filler, and the core action is front-loaded. However, 'Prompt discarded' is cryptic and may need elaboration to be useful, reducing the clarity that conciseness should provide.

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

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

With no output schema and nine optional, apparently discarded parameters, the description leaves too much unanswered: what exactly is the returned template, is it static, should the caller pass any parameter, and are there side effects? An agent cannot confidently invoke this tool correctly based solely on the description.

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

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

The input schema provides per-parameter descriptions with 100% coverage, so the baseline is 3. The tool description adds no parameter-level detail beyond the vague 'Prompt discarded,' which does not clarify the role of the nine parameters. The schema already carries the heavy lifting for parameter meaning.

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

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

The description states a clear action: 'Return a three-step thinking template.' This is a specific verb and resource, and it differentiates the tool from the sibling data-validation tools. However, 'three-step thinking template' is underspecified – it does not explain what the steps are or why an agent would request it.

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. 'Prompt discarded' hints that the tool ignores input, but it never explicitly says 'use this when you need a fixed reasoning scaffold' or 'do not use for real computation.' The nine optional parameters are not explained in the description, leaving the agent without a clear call pattern.

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 behavioral disclosure, but it only says 'current time' and discloses no return format, output structure, or side effects. The input schema's repeated 'discarded after the shape check' phrasing suggests validation behavior that the description does not explain.

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, which is good for conciseness. However, the terseness leaves critical invocation details unaddressed, especially given the mismatched input 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 no output schema, no annotations, and a nine-parameter input schema that does not obviously map to a timezone argument, yet the description provides no input–output contract, usage scenario, or parameter guidance. An agent cannot reliably invoke this tool correctly from the 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 gives no clue which parameter should contain the IANA timezone name, and the schema properties (ref, url, city, feed, host, json, path) are described as discarded validation inputs unrelated to timezone. Schema description coverage is high, but the descriptions are semantically misaligned with the tool's stated purpose, so they do not help a caller select 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 clearly states that the tool returns the current time for a named IANA timezone. This distinguishes it from sibling tools like utc-time and iana-zones, though it uses a noun phrase rather than an explicit verb.

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 utc-time, iana-zones, or other siblings. No alternatives, exclusions, or conditions are provided, leaving the caller to infer the appropriate context.

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

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

With no annotations available, the description carries the full behavioral disclosure burden. It does not specify the timestamp format (ISO string, Unix epoch, etc.), whether the tool has side effects, or why the input schema contains seven unrelated-looking parameters such as `path` and `json` that are described as 'discarded' or checked without effect.

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 wasted words and the core capability is front-loaded. It could be slightly more informative without becoming verbose, but for such a simple tool the terseness is mostly appropriate.

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 must explain enough for an agent to invoke it correctly. It fails to specify what the returned timestamp looks like and does not clarify whether any of the seven optional-looking parameters are actually needed, leaving an agent confused about why a UTC-time tool accepts a file path, hostname, and JSON text.

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

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

The input schema provides detailed descriptions for every parameter, including behavior such as 'discarded after the shape check' and 'no disk access', so schema coverage is high. The tool description itself adds no parameter-level meaning, but the schema already carries that burden.

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 what the tool returns: the current UTC timestamp. It is a specific resource and is distinguishable from the sibling `timezone` tool by the explicit 'UTC' qualifier, though it does not use a verb like 'get' and does not name any sibling 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 implies usage when the caller needs the current UTC time, and the tool name reinforces this. However, it provides no explicit guidance about when to prefer this over related siblings like `timezone`, no exclusions, and no context about whether any of the many input parameters need to be supplied.

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

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

With no annotations available, the description carries the full burden of behavioral disclosure. It does disclose that 'the body is discarded,' which is useful data-handling information. However, it gives no indication of what the tool returns (e.g., a boolean, pass/fail status, or error), how strict the validation is, or what happens for invalid JSON. This is a significant gap for a validation tool.

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

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

The description is appropriately brief and front-loaded, with no unnecessary words. However, the brevity crosses into under-specification, leaving out essential context such as what the input is and what result is returned. It is concise in form but incomplete in content, which places it at the mid-point.

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

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

Given the tool has seven schema properties, a non-trivial structure, no output schema, and no annotations, this description is far too minimal. It does not explain which parameter holds the JSON text, what the tool returns, or how it relates to sibling validation tools. An agent would need to inspect the schema carefully and guess at behavior, so the description is not contextually complete.

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 every parameter, so the baseline for added value is moderate. The description introduces the term 'body,' which does not map cleanly to any of the seven schema properties; the closest is 'json,' but the description never connects them. Rather than adding meaning, this creates ambiguity and fails to leverage the schema's clear documentation.

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 provides a clear verb and a general resource ('body') and states the core validation action. However, 'body' is never defined in the schema, and the description does not distinguish this tool from other shape-checking siblings whose names also imply validation (e.g., domain-shape, github-repo-shape). It is not a tautology, but the ambiguity around what 'body' refers to prevents it from being fully clear.

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

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

No usage guidance is provided. The description only states what the tool does; it does not say when to use validate-json instead of the many sibling validation tools, nor does it mention any alternatives or when it should not be used. This leaves an agent to infer appropriate usage from the tool name and schema alone.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It names Open-Meteo as the source and indicates a current temperature result, but it does not disclose units, required inputs, behavior for unknown cities, potential errors, or return structure. The many unrelated schema parameters are also left unexplained at the description level.

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

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

The description is a single concise sentence with no filler words. It is front-loaded and easy to parse. However, it is so terse that it omits important context, so it is good conciseness but not a model of complete 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?

For a tool with nine parameters, no output schema, and no annotations, a one-line description is not complete enough for correct invocation. It does not state that city is the operative parameter, whether it is required, or what the response looks like. An agent could easily call it with no arguments or with one of the unrelated discarded fields.

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

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

Schema coverage is 100%, so the baseline is 3. The description does not add parameter-level meaning beyond the schema, but the schema already documents each parameter. A slight deduction is warranted because the description only highlights 'city' while the schema exposes eight other optional parameters, which creates ambiguity about what an agent should actually 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 clearly states the tool's resource: current temperature for a city, with the data source specified as Open-Meteo. It is easy to identify as the weather-related tool among the siblings. However, it lacks an explicit verb like 'gets' or 'returns,' making it slightly less direct than ideal.

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, nor does it mention that a city is needed. There are no preconditions, exclusions, or examples. The phrase 'for a city' implies a use case, but it is not explicit enough for an agent to know how to distinguish this from related hint 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 the only disclosed trait is 'Body discarded.' That is useful and prevents assuming the response includes body content, but it does not mention redirects, JavaScript execution, error behavior, or response format, which are relevant for a network 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?

Two short sentences, front-loaded with the result, and the second sentence provides a meaningful constraint. No filler or redundant restatement of the tool name.

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

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

The tool has nine optional parameters, no annotations, and no output schema, yet the description covers only the URL-fetch behavior. It never explains whether the other schema properties are alternate inputs, ignored, or separate checks, nor what the output object looks like, so an agent cannot fully judge correct invocation beyond the simplest url case.

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 only the public-URL/body-discarded context. It does not clarify how the nine optional parameters relate to the fetch behavior, and the url parameter description ('normalize or cite') does not match the fetch action, leaving potential ambiguity.

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 result: HTTP status and content type for a public URL, and adds 'Body discarded' to set expectations. It does not use an explicit verb like 'fetches', and it does not distinguish from sibling tools such as fetch-status or browser-url-ok, but the core purpose is unambiguous.

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

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

The public-URL requirement and 'Body discarded' limitation imply the intended use: check status/content-type without needing page body. It provides no explicit when-not-to-use guidance and names no alternative sibling tools, so an agent must infer trade-offs versus fetch-status or playwright-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 behavioral burden. It offers only 'Title discarded after the call,' which hints at statelessness but says nothing about network calls, rate limits, authentication, failure behavior, or side effects. This is insufficient for an external-resource existence check.

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

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

The description is two short sentences with no filler, and the main purpose is front-loaded. The second sentence is a concise behavioral guarantee, even if under-specified overall.

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 far too incomplete for a tool with seven ambiguous parameters and no output schema. An agent cannot determine which parameter should contain the Wikipedia title, what the return result looks like, or how the other six parameters are used, making safe invocation nearly impossible.

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?

Though the schema properties each have descriptions, they describe unrelated concepts (Git ref, URL, city, feed, host, JSON, path) and none of them is a Wikipedia title. The description does not explain how to provide the title or how these parameters relate to the check, so the prose adds no needed parameter meaning.

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: checking whether a Wikipedia title exists, which distinguishes it from the other shape/format validators in the sibling list. However, the clarity is reduced because the input schema contains no 'title' parameter, so the description's core noun is never connected to any 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?

There is no guidance about when to use this tool vs. alternatives such as domain-shape, github-repo-shape, or browser-url-ok. The description gives no use-case conditions, exclusions, or examples.

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