Domain label split

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

The sentence 'Page content is not stored' adds a meaningful privacy disclosure that the annotations (none) do not provide. However, the description never states that it makes an HTTP request to the URL, how failures/timeouts are handled, or what side effects occur — significant gaps given no annotations exist.

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

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

Two short sentences with no filler; the core behavior is front-loaded and the privacy note earns its place. Minimal size works here because the schema carries parameter documentation.

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 and no output schema, the description is the only behavioral source, but it ignores the json and zone parameters and gives no sense of required inputs or error behavior. An agent cannot reliably determine whether url alone suffices or what roles the other parameters play.

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

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

Schema coverage is 100%, so the schema already documents all four parameters, establishing the baseline. The description maps only the url parameter and even creates ambiguity by listing 'host' as an output while host also appears as an input property 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?

States a specific verb ('Return') and resource ('URL') with concrete outputs (host, scheme, HTTP status). However, it does not differentiate from sibling tools like url-checks or status-catalog, and it is silent on the other input parameters (json, zone).

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 siblings such as url-checks, normalize-url, or validate-json. The context for use must be inferred entirely from the tool name and output list.

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

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

With no annotations, the description carries the burden of behavioral disclosure. It does add one meaningful privacy trait: 'No identifiers are retained.' However, it does not disclose whether the tool mutates anything, what data it inspects, whether it performs network calls, or what happens to the input beyond the privacy statement.

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: two short sentences with no filler. It front-loads the primary action and adds a privacy guarantee. However, it is so brief that it sacrifices clarity, so it is concise but not fully effective.

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

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

There is no output schema, and the description does not explain what response the agent should expect, what inputs are meaningful, or how the four optional parameters relate to the classification. Given the ambiguity of 'classified' and the presence of multiple similar sibling tools, this is insufficient for an agent to invoke the tool confidently.

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

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

Schema description coverage is 100%, and each parameter has a clear description in the schema. The tool description adds no additional meaning to the parameters; baseline 3 is appropriate because the schema already does the heavy lifting.

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

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

The description says 'Show how this request is classified,' which names a verb and resource but leaves the central concept undefined: classified as what, by what criteria, and for what purpose? It does not distinguish this tool from siblings like validate-json, normalize-url, or domain-labels, and the name 'compatibility' does not clarify the classification.

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 sibling tools. No alternatives are named, no conditions are given, and no exclusions are stated. The description only states what the tool appears to do, not when an agent should select it.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states 'split' and reveals nothing about input handling, edge cases, return values, or side effects. It is little more than a label for the operation rather than a transparent behavioral 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?

Three words are under-specification, not conciseness. The description provides almost no useful information and lacks any structured detail that would help an agent understand the tool's capabilities.

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 four optional parameters spanning URLs, hosts, JSON, and time zones, plus no output schema, yet the description does not connect these to the stated purpose. An agent cannot determine which parameter to supply, what the output looks like, or how this tool relates to siblings. The description is severely inadequate for safe invocation.

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

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

Schema description coverage is 100%, with each parameter already having a meaningful description, so the baseline is 3. The tool description adds no parameter-level insight, but it does not need to repeat the schema. However, it fails to clarify which of the four parameters actually drive the domain label split.

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 'Domain label split' essentially restates the tool name 'domain-labels' rather than explaining the operation. It hints at splitting a domain into labels but does not specify which input parameters are used, what output is produced, or how it differs from the sibling tool 'domain-shape'.

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

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

No guidance is given about when to use this tool versus alternatives like 'domain-shape', 'normalize-url', or 'validate-json'. The schema includes four unrelated optional parameters (url, host, json, zone), and the description provides no context about which scenario requires this tool.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Split' suggests a non-mutating read operation, and the WHOIS/ownership exclusion is useful, but the description does not disclose whether url, json, or zone are ignored, validated, or routed elsewhere, nor what output the caller should expect.

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. It front-loads the core operation and appends a meaningful limitation. It is concise and easy to parse, though the brevity contributes to the completeness gaps.

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 four unrelated optional parameters, no output schema, and no annotations, the description only covers one possible operation. It does not explain how the url, json, and zone parameters fit, what the label-splitting output looks like, or when to choose this tool among the listed siblings. This is insufficient for confident invocation beyond the narrow hostname-label 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 each parameter is already documented at a basic level. The tool description, however, adds no parameter-level meaning: it does not connect the hostname-splitting operation to the host field or clarify the roles of url, json, and zone in that operation.

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

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

The description names a specific verb and resource: 'Split a hostname into labels.' It also adds an explicit boundary, 'without WHOIS or ownership data,' which gives it some clarity beyond a bare label. However, it does not explain how this relates to the schema's url, json, and zone parameters, and it does not distinguish itself from sibling tools such as catalog-labels.

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

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

The description gives no explicit when-to-use guidance or alternative tool names. The 'without WHOIS or ownership data' clause implies a limitation, but it never states when a caller should prefer this tool over siblings or what inputs are appropriate.

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

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only names a data category. It does not say what the call returns, whether it is read-only, whether parameters are ignored or required, or how it behaves in edge cases. There is no contradiction with annotations because none are provided, but there is also almost no behavioral context.

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

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

The description is a single short sentence with no filler and no buried lead. It is front-loaded and easy to parse, though the brevity comes at the cost of operational 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?

This tool has 4 optional parameters, no annotations, and no output schema, so the description must explain return behavior, parameter relevance, and relationship to sibling tools. It does none of these. An agent cannot reliably determine when to call this tool, what arguments to pass, or what the response will look like.

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 without parameter details in the description. The description itself adds no parameter-level meaning and actually creates ambiguity: only 'zone' clearly matches the stated purpose, while 'url', 'host', and 'json' appear unrelated to 'IANA timezone names' and are left unexplained.

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

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

The description is a noun phrase ('Common IANA timezone names for clock calls') rather than a statement of what the tool does. It identifies a resource type but never states whether invoking the tool returns a list, filters zones, or performs some other action. It also fails to differentiate itself from siblings like timezone and utc-time except through the vague 'clock calls' phrasing.

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 does not state when an agent should call this tool, when it should not, or how it compares to alternatives such as timezone or utc-time. 'For clock calls' is only a weak hint, not actionable 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 must carry the behavioral burden. It does convey that this is a read-only fetch of a public resource and that only group counts are returned, not the full file. But it does not disclose failure modes, redirect handling, or what happens when robots.txt is missing.

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 wasted words. It is concise, though perhaps too minimal given the four-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?

For a tool with four parameters, no annotations, and no output schema, one sentence is insufficient. It does not explain how parameters relate to the fetch operation, which parameter is required, or what 'group counts' means structurally.

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

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

Schema coverage is 100%, so the baseline is 3, but the parameter descriptions are misaligned with the tool's stated purpose. 'url' is described as a URL to normalize or cite, not as the site whose robots.txt to fetch; 'json' and 'zone' appear unrelated to robots.txt. An agent cannot reliably map the description to the 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 a specific verb and resource: 'Fetch a public robots.txt and return group counts only.' This differentiates it from sibling tools like normalize-url or validate-json. However, the parameter schema describes entirely different purposes (normalizing URLs, validating JSON, timezone names), which casts doubt on what the tool actually does.

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

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

The description gives no guidance on when to use this tool versus alternatives, nor any exclusions or preconditions. It does not explain which parameter supplies the site whose robots.txt should be fetched, nor when one might prefer a sibling tool.

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

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

No annotations are provided, so the description carries the full burden. It accurately discloses that query and fragment are dropped, which is useful behavioral context. However, it does not disclose whether the tool validates the URL, what happens for invalid URLs, whether the host and path are normalized in specific ways (e.g., case, default ports), or why unrelated parameters (json, zone) exist—leaving 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 a single, tightly worded sentence that front-loads the primary action and result. Every word earns its place, and the dropped query/fragment detail is a concise, valuable behavioral note without padding.

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 that appears to normalize URLs, the description is too terse: it lacks details on input validation, error handling, output format (though no output schema exists), and the role of the three extra parameters. The presence of unrelated parameters and zero required parameters suggests the tool may have multiple modes, but nothing in the description disambiguates this, making it 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 schema already documents all four parameters. The description adds no extra meaning for parameters beyond 'url'—it doesn't clarify how 'host', 'json', and 'zone' relate to the stated purpose of returning origin/host/path. With full schema coverage, baseline 3 is appropriate, but the mismatch between the description's focus and the schema's parameter set is not compensated.

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

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

The description states a specific verb ('Return') and resource ('origin, host, and path for a URL') and clearly distinguishes the tool's scope by noting that query and fragment are dropped. However, it does not name sibling tools or explicitly differentiate from alternatives, and the schema's other parameters (host, json, zone) are not accounted for in this purpose statement.

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

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

The description implies a usage context: given a URL, extract the origin, host, and path. There is no guidance on when to use this versus alternatives (e.g., a full URL parser or a citation tool), and the schema includes unrelated parameters (json, zone) that suggest other potential uses, creating confusion about when to invoke this tool.

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

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

With no annotations, the description carries the full behavioral disclosure burden, but it only says the tool is a 'short catalog.' It does not explain how the four input parameters affect behavior, what output is returned, or whether the tool performs any action beyond presenting static content.

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, making it easy to scan. It is not quite 'appropriately sized' because a tool with four parameters likely needs more context, but the concise phrasing is otherwise efficient.

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

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

Given four unrelated-looking parameters, no annotations, and no output schema, the description is far too sparse. An agent cannot determine why it would pass a URL, host, JSON string, or timezone to a status-code catalog, nor what the tool returns.

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

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

The input schema already describes all four parameters, so the baseline is 3. However, the description adds no connection between url, host, json, and zone and the stated purpose of cataloging HTTP status codes, leaving their relevance unexplained.

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

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

The description identifies a concrete resource—'common HTTP status codes'—and implies the tool provides a catalog of them, which differentiates it from the URL-, timezone-, and JSON-oriented sibling tools. It is not a fully explicit verb+resource statement, and 'catalog' echoes the tool name, but the domain is 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?

There is no guidance on when to use this tool instead of siblings such as citation, compatibility, or normalize-url. No contexts, exclusions, or alternative selection criteria 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 explaining behavior. It states that the tool returns a current time, implying a read-only operation, but it does not disclose the output format, whether only the 'zone' parameter is used, or what happens if unrelated parameters like url/host/json are supplied.

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 or redundancy. It communicates the core purpose immediately and earns its place.

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

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

The tool has no annotations and no output schema, so the description must compensate. It leaves major gaps: unrelated parameters are unexplained, the return value is unspecified, and no relationship to sibling tools is given. An agent could not fully determine how to invoke this tool correctly from the description alone.

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

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

Schema description coverage is 100%, so the baseline is 3 even without additional parameter explanation in the description. The description aligns only with the 'zone' parameter and adds no new semantic value beyond the schema, nor does it clarify why url, host, and json appear in a timezone 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 that the tool provides the current time for a named IANA timezone, which identifies both the operation and the resource. It indirectly distinguishes itself from sibling tools like utc-time and iana-zones, though it lacks an explicit verb like 'get' or 'return'.

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

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

No guidance is given for when to use this tool versus alternatives such as utc-time or iana-zones. The phrase 'named IANA timezone' implies a use case, but there are no explicit conditions, exclusions, or alternative recommendations.

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 'Current UTC timestamp.' It does not reveal whether the four input parameters are ignored, what format the timestamp uses, or whether the operation is stateless. The mismatch between the description and the unrelated schema fields is completely unexplored.

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 four-word, front-loaded statement with no filler. It is efficient, but it is also too sparse to provide usage or behavioral context.

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

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

There is no output schema, so the description should explain the return value at least in terms of format. It only says 'Current UTC timestamp,' leaving the return type ambiguous. It also fails to explain how the four optional parameters relate to the tool, making the definition incomplete for an agent.

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

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

Schema description coverage is 100%, so the baseline is 3. However, the description adds no meaning to the parameters, and the parameters (url, host, json, zone) appear unrelated to retrieving a UTC timestamp. The description should clarify that these fields are optional or ignored.

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

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

The description states the tool outputs the current UTC timestamp, which is clear enough for an agent to know what it does. It is terse and lacks an explicit verb like 'returns', and it does not differentiate itself from siblings such as timezone or iana-zones.

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

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

The description gives no guidance about when to use this tool versus the sibling tools. It does not mention that no parameters are needed, nor does it explain when timezone or iana-zones would be more appropriate.

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

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

With no annotations provided, the description carries the full burden. It does disclose one behavioral trait: 'The body is discarded,' signaling a side-effect-free validation. However, it does not explain behavior for invalid JSON, return type, or error handling.

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 wasted words. The primary action is front-loaded, and the discard note is a useful behavioral addition. Every word earns its place.

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

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

The tool has 4 parameters, no output schema, and no annotations, yet the description only addresses the JSON-checking behavior. It fails to clarify why url, host, and zone are accepted parameters, what the return value is, or how this differs from json-schema-validate. These gaps leave an agent under-informed.

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's use of 'body' loosely maps to the 'json' parameter described in the schema, but it adds no extra meaning and leaves the unrelated url, host, and zone parameters unexplained.

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

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

The description states a specific verb and resource: 'Check whether a body is valid JSON.' This clearly identifies the core function. However, it does not differentiate from the sibling tool 'json-schema-validate', which could be confused for the same operation.

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

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

The description gives no guidance on when to use this tool versus alternatives. It does not mention json-schema-validate or any other sibling, nor does it state conditions or exclusions. An agent must infer usage from the name alone.

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