UUID Mint

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

No annotations are provided, so the description carries the disclosure burden. It adds one useful behavioral fact—'Page content is not stored'—which covers data retention, but it does not disclose fetching side effects, redirect handling, or output shape.

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; the key output is front-loaded in the first sentence and the privacy note earns its place in the second. There is no filler.

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

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

Despite schema coverage, the description omits how host, json, and zone relate to the URL/status output, and there is no output schema or annotation context. An agent cannot tell whether the json/zone parameters are independent modes or part of a citation check, so the tool is incompletely specified for 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?

The schema already describes all four properties with 100% coverage, so the description does not need to repeat them. It adds no parameter-level detail beyond the schema, so the baseline 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 first sentence is a specific verb+resource statement: it returns host, scheme, and HTTP status for a URL. This clearly conveys the core function, but it does not explicitly distinguish the tool from siblings such as normalize-url or status-catalog.

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

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

The description gives no guidance on when to prefer citation over normalize-url, status-catalog, validate-json, or timezone. It only states what it returns, not the scenarios or exclusions.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does add one useful privacy guarantee ('No identifiers are retained'), but it does not disclose whether the operation is a local read-only check, what a classification outcome looks like, or whether any input is validated against external services.

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

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

The description is only two sentences, front-loads the core action, and contains no filler. It earns a high conciseness score, though the brevity comes at the cost of specificity, which is penalized in other dimensions.

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 heterogeneous optional parameters and no output schema, the description is too incomplete. It does not explain return values, expected input combinations, or the meaning of 'classified' enough for an agent to reliably call the tool or interpret the result.

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 already has a meaningful description. The tool description itself adds no parameter-level meaning, so the baseline of 3 is appropriate; it neither helps nor hurts 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 verb ('show') and an object ('how this request is classified'), so it is not a tautology, but 'classification' is left undefined. It does not say what compatibility means, what categories are returned, or how this differs from sibling tools such as validate-json or normalize-url.

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

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

There is no guidance on when to use this tool versus its siblings, no mention of which input should be provided for which use case, and no exclusions. An agent must guess whether this is for URLs, hosts, JSON, timezones, or some combination.

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. It reveals one boundary (no WHOIS/ownership data) but does not describe return values, handling of invalid hostnames, whether URLs are accepted, or whether json/zone parameters are ignored or rejected.

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

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

The description is a single, tightly worded sentence with no filler. The core operation is front-loaded, and the exclusionary clause is succinct and useful.

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 optional parameters, no output schema, and no annotations, the description is not sufficient for an agent to call this tool confidently. It fails to specify the input format, expected output, behavior for unused parameters, or error handling.

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 despite no parameter details in the tool description. The description adds little beyond the schema, and it does nothing to clarify which of the four provided parameters should actually be used for splitting a hostname.

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 precise operation: 'Split a hostname into labels' and explicitly scopes out WHOIS/ownership lookup. This is a specific verb and resource, and it differentiates the tool from domain-enrichment or ownership-focused siblings.

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

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

The 'without WHOIS or ownership data' phrase implies the tool is for syntactic label extraction only, providing some negative guidance. However, it never says when to prefer this tool over siblings, nor does it explain the role of parameters like url, json, or zone, leaving usage largely inferential.

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 states that the tool provides common IANA timezone names, which suggests a read-only list result, but it does not clarify whether the 'zone' parameter filters the output, why 'url', 'host', and 'json' parameters appear in the schema, or whether network access or authentication is required.

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 words. It front-loads the core concept efficiently, although its brevity leaves important behavioral and usage gaps that other dimensions capture.

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 4 optional parameters, no annotations, and no output schema, the description is incomplete. It fails to explain what the tool returns beyond 'names', whether inputs affect the result, or how it relates to the sibling tools. An agent cannot reliably determine correct invocation from this definition alone.

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

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

Schema description coverage is 100%, so each parameter already has a type and description, earning the baseline score of 3. However, the tool description adds no meaning about how parameters relate to the tool's purpose—especially the presence of unrelated-looking parameters like 'url' and 'json'—so it does not exceed 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 clearly identifies the resource being provided: common IANA timezone names intended for clock calls. It is understandable at a glance, though it lacks an explicit action verb like 'list' or 'get' and does not differentiate this tool from the sibling 'timezone' tool.

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

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

The phrase 'for clock calls' weakly implies a usage context, but the description gives no guidance on when to choose this tool over siblings like 'timezone' or 'utc-time', no exclusions, and no conditions. An agent would have to guess which tool to use for a given timezone-related request.

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

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

With no annotations, the description carries the full burden. It transparently discloses the core operation (an outbound fetch of a public file, read-only, no auth implied) and the reduced result shape. But it does not disclose failure modes (e.g., missing robots.txt, redirects) or define what 'group counts' means.

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 nine-word sentence that front-loads the verb and object and contains zero filler. Every word earns its place.

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

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

The schema has four optional parameters that appear unrelated to robots.txt fetching, and there is no output schema or annotations. The description fails to clarify which parameter drives the fetch or what the returned group counts represent, so an agent would need to infer critical connection between the parameters and the stated purpose.

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

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

Schema coverage is 100%, so the baseline is 3. The description adds no parameter context: it never indicates whether 'url' or 'host' is used to fetch robots.txt, nor what 'json' or 'zone' have to do with the operation, leaving the already-ambiguous schema uncompensated.

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 ('Fetch'), a concrete resource ('a public robots.txt'), and a precise output ('return group counts only'). The 'only' scopes the behavior and distinguishes it from a full-fetch or full-parse tool.

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

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

The description implies the use case: get group counts from a site's robots.txt. However, it names no alternatives, gives no 'when not to use' guidance, and doesn't position the tool relative to sibling tools like citation.

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 the key destructive trait: 'Query and fragment are dropped.' However, it omits other relevant behavior such as handling of invalid URLs, whether HTTPS is required (though the schema hints at it), and what the return structure looks like.

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

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

Two short sentences with no filler. The primary behavior is front-loaded, and the query/fragment dropping note is a concise, valuable addition. Nothing in the description is wasted.

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 clarify the return shape, but it only names components (origin, host, path). It also fails to explain how the host, json, and zone inputs relate to URL normalization, and it does not state that all parameters are optional or which are actually relevant. This leaves the agent with significant ambiguity.

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

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

Schema description coverage is 100%, so the baseline is 3 even without additional parameter detail in the description. The description adds no parameter-level meaning and, more problematically, the schema contains unrelated-looking params such as json and zone. The 'host' param in the schema is also potentially confused with the 'host' mentioned in the description output, but the schema itself provides some 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 states a specific verb and resource: 'Return origin, host, and path for a URL.' It also adds a distinctive behavior, dropping query and fragment, which helps separate it from generic URL or citation tools. It stops short of naming sibling tools, but the purpose itself 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 versus alternatives such as citation or domain-shape. The description implies URL normalization use, but it does not state scenarios, exclusions, or preconditions, leaving the agent to infer applicability.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'catalog,' disclosing nothing about read-only vs. side effects, network access, output format, or how inputs like url/json/zone are consumed. The schema hints at a more active operation than a simple catalog lookup, yet the description does not clarify the discrepancy.

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 six-word sentence with no filler and the subject is front-loaded. It is efficient, but brevity comes at the cost of substance: the description is so thin it fails to convey the tool's purpose in a usable way.

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 4 parameters, no required params, no output schema, and no annotations, this description is severely incomplete. An agent cannot determine what input to provide, what response to expect, or how the catalog relates to the schema fields. The mismatch between description and schema makes this inadequate for correct invocation.

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

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

Schema description coverage is 100%, so the baseline is 3, but the description adds zero meaning beyond the schema and actually conflicts with it. The parameters url, host, json, and zone appear unrelated to a catalog of HTTP status codes, and the description does nothing to explain the connection. This leaves parameter intent confusing rather than clarified.

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

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

The description names a concrete resource ('common HTTP status codes') and a catalog/reference function, which loosely distinguishes it from sibling tools like citation or normalize. However, the action is ambiguous ('catalog' is not a clear verb like 'lookup' or 'get'), and the input schema containing url, host, json, and zone does not visibly support a status-code catalog lookup. An agent cannot confidently determine what operation this tool actually performs.

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 any alternative. The description does not mention sibling tools, selection conditions, or exclusions. The word 'short' weakly implies a lightweight quick-reference use, but this is too implicit to be useful.

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 exist, so the description carries the full burden of behavioral disclosure. It only states that the tool returns the current time; it does not mention DST handling, formatting, error behavior, or how the timezone is resolved. This is not contradictory but is under-disclosing.

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 zero filler and the core concept is front-loaded. It is concise, though the brevity collapses content that could reasonably be expected given the mismatched schema.

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

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

With no annotations, no output schema, and a schema containing several irrelevant parameters, this description is incomplete. It does not explain the return value, which parameters are relevant, or how an agent should handle the auxiliary schema fields.

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

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

The schema has 100% description coverage, so the baseline is 3, but the description fails to resolve a serious mismatch: three of the four schema parameters (url, host, json) are unrelated to a timezone tool. The description does not tell the agent that only zone matters, leaving ambiguity about whether the other parameters affect behavior.

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

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

The description clearly identifies the resource (IANA timezone) and the result (current time), so an agent can tell what the tool does. It is a noun phrase rather than an explicit verb+resource construction, but the meaning is unambiguous and distinct from sibling tools like normalize-url or validate-json.

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

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

There is no guidance on when to use this tool versus alternatives, no mention of exclusions, and no context about which scenario calls for a timezone lookup. An agent gets no help deciding between this and any other 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 burden, but it only states 'Current UTC timestamp.' It does not clarify whether the four unrelated optional parameters are used or ignored, nor what format the timestamp is returned in.

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

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

The description is extremely concise and front-loaded with the core purpose. It is a fragment rather than a full sentence, but it contains no wasted words.

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

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

For a tool with no output schema and a confusing input schema, the description is under-specified. It fails to state the return format, whether parameters are optional or ignored, or how this tool differs functionally from time-related 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 coverage is 100%, but the parameter descriptions (URL, host, JSON, zone) do not relate to the tool's stated purpose of returning a UTC timestamp. The description adds nothing to reconcile these inputs, so the high schema coverage does not actually help an agent call this tool correctly.

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

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

The description 'Current UTC timestamp' clearly names the resource and implies the action of retrieving it. It is distinguishable from time-related siblings like timezone and iana-zones because it explicitly says UTC, though it does not name or compare against 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?

No guidance is provided about when to use this tool instead of alternatives such as timezone or iana-zones. An agent must infer the selection criteria from the name and description 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, the description must carry the full behavioral burden; it only states that a random UUID v4 is minted. It does not say what happens with the four accepted parameters, which appear entirely unrelated to UUID generation, nor does it describe the output format or error behavior.

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

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

The description is a single, front-loaded sentence with no filler. It is concise and immediately communicates the core action.

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

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

The tool is simple in purpose but the input schema introduces substantial confusion with four unrelated optional parameters. The description omits the return value, whether parameters affect behavior, and any clarifying note that would let an agent safely ignore the stray parameters. Given no output schema and no annotations, this is insufficient.

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

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

Although schema coverage is 100%, the parameters describe URL normalization, hostnames, JSON validation, and timezone names—none related to a UUID v4. The description adds no clarification about whether these parameters are ignored, used as a seed, or required for context, so an agent cannot correctly interpret how to call the tool.

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

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

The description 'Mint a random UUID v4' states a specific verb, resource, and format variant. It is unambiguous and distinct from the sibling tools, none of which deal with UUID generation.

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 a random UUID v4 is needed, but gives no explicit guidance on when not to use it or whether any of the supplied parameters affect the operation. No alternatives or exclusions are mentioned.

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

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

With no annotations, the description must carry the behavioral disclosure burden. It does add one useful behavior—'the body is discarded'—indicating no persistence. However, it does not disclose what the tool returns, whether it throws an error, or what the success/failure signal looks like.

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

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

The description is a single sentence with no filler. The core operation is front-loaded, and the note that the body is discarded is relevant 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?

The definition is too sparse for a tool with four parameters, no annotations, and no output schema. It does not explain which parameter supplies the body, what the result format is, or how to handle the three seemingly unrelated parameters. An agent cannot reliably construct a correct call 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?

Schema description coverage is 100%, so the baseline is 3. The `json` parameter description confirms it is the JSON text to validate, but the tool description says 'body' without linking to that parameter. The unrelated `url`, `host`, and `zone` parameters add confusion and are not reconciled with the described behavior.

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

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

The description clearly names a validation operation on a JSON body, which distinguishes it from the sibling tools such as normalize-url, timezone, and uuid-v4. However, it never maps 'body' to the schema's `json` parameter, leaving some ambiguity about the actual 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?

The description implies the tool's purpose: use it to check if a body is valid JSON. It provides no explicit when-to-use guidance, prerequisites, or comparison to alternatives, but the sibling list contains no other JSON validator, so the omission is not critical.

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