CSS hex color shape

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

With no annotations, the description carries the behavioral burden. It does add a useful data-handling guarantee: 'Page content is not stored.' However, it does not state whether the URL is actually fetched, whether redirects are followed, or what side effects or errors may occur.

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 followed by a concise privacy note. Every sentence earns its place, and there is no redundant restatement of the tool name or 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 description is incomplete for a 4-parameter tool with no annotations and no output schema. It does not explain the joint purpose of url, host, json, and zone, nor the expected return shape beyond three named fields. An agent selecting this tool would likely be confused about how to populate json 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 coverage is 100%, so the baseline is 3. The description does not add meaningful parameter semantics beyond what the schema already provides, and it especially does not clarify the roles of 'json' and 'zone', which seem unrelated to the URL-centric 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 states a clear action ('Return host, scheme, and HTTP status') and a specific resource ('for a URL'), which distinguishes it from most siblings. It is clear about what the tool does, though it does not explain how the 'citation' name relates to this behavior.

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

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

There is no guidance about when to use this tool versus alternatives such as normalize-url, inspect-robots, or status-catalog. The description offers no exclusions, prerequisites, or selection criteria; an agent is left to infer the appropriate context from the 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?

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It fails to state whether this is a validation, transformation, read, mutation, or network operation, and it does not explain what happens to the inputs or what a successful 'shape' check 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?

The description is only four words, which is terse, but this is under-specification rather than effective conciseness. There is no front-loaded verb, no sentence structure, and no detail that would help an agent act.

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 annotations, no output schema, and no usage guidance, the description is far too incomplete for an agent to invoke the tool correctly. The mismatch between the stated color focus and the actual input schema leaves the tool essentially unusable 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?

Although the schema provides descriptions for all four parameters, the tool description adds no meaning and actually contradicts the parameter set by referring to CSS hex colors with no color parameter available. An agent cannot determine which parameter should be passed or how the parameters relate to 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, 'CSS hex color shape,' is a noun phrase with no verb or action, so it does not say what the tool does. It does not mention any of the actual parameters (url, host, json, zone), and there is no input parameter that could carry a CSS hex color value. The description is misleading rather than clarifying.

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 use this tool or when to prefer a sibling tool such as validate-json, normalize-url, or iana-zones. The vague color-shape wording gives no usable context for selecting this tool, and it does not match the provided URL, host, JSON, and timezone parameters.

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 behavioral claim is 'No identifiers are retained,' which is a useful privacy note. However, there are no annotations, so the description must carry the full burden of disclosing side effects, read-only behavior, or processing semantics. It does not say whether any input is required, what happens to the provided values, or what classification decisions are 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?

The description is short and easy to parse, with no obvious filler. However, the first sentence is vague and does not sufficiently explain the tool's purpose, so it does not fully earn its place. Concise, but under-specified.

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 lacks return semantics, parameter usage guidance, and relationships to sibling tools. An agent cannot confidently call this tool correctly or interpret its result. The description is far too minimal for the complexity involved.

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 in the schema. The description adds no parameter-specific meaning, but the schema carries the heavy lifting. A baseline score of 3 is appropriate.

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

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

The description says 'Show how this request is classified' but never defines what classification means, what inputs it uses, or what output to expect. It does not distinguish from siblings like normalize-url or validate-json, leaving the agent unable to know what this tool actually does. The name 'compatibility' hints at intent but does not clarify 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?

The description provides no guidance on when to use this tool versus any of the siblings. There are no usage contexts, exclusions, or alternative recommendations. An agent cannot determine whether this is the right tool for a given request.

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

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

With no annotations provided, the description is the sole source of behavior. It reveals that the operation is purely syntactic and performs no ownership lookup ('without WHOIS or ownership data'), which is a useful behavioral boundary. It does not disclose any side effects, return format, or constraints, but for a read-only split operation this is a moderate level of 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 entire description is one short sentence with no wasted words. The exclusion clause is meaningful rather than 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 high schema description coverage, the tool has four optional parameters with no required ones and no output schema. The description only explains the hostname case, leaving the agent uncertain about how to pass a URL, JSON text, or timezone, or what the result looks like. This is incomplete for confident 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 documents all four parameters with descriptions, so baseline is 3. The tool description adds no parameter-specific meaning and does not explain how 'json' or 'zone' relate to splitting a hostname, which prevents the description from compensating for any 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 uses a specific verb 'split' and a specific resource 'hostname', and tells the agent the output is 'labels'. It also includes an explicit exclusion (no WHOIS/ownership), which adds precision. However, it does not account for the URL, JSON, and timezone parameters in the schema, leaving some ambiguity about the full scope.

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

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

The description provides no guidance on when to choose this tool over siblings like normalize-url, validate-json, or iana-zones, nor does it mention when not to use it. An agent is left to infer 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?

There are no annotations, so the description carries the full burden of behavioral disclosure. It describes a set of names but not what the tool actually does, what it returns, whether it mutates state, or what happens with different inputs. No behavioral traits are disclosed beyond the domain label.

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 contains no filler, but it is under-specified to the point of being more a label than a functional description. It is concise in length but not appropriately informative for the tool's apparent 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?

With four optional parameters, no output schema, no annotations, and several sibling tools, the description is far too incomplete. It does not explain what input to provide, what output to expect, how the tool relates to url/host/json/zone, or when an agent should call it instead of timezone or utc-time.

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

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

The input schema has 100% description coverage, so the baseline is 3 even though the description itself adds no parameter-specific meaning. The description does not clarify why url, host, and json are present in an IANA timezone tool, but the schema already documents each parameter individually.

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 conveys that the tool relates to common IANA timezone names for clock-related operations, but it is a noun phrase rather than a statement with a verb and resource. It does not clearly say whether the tool returns a list, validates a zone, or converts timezones, leaving the exact action vague.

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' implies the tool should be used when a clock-related operation needs IANA timezone names. However, it gives no explicit guidance about when to prefer this tool over siblings like timezone or utc-time, and it offers no exclusion criteria 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 provided, the description carries the full burden of behavioral disclosure. It does disclose a read-only network fetch and a narrowed output, but omits details such as error behavior, redirect handling, rate limits, or whether a missing robots.txt results in empty counts.

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. 'Group counts only' usefully scopes the output and the sentence structure carries no repetition 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 no output schema, the return value is only vaguely defined as 'group counts', and the input ambiguity around four optional, unrelated parameters leaves meaningful gaps. It is adequate for a narrow utility, but parameter mapping and edge-case behavior are insufficiently covered.

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 parameter descriptions are generic and appear cloned from sibling tools ('JSON text to validate; discarded after the check', 'IANA timezone name'). The description never maps the robots.txt fetch to the 'url' parameter or states that the other parameters are irrelevant, and no parameters are required, making correct invocation ambiguous.

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

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

The description states a specific verb and resource ('Fetch a public robots.txt') and a specific output ('group counts only'). This clearly distinguishes the tool from sibling utilities such as 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?

The core use case is implied by the wording, but the description gives no explicit guidance on when to choose this tool over alternatives, nor any exclusions. It also does not mention what to do when a site lacks a robots.txt or when a different inspection tool 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, the description carries the full burden of behavioral disclosure. It does state one concrete behavior: query and fragment are dropped. But it does not mention handling of invalid URLs, case normalization, default ports, or output format, which are relevant for a normalization tool. The unrelated schema parameters further muddy expectations.

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

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

The description is a single, efficient sentence that front-loads the primary output and then states the key processing detail. It is concise and easy to parse, though it omits necessary context that would improve usefulness.

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

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

For a tool with no annotations, no output schema, and multiple seemingly unrelated parameters, this description is insufficient. It does not explain how to invoke the tool with the correct parameter combination, what the return value looks like, or how the 'json' and 'zone' parameters factor in. An agent cannot confidently call this tool based on 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. The description adds no semantics beyond the schema and actually complicates parameter understanding by implying 'host' is an output while the schema lists it as an input. The roles of 'json' and 'zone' are unexplained by the description, and their presence suggests the tool may have additional behaviors beyond URL normalization.

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 clear verb and resource: normalize a URL and return origin, host, and path. However, the input schema includes 'host', 'json', and 'zone' parameters that seem unrelated to URL normalization, creating ambiguity about the tool's true purpose and whether all parameters are used. It lacks differentiation from sibling tools.

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

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

The description offers no guidance on when to use this tool, when not to use it, or what alternatives might be appropriate. No context is given for how the tool should be selected among siblings or what scenarios it is designed for.

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

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

No annotations are provided, so the description must carry the full behavioral burden. It discloses no read/write behavior, side effects, output shape, or operational characteristics beyond the noun 'catalog'.

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

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

The description is short, but 'Short' is filler and the structure is a bare noun phrase with no verb or callable action. This reads more like under-specification than effective conciseness.

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 tool needs a much richer description to be invocable. The one-line description leaves the parameter list completely disconnected from the tool's 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 description coverage is 100%, so the baseline is 3. The description itself adds no parameter meaning, and the parameters appear unrelated to a status-code catalog, but the high schema coverage prevents a lower score on this dimension.

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 ('Short catalog of common HTTP status codes') rather than an action, so it does not state what operation the tool performs. It largely restates the tool name 'status-catalog' and adds only the qualifier 'common HTTP'.

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 sibling. No alternatives are named, no conditions are given, and nothing explains how the url, host, json, or zone parameters relate to selecting or invoking 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 provided, the description carries the full burden of behavior disclosure. It clearly indicates a read-only time lookup, but does not mention output format, invalid zone handling, or whether the current time is fetched live or computed locally.

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

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

A single, front-loaded sentence with no filler. It earns its place and wastes no 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 is simple and the core behavior is clear, but with no output schema and no annotations, the description leaves out useful details like response format, invalid zone behavior, and the fact that only the zone parameter matters despite four schema properties.

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 parameters are documented. However, the description adds no meaning beyond the schema, and the schema includes three unrelated parameters (url, host, json) that are not clarified as irrelevant to the timezone 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 states the tool's core function: returning the current time for a named IANA timezone. It is specific enough to distinguish from utc-time, though it does not explicitly name that sibling or mention alternatives.

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

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

The description implies it should be used when a timezone name is available, but it gives no explicit guidance on when to prefer this tool over utc-time or other siblings. There are no exclusions or alternative routing cues.

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, but it only says 'Current UTC timestamp.' It does not disclose whether the result is a Unix epoch, an ISO string, or some other format, nor whether parameters affect the result. The behavioral profile is therefore incomplete.

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

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

The description is a single short sentence with no filler or redundancy. It is front-loaded and easy to parse. Still, it is more under-specified than genuinely concise because it omits useful behavioral details.

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

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

The tool has four optional parameters, no output schema, and no annotations, so the description must explain return format and parameter relevance. It does neither. The presence of unrelated-looking parameters and sibling tools increases the need for clarification that this description does not provide.

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

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

Schema description coverage is 100%, so the baseline is 3 even though the description adds no parameter information. However, the description also does not explain how url, host, json, or zone relate to returning a UTC timestamp, which leaves meaningful 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 that the tool returns the current UTC timestamp, which is a specific resource/result. It is not a tautology because it adds 'current' and 'timestamp' to the tool name. However, it does not explicitly mention sibling tools or contrast itself with timezone-related alternatives.

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

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

The description gives no guidance on when to use this tool versus alternatives like timezone or iana-zones. It neither states selection criteria nor provides exclusion conditions. Any usage context is only implied by the tool name and the word 'UTC.'

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. It states a useful side effect ('The body is discarded'), but it does not disclose what the tool returns for valid vs invalid JSON, whether it errors, or whether only the json parameter is actually read. This leaves the agent guessing about the outcome.

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

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

Two short sentences with no filler. The main action is front-loaded and the side effect is stated second, so an agent gets the core purpose immediately.

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 no annotations and no output schema, so the description is the only source for invocation and result expectations. It is too sparse: it omits return format, error behavior, and which of the four schema parameters should be supplied, especially because the schema includes unrelated fields.

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

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

Schema description coverage is 100%, so the baseline is 3 even though the description itself adds no parameter detail beyond mentioning 'body.' The description does not clarify that url, host, and zone appear irrelevant to validate-json, which could cause an agent to populate the wrong 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 uses a clear verb and object: 'Check whether a body is valid JSON,' which distinguishes it from the sibling tools. It loses a point because 'body' is not explicitly tied to the json parameter, so the exact input resource is slightly ambiguous.

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

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

The usage context is implied: use this when you need to verify that a JSON payload is well-formed. There is no explicit statement of when not to use it or which sibling tool might be an alternative, though no sibling appears to compete directly.

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