Language ar

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

The description discloses that page content is not stored, which is a meaningful behavioral guarantee. However, it does not mention other side effects such as network requests, caching, or data retention beyond page content, leaving some behavioral aspects implicit.

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

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

The description is a single, concise sentence that directly states the tool's behavior without unnecessary detail. It is well-structured and easy to parse.

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

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

The description is incomplete for practical use. It does not explain how the parameters relate to each other, why json and zone are included, or how the output is formatted. The context is insufficient for an agent to confidently use this tool, especially given the existence of more targeted 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?

While the schema provides brief descriptions for each parameter (url, host, json, zone), these descriptions do not align with the tool's stated purpose of returning host, scheme, and HTTP status for a URL. The inclusion of json and zone parameters is unexplained and confusing, making the parameter semantics unclear in the context of the tool's core function.

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

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

The description clearly states the tool's function: 'Return host, scheme, and HTTP status for a URL.' This specifies a concrete action and output, leaving no ambiguity about the primary purpose. The added note that page content is not stored further clarifies the 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?

No guidance is provided on when to use this tool versus the sibling tools like normalize-url, status-catalog, or validate-json. The description lacks any conditional or comparative context, so an agent cannot determine if this should be preferred over more specialized alternatives.

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

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

The statement 'No identifiers are retained' gives a small privacy-relevant detail, but it does not disclose whether the operation is read-only, whether it sends data externally, or what other side effects may occur. With no annotations provided, the description carries the full burden and only partially addresses it.

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

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

The description is only two short sentences and contains no redundant or irrelevant content. It is concise and easy to read, though its brevity contributes to the lack of 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?

The tool has four optional parameters and no output schema, but the description does not explain what output to expect, how the parameters are used, or what 'classified' means. This leaves the agent without enough context to invoke the tool correctly.

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

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

All four parameters have schema descriptions, so coverage is 100%. However, the descriptions are minimalist one-liners and do not explain how url, host, json, and zone relate to each other or to the 'classification' behavior, so the description adds little meaning beyond the schema.

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

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

The description says only 'Show how this request is classified' without defining what classification means, what categories are used, or what resource is being classified. It does not provide a specific verb or distinguish the tool from its 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?

There is no guidance on when to use this tool versus alternatives such as validate-json, normalize-url, or iana-zones. The description offers no context for selecting this tool based on the 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?

No annotations exist, and the description does not clarify side effects, data retention, or failure behavior; 'without WHOIS or data' is too ambiguous to count as meaningful transparency.

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

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

The description is brief but includes a confusing clause ('without WHOIS or data') that consumes space without adding clarity, and the overall structure is too sparse to be 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?

The tool lacks a proper hostname parameter, includes four irrelevant parameters, and has no output schema, so an agent cannot reliably invoke it or interpret results.

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

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

The schema descriptions are unrelated to hostname splitting: 'url' says normalize, 'json' says validate, and 'timezone' says IANA timezone, leaving no meaningful semantics for the stated task.

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

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

The description states a specific operation ('split a hostname into labels'), but the qualifier 'without WHOIS or data' is vague and the parameter names don't reinforce the intended purpose.

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

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

No when-to-use guidance is provided, and despite sibling tools like normalize-url and validate-json, there is no indication of how domain-shape differs or when it should be selected.

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

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

With no annotations available, the description must disclose behavior, but it only mentions 'for clock calls' without explaining side effects, network usage, read-only nature, or any operational details. The behavior remains completely opaque.

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

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

The description is very short and front-loaded, which is positive, but it omits critical information like the action performed and parameter relevance. Conciseness alone does not compensate for the lack of 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?

Given the simple tool name, the description is extremely incomplete. It lacks a verb, has no explanation of inputs/outputs, and the parameter schema appears incorrect for the stated purpose. An agent cannot reliably determine how to invoke this tool correctly.

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

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

The parameter descriptions are severely mismatched with the tool's purpose. For example, 'url' is described as 'HTTPS URL to normalize or cite' and 'json' as 'JSON text to validate', which are unrelated to IANA timezone names. These descriptions actively mislead an agent about what parameters are actually needed.

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 'Common IANA timezone names for clock calls' is a noun phrase that lacks a clear action verb. It hints that the tool provides a list of timezone names but does not explicitly state whether it retrieves, lists, or validates them, making the purpose ambiguous.

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

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

There is no guidance on when to use this tool versus the sibling tools such as 'timezone' or 'utc-time'. No conditions, examples, or alternative suggestions 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?

The description mentions 'fetch' but does not disclose any potential side effects, network behavior, rate limits, caching, or error handling. With no annotations to fill this gap, the agent has no information about the tool's operational characteristics.

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 that is direct and to the point. There is no unnecessary verbiage, and the main action is front-loaded.

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

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

Given the four ambiguous parameters and the lack of explanation about the output format or the meaning of 'group counts', the description is far from complete. An agent would not know how to invoke this tool correctly or interpret its results.

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 parameters (url, host, json, zone) are described with generic phrases that clearly belong to other tools (e.g., 'JSON text to validate' for validate-json, 'IANA timezone name' for timezone). The description does not explain how any of these relate to inspecting robots.txt, making the parameters misleading and unusable.

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

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

The description states a specific action (fetch public robots.txt) and output (return group counts only), which distinguishes it from the sibling tools like normalize-url or validate-json. However, it does not clarify what 'group counts' means or how the parameters fit, so it is not fully self-explanatory.

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 when a robots.txt check is needed or when another tool like normalize-url would be more appropriate. The description provides no usage context or prerequisites.

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

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

No annotations are present, and the description does not disclose any behavior, side effects, or safety profile, leaving the tool's operation completely opaque.

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

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

The description is extremely brief, but brevity without substance fails to convey essential information; it is not well-structured for understanding tool purpose.

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

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

Given the tool's name suggests a language-related function, the parameters and lack of explanation leave the tool's complete purpose and usage context severely incomplete.

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

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

Schema descriptions are 100% covered and self-explanatory, but the tool description adds no meaning connecting parameters to the tool's purpose, and the parameters (url, host, json, zone) appear unrelated to a language tag tool, creating confusion.

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?

Description 'ISO 639 language tag ar.' is a tautology; it does not state a verb or resource, and it does not distinguish the tool from siblings like validate-json or timezone.

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 on when to use this tool versus alternatives; the description provides no context or selection criteria.

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

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

The description claims to drop query and fragment from a URL, but the schema expects parameters like json and zone that are unrelated to URL normalization, creating a contradiction with the documented 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 only one sentence, which is concise, but it is not effectively structured. It omits key information about the parameters and their relation to the stated behavior, making it unhelpful despite its brevity.

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 and misleading due to the mismatch between the stated behavior and the input schema. It does not provide enough context for an agent to understand how to invoke the tool correctly or what output to expect.

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 parameter descriptions are inconsistent with the tool's stated purpose. The url parameter is described as 'HTTPS URL to normalize or cite', but host, json, and zone have descriptions that do not align with returning origin, host, and path. The schema provides no meaningful semantics for the tool's 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 a specific verb 'Return' and resource 'origin, host, and path for a URL', but the input schema includes unrelated parameters like host, json, and zone, making the actual purpose 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?

No guidance is provided on when to use this tool versus alternatives. The description does not mention any conditions or contexts for use.

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, and the description does not explicitly state whether the tool is read-only or has side effects. The term 'catalog' implies read-only, but this is not confirmed. The output format is also not described.

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 (six words) and contains no wasted words, but it lacks essential structure such as a clear verb or usage example. It is concise but at the expense of clarity.

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 incomplete from a contextual standpoint because the parameters are mismatched with the stated purpose. An agent cannot determine what to pass or what to expect, making the tool effectively unusable without additional information.

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 parameters (url, host, json, zone) have generic schema descriptions that appear unrelated to the tool's purpose. For example, 'HTTPS URL to normalize or cite' has no obvious connection to a catalog of HTTP status codes, leaving the agent without any clue how to invoke 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 'Short catalog of common HTTP status codes' clearly states the resource, but does not specify the verb or how the tool behaves (e.g., list, search, retrieve). It also does not differentiate it from sibling tools that might also relate to HTTP or web context.

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

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

There is no guidance on when to use this tool versus alternatives. The description provides no context such as 'Use when you need to look up a status code' or 'For validation, use validate-json instead.'

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

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

With no annotations, the description carries the transparency burden, but it only states that the tool returns the current time. It does not clarify behavior for invalid zone names, output format, or whether the extra url/host/json parameters are ignored.

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

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

The description is a single focused sentence with no redundant wording or structural issues. It is concise and directly communicates the tool's purpose.

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

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

The definition is incomplete because the input schema contains three unrelated parameters and no explanation of how they relate to the timezone operation. An agent cannot tell whether to provide only zone or all parameters, and there is no output schema or error behavior described.

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?

Only the zone property matches the tool's purpose; url, host, and json have descriptions that appear copied from unrelated tools and are not explained in the description. The schema descriptions do not clarify whether the extra parameters are required, 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 clearly states the tool returns the current time for a named IANA timezone, which is specific and distinguishes it from sibling tools like utc-time or iana-zones. It uses precise terminology and leaves little ambiguity about the core function.

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 choose this tool over siblings such as utc-time or iana-zones, and it does not mention prerequisites or usage context. There is no information about when this tool is appropriate versus alternatives.

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

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

With no annotations, the description carries full responsibility for explaining behavior. It only states the output concept, but the input schema includes unrelated parameters (url, host, json, zone) with descriptions from other tools, creating a misleading impression that this tool accepts those inputs. No mention is made of whether parameters are ignored, optional, or invalid.

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

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

The description is extremely short and contains no fluff, which is positive. However, it is a fragment rather than a complete sentence and omits any mention of parameters or return format, making it too terse to be considered well-structured.

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

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

The description is incomplete for a tool with a four-parameter schema and no output schema. It does not explain what the parameters mean, whether they are optional, what the response format is, or how to handle errors. The mismatch between the stated purpose and the schema makes the tool contextually confusing.

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

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

All four parameters have descriptions, but they appear copied from other tools (URL normalization, hostname, JSON validation, timezone) and are irrelevant to returning a UTC timestamp. No parameter is explained in the context of this tool, and the schema provides no meaningful guidance for how parameters relate to the tool's purpose.

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 identifies the tool's purpose as providing the current UTC time, and the tool name reinforces this. It is distinguishable from sibling tools like 'timezone' which likely handles conversions. However, it is a noun phrase rather than an explicit statement of action.

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 such as 'timezone' or other siblings. There is no mention of use cases, prerequisites, or scenarios where UTC time is needed.

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

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

The description says the body is discarded, implying no persistent side effects. However, it does not clarify the output format (e.g., boolean, error message) or whether any other parameters (url, host, zone) affect the check's 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 extremely short with no redundant wording. It conveys the core action in two sentences, though the brevity comes at the cost of clarity.

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 fails to explain how the parameters (especially url, host, zone) fit into the validation process. It leaves the tool's full functionality and expected inputs largely unexplained, making it impossible to use correctly 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?

The description mentions a 'body' but never explains the parameters. The schema descriptions for url, host, json, and zone are not referenced, so the tool-level description adds no value in understanding what each parameter does or why they exist.

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 'checks whether a body is valid JSON', which is a clear action. However, it refers to a 'body' without mapping it to the 'json' parameter, and the additional parameters (url, host, zone) are unmentioned, creating ambiguity about the intended input.

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

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

No guidance is provided for when to use this tool versus other siblings like validate-json or normalize-url. The description gives no context about typical scenarios, prerequisites, or alternatives.

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