Server Quality Checklist

Tool Scores

• extract_structured_contentC
  2.9/5.0
  Behavior2/5

  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 what the tool does but lacks details on traits like error handling (e.g., invalid URLs or selectors), performance (e.g., timeouts or rate limits), output format (e.g., JSON structure), or side effects (e.g., whether it makes network requests). This leaves significant gaps for an agent to understand how the tool behaves beyond its basic function.

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

  Conciseness5/5

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

  The description is a single, efficient sentence that front-loads the core purpose ('Extracts structured content from a web page') and specifies the method ('using CSS selectors'). There is no wasted verbiage or redundant information, making it highly concise and well-structured for quick comprehension.

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

  Completeness2/5

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

  Given the tool's complexity (involving web scraping with CSS selectors), lack of annotations, and no output schema, the description is incomplete. It doesn't cover behavioral aspects like error handling, output structure, or limitations (e.g., JavaScript-rendered content). While the schema documents parameters well, the overall context for safe and effective use is insufficient, especially for a tool that interacts with external resources.

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

  Parameters3/5

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

  Schema description coverage is 100%, with clear descriptions for both parameters ('url' and 'selectors'). The description adds minimal value beyond the schema by mentioning 'CSS selectors', which aligns with the schema's description for 'selectors'. It doesn't provide additional context like selector syntax examples or URL validation rules. Given the high schema coverage, 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.

  Purpose4/5

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

  The description clearly states the action ('extracts') and target ('structured content from a web page'), and specifies the method ('using CSS selectors'). It distinguishes from siblings like 'fetch_page' (which likely retrieves raw HTML) and 'summarize_content' (which processes content). However, it doesn't explicitly contrast with 'search_documentation', leaving some ambiguity about when to choose one over the other.

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

  Usage Guidelines2/5

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

  The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a valid URL), exclusions (e.g., not for non-web content), or comparisons with sibling tools like 'fetch_page' for raw HTML or 'search_documentation' for query-based extraction. Usage is implied only by the tool's name and description.

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

• fetch_pageC
  2.9/5.0
  Behavior2/5

  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 mentions 'fetches and processes' but doesn't clarify aspects like rate limits, authentication needs, error handling, or what 'processes' entails (e.g., cleaning HTML, extracting text). This leaves significant gaps for a tool that interacts with external resources.

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

  Conciseness5/5

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

  The description is a single, efficient sentence that front-loads the core purpose without any wasted words. It's appropriately sized for the tool's complexity, making it easy to parse quickly.

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

  Completeness2/5

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

  Given the tool's complexity (fetching and processing web pages), lack of annotations, and no output schema, the description is incomplete. It doesn't explain return values, error cases, or behavioral traits, leaving the agent with insufficient information for reliable use.

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

  Parameters3/5

  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. The description adds no additional meaning beyond the schema, which already details parameters like 'url', 'includeScreenshot', and 'maxContentLength'. No extra syntax, format, or usage context is provided.

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

  Purpose4/5

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

  The description clearly states the tool's purpose with specific verbs ('fetches and processes') and resource ('a web page'), and specifies the outcome ('for LLM context'). It doesn't explicitly differentiate from sibling tools like 'extract_structured_content' or 'summarize_content', which prevents a perfect score.

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

  Usage Guidelines2/5

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

  The description provides no guidance on when to use this tool versus alternatives like 'extract_structured_content' or 'search_documentation'. It lacks context about prerequisites, exclusions, or comparative use cases, offering only a basic functional statement.

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

• search_documentationC
  2.9/5.0
  Behavior2/5

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

  With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'returns relevant content' but doesn't specify what 'relevant' means, whether results are ranked, if there's pagination, rate limits, authentication requirements, or what format/content is returned. This leaves significant behavioral aspects unclear.

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

  Conciseness5/5

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

  The description is a single, efficient sentence that states the core functionality without unnecessary words. It's appropriately sized and front-loaded with the essential information.

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

  Completeness2/5

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

  For a search tool with no annotations and no output schema, the description is inadequate. It doesn't explain what constitutes 'relevant content', how results are structured, whether there are limitations or constraints, or how this differs from sibling tools that also retrieve content.

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

  Parameters3/5

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

  Schema description coverage is 100%, with both parameters clearly documented in the schema. The description doesn't add any meaningful parameter semantics beyond what the schema already provides, so it meets the baseline of 3 for high schema coverage without adding value.

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

  Purpose4/5

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

  The description clearly states the action ('Searches') and target resource ('Cloudflare documentation'), providing a specific verb+resource combination. However, it doesn't differentiate from sibling tools like 'fetch_page' or 'extract_structured_content' which might also retrieve documentation content.

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

  Usage Guidelines2/5

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

  No guidance is provided about when to use this tool versus alternatives like 'fetch_page' for direct retrieval or 'extract_structured_content' for processing. The description only states what it does, not when it's appropriate or what distinguishes it from sibling tools.

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

• summarize_contentC
  2.9/5.0
  Behavior2/5

  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 mentions the tool 'summarizes web content' but fails to describe key behaviors such as how the summarization is performed (e.g., algorithm, quality), potential rate limits, error handling, or what the output looks like. This leaves significant gaps in understanding the tool's operation.

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

  Conciseness5/5

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

  The description is a single, efficient sentence that directly states the tool's purpose without any redundant information. It is appropriately sized and front-loaded, making it easy to understand at a glance.

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

  Completeness2/5

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

  Given the lack of annotations and output schema, the description is incomplete. It doesn't address the tool's behavior, output format, or error conditions, which are crucial for a tool that processes web content. The high schema coverage helps with parameters, but overall context is insufficient for effective use.

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

  Parameters3/5

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

  The schema description coverage is 100%, so the schema already documents both parameters ('url' and 'maxLength') adequately. The description adds no additional meaning beyond what the schema provides, such as explaining the units for 'maxLength' or constraints on the 'url'. This meets the baseline for high schema coverage.

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

  Purpose4/5

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

  The description clearly states the tool's purpose with a specific verb ('summarizes') and resource ('web content'), and it provides the intended outcome ('for more concise LLM context'). However, it doesn't explicitly differentiate from sibling tools like 'extract_structured_content' or 'fetch_page', which might also process web content in different ways.

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

  Usage Guidelines2/5

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

  The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to choose summarization over extraction or fetching, nor does it specify any prerequisites or exclusions for usage, leaving the agent to infer context from the tool name alone.

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