Server Quality Checklist

Tool Scores

• fetch_urlC
  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 but only states the basic action ('Retrieve web page content'). It doesn't mention potential side effects (e.g., network requests, rate limits), authentication needs, error handling, or what the return content looks like (structure or format). This is inadequate for a tool with 10 parameters and no output schema.

  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 unnecessary words. It earns its place by clearly stating what the tool does, making it easy to scan and understand.

  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 complex tool with 10 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain behavioral traits, return values, or usage context, leaving significant gaps that could hinder correct tool selection and invocation by an AI agent.

  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%, providing detailed documentation for all 10 parameters. The description adds no additional parameter semantics beyond implying a 'URL' input, which is already covered in the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

  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 verb ('Retrieve') and resource ('web page content from a specified URL'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'fetch_urls' (plural) or 'browser_install', but the singular 'URL' suggests this is for single-page retrieval versus batch operations.

  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 on when to use this tool versus alternatives like 'fetch_urls' or 'browser_install'. The description lacks context about prerequisites, typical use cases, or exclusions, leaving the agent to infer usage based on tool names alone.

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

• fetch_urlsC
  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. While 'Retrieve web page content' implies a read operation, it doesn't mention potential side effects (e.g., network requests, rate limits), authentication needs, error handling, or what format/content is returned. The description is minimal and lacks crucial operational context.

  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 communicates the core purpose without any fluff. It's appropriately sized for a tool with well-documented parameters in the schema, though it could benefit from additional context about when to use it.

  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 tool with 10 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what 'web page content' means in practice (HTML? text? metadata?), how results are structured for multiple URLs, error conditions, or performance characteristics. The agent lacks crucial information to use this tool effectively.

  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 description mentions 'multiple specified URLs' which aligns with the 'urls' parameter, but adds no additional semantic context beyond what the comprehensive schema already provides (100% coverage). With excellent schema documentation, the baseline is 3 even though the description offers minimal parameter insight.

  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 ('Retrieve web page content') and target ('from multiple specified URLs'), making the purpose immediately understandable. It distinguishes from the sibling 'fetch_url' by specifying 'multiple' URLs, though it doesn't explain the functional difference between the two tools beyond that.

  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 the sibling 'fetch_url' or 'browser_install'. It doesn't mention any prerequisites, limitations, or alternative scenarios. The agent must infer usage from the tool name and parameters alone.

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

• browser_installA
  4.2/5.0
  Behavior3/5

  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 explains the tool's purpose and trigger condition but doesn't describe what happens during installation (e.g., download size, time, network requirements), potential side effects, or what constitutes successful completion. It provides basic context but lacks richer behavioral details needed for a mutation tool.

  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 perfectly concise with two sentences that each serve a distinct purpose: the first states what the tool does, and the second provides usage guidance. There's zero wasted language, and the information is front-loaded with the core functionality stated immediately.

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

  Completeness4/5

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

  Given this is a mutation tool (installation) with no annotations and no output schema, the description provides good context about when to use it and what it does. However, it doesn't explain what happens after installation completes or what the agent should expect, leaving some gaps in completeness for a tool that modifies system state.

  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 (withDeps, force) well-documented in the schema. The description doesn't add any parameter-specific information beyond what's already in the schema, so it meets the baseline of 3 where the schema does the heavy lifting without additional value from the description.

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

  Purpose5/5

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

  The description clearly states the specific action ('Install Playwright Chromium browser binary') and resource ('Chromium browser binary'), distinguishing it from sibling tools like fetch_url and fetch_urls which perform different operations. It provides a concrete use case ('if you get an error about the browser not being installed') that makes the purpose unambiguous.

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

  Usage Guidelines5/5

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

  The description explicitly states when to use this tool ('if you get an error about the browser not being installed'), providing clear contextual guidance. While it doesn't mention alternatives or exclusions, the specific error-based trigger makes usage guidelines comprehensive and actionable for the stated purpose.

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