Server Quality Checklist

Tool Scores

• suggest_css_solutionC
  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 'strict enforcement of modern CSS features' and 'zero-JavaScript solutions', which hints at constraints, but doesn't detail what happens if inputs are invalid, whether it generates code or explanations, or any rate limits or authentication needs. For a generative tool with zero annotation coverage, this is insufficient.

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

  Conciseness4/5

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

  The description is a single, well-structured sentence that efficiently conveys the core functionality. It's front-loaded with the main purpose ('CSS-ONLY solution engine') and adds specifics without redundancy. However, it could be slightly more concise by avoiding the parenthetical date range.

  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 complexity of a generative CSS tool with 5 parameters and no annotations or output schema, the description is incomplete. It lacks details on behavioral traits (e.g., output format, error handling), usage context versus siblings, and doesn't compensate for the absence of structured safety or output information. This leaves significant gaps for 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%, so the schema already documents all 5 parameters thoroughly. The description adds no additional meaning about parameters beyond what's in the schema (e.g., it doesn't clarify how 'preferred_approach' interacts with 'target_browsers'). 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 tool's purpose: it's a 'CSS-ONLY solution engine' that provides 'zero-JavaScript solutions using cutting-edge CSS (2021-2025)'. It specifies the resource (CSS solutions) and the verb (provides/suggests). However, it doesn't explicitly differentiate from sibling tools like 'check_css_browser_support' or 'confirm_css_property_usage', which appear to be more diagnostic rather than generative.

  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 mentions 'strict enforcement of modern CSS features' and 'zero-JavaScript solutions', which implies it should be used for modern CSS-only tasks. However, it provides no explicit guidance on when to use this tool versus the sibling tools (e.g., 'check_css_browser_support' for compatibility checks). There's no mention of prerequisites, exclusions, or alternative scenarios.

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

• confirm_css_property_usageB
  3.2/5.0
  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 confirming consent and providing guidance, but lacks details on what the tool actually does behaviorally—e.g., whether it validates the CSS property, stores consent, returns specific guidance formats, or has any side effects like logging. This is a significant gap for a tool with potential implications.

  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. Every word earns its place, with no redundancy or unnecessary details, making it highly concise and well-structured.

  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 moderate complexity (3 parameters, no output schema, no annotations), the description is incomplete. It doesn't explain what the tool returns (e.g., guidance format), how it handles invalid inputs, or any behavioral traits like side effects. This leaves gaps for an AI agent to understand the full context.

  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%, so the schema already documents all three parameters. The description adds no additional meaning beyond what the schema provides—it doesn't explain how parameters interact (e.g., how 'user_consent' affects output) or provide examples. Baseline 3 is appropriate as 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 tool's purpose with specific verbs ('Confirms user consent' and 'provides implementation guidance') and identifies the resource ('specific CSS property'). It distinguishes from sibling tools like 'check_css_browser_support' or 'get_css_property_details' by focusing on consent and guidance rather than support checks or details retrieval, though it doesn't explicitly name these alternatives.

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

  Usage Guidelines3/5

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

  The description implies usage when user consent and CSS property implementation are needed, but it doesn't explicitly state when to use this tool versus alternatives like 'suggest_css_solution'. There's no guidance on prerequisites, exclusions, or specific contexts, leaving usage somewhat vague.

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

• check_css_browser_supportB
  3.4/5.0
  Behavior2/5

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

  With no annotations provided, the description carries full burden but only states what the tool does at a high level. It doesn't disclose behavioral traits like response format, error handling, rate limits, authentication needs, or whether it's a read-only operation. The mention of 'detailed compatibility information' is vague.

  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. Every word earns its place by specifying the action, resource, data source, and output type without redundancy or unnecessary elaboration.

  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 no annotations and no output schema, the description is incomplete for a tool that returns 'detailed compatibility information.' It doesn't explain what the output looks like (e.g., browser versions, support levels), potential limitations, or how to interpret results. This leaves significant gaps for 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%, so the schema already documents both parameters thoroughly. The description adds no additional meaning beyond what's in the schema (e.g., no examples of CSS property formats, no clarification on what 'experimental/draft features' entail). Baseline 3 is appropriate when schema does the heavy lifting.

  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 verb ('Checks') and resource ('browser support for specific CSS properties'), specifies the data source ('using MDN data'), and distinguishes from siblings by focusing on compatibility information rather than usage confirmation, property details, or solution suggestions.

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

  Usage Guidelines3/5

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

  The description implies usage when browser compatibility information is needed, but provides no explicit guidance on when to use this tool versus the sibling tools (confirm_css_property_usage, get_css_property_details, suggest_css_solution). No exclusions or alternatives are mentioned.

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

• get_css_property_detailsA
  3.7/5.0
  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. It discloses the tool retrieves information from MDN documentation and mentions what content is included (syntax, examples, use cases), but doesn't cover important behavioral aspects like rate limits, authentication needs, error handling, or response format. The description adds some context but leaves significant gaps.

  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?

  Single sentence that efficiently communicates the tool's purpose, source, and content coverage. Every word earns its place with zero waste or redundancy. The description is appropriately sized for this type of lookup tool.

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

  Completeness3/5

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

  For a read-only lookup tool with 2 parameters and no output schema, the description adequately covers the basic purpose but lacks important contextual details. Without annotations or output schema, it should ideally mention response format, error conditions, or limitations. The description is complete enough to understand what the tool does but not how to effectively use it.

  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%, so the schema already fully documents both parameters. The description mentions 'examples' which relates to the 'include_examples' parameter, but doesn't add meaningful semantic context beyond what the schema provides. 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.

  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 ('Retrieves comprehensive information'), resource ('CSS property from MDN documentation'), and scope ('including syntax, examples, and use cases'). It distinguishes from siblings by focusing on documentation retrieval rather than browser support checking, usage confirmation, or solution suggestion.

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

  Usage Guidelines3/5

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

  The description implies usage when detailed documentation about a CSS property is needed, but doesn't explicitly state when to use this tool versus alternatives like 'check_css_browser_support' or 'suggest_css_solution'. There's no guidance on prerequisites or exclusions.

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