Server Quality Checklist

Tool Scores

• palette_generateA
  3.5/5.0
  Behavior2/5

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

  No annotations are provided, so the description carries full behavioral disclosure burden. It only states the action and types, offering no information about output format, determinism, error handling, or side effects. For a generation tool, the missing output specification is a notable gap.

  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 action ('Generate a color palette from a base color') and then lists the types. There is no redundancy or unnecessary information.

  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?

  The description is adequate for invoking the tool correctly (color and type), but it omits output expectations (e.g., whether the result is an array of hex codes) and does not specify supported color formats. With no output schema and no annotations, these gaps reduce completeness for an agent that needs to interpret the result.

  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 already provides descriptions for both parameters (color: 'Base color in any supported format'; type: enum list). The tool description restates the type list but adds no new semantic meaning beyond what the schema covers. With 100% schema coverage, baseline 3 is appropriate.

  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 states a clear verb ('generate') and resource ('color palette'), and explicitly lists the five palette types, making the tool's function unambiguous. It naturally distinguishes itself from siblings like color_convert (conversion), contrast_check (contrast), and color_mix (mixing) by focusing on palette generation.

  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?

  Usage context is implied by the purpose ('generate a palette from a base color') but no explicit when-to-use or when-not-to-use guidance is given. Alternatives are not mentioned, and there are no exclusions, so an agent must infer that this is for palette creation rather than single-color operations.

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

• color_mixA
  3.6/5.0
  Behavior3/5

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

  No annotations are present, so the description carries the full burden of behavioral disclosure. It does communicate operation-specific input constraints and implies a pure color transformation, but it omits return format, error behavior, and what happens with invalid operation/color combinations.

  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, front-loaded sentence that names all operations and immediately gives the conditional input requirements. Every clause carries necessary information with no filler.

  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 tool with six enum operations, no output schema, and no annotations, the description covers operation selection and basic input shape but misses return format, handling of ratios/weights, and boundary behavior. It is adequate but leaves clear gaps an agent would need to resolve elsewhere.

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

  Parameters4/5

  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 adds value by linking operations to the appropriate parameters and by stating the minimum-color requirement (2+ colors for mix/blend), which is not explicit in the schema.

  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 names a specific verb/resource pair: mix, blend, lighten, darken, saturate, or desaturate colors. It is clearly distinguishable from sibling tools like color_convert, palette_generate, contrast_check, and css_gradient, though it does not explicitly name them.

  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 gives operation-specific usage rules: mix/blend require 2+ colors, while lighten/darken/saturate/desaturate require 1 color and an amount. However, it does not state when to choose this tool over alternatives, leaving sibling differentiation to inference from names.

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

• contrast_checkA
  3.6/5.0
  Behavior3/5

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

  Since no annotations are provided, the description carries the full burden. It discloses the core behavior (computes contrast and reports compliance levels) but does not mention return format, error handling, or that it is a read-only operation. It adds some context beyond the schema but remains minimal for a tool with zero annotation coverage.

  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 two short sentences with no filler. The purpose and outcome are front-loaded in the first sentence, and the compliance details add necessary context in the second. Every word earns its place.

  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 simple two-parameter tool without an output schema, the description should clarify what the agent receives. It states 'Reports AA/AAA compliance' but does not specify whether the numeric contrast ratio is also returned, nor does it mention error handling for invalid color formats. This is a significant gap for successful invocation and result interpretation.

  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 coverage is 100% with descriptions for both parameters ('First color (foreground)' and 'Second color (background)'), so the description adds no additional parameter meaning. The baseline of 3 applies when the schema fully documents parameters, and the description does not need to supplement it.

  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?

  States the specific verb 'Check' with the resource 'WCAG contrast ratio between two colors' and clearly differentiates from sibling tools like color_convert, palette_generate, color_mix, and css_gradient. The additional mention of AA/AAA compliance for text and UI components further clarifies the purpose.

  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 when to use the tool (when needing contrast ratio/compliance) but does not explicitly state exclusions or alternatives. While the purpose is self-evident and distinct from siblings, there is no guidance on when not to use it or that other tools should be used instead for different color operations.

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

• css_gradientA
  3.6/5.0
  Behavior2/5

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

  No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions supported features but does not disclose what the tool returns (e.g., a CSS string), how it handles invalid inputs, or any constraints beyond what the schema states. This is a significant gap for a generation 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 a single sentence with zero wasted words, front-loading the verb and resource. It efficiently communicates the core function and supported variations.

  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?

  For a simple generation tool, the description adequately conveys that it produces CSS code. Since there is no output schema, it implies the return value. However, it omits potential edge cases and error handling, but given the simplicity of the tool and full schema coverage, the missing details are minor.

  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 fully documents each parameter. The description mentions 'direction, stops, and browser prefixes', which loosely correspond to parameters, but it does not add meaning beyond what the schema already provides. Baseline 3 is appropriate.

  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 'Generate' and the resource 'CSS gradient code', and lists supported gradient types (linear, radial, conic) and features (direction, stops, browser prefixes). This distinguishes it from sibling tools like color_convert, which focus on color conversion rather than CSS generation.

  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 the tool should be used when generating CSS gradient code, but it does not explicitly mention when not to use it or how it compares to alternatives. Sibling tools are clearly different in purpose, so confusion is unlikely, but explicit usage guidance is missing.

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

• color_convertA
  4/5.0
  Behavior3/5

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

  With no annotations provided, the description must carry the behavioral burden. It does disclose the input acceptance (any format) and the output (all formats), which are core behaviors. However, it does not mention error handling, invalid input behavior, output formatting details (e.g., exact string patterns), or any caveats. For a simple conversion tool, this is adequate but not rich.

  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 two short sentences that are front-loaded with the core action and formats. Every word contributes to understanding, with zero filler. It efficiently conveys the tool's purpose and behavior.

  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 the low complexity (one parameter, no output schema), the description is nearly complete. It covers the input flexibility and output breadth. A minor gap is the lack of explicit output structure (since there is no output schema), but 'returns all formats' implies a comprehensive result. For this simple tool, the missing details are unlikely to impede correct usage.

  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%, meaning the parameter 'color' is fully described in the schema with examples for each format. The description adds minimal new semantic value by restating 'any format' and 'returns all formats', which reinforces but does not exceed the schema's documentation. Baseline of 3 is appropriate when the schema already details the parameter.

  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 'convert' and the resource 'a color between formats', enumerating the specific formats. This distinguishes it from sibling tools like palette_generate, contrast_check, color_mix, and css_gradient, which have different primary actions. Even without naming siblings, the purpose is unambiguous.

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

  Usage Guidelines4/5

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

  The description states 'Accepts any format as input and returns all formats', which clearly communicates when to use it—when a color needs conversion. There are no exclusions or alternative recommendations, but the use case is so self-evident that the lack of siblings mention is acceptable. It implies 'use this to convert colors' without requiring additional guidance.

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