Server Quality Checklist

Tool Scores

• claude_codeA
  3.6/5.0
  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 does describe some behavioral traits like timeout handling ('split the task into smaller steps'), analysis-only mode ('no actual file modifications should be made'), and task orchestration patterns. However, it doesn't cover important aspects like authentication requirements, rate limits, error handling, or what happens when operations fail.

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

  Conciseness2/5

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

  The description is excessively long (over 500 words) with multiple sections, bullet points, and promotional language ('it might surprise you!', 'Claude can do much more, just ask it!'). While well-structured with clear categories, it contains redundant information and marketing fluff that doesn't help an AI agent select and invoke the tool correctly.

  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 complex 6-parameter tool with no annotations and no output schema, the description provides substantial context about capabilities and usage patterns. However, it lacks critical information about return values, error conditions, and operational constraints. The description compensates somewhat for the lack of structured metadata but leaves important gaps for a tool of this complexity.

  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 6 parameters thoroughly. The description adds some context about 'workFolder' ('Mandatory when using file operations') and mentions 'parentTaskId' and 'returnMode' in the task orchestration section, but doesn't provide significant additional semantic meaning beyond what's already in the schema descriptions.

  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 this is a 'versatile multi-modal assistant for code, file, Git, and terminal operations via Claude CLI' and provides specific examples of what it can do (file operations, code generation/analysis, Git workflows, terminal commands, web search, etc.). It distinguishes itself from sibling tools like 'convert_task_markdown' and 'health' by being a comprehensive execution tool rather than a specialized converter or health checker.

  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 provides clear context for when to use this tool (for code, file, Git, terminal operations, web search, multi-step workflows, GitHub integration, task orchestration) and includes specific prompt tips. However, it doesn't explicitly state when NOT to use it or provide clear alternatives to sibling tools, though the broad scope makes alternatives less relevant.

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

• healthA
  3.9/5.0
  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 describes the return content (health status, version, configuration) but lacks details on response format, potential errors, or operational constraints like rate limits. The description is accurate but minimal, providing basic behavioral context without depth.

  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, well-structured sentence that efficiently conveys the tool's purpose without unnecessary words. It is front-loaded with the core action ('Returns') and specifies all key details concisely, making it easy for an agent to parse and understand quickly.

  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?

  Given the tool's simplicity (0 parameters, no annotations, no output schema), the description is adequate but minimal. It covers the basic purpose and return types, but lacks details on output structure or error handling. For a diagnostic tool, more context on response format would enhance completeness, though the current description meets minimum viability.

  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?

  The tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description appropriately omits parameter details, focusing instead on the tool's purpose and output. This aligns with the baseline expectation for zero-parameter tools.

  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 ('Returns') and the exact resources returned ('health status, version information, and current configuration'), with the target system explicitly named ('Claude Code MCP server'). It distinguishes itself from sibling tools like 'claude_code' and 'convert_task_markdown' by focusing on server diagnostics rather than code operations or markdown conversion.

  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 context (checking server health/configuration) but does not explicitly state when to use this tool versus alternatives. No guidance is provided on prerequisites, timing, or comparisons with sibling tools, leaving the agent to infer appropriate usage scenarios.

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

• convert_task_markdownA
  4/5.0
  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 that the tool returns an array of tasks and can save output to a file or return JSON directly, which adds useful behavioral context. However, it lacks details on error handling, file format requirements, or performance aspects like rate limits.

  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 front-loaded and concise, consisting of two sentences that efficiently convey the tool's purpose and output usage. Every sentence earns its place by providing essential information without redundancy or unnecessary details.

  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 tool's moderate complexity (file conversion with two parameters) and no output schema, the description is mostly complete. It explains the conversion process and output format, but could benefit from mentioning potential errors or input validation. The lack of annotations means it adequately covers the basics but leaves some behavioral gaps.

  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 the schema provides, such as examples or constraints on file paths. The baseline score of 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.

  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 ('Converts markdown task files') and the target format ('Claude Code MCP-compatible JSON format'), distinguishing it from sibling tools like 'claude_code' (which executes tasks) and 'health' (likely a status check). It uses precise verbs and identifies the resource being transformed.

  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 provides clear context for usage by mentioning that the output can be used with 'claude_code', implying this tool prepares data for execution. However, it does not explicitly state when not to use it or name alternatives, such as whether other tools handle different file formats or if direct JSON input is possible.

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