Server Quality Checklist

Tool Scores

• convert_task_markdownB
  3.3/5.0
  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. It mentions the return value (array of tasks) and output behavior (saving or returning JSON), but doesn't cover critical aspects like error handling, file format requirements, or performance implications. For a tool with no annotations, 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.

  Conciseness5/5

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

  The description is concise and front-loaded with the core purpose in the first sentence, followed by a clear statement of the return value and usage context. Every sentence adds value without redundancy, making it efficient and well-structured.

  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 no annotations, no output schema, and 2 parameters with full schema coverage, the description is minimally adequate. It covers the basic purpose and output but lacks details on behavioral traits, error cases, or integration with sibling tools. This meets the minimum viable threshold but has clear 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 fully documents both parameters. The description adds no additional parameter semantics beyond what the schema provides (e.g., it doesn't explain markdown file structure or JSON format details). 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.

  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: converting markdown task files to Claude Code MCP-compatible JSON format. It specifies the verb 'converts' and the resource 'markdown task files', and mentions the output format. However, it doesn't explicitly differentiate from sibling tools like 'claude_code' or 'health', which would require a 5.

  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 by stating the output can be executed using 'claude_code', suggesting a workflow. However, it lacks explicit guidance on when to use this tool versus alternatives (e.g., direct use of 'claude_code' or other conversion methods) or any prerequisites. This is adequate but has gaps.

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

• healthA
  4/5.0
  Behavior3/5

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

  No annotations are provided, so the description carries the full burden. It discloses that the tool returns health status, version, and configuration, which gives basic behavioral context. However, it lacks details on potential side effects, error handling, or performance characteristics, which would be useful for a monitoring tool. The description does not contradict any annotations.

  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 any wasted words. It is front-loaded with the key action ('Returns') and clearly lists the returned information, 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.

  Completeness4/5

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

  Given the tool's low complexity (0 parameters, no output schema, no annotations), the description is complete enough for its purpose. It explains what the tool returns, which is adequate for a simple health-check tool. However, without an output schema, adding a hint about the return format could slightly improve completeness.

  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, and schema description coverage is 100%, so there is no need for parameter documentation in the description. The baseline for 0 parameters is 4, as the description appropriately omits parameter details and focuses on the tool's purpose, which is sufficient given the lack of inputs.

  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 verb ('Returns') and resource ('health status, version information, and current configuration of the Claude Code MCP server'), distinguishing it from sibling tools like 'claude_code' and 'convert_task_markdown' which likely perform different functions. It precisely defines what the tool does without being vague or tautological.

  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 by specifying it returns server health and configuration, suggesting it should be used for monitoring or diagnostic purposes. However, it does not explicitly state when to use this tool versus alternatives or provide any exclusions, leaving some ambiguity about its specific application scenarios.

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

• claude_codeA
  4.1/5.0
  Behavior4/5

  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 an excellent job describing the tool's capabilities, constraints (workFolder requirement, timeout handling), and operational patterns (boomerang orchestration, return modes). However, it doesn't explicitly mention authentication requirements, rate limits, or error handling specifics.

  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 redundant information, marketing language ('it might surprise you!'), and tips that belong in documentation rather than a tool description. While well-structured with bullet points, it violates the principle that every sentence should earn its place in a tool description.

  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 complex 6-parameter tool with no annotations and no output schema, the description provides substantial context about capabilities, constraints, and usage patterns. However, the lack of output schema means the description should ideally explain what kind of results to expect, which it only partially addresses through returnMode discussion.

  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 references parameters like workFolder, parentTaskId, and returnMode in context, but doesn't add significant semantic value beyond what's already in the schema descriptions. The baseline of 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 this is a 'versatile multi-modal assistant for code, file, Git, and terminal operations via Claude CLI' with specific examples of each capability. It distinguishes itself from sibling tools (convert_task_markdown, health) by being a comprehensive execution tool rather than a conversion or health check utility.

  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 provides extensive guidance on when and how to use the tool, including explicit 'Prompt tips' with 9 specific recommendations, examples for different operation types, and guidance on task orchestration. It clearly distinguishes between analysis-only requests and execution requests in tip #4.

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