Server Quality Checklist

Tool Scores

• tauri_debug_commandA
  5/5.0
  Behavior5/5

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

  With no annotations, the description carries full weight and excels: it marks commands as 'Commander only,' discloses array truncation behavior for 'concise' responses, specifies required vs optional params per command, and ends with the exact return shape {success,data,error}. It even notes 'kill_app' supports force and timeout.

  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 long, but due to 29 subcommands it is appropriately sized. It is well-structured with headers (QUICK REFERENCE, RESPONSE FORMAT, command categories, EXAMPLES) that front-load critical info and allow quick navigation. Every section serves a purpose and examples clarify usage.

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

  Completeness5/5

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

  The description covers app support, command categories, parameter details, output verbosity, filtering best practices, and the final response envelope. Since there is no output schema, stating 'Returns { success: boolean, data?: unknown, error?: string }' is essential and done well. It also includes a practical EXAMPLES section.

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

  Parameters5/5

  Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

  Although the schema fully documents top-level parameters, the generic 'params' object is opaque. The description compensates by detailing the required and optional parameters for every command (e.g., task_id, status, uid, value, key, direction) and providing real examples. This goes far beyond the schema's generic 'varies by command'.

  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 opens with 'Debug and inspect Tauri applications via WebSocket,' providing a specific verb and resource. It then enumerates 29 subcommands organized by category, making the tool's scope unmistakable despite no sibling tools.

  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?

  It explains multi-app support with the 'app' parameter and default 'commander,' provides example invocations, and includes a 'FILTERING TASKS (avoid loading all tasks)' section with concrete parameter usage. It also documents the 'response_format' option and when to use 'concise' vs 'detailed'.

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