Server Quality Checklist

Tool Scores

• log_timeA
  3.9/5.0
  Behavior4/5

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

  Annotations already indicate this is a non-readOnly, non-destructive operation. The description adds valuable behavioral context by explaining how Claude should parse natural language inputs and extract parameters, which goes beyond what annotations provide. It doesn't mention rate limits or authentication needs, but adds practical usage context.

  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 appropriately sized and front-loaded with the core purpose statement. The natural language examples and extraction guidelines are useful but could be more concise. Each section adds value, though the parameter extraction list somewhat duplicates information already in the schema.

  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 tool with no output schema but excellent schema coverage (100%) and comprehensive annotations, the description provides good contextual completeness. It explains the tool's purpose, shows practical usage examples, and clarifies parameter extraction from natural language. The main gap is the lack of information about what happens after logging (confirmation, error cases, etc.).

  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?

  With 100% schema description coverage, the input schema already documents all parameters thoroughly. The description adds some semantic context by showing natural language mappings to parameters (e.g., '2h on security review' → task, duration) and explaining defaults, but doesn't significantly enhance the schema's parameter documentation.

  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 tool's purpose with a specific verb ('log') and resource ('completed time entry'), explaining it records work done. It distinguishes this from potential alternatives by specifying it's for logging completed time entries, though no sibling tools exist for comparison.

  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 provides implied usage through natural language examples showing when to use this tool (e.g., '2h on security review'), but lacks explicit guidance on when not to use it or alternatives. Since there are no sibling tools, the absence of comparative guidance is less critical.

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