trace-mcp

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 the tool's function but lacks details on behavioral traits such as whether it's read-only, performance characteristics, error handling, or output format. For a tool with no annotations, this is a significant gap in transparency.

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

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

The description is extremely concise and front-loaded, consisting of a single, clear sentence: 'Find exported public symbols with no matching test file — test coverage gaps'. Every word earns its place, with no redundant information, making it efficient and easy to parse.

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

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

Given the complexity of analyzing test coverage gaps and the lack of annotations and output schema, the description is incomplete. It doesn't explain what the tool returns, how results are structured, or any prerequisites (e.g., needing test files indexed). For a tool with no structured output documentation, this leaves critical gaps in understanding its behavior.

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

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

The input schema has 100% description coverage for its single parameter ('file_pattern'), so the schema already documents it fully. The description adds no additional parameter semantics beyond what the schema provides, such as examples of typical usage or constraints. This meets the baseline of 3 since the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Find exported public symbols with no matching test file — test coverage gaps'. It uses specific verbs ('find') and identifies the resource ('exported public symbols'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'get_untested_symbols' or 'get_coverage_report', which likely serve related but distinct purposes.

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

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

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools related to testing, coverage, and symbols (e.g., 'get_untested_symbols', 'get_coverage_report', 'get_tests_for'), the absence of explicit when-to-use or when-not-to-use instructions leaves the agent to infer context, which is insufficient for optimal tool selection.

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