coverage_analyze_gaps

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 says only 'Analyze... identify,' which implies a read-only operation, but does not state what the tool returns, how it processes the three input formats mentioned in the schema (lcov, istanbul JSON, summary text), whether source_code is needed for meaningful results, or how api_key is used.

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?

A single front-loaded sentence with no filler words. It states the verb and object immediately. It is slightly under-specified given the absence of annotations, but as a concise purpose statement it is well-formed and efficient.

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?

The tool has 3 parameters, no annotations, and no output schema, so the description must compensate — it does not. It fails to describe the return value, the relationship between source_code and coverage_data, or when this analysis step fits into a broader coverage workflow. The essential purpose is conveyed, but an agent would be guessing at the rest.

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?

Schema description coverage is 100%, so the schema already documents all three parameters adequately. The description's mention of 'code coverage data' loosely maps to the coverage_data parameter but adds no meaning beyond what the schema provides, so the baseline of 3 applies.

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 uses a specific verb ('Analyze') with a clear resource ('code coverage data') and a tangible outcome ('identify untested code paths and coverage gaps'). This distinguishes it reasonably from nearby siblings like coverage_suggest_tests and coverage_report, though it does not explicitly name them.

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?

No guidance is given on when to use this tool versus alternatives such as coverage_suggest_tests, coverage_report, or log_analyze. There is no mention of prerequisites (e.g., having generated a coverage report first) or scenarios where this tool would or would not be appropriate.

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