trace-mcp

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

No annotations are provided, so the description carries full burden. It mentions the tool analyzes 'at past commits' which implies read-only historical data, but doesn't disclose important behavioral aspects like whether it requires git access, what format the output takes, whether it's computationally expensive, or if there are rate limits. The description is minimal and leaves key operational details unspecified.

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 - a single sentence that efficiently conveys the core functionality. Every word earns its place, with no wasted text. However, it could benefit from slightly more structure or front-loading of key information given the tool's analytical nature.

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?

For a complexity analysis tool with no annotations and no output schema, the description is insufficient. It doesn't explain what the output looks like (trend data, charts, metrics), doesn't mention computational requirements or limitations, and provides no context about how the analysis is performed or what the results mean. Given the analytical nature and lack of structured metadata, more completeness is needed.

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 thoroughly. The description adds minimal value beyond the schema - it mentions 'past commits' which relates to the time-based parameters, but doesn't provide additional context about parameter interactions or usage patterns. This meets the baseline for high schema coverage.

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: analyzing a single symbol's complexity metrics (cyclomatic, nesting, params, lines) over git history. It specifies the verb 'analyze' and resource 'single symbol complexity', but doesn't explicitly distinguish it from sibling tools like 'get_complexity_trend' or 'get_complexity_report' which might have different scopes.

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 including 'get_complexity_trend' and 'get_complexity_report', there's no indication of how this single-symbol historical analysis differs from broader complexity tools. No prerequisites or exclusions are mentioned.

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