Generate QA Summary

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

No annotations are provided, so the description must carry the full burden. It lists what the summary contains, but does not disclose side effects, whether it writes to disk, required permissions, or what happens if the report is missing. This is insufficient for a tool that produces an advisory recommendation.

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 a single, focused sentence that front-loads the primary action and enumerates the key output components. No wasted words or redundant details.

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?

With one well-documented parameter and no output schema, the description covers the high-level purpose and output contents. However, it lacks behavioral details like prerequisites, expected input format, or how the advisory recommendation is determined, which would be useful for complete context.

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 coverage is 100% since reportPath has a clear description. The tool description adds no extra parameter information beyond what the schema already provides, so it 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 generates a complete QA execution summary with specific components (metrics, failure analysis, quality risks, Markdown output, advisory release recommendation). It is distinct enough from siblings but does not explicitly differentiate itself, so it misses the top score.

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?

Usage is implied: the user provides a report path and expects a summary. However, there is no explicit guidance on when to use this tool versus alternatives like get_test_run_summary or analyze_test_failures, and no exclusions or prerequisites are mentioned.

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