record_test_outcome

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

No annotations are present, so the description must carry the full behavioral burden. It only states 'link failures to recent code changes' but does not explain how the linking works, whether the operation is idempotent, or what side effects occur (e.g., overwrites existing records).

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 sentence, which is concise, but it lacks necessary detail. It is not well-structured; it front-loads the action but omits critical contextual information, making it under-specified.

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 tool has two required parameters (one nested), no output schema, and no annotations, the description is far from complete. It does not describe return values, error handling, or the expected outcome, leaving significant gaps for an AI agent.

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 0%, yet the description adds no explanation of parameters. It does not clarify 'session_id' format or the structure of 'test_results' (e.g., required fields, expected values for 'error'). The description fails to compensate for the schema's lack of detail.

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: recording test results and linking failures to recent code changes. It uses a specific verb 'Record' and resource 'test results with failure linkage', distinguishing it from sibling tools like 'predict_test_failures'.

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 (e.g., 'predict_test_failures' or other logging tools). It lacks context for prerequisites, success criteria, or exclusions.

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