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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and closed-world behavior, so the safety profile is covered. The description adds the useful detail that legacy tests are supported and that omission falls back to defaults, but says nothing about volume, pagination, or result shape beyond what the output schema provides.

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?

Two tightly written sentences with the core purpose front-loaded and no filler. Every clause carries information, though the final 'Legacy tests also supported' fragment is slightly abrupt.

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 an output schema present and rich annotations, the description only needs to add purpose and sourcing context, which it largely does by naming the ID source and legacy support. The unresolved overlap with get_insight/list_insights keeps it from being fully complete.

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 only 33%, with runId and testId having no schema descriptions, so the description is expected to compensate. It partially does by explaining that IDs come from list_test_blocks and target a block/run, but it never clarifies the required testId or the 24-hex ObjectId format, leaving gaps.

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?

States a specific verb and resource ('Read positive findings supported by participant evidence'), which is more precise than a tautology of the name. It does not, however, differentiate itself from close siblings like get_insight or list_insights, so an agent still has to infer the boundary.

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 gives partial routing guidance by pointing to list_test_blocks as the source of IDs and noting that omission uses documented defaults. It offers no explicit when-to-use-vs-alternative guidance against the many get_* sibling tools, leaving selection largely implied.

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