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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is fully covered. The description usefully adds what the response contains (per-test scores, judge reasoning, transcripts), which goes beyond annotations, but says nothing about behavior for a missing or still-running run_id, nor about result size or pagination.

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?

One tight sentence that front-loads the action and then enumerates the returned content. Nothing redundant; only minor gain could come from a sentence on prerequisites.

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 no output schema, the description carries the burden of explaining return values, and it does list the main components of the result. It is close to complete for a simple read tool, with the only gap being the absence of guidance on run status or missing-run handling.

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 both run_id and the required context parameter are fully documented in the schema. The description adds no parameter-level meaning (e.g., where run_id comes from), so the baseline 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 and resource ('Get detailed results for an agent evaluation run') and names the payload (per-test scores, judge reasoning, transcripts). This clearly distinguishes it from the sibling run_agent_eval, which triggers a run, though the relationship is never stated explicitly.

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 only implied: because it fetches results for an existing run, an agent can infer it should be called after run_agent_eval with a valid run_id. There is no explicit when-to-use guidance, no mention of preconditions (run must exist/complete), and no named alternative for related reads.

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