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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds real value beyond that by disclosing what is returned: the actual baseline, live, and diff images as directly viewable images. It does not mention failure modes for a stale/invalid review_id, which keeps it from a 5.

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 tight sentences with no filler; the purpose and the returned image content are front-loaded, and the workflow instruction follows. Every clause earns its place.

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 one-parameter read tool with no output schema, the description carries the return-value burden well by specifying the baseline/live/diff images are directly viewable, and it links this step to resolve_visual_review. Nothing an agent needs in order to call it correctly is missing.

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?

With schema description coverage at 100% for the single review_id parameter, the schema already documents the argument fully. The description only echoes that the id comes 'from list_visual_reviews', so it adds little beyond the structured field. Baseline 3 is appropriate.

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 ('Get full detail for one AI Visual Review candidate') and immediately disambiguates it from siblings by naming the source tool (list_visual_reviews) and the follow-up tool (resolve_visual_review). An agent can distinguish this single-candidate fetch from list_visual_reviews and visual_compare without opening any schema.

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?

Explicitly states when to use it ('to inspect a candidate and form your own verdict') and what to do next ('then call resolve_visual_review with your decision'), and it names where the required id comes from. The workflow position is unambiguous.

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