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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the description's job is to add payload context, which it does well by naming the returned fields, the JSON run file and the re-run script. It does not say what happens for an unknown slug (error vs empty result), which is the remaining behavioral gap.

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 dense sentence plus one actionable directive, front-loaded with the core identity of the resource and followed by the return payload and the prerequisite. The enumerated clause list is long but each item carries distinct information; nothing is filler.

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 must describe the return value and it does so comprehensively, naming the headline result, cost, baseline, candidate statuses and artifacts. Only error/not-found behavior is unaddressed, which is minor for a single-parameter read tool.

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% and the schema already specifies that slug comes from list_verdicts with the example 'sms-spam'. The description repeats the same provenance hint without adding format, slug-shape or validation detail beyond the schema, 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?

States a specific verb+resource ('The full verdict for one task') and then enumerates exactly what that verdict contains: cheapest passing model, pass rate, USD cost per successful task, baseline model, per-candidate status, and links to the verdict page, run JSON and re-run script. This is clearly a single-record fetch, distinct from the sibling list_verdicts.

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 closing line 'Get the slug from list_verdicts' establishes the prerequisite dependency and implicitly routes the agent to the sibling when it lacks a slug. It does not state the inverse condition (use list_verdicts when you want to browse rather than retrieve one), so it stops short of full when/when-not guidance.

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