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

Annotations already declare readOnlyHint=true, so safety is covered; the description then adds a genuinely useful non-obvious behavior: 'the server picks the variant', telling the agent the caller cannot select which rule set comes back. It also notes rulesRevision is returned, though it says nothing about error cases when no rules exist for a type/stage.

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 sentences, no filler, with the return payload front-loaded before the usage example. The second sentence is slightly dense but every clause carries information.

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?

There is no output schema, so the description correctly enumerates the return contents (procedure, rating scale, comment requirements, rulesRevision). Combined with 100% schema coverage and readOnlyHint, an agent has what it needs, though the missing-rule case is unaddressed.

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% with both parameters enum-documented, so the baseline is 3. The description only restates the two axes (task type, stage) already fully described in the schema and adds no format or edge-case semantics beyond it.

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 (Returns) and resource (work evaluation rules) plus the key discriminator (task type + stage) and names the returned contents. It is clear what the tool does, though it never explicitly contrasts itself with close siblings such as task_evaluate or task_evaluation_context.

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?

Gives concrete trigger conditions with user-phrase examples ('evaluate #12345', 'evaluate the review of #12345'), which is clear usage context. It stops short of naming alternatives or when NOT to use it, so it falls short of the 5 bar.

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