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

Adds a lot beyond the annotations: it discloses that cited excerpts and response text leave to a configured external provider, that it persists revision-bound scores but never approvals, that a partial page or high confidence does not clear deterministic blockers, and how idempotency keys must be reused. These are exactly the write/side-effect, open-world, and idempotency facts the hints only assert, and nothing contradicts them.

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?

Front-loads the core action, then layers prerequisites, side effects, pagination, and error handling. Dense but nearly every sentence carries operational value; it is longer than ideal but not padded.

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 5-parameter, nested-object mutation tool with no output schema, the description covers side effects, prerequisites, pagination, idempotency, and failure handling well. The main gap is return-value and revision-parameter detail, which the agent would still have to infer.

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 only 40% schema description coverage the description must compensate, and it does for offset/limit (start at 0, follow nextOffset, shrink limit on input-limit errors) and idempotencyKey usage. However the required `revision` object (outputJobId, payloadHash) is never explained beyond the phrase 'revision-bound', leaving a required parameter's meaning largely to inference.

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: an advisory (Jev) review of the current draft's sentences and requirement coverage, executed against an external provider. An agent knows exactly what it does, though it never names a sibling tool such as read_draft_review or check_draft to differentiate clearly.

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 explicit preconditions (server activation plus explicit workspace opt-in to the processing disclosure) and a pagination recipe (start offset 0, follow nextOffset, new idempotency key per page). It does not name an alternative review tool or state when to skip this in favour of a sibling, so it stops short of full routing guidance.

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