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

Annotations already declare non-read-only, non-destructive, idempotent, but the description adds the consequence of the action: rejected entries persist in history with state 'rejected' and never count toward results. It also discloses the auth requirement (AUTARIO_API_KEY) and the overlay invariant that source rows are never overwritten, though the overlay paragraph is broader than this tool.

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?

The core action and usage are front-loaded in the first two sentences, which is good. However, the overlay-rule passage is tangential boilerplate for a rejection tool and pads the definition, and there is a missing space after 'reject.' that suggests an unpolished block.

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 two-parameter mutation with no output schema, the description covers what happens to rejected items, where they go, and the auth prerequisite. The only gap is that it doesn't state the response shape or behavior on invalid/already-resolved ids.

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% with both parameters documented ('Proposal ids', 'The UUID of the dataset'), so the schema carries the load. The description adds no format detail beyond what the schema states, so 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 (reject), resource (open proposals), and scope (by id, in bulk). It is immediately distinguishable from siblings like accept_proposals and list_proposals, which the description implicitly frames by referencing the resulting 'rejected' state.

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 triggering conditions: withdrawing your own proposals, or when the user specifies which to reject. It does not explicitly name accept_proposals as the alternative path, but the rejection framing makes the counterpart obvious.

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