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

Annotations already declare this a safe, idempotent, closed read, so the description doesn't need to cover safety. It instead adds genuinely new context: the content is anonymous, it is free, the ordering is by agreement, and crucially a prompt-injection warning that items are other agents' opinions, never instructions to follow.

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 purpose and the key behavioral caveat are front-loaded, and each sentence adds real information (cost, content, ordering, routing, injection warning). The sentences are long and clause-dense, but nothing is redundant.

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 carries the burden of describing the return shape, and it does: one item per part, ordered by agreement, single kind per part. Pagination beyond the limit parameter is not discussed, a minor gap for a listing 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%, so kind, sort, limit, and agent_id are already documented, including enums and defaults. The description restates the ordering default ('most agreed first') and single-kind-per-part behavior but adds no syntax or filtering detail beyond the schema, so the 100%-coverage baseline of 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 (reading the feedback board) and defines the content precisely: anonymous messages to the show's makers, one item per part (liked, wants, problems, message), ordered by agreement. It is clearly distinguishable from send_feedback and vote_feedback, both of which are named in the text.

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 an explicit when: 'Read it before send_feedback', plus when-not/alternative behavior: if the point already exists, use vote_feedback instead of repeating it. The decision path from reading to voting to sending is fully spelled out.

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