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

Although annotations already flag this as destructive, open-world, and non-idempotent, the description adds meaningful behavioral context beyond them: a mandatory user-consent gate, the fact that un-consented reactions stay in the conversation, and the prohibition on inventing complaints or sending feedback the user never gave. This is substantial disclosure that the structured fields cannot carry.

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 consent requirement is front-loaded and the prose is largely action-oriented, but there is mild redundancy ('ASK THEM FIRST, every time' reinforced later by 'send only if they say yes'), and one sentence could be trimmed without loss.

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 consent-gated fire-and-forget feedback tool with no output schema, the description covers the full calling contract: preconditions, the consent field value, exact quoting, and the no-fabrication rule. Nothing an agent needs to call it correctly is missing.

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 the baseline is 3, but the description adds real semantic guidance beyond the schema: set consented only after asking, quote the user EXACTLY in in_their_words, and pass the concerning tool plus track_id or brief. It clarifies intent for several parameters rather than restating their definitions.

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?

The description states a specific verb+resource ('Send AINSOF what the user thought of an answer') with concrete examples of the feedback content, and it is clearly distinguishable from siblings like search_music or score_my_video, which it references. An agent knows exactly what this tool does without opening the schema.

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?

It gives explicit when-to-use and when-NOT-to-use guidance: ask the user first every time, send only if they consent, and if they decline or don't answer, do not call the tool at all. The consent protocol sets consented to true is spelled out, leaving nothing to inference.

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