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

Annotations only declare the generic safety profile (not read-only, not idempotent, not destructive, closed-world). The description goes beyond them by disclosing per-value side effects: not_interested suppresses future recommendations, saved triggers change alerts, and the like/dislike values reweight genre preferences. It does not cover permissions or reversibility of these effects, so not a 5.

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: the first defines the action and its value semantics, the second states the invocation guardrail. The most important content (what each feedback value does) is front-loaded and the constraint is not buried.

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 tool with no output schema, the description covers purpose, per-value effects, and the invocation rule. It omits what the call returns or whether feedback can be overwritten, which are minor gaps given the annotations already flag the mutation profile.

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 0%, so the description must carry the meaning of the parameters. It does this well for the six-value feedback enum, explaining the semantic effect of each option, which is exactly the information the bare enum list lacks. event_id is left undocumented, though its intent is self-evident from context.

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 ('Record the user's reaction to an event') and then defines each of the six feedback values with their real-world meaning (never recommend again, alerts on changes, genre weighting). An agent can distinguish this from siblings like track_event_interests or manage_event_watchlist without opening any 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?

Gives an explicit gating condition: 'Only call when the user says so; never infer it.' That is a clear when-to-use and when-not-to-use rule, stronger than most definitions. It stops short of naming an alternative sibling for overlapping intent, so it is not a full 5.

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