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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds meaningful context beyond that: an access-tier requirement ('Requires Pro') and the fact that the output is AI-generated inference derived from the user's cabinet, reviews, and likes rather than raw data. It does not mention caching, rate limits, or failure behavior if the Pro check fails.

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 tight sentences plus a one-line routing note, with the purpose and the source data front-loaded before the sibling references. No filler or repetition of structured fields.

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 read-only, idempotent summary tool with no output schema, the description conveys what the result is (a natural-language profile) and its data sources, which is what an agent needs to decide and call. It omits error/entitlement behavior when the Pro requirement is unmet, which would matter for invocation planning.

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 only 50% (context is heavily documented; response_format has an enum and default but no description). The description says nothing about either parameter — not the mandatory third-person 15-25 word context requirement, nor the markdown/json choice — so it fails to compensate for the coverage gap.

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 ('Get your AI-generated taste profile summary') and immediately defines the artifact as a natural-language description of fragrance preferences derived from cabinet, reviews, and likes. It also names two siblings and their distinct purposes, so an agent can tell it apart from user_taste_public and user_taste_compare 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?

Provides a real prerequisite ('Requires Pro') and routes the agent to the right sibling via the 'See also' line, contrasting this natural-language profile against user_taste_public's deterministic breakdown and user_taste_compare's compatibility view. It stops short of an explicit when-not/exclusion rule, but the alternative routing is clear.

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