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

Annotations already declare this a safe, idempotent, non-destructive read (readOnlyHint=true, openWorldHint=true), so the safety bar is met. The description adds genuinely new behavioral context: the 5–25 output cardinality, the inclusion of rationale per pick, and the Pro-tier requirement that can block the call. It does not discuss latency, rate limits, or whether results are cached, keeping it out of 5 territory.

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 short sentences plus a routing line; the core capability and the output shape come first, examples and sibling routing follow. Every clause earns its place — no filler, no restatement of the tool name.

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 tool with no output schema, the description adequately covers what the agent gets back (5–25 picks with rationale) and the access constraint. Combined with a very thorough schema-level 'context' instruction, an agent has enough to call correctly; only the response_format behavior and any freshness/grounding caveats are unaddressed.

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 50%: 'prompt' and 'context' are documented in-schema (context quite exhaustively), while 'size' and 'response_format' have no schema descriptions. The description partially compensates by stating 'Returns 5–25 grounded picks', which signals the size bounds, but the markdown/json 'response_format' enum is never explained anywhere. That leaves a real gap at the 3 baseline.

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 ('Generate a curated fragrance collection') and the input modality ('from a natural-language prompt'), reinforced with two concrete prompt examples. The trailing 'See also' line explicitly separates it from ai_recommend and fragrance_search, so an agent can distinguish the three 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?

Names two alternatives with their distinguishing conditions ('ai_recommend for personalized picks', 'fragrance_search for manual filtering'), which implicitly tells the agent when this prompt-driven collection tool is the right choice. It also surfaces a hard prerequisite ('Requires Pro') that gates invocation. There is no explicit 'do not use when' statement, so it stops short of a 5.

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