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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds useful context that scoring is deterministic and based on the structured tasting data, but it does not disclose other behaviors such as pagination, result format, or how the bottle_id is resolved (UUID vs name) beyond what the schema already provides. With annotations doing the heavy lifting, a 3 is appropriate.

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 crisp sentences with zero waste. The core purpose and ranking criteria are front-loaded in the first sentence, and the deterministic scoring detail is added without bloat.

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 simple read-only retrieval tool with 2 well-documented parameters and no output schema, the description covers the essential behavior: what it returns, how results are ranked, and that scoring is deterministic. It could mention that it returns a list in the described order, but that is strongly implied by 'ranked.' No critical information for calling the tool 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 description coverage is 100%: both bottle_id (Bottle UUID or name) and limit (Max results default 5) are described in the schema. The description adds no parameter-specific meaning beyond what the schema already provides, so the 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?

The description clearly states the tool's purpose: it returns bottles with a similar flavor profile to a given bottle, rank-ordered by shared flavor notes and body/sweetness/char proximity. This is a specific verb+resource and is easily distinguished from siblings like compare_bottles (compares two specific bottles) or find_cheaper_alternative (focuses on price), so an agent can select it correctly.

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?

The description implies usage (you have a bottle and want similar ones) and gives context about the scoring being deterministic over structured tasting data, but it does not explicitly state when to use this tool versus alternatives or list any exclusions. There is no 'use X instead' guidance, so the agent must infer appropriate usage from the name and description alone.

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