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

Annotations cover the safety profile (readOnlyHint=true, openWorldHint=false), so the description is free to disclose the interesting behavior: a 10-result cap, and the non-obvious fact that a signed-in user's non-wine drinks are hidden from the shared registry but surfaced first with only_in_your_cellar: true. It does not explain ranking/relevance order beyond that, so not a full 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?

Front-loaded with purpose and result cap, then triggers, then the disambiguation from search_bottles. The final sentence about hidden non-wine drinks is grammatically tangled and somewhat tangential, costing it a perfect score.

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?

With no output schema, the description usefully states the return shape superficially (up to 10 matches) and explains the anomalous only_in_your_cellar result field an agent might otherwise misread. Ranking, empty-result behavior and any pagination beyond the cap remain unstated.

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%, so the parameter is fully documented in structured data. The description names the same fields (name, producer, region or grape) with only 'region' adding slight nuance over the schema's 'appellation'. Baseline 3 for a single well-documented parameter.

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?

Names a specific verb (searches) and resource (Cellarion's shared wine database), scopes it as vintage-neutral community data, and states the matchable fields. It also explicitly separates itself from search_bottles (owned bottles), so an agent can route correctly without opening other schemas.

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 three concrete trigger conditions — identify a wine the user mentions, before recommending, check whether a wine exists — and one explicit when-not with the alternative named (use search_bottles for what the user owns). This is about as prescriptive as a search tool gets.

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