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

Annotations already cover the safety profile (readOnlyHint, openWorldHint, destructiveHint), and the description adds real behavioral context beyond them: it cannot place orders or take payments, cannot guarantee zero alcohol, and returns the producer's published lineup. It does not describe failure modes when a slug is not found, but its limitations are unusually well disclosed.

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?

The description is several hundred words and leads with scope exclusions rather than the tool's function; the actual purpose statement appears only mid-way. Multiple alcohol-wording rules are restated ('Preserve declared wording,' 'Preserve the source's exact alcohol wording'), and much of the policy reads like global system guidance rather than tool-specific instructions.

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 2-parameter read tool with no output schema, it thoroughly covers scope boundaries, refusal behavior, and alcohol-wording caveats, so the agent knows how to interpret results. But it never explains the 'condensed' parameter or slug format, leaving a genuine operational gap for invocation.

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 compensate. It implies 'slug' is a producer identifier by directing the agent to search_producers when the slug is unknown, but 'condensed' is never mentioned and no format, case, or effect of condensed is given. Half the parameters remain semantically undefined.

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 eventually states a specific verb and resource: 'Retrieve a specific producer documented by Beyond Wine,' and adds that the lineup appears under data.beverages. However, this core statement is buried after paragraphs of scope-exclusion policy, so the purpose is clear but not front-loaded or sharply differentiated from get_beverage.

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?

It explicitly routes the agent elsewhere ('Use search_producers first when the producer slug is unknown') and gives strong when-not-to-call guidance for excluded categories, ordering/payment requests, and catalogue-wide guarantees. It lacks explicit guidance on when to prefer get_producer over, say, get_beverage or search_beverages for lineup questions.

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