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

Annotations already declare readOnly, non-destructive, openWorld behavior, so the safety profile is covered. The description adds useful non-obvious behavior: the response embeds the published beverage lineup under data.beverages, which matters because there is no output schema. It does not cover not-found behavior or pagination.

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?

Three short sentences, zero filler, front-loaded with the action and resource. The concrete producer examples and the return-location detail both earn their space.

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 note about data.beverages fills a real gap, and annotations carry the safety profile. Missing details are the meaning of 'condensed' and behavior when the slug does not resolve, which are minor for a simple lookup.

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% for two parameters. The description only implicitly links 'slug' to producer identity and says nothing about slug format or what 'condensed' changes in the response, so it fails to compensate for the schema 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 and resource (retrieve a specific producer), gives concrete examples (MURI, AMA Brewery), and names the returned data location (data.beverages). It is clearly distinguishable from search_producers and the other get_* siblings.

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?

Explicitly routes the agent: 'Use search_producers first when the producer slug is unknown.' This covers the primary decision point between this tool and its sibling, though it does not discuss other exclusions or preconditions.

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