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

With no annotations provided, the description carries the full burden. It discloses that the tool covers production steps, sourcing, and certifications, but does not mention return structure, side effects, or required permissions. Adequate but could be more informative.

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?

A single sentence conveys the entire scope of the tool without waste. Information is densely packed and front-loaded, making it efficient for an agent to parse.

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 information-retrieval tool with no parameters and no output schema, the description adequately covers what the tool provides. It lists the key content areas, though it could benefit from mentioning the form of output (e.g., text, structured data).

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?

The tool has no parameters and 100% schema description coverage, so the baseline is 4. The description does not need to add parameter semantics, and it correctly omits param-related info.

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 explicitly lists the six-step production process, ingredient sourcing, and certifications, clearly indicating the resource and scope. It effectively distinguishes from siblings like get_beer or get_brand by focusing on the brewing process.

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?

No guidance on when to use this tool versus alternatives such as get_beer or get_b2b_wholesale. The description provides no context for selection, leaving the agent to infer solely from the tool name.

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