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

Annotations already declare the operation as read-only, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds useful behavioral context: only available drinks are returned, ranking is by community rating where present and then by name, and the total match count is included.

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 two tight sentences, front-loading what is filtered and then what is returned. Every clause contributes useful information without repetition.

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?

Given seven optional parameters, no output schema, and annotations that already cover safety, the description is largely complete for invocation. It explains filtering, availability, ranking, and total matches, though it does not describe the shape of individual drink records.

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 86%, so parameter details are already well documented. The description enumerates the filter categories (caffeine, sugar, sweetener, flavor family, carbonation, extras) but adds little semantic detail beyond what the schema already provides.

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 states a specific verb and resource: it filters the drink catalog by named criteria and returns available, ranked results. It is clear what the tool does, though it does not distinguish itself from the sibling search_drinks tool.

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?

Usage is implied by the filtering criteria and the reference to the website's find page, but there is no explicit guidance on when to use this tool versus search_drinks, compare_drinks, or get_drink. No exclusions or alternative-routing instructions are provided.

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