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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description only needs to add context. It adds value by specifying the return structure (description and count per category) and enumerating example categories, which goes beyond the annotations. No contradiction exists.

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 a single, information-dense sentence that front-loads the main action and then provides specific examples and output details. Every word contributes to understanding the tool's purpose and return value, with no redundant language.

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 the tool's simplicity (one optional parameter, read-only operation, output schema exists), the description fully covers what the tool does and what it returns. It states the scope (all categories), provides concrete examples, and mentions the included fields, making it self-sufficient for an agent to invoke correctly.

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 input schema has only one optional parameter (client_ip) with a complete description ('Client IP address for rate limiting'), giving 100% schema coverage. The tool description does not add any extra meaning for this parameter, so the baseline score of 3 applies.

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 clearly states the tool lists all medication categories with specific examples (Weight Loss, Peptide Therapy, Anti-Aging & Longevity) and mentions the included fields (description, count). This distinguishes it from sibling tools like medications_list and medications_details, which focus on medications themselves rather than categories.

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?

The description implies when to use this tool (when category-level information is needed) but does not explicitly mention alternatives or when not to use it. It provides clear context but lacks explicit exclusionary guidance, so it falls short of a 5.

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