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

Annotations already indicate a safe, read-only, idempotent operation. The description adds useful behavioral context by specifying the response format (Markdown table) and the optional slug-filtering behavior. It does not describe edge cases such as unknown slugs or empty results, but the annotations lower the burden for this read-only tool.

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, front-loaded sentence with no filler. The core deliverable and the optional modifier are stated immediately and efficiently. Every word contributes to understanding.

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 read-only tool with one required enum parameter and one optional array parameter, the description provides enough to invoke it correctly. There is no output schema, but the return format is stated as Markdown. Some detail about table columns or ordering is missing, but that is not essential for selecting or calling the tool.

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 coverage is 50%, and the description partially compensates by clarifying that category is the required grouping and slugs are an optional limiter. It adds some meaning beyond the schema but does not detail slug format or what comparison dimensions are included. The enum values are already available in the schema, so no repetition there is needed.

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 produces a side-by-side comparison table for a category, optionally filtered by provider slugs. It is not a tautology and it is distinct from sibling tools like list_providers or get_provider, though it does not name them explicitly. A slightly stronger verb phrase (e.g., 'Compares providers by...') would make it even clearer.

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 the tool: when a comparison table for a category is needed, and optionally for specific providers. It does not explicitly contrast with list_providers, search, or get_provider, nor does it state when not to use it. Guidance is present but left mostly to inference.

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