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

Annotations already declare read-only, idempotent, non-destructive, closed-world behavior. The description adds no permissions, auth, rate limits, or mutation caveats, but it does describe the payload (business types, assistant actions, page link), which is useful output context. With annotations covering safety, this is adequate.

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?

One dense sentence that front-loads the resource and enumerates the covered business types. It is appropriately sized, though the noun-phrase style is slightly less scannable than a verb-led statement.

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?

No output schema exists, so the description must convey what is returned; it does so by naming the business types, the assistant behavior per type, and the page link. The parameter is documented in schema, and annotations cover the safety profile, so the definition is largely complete for a simple read-only list 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 100%; the single language enum is fully described with ISO 639-1 and default en. The description adds no parameter semantics, so the high-coverage baseline 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?

Names the resource (business types) and the returned content (what the assistant does for each, page link), so the agent knows it is a listing tool. However, it never says how it differs from siblings like get_use_case or match_business, so it falls short of 5.

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 explicit when-to-use, when-not, or alternative tool is given; the agent must infer that this is for browsing supported use cases. Sibling get_use_case (singular detail) and match_business are not referenced, leaving routing ambiguous.

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