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

The description goes well beyond the annotations by explaining exactly what happens: up to 4 agents receive the request, sell_identity expands sharing to marketing partners, nothing leaves without consent, deliveries/refusals are receipted, and POST /forget revokes. It also clarifies the consent-granting modes. No contradiction with annotations 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 dense but front-loaded with the core purpose, then layers prerequisite and behavioral detail. It is slightly run-on and uses jargon like 'quote firm and bind' and 'elicitation,' but each sentence adds meaningful guidance, so the length is justified.

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 complex tool with 9 parameters, nested consent objects, and no output schema, the description covers purpose, prerequisites, consent mechanics, scope effects, and revocation. It does not explicitly describe the response shape or return values beyond saying deliveries are receipted, which is a notable gap given the missing output schema.

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?

With schema description coverage at only 44%, the description compensates well for the most important parameters: quote_id, full_name, phone_number, and the nested consent object, including scope semantics. However, optional parameters such as best_time, preferred_channel, email_address, and verify_token receive no meaning beyond the schema.

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 action — connecting the consumer with licensed insurance agents — and the resource it acts on. It clearly differentiates the tool by tying it to a prerequisite (quote_id from get_quotes) and by explaining scope-driven behavior, which distinguishes it from siblings like get_quotes or register_agency.

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 provides clear prerequisites and context: quote_id, consumer name/phone, explicit consent, and scope. It does not explicitly name when NOT to use the tool or point to alternatives, but the dependency on get_quotes and the consent condition make the intended usage fairly unambiguous.

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