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

The description adds substantial behavioral context beyond the annotations: it discloses that up to 4 licensed agents receive the request under contact_consumer scope, that sell_identity also permits sharing with marketing partners, that nothing leaves without consent, and that every delivery and refusal is receipted with POST /forget available for revocation. This gives the agent a realistic model of the side effects and privacy boundaries.

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 every sentence earns its place: purpose, prerequisites, consent mechanics, scope behavior, privacy guarantee, and revocation. It is front-loaded with the core action and keeps the more nuanced consent details organized near the end without redundancy.

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 9-parameter tool with nested objects and no output schema, the description covers the essential behavioral contract well: what is sent, to whom, under what consent, and how to revoke. It could be more complete by describing the response shape or the elicitation flow's return value beyond mentioning the consent URL, but the core invocation context is sufficiently specified.

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 only 44% schema description coverage, the description compensates for the most important parameters: quote_id, full_name, phone_number, and the consent object with its scope semantics. It explains how consent is granted, what the two scopes mean, and how revocation works. However, optional parameters like best_time, email_address, preferred_channel, and full_name are not elaborated in the description.

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 opens with a specific verb and resource: connecting the consumer with licensed insurance agents who can quote firm and bind. It clearly distinguishes this tool from siblings like get_quotes, register_agency, and check_eligibility by focusing on the contact request action. The consent requirement is also stated up front, making the tool's role unambiguous.

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 explicitly names get_quotes as the source of the required quote_id and insists on explicit consumer consent, which is the key precondition for using the tool. It does not explicitly list excluded scenarios or compare against alternative contact methods, but the prerequisites and scope conditions are clear enough to guide appropriate invocation.

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