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

The annotations only say this is a mutating, non-idempotent side-effecting action; the description adds substantial color: up to 4 licensed agents receive the request under contact_consumer, sell_identity widens sharing to marketing partners, nothing leaves without consent, deliveries/refusals are receipted, and POST /forget revokes. This goes well beyond the structured fields.

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 text is dense but not bloated: it front-loads the core action, then prerequisites, scope effects, and revocation. Some clauses are packed with semicolons and em dashes, which makes parsing slightly harder, but every sentence earns its place.

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 consent flow and scope semantics well but omits return/shape information beyond 'receipted' and says nothing about verify_token's effect on price/contact priority. This leaves an agent short on how to fully leverage the request.

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 only 44%, and the description partially compensates by explaining the roles of quote_id, full_name, phone_number, and consent (including the consent URL and scope field). But it still leaves best_time, preferred_channel, email_address, and verify_token unaddressed in prose, so it doesn't fully fill the low-coverage gap.

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 clear verb and resource: connect the consumer with licensed insurance agents who can quote firm and bind. It distinguishes itself from siblings by referencing the upstream get_quotes and the consent mechanism, so an agent knows this is the contact-brokering step, not quoting or eligibility.

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?

It gives explicit prerequisites: a quote_id from get_quotes, the consumer's name and phone, and explicit consent. It also explains how consent can be obtained. However, it does not name alternatives or state when not to use the tool, so it stops short of full when/when-not guidance.

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