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

Beyond the annotations, the description discloses meaningful behavioral details: up to 4 licensed agents receive the request and contact details under contact_consumer, marketing partners can be included under sell_identity, nothing leaves without consent, deliveries and refusals are receipted, and POST /forget revokes. This gives the agent a strong model of side effects and data flow.

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 mostly earns its length, front-loading the main purpose before consent mechanics, scope, and revocation behavior. A few clauses are slightly convoluted, but every sentence contributes useful operational detail.

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?

The description covers the core purpose, prerequisites, consent handling, scope variations, data recipients, receipts, and revocation. It does not specify the return value or output shape despite there being no output schema, but the consent flow and side effects are sufficiently described for an agent to invoke it correctly.

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 description coverage is only 44%, so the description needs to compensate. It thoroughly explains the central consent object, scope, and the origin of quote_id, but it does not add meaning for optional parameters like best_time, preferred_channel, email_address, or the consent text/version fields, leaving a meaningful 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, specific action: connect the consumer with licensed insurance agents who can quote and bind. It also distinguishes itself from siblings by requiring a quote_id from get_quotes and by emphasizing the consent requirement, which makes the tool's unique role obvious.

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 clearly identifies prerequisites: a quote_id from get_quotes, the consumer's name and phone, and explicit consent. It explains the consent pathways and scope-based behavior, giving an agent enough context to know when this tool is appropriate, though it does not explicitly enumerate when-not-to-use alternatives.

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