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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it does so excellently. It reveals that submission is two-step, requires consent, produces a confirmation token, and that the person receives an email with a clickable link before providers see anything. It even includes the exact consent wording, which is critical for correct invocation.

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. It front-loads the most important distinction ('NOT a purchase, NOT a guaranteed quote') and then walks through the two steps in order. Despite covering a complex flow, it avoids redundancy and remains well-structured.

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?

Given the tool's complexity and the absence of an output schema, the description is remarkably complete. It explains the preconditions, the step-by-step flow, the confirmation token, the consent requirement, and the post-submission email behavior. The only minor omission is explicit error handling, but that is not necessary for an agent to invoke the tool 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 coverage is 100%, so the baseline is 3, but the description adds meaningful semantics beyond the schema. It explains when the confirmation token is needed, that answers are keyed by field keys from enquiry_fields, and the exact meaning of consent. This gives an agent practical knowledge not fully captured in the parameter descriptions alone.

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 verb and resource: 'Submits an enquiry to Cyber Insurance Cost.' It also explicitly distinguishes this from a purchase or guaranteed quote, and the title reinforces the two-step nature. This makes the tool's purpose unambiguous and easily separable from the sibling tools.

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 a clear two-step usage workflow: first call with answers and consent, show the summary and consent line, then call again with the confirmation token if the person agrees. It also references enquiry_fields for the answer keys, giving helpful cross-tool context. It does not explicitly say 'do not use this tool for X,' but the usage conditions are clearly defined.

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