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

No annotations are provided, so the description carries the full disclosure burden. It thoroughly discloses the two-step nature, validation, returned artifacts, consent wording, email delivery, and the post-email click requirement before any provider sees the enquiry. This is exemplary behavioral transparency for a conversational submission tool.

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 a single well-organized paragraph with a clear front-loaded disclaimer and numbered steps. It is fairly long, but every sentence carries necessary operational detail; the step structure makes the length justified rather than bloated.

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 tool with no output schema but a nontrivial two-step workflow, the description covers almost everything an agent needs: inputs, consent semantics, step sequencing, conditional second call, returned artifacts, and the email/click side effect. It is complete enough for correct invocation without guessing.

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?

The schema already describes all three parameters, so the baseline is 3; the description adds extra meaning by explaining that answers must use field keys from enquiry_fields, defining consent in terms of the exact agreement text, and clarifying that the confirmation token comes from step 1 and is required in step 2. This goes beyond the bare schema descriptions.

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 clearly states the tool's exact function: 'Submits an enquiry to Current Annuity Rates' and immediately distinguishes it from related but different actions ('NOT a purchase, NOT a guaranteed quote'). It also communicates the two-step submission process in the title and body, making the tool's purpose unmistakable.

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 explicit step-by-step usage: Step 1 requires answers and consent=true, returns a summary/consent/token; Step 2 is only if the person agrees, reusing the same answers plus the token. It also gives an explicit exclusion ('NOT a purchase, NOT a guaranteed quote') and references enquiry_fields for field keys, which orients the agent toward the correct workflow.

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