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

No annotations are provided, so the description carries the full burden and does so: it discloses the validation/summary return of step 1, the confirmation-token gate, the double-opt-in email link required before any provider sees the data, the maximum of three advisers, and the full consent text. Downstream effects (contact details shared, direct contact by firms) are spelled out.

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 critical negative constraints ('NOT a purchase') and step ordering are front-loaded, and each sentence carries operational weight. It is long, but the length is driven by genuinely required consent and double-opt-in detail rather than filler.

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 mutation tool with no annotations and no output schema, the description compensates fully: it describes what step 1 returns (summary, consent line, confirmation token) and what step 2 produces (submission plus an email verification link). Nothing an agent needs to call it correctly is missing.

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; the description adds real meaning by tying 'answers' to field keys from enquiry_fields, fixing 'consent=true' as the required value, and explaining that 'confirmation' is the token returned by step 1 and only used after human approval. The only gap is it doesn't restate the accepted value types for answers.

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?

States a specific verb (submits an enquiry) and resource (Data Room Picker / human providers), and immediately distinguishes scope from siblings with 'NOT a purchase, NOT a guaranteed quote'. The two-step structure is named up front so an agent knows exactly what operation it is invoking.

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?

Explicitly sequences the two calls, gives the condition for each ('Step 1: call with the answers...; Step 2: only if the person agrees...'), and specifies what must be shown to the person between steps. An agent needs no inference to know when to make each call.

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