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

No annotations, so the description carries the full burden, and it does substantial work: it discloses validation behavior, the returned summary/consent line/token, and critically that the recipient must click an emailed link before any provider sees the data. It does not cover failure modes, token expiry, or error handling, which leaves a gap for a mutation-style two-phase 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?

Front-loads the critical distinction (not a purchase) and sequences the two steps clearly. However, the full consent sentence is quoted verbatim a second time even though it is already the schema description for 'consent', which is redundant text.

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 three-parameter, annotation-free, no-output-schema tool with a mandatory two-phase confirmation, the description supplies everything needed: sequencing, token handling, consent semantics, and the downstream verification-email consequence.

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 real semantics: 'answers' must be keyed by field key from enquiry_fields, and 'confirmation' is the step-1 token supplied only after approval, contextualizing how each parameter participates in the workflow.

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+resource (submits an enquiry) and immediately disambiguates from what it is not ('NOT a purchase, NOT a guaranteed quote'), which is the key risk given the name 'submit_enquiry'. It also positions the tool against the enquiry_fields sibling by naming the field-key source.

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?

Gives an explicit two-step protocol with conditions: step 1 with answers and consent=true returns a summary/token to show the person; step 2 only 'if the person agrees' with the token. Alternatives and preconditions are spelled out rather than inferred.

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