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

With no annotations, the description carries the full burden and largely meets it: it discloses validation, the returned summary/consent line/token, the double opt-in email click before any provider sees the enquiry, and the exact consent sentence. It doesn't cover failure modes (what happens if validation rejects answers, or whether a step-1 call is safely repeatable), which keeps it short of a 5.

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?

Purpose and the 'not a purchase' warning are front-loaded, and every sentence carries operational detail. It is dense and slightly run-on (long em-dash clause ending in an awkward literal such as 'SEOs for architecture firm'), but nothing is padding.

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?

No output schema exists, and the description compensates by describing exactly what step 1 returns (summary, consent line, confirmation token) and what step 2 triggers (email with a click-through link). For a nested-answers, multi-call tool with no annotations, this is complete enough to execute 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. The description adds real meaning beyond per-field docs by tying the parameters into a workflow: answers are 'keyed by field key from enquiry_fields', consent must be true, and the confirmation token is only supplied on the step-2 call after the summary is approved.

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 (submit an enquiry to human providers) and immediately disambiguates scope with 'NOT a purchase, NOT a guaranteed quote'. It also names the sibling tool enquiry_fields as the source of the answer keys, so an agent can route between them without opening either schema.

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: step 1 with answers+consent=true, step 2 only 'if the person agrees' with the returned token. The gating condition and the sequencing are spelled out, leaving no ambiguity about when each call is legitimate.

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