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

With no annotations, the description carries the full burden and does so: it discloses the two-step protocol, that Step 1 only validates and returns a summary/consent line/token, that Step 2 performs the actual submission, that consent gates data sharing, and that a provider never sees the enquiry until a link is clicked. This is unusually rich behavioral disclosure for a mutation 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?

Front-loaded with the disambiguating 'NOT a purchase' clause and cleanly split into Step 1/Step 2. It is somewhat long because the full consent sentence is quoted verbatim, which is defensible for legal wording but is still duplication of the schema's consent description.

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, yet the description explains exactly what Step 1 returns (summary, consent line, confirmation token) and what the end user receives (an email with a click-through link). Combined with a 3-param nested schema that is fully documented, nothing an agent needs to call this 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, but the description adds real meaning beyond the schema: it ties 'answers' to field keys from the enquiry_fields sibling, and clarifies that 'confirmation' is only supplied in Step 2 after approval. The conditional ordering of parameters is not expressible in the schema, so this exceeds baseline.

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 and resource ('Submits an enquiry to Med Spa Cost Checker') and immediately distinguishes it from adjacent concepts with 'NOT a purchase, NOT a guaranteed quote'. An agent can separate it from the dataset_* and enquiry_* siblings without opening any 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 explicit conditional routing: call Step 1 with answers and consent=true, show the person the summary and consent line, then call Step 2 only if the person agrees. It also names the gating condition (email link must be clicked before any provider sees it), leaving nothing to inference.

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