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 validation-then-confirm flow, the returned artifacts (summary, consent line, confirmation token), the double-opt-in email link that gates provider visibility, the maximum of three advisers, and the exact consent text. These are consequential side effects and prerequisites an agent could not infer from the schema.

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 uses clear Step 1 / Step 2 structure. Slightly long, and the consent string is quoted verbatim even though the schema repeats it identically, which is mild redundancy rather than waste.

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?

There is no output schema, so the description must explain returns, and it does: a summary, consent line and confirmation token in step 1, and an email verification link after submission. Combined with the nested-answers guidance and consent requirements, an agent has everything needed to call both steps 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, but the description adds real meaning: answers must be keyed by field key from enquiry_fields, and the optional confirmation token is only supplied on the second call after approval. The step-dependent semantics of 'confirmation' are clearer here than in the schema alone.

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 Farm Grant Deadlines') and immediately delimits scope with 'NOT a purchase, NOT a guaranteed quote', which cleanly separates it from commerce or quote siblings. An agent can distinguish it from enquiry_fields/enquiry_describe 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 an explicit two-step protocol: Step 1 with answers + consent=true, then Step 2 only 'if the person agrees' with the confirmation token added. The gating condition for the second call is stated outright, so no inference is required about when each invocation is appropriate.

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