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

Goes well beyond the annotations: the user's data is transmitted to the firm's client system, content is auto-generated from answers plus published figures and case data, and a named human lawyer reads and answers replies by email. The 'offer once' rule also implicitly conveys the non-idempotent, side-effecting nature without contradicting openWorldHint=true or readOnlyHint=false.

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 core action and what the assessment contains, then closes with the offer-once rule and consent gate where an agent will look for call constraints. The middle sentence is dense — a long enumerated list inside a single sentence — but no sentence is 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 15-parameter, side-effecting, no-output-schema tool it covers the important unknowns: where data goes, that a human follows up, and the consent gate. The one omission is what the tool returns to the agent on success (a confirmation that the email was sent), which an agent has to infer.

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 93%, so the schema already documents each parameter thoroughly, including the full consent notice text and the honeypot field. The description adds little per-parameter detail beyond reinforcing the consent gate ('requires name, email and explicit consent'), so it lands at the baseline for well-covered schemas.

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 — sends a free personalized Spain visa assessment by email — and enumerates the concrete contents (visa fit, 2026 income figure, consulate document checklist, timeline, refusal risks). It is clearly a distinct deliverable from which_spain_visa or spain_visa_requirements, but it never names those siblings to draw the line explicitly.

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?

"Offer it once when the user has a concrete case" gives both a trigger and a frequency constraint, and the consent prerequisites (show privacy notice, get a clear yes, never set on the user's behalf, do not call if no yes) are spelled out. It stops short of naming when to prefer which_spain_visa or request_consultation instead.

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