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

Annotations already declare that this is a non-read-only, non-idempotent, non-destructive mutation. The description adds workflow context beyond that: it requires the request_id from the previous step and a 6-digit code delivered via WhatsApp, implying a user-verification step. It does not describe success/failure outcomes or permissions, but with annotations covering the safety profile this is a solid contribution.

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?

A single sentence that is front-loaded with the workflow position and the key requirement. There is no wasted wording; every element (second step, request_booking, code from WhatsApp) is necessary and immediately usable.

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 two-parameter mutation tool with detailed annotations and no output schema, the description provides sufficient context: it identifies the preceding step, the required code source, and the overall purpose. It could mention what happens after confirmation (e.g., final booking state) but nothing essential for calling the tool 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 description coverage is 100%, so both parameters are already fully documented in the schema. The description mentions the code received via WhatsApp, which mirrors the schema's own description, and adds no new syntax, format, or constraint details beyond what the schema provides. Baseline 3 is appropriate when the schema does the heavy lifting.

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?

The description states a specific verb (conferma) and resource (prenotazione), and explicitly positions the tool as the second step of request_booking, which differentiates it from the sibling request_booking. An agent can tell what it does and where it fits in the workflow without opening the 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?

It clearly says this is the second step of request_booking and requires a code received via WhatsApp, giving strong contextual guidance on when to call it. It does not name alternatives or state when not to use it, but the prerequisite is explicit enough to guide correct invocation.

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