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

Goes well beyond the annotations: names the side effects (visit removed from the shop's schedule, person receives a cancellation text), states the action is irreversible here, and clarifies idempotency behavior ('calling again sends no second text'). Confirms destructive/open-world nature declared in annotations.

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 core action and its condition, and every sentence carries distinct information (terms, side effects, irreversibility, no-second-text). The single dense paragraph is slightly run-on, but there is no 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?

Covers preconditions, terms, side effects, reversibility, and repeat-call behavior for a destructive one-param mutation. With an output schema and full annotations also present, nothing needed to invoke it 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% and the quote_id description already explains its origin (find_help/get_quote for a booked visit), so the description adds nothing about the parameter. Baseline 3 applies when the schema carries the semantic load.

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 (cancels) and resource (a booked visit) plus the triggering condition (person asks and confirms in this conversation). An agent can distinguish it from siblings like move_booking, hold_time, or get_quote without inspecting schemas.

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?

Explicitly scopes when cancellation is free (within 3 days of booking, before the visit) and what to do otherwise (the person calls the shop). It also routes the re-booking case to the get_quote sibling and notes that repeat calls are a no-op.

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