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

Annotations already declare destructiveHint=true, idempotentHint=true, and readOnlyHint=false, so the safety profile is covered structurally. The description adds useful provenance context (token comes from book_appointment, company from find_companies) but doesn't disclose what the cancellation destroys or whether previously booked data is recoverable, so it adds only modest value beyond 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?

Short, so nothing is padded, but it reads as three disconnected fragments and the main purpose ('Cancels the booking') is buried in the second sentence rather than front-loaded. Structure is functional but not clean.

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 simple 2-parameter, no-output-schema tool with annotations present, the description supplies the two things an agent actually needs: where the parameters come from and the precondition for calling it. Return format need not be explained since no output schema exists and the effect is a cancellation.

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 only 50% and the token param has no schema description, so the description carries real weight here. It explains both parameters' origins: `company` comes from a find_companies result and token comes from book_appointment, which goes beyond what the schema states.

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 ('Cancels the booking') and situates it in a workflow by naming siblings find_companies and book_appointment. An agent can tell this apart from read tools like get_request_status. Slightly weakened by the fragmented structure and the fact that the first sentence leads with a parameter concern rather than the action.

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 one precondition — '(only when the client asked to)' — which constrains when to invoke it, plus a flow dependency on book_appointment's token. But it names no explicit alternative (e.g. get_request_status for tracking an existing request), so the when-not guidance is only partially developed.

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