cancel_booking

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the effect on seat availability, but does not explain what happens to the booking record, whether the operation is idempotent, what error conditions exist, or any authentication requirements. For a mutation tool, this is a minimal disclosure.

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?

The description is one concise sentence with no redundant information. It is front-loaded with the core action and outcome, making it efficient for an agent to parse quickly.

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?

The description is sparse for a tool with no annotations and no output schema. It does not mention what happens on success (e.g., confirmation, return value), how to handle invalid references, or what state changes occur beyond seat availability. An agent would need additional context to call it correctly and interpret the result.

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?

The schema has zero description coverage, and the description does not explain the booking_reference parameter at all. It gives no indication of the expected format, source, or context of this identifier. The agent is left entirely to infer its purpose from the parameter name alone, which is insufficient.

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 ('cancel'), a resource ('booking'), and an explicit outcome ('restore the seat availability'). It clearly distinguishes itself from siblings like book_flight and get_booking, leaving no ambiguity about its function.

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?

The usage is implied by the verb 'cancel' and the sibling list, but the description does not explicitly state when to use this tool versus alternatives, nor does it mention any prerequisites or exclusion conditions. It provides no direct guidance beyond the inherent meaning of the operation.

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