cancel_meeting

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It mentions that a confirmation message is returned, but does not disclose side effects (e.g., whether participants are notified, whether the cancellation is permanent), permission requirements, or error handling. This is insufficient for a mutation tool.

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 concise: a single sentence followed by parameter docstrings. It is front-loaded with the primary action and includes no fluff. The structure is readable and efficient, though the docstring style could be more integrated.

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?

An output schema exists, so return values don't need explanation. However, the description lacks context about prerequisites (e.g., meeting must exist), behavior when the meeting is not found, and the contradictory 'optional' topic flag introduces ambiguity. For a cancellation tool with no annotations, this is incomplete.

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 description adds some meaning to parameters (e.g., employee_id, meeting_datetime format, topic optional), which helps given the schema has 0% description coverage. However, it directly contradicts the schema by marking 'topic' as optional while the schema lists it as required. This misleading information undermines the value of the parameter documentation.

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 clearly states the action ('Cancel a scheduled meeting') and the target resource ('an employee'), making it distinct from sibling tools like schedule_meeting and get_meetings. The verb+resource combination is specific and unambiguous.

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 description provides no guidance on when to use this tool versus alternatives (e.g., schedule_meeting, get_meetings). It lacks any explicit conditions, prerequisites, or exclusions, leaving the agent to infer usage solely from the tool name.

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