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cancel_meeting

Cancel an employee's scheduled meeting by providing their ID, the meeting date and time, and the topic. Confirm the cancellation to update HR records.

Instructions

Cancel a scheduled meeting for an employee. :param employee_id: Employee ID :param meeting_datetime: Date and time of the meeting in python datetime format :param topic: Topic of the meeting (optional) :return: Confirmation message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
employee_idYes
meeting_datetimeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It only states the action and return message, but does not disclose side effects (e.g., permanent cancellation, possible notifications), permission requirements, or error behavior. 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief and structured with param lines and a return line. It is not overly verbose, though the param listing partially duplicates schema information. The extra formatting with colons is acceptable but not ideal.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple cancellation tool with an output schema, the description covers the essential action and return value. However, the contradiction about optional parameters and the lack of error handling or validation context leave notable gaps. It is minimally adequate but not comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds some meaning beyond the schema (e.g., 'python datetime format' for meeting_datetime, topic being optional), but it contradicts the schema by calling 'topic' optional when the schema lists it as required. This inconsistency significantly reduces trust and practical value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Cancel') and resource ('scheduled meeting') and identifies the target ('employee'). It clearly distinguishes from sibling tools like 'schedule_meeting' and 'get_meetings' by indicating a cancellation action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The usage is implied by the tool name and verb, but there is no explicit guidance on when to prefer this tool over alternatives, nor any exclusions. The description does not state prerequisites like whether the meeting must exist or who is allowed to cancel.

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

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