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cancel_meeting

Cancels a scheduled employee meeting using employee ID and date/time, with an optional topic, and returns a confirmation.

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

NameRequiredDescriptionDefault
topicNo
employee_idYes
meeting_datetimeYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It says nothing about irreversibility of the cancellation, required permissions, behavior when the meeting is not found or when multiple meetings match, or how the optional topic disambiguates. Only the return value ('Confirmation message') is disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The lead sentence is well front-loaded, but the raw ':param'/':return' Sphinx syntax is machine-unfriendly boilerplate that largely restates schema fields rather than adding meaning. It is short, but a chunk of it does not earn its place.

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?

An output schema exists, so return-value explanation is not needed, and all three parameters are at least named. Still, for an unannotated destructive mutation the description omits failure modes and safety context, leaving gaps an agent would want before invoking it.

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

Parameters3/5

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

Schema description coverage is 0%, so the docstring lines are the only parameter documentation. They cover all three parameters, but 'employee_id: Employee ID' is a tautology and 'python datetime format' only marginally extends the schema's format: date-time; the topic parameter's disambiguation role is left unexplained.

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

Purpose4/5

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

The opening sentence gives a specific verb and resource ('Cancel a scheduled meeting for an employee'), so the intent is unmistakable. It does not, however, distinguish this from siblings like schedule_meeting or get_meetings, which share the same meeting domain.

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

Usage Guidelines2/5

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

There is no explicit guidance on when to use this versus schedule_meeting or get_meetings, nor any prerequisites (e.g., must the meeting exist, must it be in the future). The agent must infer usage entirely from the one-line purpose.

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