Skip to main content
Glama

cancel_meeting

Cancel a scheduled meeting for an employee by providing employee ID, meeting datetime, and optional topic.

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 provided. The description only says 'Cancel a scheduled meeting' without disclosing side effects (e.g., irreversibility, notifications). The return type is mentioned as 'Confirmation message' but lacks detail.

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 concise with a clear action line and parameter docstring. However, the docstring could be more structured (e.g., bullet points). Front-loaded with purpose.

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

Completeness2/5

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

For a mutation tool with no annotations and 3 required parameters, the description lacks context on preconditions, side effects, and error cases. Output schema exists but is not shown; description does not leverage it.

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 docstring adds some meaning to parameters (e.g., 'python datetime format' for meeting_datetime), but there is a contradiction: description calls topic 'optional' while the input schema marks it as required. Schema coverage is 0%.

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 clearly states the action ('cancel') and resource ('a scheduled meeting for an employee'), which is distinct from sibling tools like 'schedule_meeting' and 'get_meetings'.

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?

No guidance on when to use this tool versus alternatives. It does not specify prerequisites (e.g., meeting must exist) or when not to use it.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/dishant1901-prog/GenAI-HRMS-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server