Skip to main content
Glama
dpkdhingra91

AI Interview Agents MCP Server

cancel_interview

Destructive

Cancel a scheduled interview. Deletes meeting and candidate records.

Instructions

Cancel a scheduled interview. Destructive — meeting and candidate rows are deleted.

    ASK BEFORE CALLING if the user said "that interview" / "Priya's"
    / anything ambiguous and you don't have a specific meeting_id from
    a prior list_meetings result. Call list_meetings first to surface
    candidates, then confirm with the user which meeting they mean.
    Cancelling the wrong meeting cannot be undone in-band — the
    candidate has to be rescheduled from scratch.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
meeting_idYes
Behavior5/5

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

Beyond annotations (destructiveHint=true), the description discloses that meeting and candidate rows are deleted and that cancellation cannot be undone in-band. This adds critical context about side effects and recovery limitations.

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

Conciseness5/5

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

Efficiently structured with a clear purpose first, then destructive warning, and finally usage guidelines in a logical order. Every sentence adds value without redundancy.

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

Completeness5/5

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

For a destructive tool with a single parameter and no output schema, the description covers purpose, behavior prerequisites, parameter source, and risks. No gaps remain for effective agent usage.

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

Parameters4/5

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

Schema has 0% description coverage, but the description explains meeting_id as a value from list_meetings and implies its role in identifying the specific interview. While it doesn't specify format, the context is sufficient for a simple string parameter.

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 a scheduled interview') and identifies the resource (interview) with specific destructive consequences. It implicitly distinguishes from siblings like reschedule_interview by calling out its destructive nature.

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

Usage Guidelines5/5

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

Provides explicit guidance on when to ask before calling (ambiguous references) and directs to call list_meetings first. Also warns about irreversibility, offering a clear decision framework for the agent.

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/dpkdhingra91/aiia-mcp-server'

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