add_interview · Google Workspace MCP Server MCP

WHAT IT DOES

What add_interview does on Google Workspace MCP Server

AI agents use add_interview to create or update resources in Google Workspace MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Google Workspace MCP Server environment.

WHY IT NEEDS A POLICY

Why add_interview needs a policy

This tool creates a new interview entry in the personal job tracking system. It does not execute external operations, delete data irreversibly, or move money. The data can be modified or deleted later, making it reversible. Medium severity reflects that misuse could create spurious interview records affecting the user's job application workflow, but impact is localized to the user's personal data store.

From the tool's definition Tool name 'add_interview' and description 'Add an interview for a job application' indicate creation of a new record. The verb 'add' and context of job application tracking show this creates or modifies data reversibly.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

add_interview Rate-limited

add_interview stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_interview": {
      "limits": [
        {
          "counter": "add_interview_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Google Workspace MCP Server, so you can run agents against it safely.

FAQ

Questions about add_interview

What does the add_interview tool do? +

Add an interview for a job application. It is categorised as a Write tool in the Google Workspace MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_interview? +

Register the Google Workspace MCP Server MCP server in PolicyLayer and add a rule for add_interview: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Google Workspace MCP Server. Nothing to install.

What risk level is add_interview? +

add_interview is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit add_interview? +

Yes. Add a rate_limit block to the add_interview rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block add_interview completely? +

Set action: deny in the PolicyLayer policy for add_interview. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides add_interview? +

add_interview is provided by the Google Workspace MCP Server MCP server (pbulbule13/google-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.