add_job_application · Google Workspace MCP Server MCP

WHAT IT DOES

What add_job_application does on Google Workspace MCP Server

AI agents use add_job_application 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_job_application needs a policy

This tool creates a new entry in local job application tracking storage. It is a straightforward Write operation that creates data reversibly without side effects beyond the record itself. The blast radius of misuse is minimal (spurious job application records), making severity low. High confidence due to clear naming and straightforward purpose.

From the tool's definition Tool name 'add_job_application' and description 'Add a new job application to track' indicate creation of a new record in a job tracking system.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

add_job_application Rate-limited

add_job_application 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_job_application": {
      "limits": [
        {
          "counter": "add_job_application_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_job_application

What does the add_job_application tool do? +

Add a new job application to track. 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_job_application? +

Register the Google Workspace MCP Server MCP server in PolicyLayer and add a rule for add_job_application: 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_job_application? +

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

Can I rate-limit add_job_application? +

Yes. Add a rate_limit block to the add_job_application 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_job_application completely? +

Set action: deny in the PolicyLayer policy for add_job_application. 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_job_application? +

add_job_application 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.