add_work_experience · Google Workspace MCP Server MCP

WHAT IT DOES

What add_work_experience does on Google Workspace MCP Server

AI agents use add_work_experience 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_work_experience needs a policy

This tool creates or modifies user profile information (work experience) in a reversible manner. It does not execute code, delete data irreversibly, move money, or perform external operations with unpredictable side effects. The blast radius is limited to the user's own profile data within the Workspace system. Classified as Write with low severity.

From the tool's definition Tool name is 'add_work_experience' and description states 'Add work experience to your profile', indicating creation of new profile data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

add_work_experience Rate-limited

add_work_experience 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_work_experience": {
      "limits": [
        {
          "counter": "add_work_experience_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_work_experience

What does the add_work_experience tool do? +

Add work experience to your profile. 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_work_experience? +

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

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

Can I rate-limit add_work_experience? +

Yes. Add a rate_limit block to the add_work_experience 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_work_experience completely? +

Set action: deny in the PolicyLayer policy for add_work_experience. 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_work_experience? +

add_work_experience 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.