auth_google_start · AIOS Co-Founder MCP: Risk & Policy

WHAT IT DOES

What auth_google_start does on AIOS Co-Founder MCP

AI agents invoke auth_google_start to trigger actions in AIOS Co-Founder MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why auth_google_start needs a policy

This tool executes an external operation (Google OAuth initialization) rather than simply reading or writing data directly. OAuth flows are interactive protocols that initiate authentication workflows. While starting an OAuth flow is generally safe in isolation, it falls under Execute because it triggers an external service operation.

From the tool's definition "Start Google OAuth flow and return an authorization URL" — initiates an OAuth authentication flow, which triggers an external operation (Google's authentication service) whose effects depend on arguments and subsequent user interaction.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

auth_google_start Rate-limited

auth_google_start stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "auth_google_start": {
      "limits": [
        {
          "counter": "auth_google_start_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches AIOS Co-Founder MCP, so you can run agents against it safely.

FAQ

Questions about auth_google_start

What does the auth_google_start tool do? +

Start Google OAuth flow and return an authorization URL. It is categorised as a Execute tool in the AIOS Co-Founder MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on auth_google_start? +

Register the AIOS Co-Founder MCP server in PolicyLayer and add a rule for auth_google_start: 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 AIOS Co-Founder MCP. Nothing to install.

What risk level is auth_google_start? +

auth_google_start is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit auth_google_start? +

Yes. Add a rate_limit block to the auth_google_start 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 auth_google_start completely? +

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

auth_google_start is provided by the AIOS Co-Founder MCP server (varun-b-nagaraj/python-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.