jules_approve_plan

THE RISK

High Risk

Why jules_approve_plan needs a policy

Approving an execution plan triggers Jules to carry out AI-powered development actions (code changes, automated workflows) on a task. This initiates external operations whose effects depend on the plan contents, making it Execute category. The blast radius is high because an AI agent misusing this could cause unintended code modifications or automated actions across a codebase.

From the tool's definition Approve Jules execution plan for a task

Documented attack patterns abuse exactly the kind of access jules_approve_plan gives an agent:

POLICY

How to control jules_approve_plan

PolicyLayer is an MCP gateway — it sits between your AI agents and Google Jules MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for jules_approve_plan:

policy.json

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

jules_approve_plan 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.

Create a free account and register Google Jules MCP — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Google Jules MCP tools

Execute jules_resume_task Resume a paused Jules task Execute jules_setup_wizard Interactive session setup wizard for automated Google authentication configuration Write jules_bulk_create_tasks Create multiple tasks from a list of descriptions and repositories Write jules_create_task Create a new task in Google Jules with repository and description Write jules_send_message Send a message/instruction to Jules in an active task Write jules_set_cookies Set browser cookies from string or JSON for authentication Read jules_analyze_code Analyze code changes and diff in a Jules task Read jules_get_cookies Extract current browser cookies for session persistence and backup

All 13 Google Jules MCP tools →

Execute tools on other servers

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Go deeper

High-risk tools in Google Jules MCP → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about jules_approve_plan

What does the jules_approve_plan tool do? +

Approve Jules execution plan for a task. It is categorised as a Execute tool in the Google Jules 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 jules_approve_plan? +

Register the Google Jules MCP server in PolicyLayer and add a rule for jules_approve_plan: 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 Jules MCP. Nothing to install.

What risk level is jules_approve_plan? +

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

Can I rate-limit jules_approve_plan? +

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

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

jules_approve_plan is provided by the Google Jules MCP server (samihalawa/google-jules-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Google Jules MCP tool call.

Start from Google Jules MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →