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jules_resume_task

Resume a paused Jules task

How to control jules_resume_task ↓

What jules_resume_task does on Google Jules MCP

AI agents invoke jules_resume_task to trigger actions in Google Jules 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.

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Why jules_resume_task needs a policy

Resuming a paused task triggers the continuation of an AI-powered development workflow or task execution. This constitutes triggering an external operation whose effects depend on the task's arguments/state. It is not merely reading data, and since it restarts automated code/task execution, Execute is the most appropriate category.

From the tool's definition Resume a paused Jules task

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

How to control jules_resume_task

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_resume_task:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "jules_resume_task": {
      "limits": [
        {
          "counter": "jules_resume_task_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

jules_resume_task 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.

  1. Create a free account and register Google Jules MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about jules_resume_task

What does the jules_resume_task tool do? +

Resume a paused Jules 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_resume_task? +

Register the Google Jules MCP server in PolicyLayer and add a rule for jules_resume_task: 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_resume_task? +

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

Can I rate-limit jules_resume_task? +

Yes. Add a rate_limit block to the jules_resume_task 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_resume_task completely? +

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

jules_resume_task 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.

Free to start. No card required.

13 Google Jules MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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