AI agents call jules_list_tasks to retrieve information from Google Jules MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about existing Jules tasks. It performs no mutations, executions, deletions, or financial operations. The primary function is data retrieval, which is characteristic of the Read category. Listing tasks with their status is a standard informational query with minimal risk potential.
From the tool's definition Tool name 'jules_list_tasks' and description 'List all Jules tasks with their status' indicate retrieval of task data without modification or side effects.
Documented attack patterns abuse exactly the kind of access jules_list_tasks gives an agent:
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_list_tasks:
{
"version": "1",
"default": "deny",
"tools": {
"jules_list_tasks": {}
}
}jules_list_tasks is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all Jules tasks with their status. It is categorised as a Read tool in the Google Jules MCP MCP Server, which means it retrieves data without modifying state.
Register the Google Jules MCP server in PolicyLayer and add a rule for jules_list_tasks: 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.
jules_list_tasks is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the jules_list_tasks 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.
Set action: deny in the PolicyLayer policy for jules_list_tasks. 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.
jules_list_tasks 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.
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.
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13 Google Jules MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.