Schedule a Jules task to run automatically on a cron schedule. The server manages execution even when offline.
AI agents invoke schedule_recurring_task to trigger actions in Jules MCP Server. 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.
This tool schedules autonomous coding tasks (bug fixes, refactoring, tests) to run repeatedly on a cron schedule without requiring human presence. It triggers external code execution operations automatically and continuously, making it Execute category.
From the tool's definition Schedule a Jules task to run automatically on a cron schedule. The server manages execution even when offline.
Documented attack patterns abuse exactly the kind of access schedule_recurring_task gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Jules MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for schedule_recurring_task:
{
"version": "1",
"default": "deny",
"tools": {
"schedule_recurring_task": {
"limits": [
{
"counter": "schedule_recurring_task_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} schedule_recurring_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.
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Schedule a Jules task to run automatically on a cron schedule. The server manages execution even when offline. It is categorised as a Execute tool in the Jules MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Jules MCP Server MCP server in PolicyLayer and add a rule for schedule_recurring_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 Jules MCP Server. Nothing to install.
schedule_recurring_task is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the schedule_recurring_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.
Set action: deny in the PolicyLayer policy for schedule_recurring_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.
schedule_recurring_task is provided by the Jules MCP Server MCP server (savethepolarbears/jules-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Jules MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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11 Jules MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.