autopilot_config · Ruflo MCP: Risk & Policy

WHAT IT DOES

What autopilot_config does on Ruflo

AI agents use autopilot_config to create or update resources in Ruflo — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ruflo environment.

WHY IT NEEDS A POLICY

Why autopilot_config needs a policy

This tool creates or modifies configuration settings that affect agent behavior (max iterations, timeout, task sources), qualifying it as Write. Severity is high because misconfiguration could cause agents to iterate excessively, consume resources indefinitely, or process unintended task sources, creating substantial blast radius if an AI agent sets parameters maliciously or erroneously.

From the tool's definition 'Configure autopilot limits: max iterations (1-1000), timeout in minutes (1-1440), and task sources' indicates the tool modifies configuration settings that control autonomous agent behavior.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

autopilot_config Rate-limited

autopilot_config stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "autopilot_config": {
      "limits": [
        {
          "counter": "autopilot_config_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about autopilot_config

What does the autopilot_config tool do? +

Configure autopilot limits: max iterations (1-1000), timeout in minutes (1-1440), and task sources. Use when running long-horizon goals that should resume automatically across sessions — Claude Code has no native autonomous-loop scheduler. Pair with autopilot_enable + a goal description, then let cron fires advance the work. For interactive single-task sessions, native Task is fine. It is categorised as a Write tool in the Ruflo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on autopilot_config? +

Register the Ruflo MCP server in PolicyLayer and add a rule for autopilot_config: 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 Ruflo. Nothing to install.

What risk level is autopilot_config? +

autopilot_config is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit autopilot_config? +

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

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

autopilot_config is provided by the Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.