managed_agent_prompt · Ruflo MCP: Risk & Policy

WHAT IT DOES

What managed_agent_prompt does on Ruflo

AI agents invoke managed_agent_prompt to trigger actions in Ruflo. 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.

WHY IT NEEDS A POLICY

Why managed_agent_prompt needs a policy

This tool executes arbitrary prompts against a managed cloud AI agent session, triggering autonomous agent workflows in a cloud container. The agent can use tools, execute code, and perform multi-step actions whose effects are entirely dependent on the prompt content.

From the tool's definition Send a user turn to a managed cloud-agent session and wait for it to go idle, returning the assistant text + a tool-use trace... the work is long-running, needs the cloud container, or must persist across turns

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

managed_agent_prompt Rate-limited

managed_agent_prompt 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.

View as policy code

policy.json

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

RATE-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 managed_agent_prompt

What does the managed_agent_prompt tool do? +

Send a user turn to a managed cloud-agent session and wait for it to go idle, returning the assistant text + a tool-use trace — the CLOUD counterpart of wasm_agent_prompt. Use when wasm_agent_prompt (local WASM) is wrong because the work is long-running, needs the cloud container, or must persist across turns. Polls the session event log up to maxWaitMs (default 180s); for very long tasks raise maxWaitMs or follow up with managed_agent_events. Pair with managed_agent_create (for sessionId). It is categorised as a Execute tool in the Ruflo MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on managed_agent_prompt? +

Register the Ruflo MCP server in PolicyLayer and add a rule for managed_agent_prompt: 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 managed_agent_prompt? +

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

Can I rate-limit managed_agent_prompt? +

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

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

managed_agent_prompt 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.