managed_agent_status

Get the lifecycle state of a managed cloud-agent session: idle/running/error, title, last error. Use when native conversation memory is wrong because you need the cloud session\

SERVERRuflo SOURCEruvnet/ruflo

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ruflo/managed-agent-status.md

WHAT IT DOES

What managed_agent_status does on Ruflo

AI agents call managed_agent_status to retrieve information from Ruflo without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why managed_agent_status is rated Low

This is a query/status-check operation that retrieves metadata about an existing agent session without creating, modifying, deleting, or executing any operations. It falls clearly into the Read category with low severity since it only exposes informational state data about agent lifecycle and error history.

From the tool's definition Tool name 'managed_agent_status' and description indicate it retrieves state information ('Get the lifecycle state') of a managed agent session, including status (idle/running/error), title, and last error.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs managed_agent_status safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Ruflo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For managed_agent_status, this is the rule to start with:

managed_agent_status Allowed

managed_agent_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "managed_agent_status": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Ruflo, apply this rule, and every managed_agent_status call is checked against it from then on.

FAQ

Questions about managed_agent_status

What does the managed_agent_status tool do? +

Get the lifecycle state of a managed cloud-agent session: idle/running/error, title, last error. Use when native conversation memory is wrong because you need the cloud session\. It is categorised as a Read tool in the Ruflo MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on managed_agent_status? +

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

managed_agent_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit managed_agent_status? +

Yes. Add a rate_limit block to the managed_agent_status 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_status completely? +

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

managed_agent_status 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.

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