tunnel_status
Return status for a local tunnel.
This record as markdown: /tools/mcp-control-plane/tunnel-status.md
What tunnel_status does on Mcp Control Plane
AI agents call tunnel_status to retrieve information from Mcp Control Plane without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why tunnel_status is rated Low
This tool retrieves and returns status data about an existing tunnel—a straightforward read operation. No data is created, modified, deleted, or executed. The blast radius if misused is minimal: an agent could only gain visibility into tunnel states, not cause infrastructure changes or disruptions.
From the tool's definition Tool name 'tunnel_status' and description 'Return status for a local tunnel' indicate a read-only query operation that retrieves status information without modification or side effects.
Attacks that exploit this kind of access
The rule that runs tunnel_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Control Plane, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For tunnel_status, this is the rule to start with:
tunnel_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Control Plane, apply this rule, and every tunnel_status call is checked against it from then on.
Questions about tunnel_status
Return status for a local tunnel. It is categorised as a Read tool in the Mcp Control Plane MCP Server, which means it retrieves data without modifying state.
Register the Mcp Control Plane MCP server in PolicyLayer and add a rule for tunnel_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 Mcp Control Plane. Nothing to install.
tunnel_status 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 tunnel_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.
Set action: deny in the PolicyLayer policy for tunnel_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.
tunnel_status is provided by the Mcp Control Plane MCP server (albertik322-sudo/mcp-control-plane). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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