ai_service_status
Return status for ComfyUI, the fast Vulkan UI, Apache, ports, and AI disk usage.
This record as markdown: /tools/mcp-control-plane/ai-service-status.md
What ai_service_status does on Mcp Control Plane
AI agents call ai_service_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 ai_service_status is rated Low
This tool retrieves and reports status information about running services (ComfyUI, Apache), network ports, and disk usage—all read-only operations with no side effects. The verb 'Return' explicitly denotes data retrieval without persistence changes. Blast radius is minimal as misuse provides only informational output.
From the tool's definition Tool name 'ai_service_status' and description 'Return status for ComfyUI, the fast Vulkan UI, Apache, ports, and AI disk usage' indicate read-only query of system service and resource metrics with no modification, deletion, or execution of external operations.
Attacks that exploit this kind of access
The rule that runs ai_service_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 ai_service_status, this is the rule to start with:
ai_service_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 ai_service_status call is checked against it from then on.
Questions about ai_service_status
Return status for ComfyUI, the fast Vulkan UI, Apache, ports, and AI disk usage. 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 ai_service_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.
ai_service_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 ai_service_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 ai_service_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.
ai_service_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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