service_control
Run systemctl action for a service: status, restart, reload, start, stop, enable, disable.
This record as markdown: /tools/mcp-control-plane/service-control.md
What service_control does on Mcp Control Plane
AI agents invoke service_control to trigger actions in Mcp Control Plane. 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 service_control is rated High
While service_control does not permanently delete data (making it not Destructive), it directly executes system commands that trigger external operations with side effects that depend on arguments. Restarting or stopping services can disrupt system availability and dependent applications.
From the tool's definition Tool can run systemctl actions including restart, reload, start, stop, enable, disable on system services. These are direct system-level operations that trigger external processes and alter system state.
Attacks that exploit this kind of access
The rule that runs service_control 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 service_control, this is the rule to start with:
service_control 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Control Plane, apply this rule, and every service_control call is checked against it from then on.
Questions about service_control
Run systemctl action for a service: status, restart, reload, start, stop, enable, disable. It is categorised as a Execute tool in the Mcp Control Plane MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Control Plane MCP server in PolicyLayer and add a rule for service_control: 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.
service_control is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the service_control 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 service_control. 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.
service_control 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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