call_service
Call a Home Assistant service, for example domain='light', service='turn_on'.
This record as markdown: /tools/mcp-control-plane/call-service.md
What call_service does on Mcp Control Plane
AI agents invoke call_service 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 call_service is rated High
This tool triggers external operations in Home Assistant (smart home devices, automations, etc.). While some calls are benign (turn on a light), the same interface can control locks, alarms, thermostats, or other critical home systems. The effects depend heavily on the arguments passed, and some actions (e.g., unlocking doors, disabling alarms) can have serious real-world consequences.
From the tool's definition 'Call a Home Assistant service, for example domain=\'light\', service=\'turn_on\'.'
Attacks that exploit this kind of access
The rule that runs call_service 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 call_service, this is the rule to start with:
call_service 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 call_service call is checked against it from then on.
Questions about call_service
Call a Home Assistant service, for example domain='light', service='turn_on'. 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 call_service: 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.
call_service 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 call_service 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 call_service. 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.
call_service 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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