Toggle the sauna light on/off
AI agents invoke toggle_light to trigger actions in Home Controller. 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.
This tool executes a real-world physical action by toggling a smart home device's light state. It spans Write (changing state) and Execute (triggering an external operation on physical hardware). Since it controls a physical device with immediate real-world effects, Execute is the most appropriate category.
From the tool's definition Toggle the sauna light on/off — triggers an external physical operation on a smart home device (HUUM sauna light)
Attacks that exploit this kind of access
Toggle the sauna light on/off. It is categorised as a Execute tool in the Home Controller MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Home Controller MCP server in PolicyLayer and add a rule for toggle_light: 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 Home Controller. Nothing to install.
toggle_light 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 toggle_light 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 toggle_light. 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.
toggle_light is provided by the Home Controller MCP server (winsthuang/home-controller). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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