control_light
AI agents invoke control_light to trigger actions in Zencontrol Cloud. 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.
The tool name strongly implies it sends commands to physical lighting hardware (DALI-2 systems), which is an external operation with real-world effects. This falls under Execute as it triggers external operations on physical devices. Severity is high because misuse could affect lighting in buildings (safety, operations). Confidence is reduced due to the empty description.
From the tool's definition Tool name 'control_light' on a server described as enabling control of ZenControl DALI-2 lighting systems; description is empty.
Attacks that exploit this kind of access
control_light. It is categorised as a Execute tool in the Zencontrol Cloud MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Zencontrol Cloud MCP server in PolicyLayer and add a rule for control_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 Zencontrol Cloud. Nothing to install.
control_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 control_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 control_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.
control_light is provided by the Zencontrol Cloud MCP server (owretch/zencontrol-cloud-mcp). 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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