AI agents invoke switch_to_app to trigger actions in Ulanzi. 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 triggers an external operation on the Ulanzi TC001 Smart Pixel Clock, changing the currently displayed app. It is an action that affects the device's state (display output), making it Execute. The blast radius is low since it only changes what is shown on a small pixel clock display and is easily reversible.
From the tool's definition Switch to a specific app
Attacks that exploit this kind of access
Switch to a specific app. It is categorised as a Execute tool in the Ulanzi MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ulanzi MCP server in PolicyLayer and add a rule for switch_to_app: 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 Ulanzi. Nothing to install.
switch_to_app 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 switch_to_app 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 switch_to_app. 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.
switch_to_app is provided by the Ulanzi MCP server (jelloeater/ulanzi-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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