Press the back button
AI agents invoke adb_press_back to trigger actions in Openclaw Adb. 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 UI interaction (pressing the back button) on a remote Android device. It causes a real side effect (navigating back in the UI), making it Execute rather than Read or Write. Misuse could disrupt ongoing operations or close important apps, but blast radius is limited.
From the tool's definition Press the back button — triggers a hardware button press action on the Android device via ADB
Attacks that exploit this kind of access
Press the back button. It is categorised as a Execute tool in the Openclaw Adb MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Openclaw Adb MCP server in PolicyLayer and add a rule for adb_press_back: 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 Openclaw Adb. Nothing to install.
adb_press_back 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 adb_press_back 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 adb_press_back. 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.
adb_press_back is provided by the Openclaw Adb MCP server (wilsonbeam/openclaw-adb-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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