Execute a generic ADB command with custom arguments. Allows agents to run any ADB command with their own parameters.
AI agents invoke android_execute_command to trigger actions in Android MCP Server. 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 permits execution of arbitrary ADB (Android Debug Bridge) commands with user-supplied parameters. ADB commands can install/uninstall apps, modify system settings, access sensitive data, install malware, factory reset devices, and execute shell code with device privileges. The 'generic' and 'any' language confirms unrestricted execution capability.
From the tool's definition Tool description states 'Execute a generic ADB command with custom arguments. Allows agents to run any ADB command with their own parameters.' The use of 'Execute', 'generic', 'any ADB command', and 'custom arguments' indicates arbitrary command execution…
Attacks that exploit this kind of access
Execute a generic ADB command with custom arguments. Allows agents to run any ADB command with their own parameters. It is categorised as a Execute tool in the Android MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Android MCP Server MCP server in PolicyLayer and add a rule for android_execute_command: 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 Android MCP Server. Nothing to install.
android_execute_command 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 android_execute_command 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 android_execute_command. 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.
android_execute_command is provided by the Android MCP Server MCP server (jduartedj/android-mcp-server). 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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