Executes shell commands on a connected Android device
AI agents invoke adb_shell to trigger actions in Android ADB 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 runs arbitrary shell commands on an Android device. An AI agent could misuse it to read sensitive data, modify system files, delete user data, exfiltrate information, install malware, or brick the device. It spans Read, Write, Destructive, and Execute categories; Execute/Destructive is the highest applicable risk. The blast radius is critical because arbitrary shell access provides full device control.
From the tool's definition "Executes shell commands on a connected Android device"
Documented attack patterns abuse exactly the kind of access adb_shell gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Android ADB MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for adb_shell:
{
"version": "1",
"default": "deny",
"tools": {
"adb_shell": {
"limits": [
{
"counter": "adb_shell_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} adb_shell stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Executes shell commands on a connected Android device. It is categorised as a Execute tool in the Android ADB MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Android ADB MCP Server MCP server in PolicyLayer and add a rule for adb_shell: 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 ADB MCP Server. Nothing to install.
adb_shell 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_shell 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_shell. 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_shell is provided by the Android ADB MCP Server MCP server (landicefu/android-adb-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Android ADB MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 Android ADB MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.