AI agents invoke wake_up to trigger actions in Tesla 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 sends a command to a Tesla vehicle to wake it from sleep, which is an external operation with real-world effects. It doesn't read data, write/modify stored data, or destroy anything, but it does trigger an action on an external system (the vehicle). Severity is medium because waking a vehicle unnecessarily could drain the battery, but it is generally reversible and not destructive.
From the tool's definition 'Wake up your Tesla vehicle from sleep mode' — triggers an external operation on a physical vehicle
Documented attack patterns abuse exactly the kind of access wake_up gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Tesla MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for wake_up:
{
"version": "1",
"default": "deny",
"tools": {
"wake_up": {
"limits": [
{
"counter": "wake_up_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}wake_up 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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Wake up your Tesla vehicle from sleep mode. It is categorised as a Execute tool in the Tesla MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Tesla MCP Server MCP server in PolicyLayer and add a rule for wake_up: 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 Tesla MCP Server. Nothing to install.
wake_up 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 wake_up 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 wake_up. 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.
wake_up is provided by the Tesla MCP Server MCP server (scald/tesla-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Tesla MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
3 Tesla MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.