Vampire drain analysis — battery loss while parked overnight.
AI agents call tesla_vampire_drain to retrieve information from Mcp Teslamate Fleet without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs analysis of historical battery drain data while the vehicle is parked. The description indicates it reads and analyzes existing data (battery loss metrics) rather than executing commands or modifying anything. It is a read/analytics tool similar to the sibling tools tesla_charging_history, tesla_drives, and tesla_efficiency.
From the tool's definition Vampire drain analysis — battery loss while parked overnight.
Attacks that exploit this kind of access
Vampire drain analysis — battery loss while parked overnight. It is categorised as a Read tool in the Mcp Teslamate Fleet MCP Server, which means it retrieves data without modifying state.
Register the Mcp Teslamate Fleet MCP server in PolicyLayer and add a rule for tesla_vampire_drain: 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 Mcp Teslamate Fleet. Nothing to install.
tesla_vampire_drain is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the tesla_vampire_drain 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 tesla_vampire_drain. 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.
tesla_vampire_drain is provided by the Mcp Teslamate Fleet MCP server (lodordev/mcp-teslamate-fleet). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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