Recent drives — distance, duration, efficiency, start/end locations.
AI agents call tesla_drives 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 retrieves historical driving data (distance, duration, efficiency, locations) with no side effects. It is purely a read/query operation on TeslaMate historical analytics.
From the tool's definition Recent drives — distance, duration, efficiency, start/end locations
Attacks that exploit this kind of access
Recent drives — distance, duration, efficiency, start/end locations. 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_drives: 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_drives 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_drives 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_drives. 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_drives 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.
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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