tesla_trip_cost
AI agents call tesla_trip_cost 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.
The tool name 'tesla_trip_cost' suggests it reads or calculates the cost of trips, likely from historical TeslaMate data. Sibling tools like 'tesla_drives', 'tesla_charging_history', and 'tesla_efficiency' are all read/analytics tools. However, the description is empty, which lowers confidence.
From the tool's definition Tool name 'tesla_trip_cost' and empty description. Based on naming convention, this likely retrieves/calculates trip cost data from historical records.
Attacks that exploit this kind of access
tesla_trip_cost. 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_trip_cost: 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_trip_cost 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_trip_cost 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_trip_cost. 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_trip_cost 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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