Set charge limit percentage (50-100).
AI agents use tesla_set_charge_limit to commit financial operations through Mcp Teslamate Fleet — usually the final step of a payment, billing, or trading workflow. A call moves real money.
tesla_set_charge_limit moves real money, and an autonomous agent will call it with the same confidence it calls a search tool. A misread instruction or an injected prompt is all it takes to drain an account or blow a budget.
Attacks that exploit this kind of access
Set charge limit percentage (50-100). It is categorised as a Financial tool in the Mcp Teslamate Fleet MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Mcp Teslamate Fleet MCP server in PolicyLayer and add a rule for tesla_set_charge_limit: 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_set_charge_limit is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the tesla_set_charge_limit 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_set_charge_limit. 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_set_charge_limit 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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