tesla_climate_on · Mcp Teslamate Fleet MCP: Risk & Policy

WHAT IT DOES

What tesla_climate_on does on Mcp Teslamate Fleet

AI agents invoke tesla_climate_on to trigger actions in Mcp Teslamate Fleet. 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.

WHY IT NEEDS A POLICY

Why tesla_climate_on needs a policy

This tool executes a command on a Tesla vehicle to initiate climate control, which is an external operation with real-world effects. It is not merely reading data (Read), nor does it permanently destroy data (Destructive) or move money (Financial). While it modifies vehicle state, the effect is reversible (can be stopped with tesla_climate_off), making it Execute rather than Destructive.

From the tool's definition Tool description states 'Start climate preconditioning — heats or cools cabin to target temp.' The verb 'Start' indicates an action that triggers an external operation (vehicle climate control system) whose effects depend on arguments (target temperature).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

tesla_climate_on Rate-limited

tesla_climate_on 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "tesla_climate_on": {
      "limits": [
        {
          "counter": "tesla_climate_on_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Mcp Teslamate Fleet, so you can run agents against it safely.

FAQ

Questions about tesla_climate_on

What does the tesla_climate_on tool do? +

Start climate preconditioning — heats or cools cabin to target temp. It is categorised as a Execute tool in the Mcp Teslamate Fleet MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on tesla_climate_on? +

Register the Mcp Teslamate Fleet MCP server in PolicyLayer and add a rule for tesla_climate_on: 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.

What risk level is tesla_climate_on? +

tesla_climate_on is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit tesla_climate_on? +

Yes. Add a rate_limit block to the tesla_climate_on 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.

How do I block tesla_climate_on completely? +

Set action: deny in the PolicyLayer policy for tesla_climate_on. 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.

What MCP server provides tesla_climate_on? +

tesla_climate_on 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.