create_model · Betaflight MCP Server MCP: Risk & Policy

WHAT IT DOES

What create_model does on Betaflight MCP Server

AI agents use create_model to create or update resources in Betaflight MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Betaflight MCP Server environment.

WHY IT NEEDS A POLICY

Why create_model needs a policy

This tool creates new drone model configurations within the Betaflight flight controller, which is a reversible write operation. It does not execute flight commands, delete existing data, or move between systems. While misconfiguration could affect drone behavior, the creation of a base model itself is a non-destructive write operation.

From the tool's definition Tool name 'create_model' and description 'Crear un nuevo modelo con configuración base para drone FPV' (Create a new model with base configuration for FPV drone) indicate creation of new configuration data for flight controller systems.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_model Rate-limited

create_model stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_model": {
      "limits": [
        {
          "counter": "create_model_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about create_model

What does the create_model tool do? +

Crear un nuevo modelo con configuración base para drone FPV. It is categorised as a Write tool in the Betaflight MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_model? +

Register the Betaflight MCP Server MCP server in PolicyLayer and add a rule for create_model: 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 Betaflight MCP Server. Nothing to install.

What risk level is create_model? +

create_model is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_model? +

Yes. Add a rate_limit block to the create_model 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 create_model completely? +

Set action: deny in the PolicyLayer policy for create_model. 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 create_model? +

create_model is provided by the Betaflight MCP Server MCP server (jir13/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.