model_create · Flex Sensor Agent MCP: Risk & Policy

WHAT IT DOES

What model_create does on Flex Sensor Agent

AI agents use model_create to create or update resources in Flex Sensor Agent — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Flex Sensor Agent environment.

WHY IT NEEDS A POLICY

Why model_create needs a policy

The tool creates simulation models in COMSOL, which is a reversible write operation. While the description is empty (lowering confidence), the name 'model_create' and context of a physics simulation server strongly suggest data creation. Severity is medium because model creation can consume computational resources and storage, but models can be deleted or overwritten.

From the tool's definition Tool named 'model_create' in context of COMSOL Multiphysics simulation server; description is empty but name and sibling tools (flex_sensor_build_contact_model, flex_sensor_export_contact_results) indicate creation of simulation models.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

model_create Rate-limited

model_create 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": {
    "model_create": {
      "limits": [
        {
          "counter": "model_create_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 Flex Sensor Agent, so you can run agents against it safely.

FAQ

Questions about model_create

What does the model_create tool do? +

model_create. It is categorised as a Write tool in the Flex Sensor Agent MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on model_create? +

Register the Flex Sensor Agent MCP server in PolicyLayer and add a rule for model_create: 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 Flex Sensor Agent. Nothing to install.

What risk level is model_create? +

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

Can I rate-limit model_create? +

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

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

model_create is provided by the Flex Sensor Agent MCP server (tonghui666/flex-sensor-agent-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.