anylogic_create_model_ple · anylogicPLE- MCP: Risk & Policy

WHAT IT DOES

What anylogic_create_model_ple does on anylogicPLE-mcp

AI agents use anylogic_create_model_ple to create or update resources in anylogicPLE-mcp — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your anylogicPLE-mcp environment.

WHY IT NEEDS A POLICY

Why anylogic_create_model_ple needs a policy

This tool creates new simulation model files (AnyLogic .alp files) based on natural-language prompts. This is a reversible Write operation—users can delete or overwrite the generated models. It does not execute simulations, delete data irreversibly, move money, or involve destructive operations.

From the tool's definition Tool description states 'Create an AnyLogic simulation model', and the server description indicates it 'Generates AnyLogic simulation models' and produces 'runnable .alp files'.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

anylogic_create_model_ple Rate-limited

anylogic_create_model_ple 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": {
    "anylogic_create_model_ple": {
      "limits": [
        {
          "counter": "anylogic_create_model_ple_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 anylogicPLE-mcp, so you can run agents against it safely.

FAQ

Questions about anylogic_create_model_ple

What does the anylogic_create_model_ple tool do? +

Create an AnyLogic simulation model that complies with PLE (Personal Learning Edition) limits. It is categorised as a Write tool in the anylogicPLE-mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on anylogic_create_model_ple? +

Register the anylogicPLE- MCP server in PolicyLayer and add a rule for anylogic_create_model_ple: 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 anylogicPLE-mcp. Nothing to install.

What risk level is anylogic_create_model_ple? +

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

Can I rate-limit anylogic_create_model_ple? +

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

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

anylogic_create_model_ple is provided by the anylogicPLE- MCP server (umbaman/anylogicple-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.