auto_assign_order · FleetMind MCP Server MCP: Risk & Policy

WHAT IT DOES

What auto_assign_order does on FleetMind MCP Server

AI agents invoke auto_assign_order to trigger actions in FleetMind MCP Server. 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 auto_assign_order needs a policy

Based on the server description and sibling tools (create_assignment, calculate_intelligent_route), 'auto_assign_order' likely triggers an automated AI-driven process to assign a delivery order to a driver, potentially creating assignments and triggering downstream operations. This is an Execute-level action as it runs an intelligent dispatch process with external effects.

From the tool's definition Tool name 'auto_assign_order' and server context describing AI-powered dispatch with route optimization and assignment creation; description is empty and uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

auto_assign_order Rate-limited

auto_assign_order 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": {
    "auto_assign_order": {
      "limits": [
        {
          "counter": "auto_assign_order_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 FleetMind MCP Server, so you can run agents against it safely.

FAQ

Questions about auto_assign_order

What does the auto_assign_order tool do? +

auto_assign_order. It is categorised as a Execute tool in the FleetMind MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on auto_assign_order? +

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

What risk level is auto_assign_order? +

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

Can I rate-limit auto_assign_order? +

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

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

auto_assign_order is provided by the FleetMind MCP Server MCP server (mashrur-rahman-fahim/fleetmind-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.