create_assignment · FleetMind MCP Server MCP: Risk & Policy

WHAT IT DOES

What create_assignment does on FleetMind MCP Server

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

WHY IT NEEDS A POLICY

Why create_assignment needs a policy

The 'create_' prefix and server context (delivery dispatch with order/driver management) indicate this tool creates or modifies assignment records reversibly. Without a description, confidence is reduced, but sibling tools like 'create_order' and 'create_driver' confirm the pattern of Write operations on this server.

From the tool's definition Tool name 'create_assignment' indicates creation of a new assignment entity. Server context shows this is a delivery dispatch system managing orders and driver assignments. The tool creates data in the system (a delivery assignment linking driver to order).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_assignment Rate-limited

create_assignment 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_assignment": {
      "limits": [
        {
          "counter": "create_assignment_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 FleetMind MCP Server, so you can run agents against it safely.

FAQ

Questions about create_assignment

What does the create_assignment tool do? +

create_assignment. It is categorised as a Write tool in the FleetMind 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_assignment? +

Register the FleetMind MCP Server MCP server in PolicyLayer and add a rule for create_assignment: 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 create_assignment? +

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

Can I rate-limit create_assignment? +

Yes. Add a rate_limit block to the create_assignment 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_assignment completely? +

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

create_assignment 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.