update_order · FleetMind MCP Server MCP: Risk & Policy

WHAT IT DOES

What update_order does on FleetMind MCP Server

AI agents use update_order 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 update_order needs a policy

The tool performs a write operation that modifies existing order records. While the empty description reduces confidence slightly, the name and system context (delivery management) clearly indicate data modification rather than retrieval (Read) or irreversible deletion (Destructive). Severity is medium because erroneous updates could disrupt delivery operations but are typically reversible.

From the tool's definition Tool name 'update_order' indicates modification of order data. No description provided, but in a delivery dispatch system context, updating an order would involve modifying order details reversibly (status, address, contents, etc.) rather than deletion.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_order Rate-limited

update_order 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": {
    "update_order": {
      "limits": [
        {
          "counter": "update_order_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 update_order

What does the update_order tool do? +

update_order. 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 update_order? +

Register the FleetMind MCP Server MCP server in PolicyLayer and add a rule for update_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 update_order? +

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

Can I rate-limit update_order? +

Yes. Add a rate_limit block to the update_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 update_order completely? +

Set action: deny in the PolicyLayer policy for update_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 update_order? +

update_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.