plan_query · MCP-Dubai MCP: Risk & Policy

WHAT IT DOES

What plan_query does on MCP-Dubai

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

WHY IT NEEDS A POLICY

Why plan_query needs a policy

An AI agent can call plan_query faster than any human can review — one bad instruction and it creates or modifies resources in MCP-Dubai by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

plan_query Rate-limited

plan_query 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": {
    "plan_query": {
      "limits": [
        {
          "counter": "plan_query_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 MCP-Dubai, so you can run agents against it safely.

FAQ

Questions about plan_query

What does the plan_query tool do? +

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

How do I enforce a policy on plan_query? +

Register the MCP-Dubai MCP server in PolicyLayer and add a rule for plan_query: 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 MCP-Dubai. Nothing to install.

What risk level is plan_query? +

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

Can I rate-limit plan_query? +

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

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

plan_query is provided by the MCP-Dubai MCP server (mahdi-salmanzade/mcp-dubai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.