queue_decision · Planning System MCP Server MCP

WHAT IT DOES

What queue_decision does on Planning System MCP Server

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

WHY IT NEEDS A POLICY

Why queue_decision needs a policy

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

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

queue_decision Rate-limited

queue_decision 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": {
    "queue_decision": {
      "limits": [
        {
          "counter": "queue_decision_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 Planning System MCP Server, so you can run agents against it safely.

FAQ

Questions about queue_decision

What does the queue_decision tool do? +

Queue a decision for human review. Writes to the real decisions table. It is categorised as a Write tool in the Planning System 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 queue_decision? +

Register the Planning System MCP Server MCP server in PolicyLayer and add a rule for queue_decision: 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 Planning System MCP Server. Nothing to install.

What risk level is queue_decision? +

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

Can I rate-limit queue_decision? +

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

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

queue_decision is provided by the Planning System MCP Server MCP server (tagents/agent-planner-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.