resolve_queue_item · Langfuse Mcp Python MCP: Risk & Policy

WHAT IT DOES

What resolve_queue_item does on Langfuse Mcp Python

AI agents use resolve_queue_item to create or update resources in Langfuse Mcp Python — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Langfuse Mcp Python environment.

WHY IT NEEDS A POLICY

Why resolve_queue_item needs a policy

This tool changes the status of an annotation queue item from its current state to COMPLETED. This is a reversible modification (status can be changed again), so it falls under Write rather than Destructive. The blast radius is medium because it affects workflow state and could disrupt annotation processes if misused, but doesn't irreversibly delete data or perform external operations.

From the tool's definition Tool marks an annotation queue item as 'resolved (status=COMPLETED)', which updates/modifies the state of data in the Langfuse monitoring system.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

resolve_queue_item Rate-limited

resolve_queue_item 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": {
    "resolve_queue_item": {
      "limits": [
        {
          "counter": "resolve_queue_item_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 Langfuse Mcp Python, so you can run agents against it safely.

FAQ

Questions about resolve_queue_item

What does the resolve_queue_item tool do? +

Mark an annotation queue item as resolved (status=COMPLETED). It is categorised as a Write tool in the Langfuse Mcp Python MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on resolve_queue_item? +

Register the Langfuse Mcp Python MCP server in PolicyLayer and add a rule for resolve_queue_item: 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 Langfuse Mcp Python. Nothing to install.

What risk level is resolve_queue_item? +

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

Can I rate-limit resolve_queue_item? +

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

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

resolve_queue_item is provided by the Langfuse Mcp Python MCP server (log-logn/langfuse-mcp-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.