High Risk →

qwen_chat

Send a prompt to Qwen via qwen CLI. Prompt sent via stdin (safe for any content). Models: qwen-turbo (fast, default), qwen-plus (deep analysis, code review), qwen-long (large context). Detects quota/auth errors.

How to control qwen_chat ↓

What qwen_chat does on Claude Concilium

AI agents invoke qwen_chat to trigger actions in Claude Concilium. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

Why qwen_chat needs a policy

This tool executes an external CLI process (qwen CLI) to interact with the Qwen AI service. Invoking a CLI subprocess is an Execute-category action — it triggers an external operation whose effects depend on the arguments passed. While the tool's primary purpose is chat/analysis (which might suggest Read), it runs a shell command to achieve this, placing it in Execute.

From the tool's definition Send a prompt to Qwen via qwen CLI. Prompt sent via stdin

Documented attack patterns abuse exactly the kind of access qwen_chat gives an agent:

How to control qwen_chat

PolicyLayer is an MCP gateway — it sits between your AI agents and Claude Concilium, and nothing reaches the server without passing your rules. This is the rule we recommend for qwen_chat:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "qwen_chat": {
      "limits": [
        {
          "counter": "qwen_chat_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

qwen_chat stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Claude Concilium — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about qwen_chat

What does the qwen_chat tool do? +

Send a prompt to Qwen via qwen CLI. Prompt sent via stdin (safe for any content). Models: qwen-turbo (fast, default), qwen-plus (deep analysis, code review), qwen-long (large context). Detects quota/auth errors. It is categorised as a Execute tool in the Claude Concilium MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on qwen_chat? +

Register the Claude Concilium MCP server in PolicyLayer and add a rule for qwen_chat: 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 Claude Concilium. Nothing to install.

What risk level is qwen_chat? +

qwen_chat is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit qwen_chat? +

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

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

qwen_chat is provided by the Claude Concilium MCP server (spyrae/claude-concilium). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Claude Concilium tool call.

Start from Claude Concilium, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

5 Claude Concilium tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.