获取下一个推荐执行的任务。基于优先级、依赖状态和子任务关系自动选择最优任务。
AI agents call qflow_task_next to retrieve information from Qflow without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and recommends the next task based on priority, dependency state, and subtask relationships. This is a read/query operation with no side effects indicated — it selects and returns information rather than creating, modifying, or executing anything.
From the tool's definition 获取下一个推荐执行的任务 — 'get the next recommended task to execute'
Documented attack patterns abuse exactly the kind of access qflow_task_next gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Qflow, and nothing reaches the server without passing your rules. This is the rule we recommend for qflow_task_next:
{
"version": "1",
"default": "deny",
"tools": {
"qflow_task_next": {}
}
}qflow_task_next is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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获取下一个推荐执行的任务。基于优先级、依赖状态和子任务关系自动选择最优任务。. It is categorised as a Read tool in the Qflow MCP Server, which means it retrieves data without modifying state.
Register the Qflow MCP server in PolicyLayer and add a rule for qflow_task_next: 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 Qflow. Nothing to install.
qflow_task_next is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the qflow_task_next 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.
Set action: deny in the PolicyLayer policy for qflow_task_next. 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.
qflow_task_next is provided by the Qflow MCP server (pangu-immortal/qflow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Qflow, 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.
50 Qflow tools catalogued and risk-classified — across an index of 43,000+ MCP servers.