diff --git a/pipeline_service/agent_loop_v2.py b/pipeline_service/agent_loop_v2.py
index 5a76994..3bde1e9 100644
--- a/pipeline_service/agent_loop_v2.py
+++ b/pipeline_service/agent_loop_v2.py
@@ -136,20 +136,26 @@ class AgentExecutor:
                 action_type = act.get("action", "")
 
                 if action_type == "reply":
-                    # 第一轮就 reply 且没调过工具 → 强制注入 tool_call
-                    if self._tool_call_count == 0 and turn == 0:
+                    # 任何轮次，只要没成功调过工具就 reply → 强制注入工具调用
+                    if self._tool_call_count == 0:
+                        # 根据用户输入推断合适的工具
+                        hint_tool = "diagnose_project"
+                        if any(kw in user_input.lower() for kw in ["任务", "task", "list"]):
+                            hint_tool = "list_tasks"
+                        elif any(kw in user_input.lower() for kw in ["问题", "question"]):
+                            hint_tool = "list_questions"
                         yield json.dumps({
-                            "type": "auto_tool", "message": "未调工具，自动注入 diagnose_project",
+                            "type": "auto_tool", "message": f"未调工具，自动注入 {hint_tool}",
                         }, ensure_ascii=False) + "\n"
                         self._msgs.append({
                             "role": "assistant",
-                            "content": "已调用 diagnose_project",
+                            "content": f"已调用 {hint_tool}",
                         })
                         self._msgs.append({
                             "role": "user",
-                            "content": "请调用 diagnose_project 查看项目状态",
+                            "content": f"请调用 {hint_tool} 工具，只输出 {{\"action\":\"tool_call\",\"tool\":\"{hint_tool}\",\"params\":{{}}}}",
                         })
-                        continue  # 不退出，继续下一轮
+                        continue
 
                     final_reply = act.get("message", "")
                     yield json.dumps({