Lab 21 執行結果日誌 (Logs)#

本檔案記錄了 Lab21_mcp_leads_sync.py 結合本地 Mock Stdio MCP 服務進行資料同步與 Slack 通知，最終獲得 Pydantic 結構化 JSON 輸出的完整 Thoughts 思考鏈與 Terminal 輸出成果。

📋 執行指令#

python events/notes/wuulong-notes-blog/content/kb/antigravity-practice/Lab21_mcp_leads_sync.py

🖥️ 完整執行輸出日誌#

🚀 [Lab 21] 正在啟動 Agent 並載入本地 Stdio MCP 服務...

💡 [1. 使用者需求] 請幫我將以下今天的潛在客戶 Leads 資料同步到試算表，並在 #marketing 頻道通知團隊成員：
1. Name: 林小明, Email: xiaoming@example.com, Source: Google Ads
2. Name: 陳大華, Email: dahua@example.com, Source: Facebook Referral

🧠 ======= Agent 思考、工具調用與規劃軌跡 =======
[Thinking] **Synchronizing Leads Data**
I'm currently focused on synchronizing lead data provided by the user. I've identified the need to integrate specific lead information, including names, email addresses, and source details. I am currently reviewing steps that will ensure the seamless transfer of two examples provided, and will soon address the broader implications of these methods.

[Thinking] **Defining the Leads Structure**
I've clarified the input structure for `sync_leads_data`. It expects a list of leads, each with a `name`, `email`, and `source` field. I have a test data set, including a lead from Google Ads, ready to go.

[Thinking] **Executing the Notification**
I've successfully synced two lead records! My next task is responding to the customer's request to notify the team via the #marketing channel. I will now invoke the `send_slack_notification` function with the specified channel and a success message for the team.

[Thinking] **Confirming Task Completion**
I've confirmed the notification's successful dispatch. Now, I'm shifting focus to the `finish` tool. Its definition indicates this function concludes interactions, triggered only when task confidence is absolute. I'm carefully reviewing its usage context to ensure optimal application, especially with relation to task completion in the flow.

[Thinking] **Refining Tool Utilization**
I've determined the `finish` tool aligns perfectly with the specified response schema. I can now confidently invoke it. Specifically, I'll pass parameters to indicate successful sync with `sync_status` set to "SUCCESS" and `synced_count` as 2. This represents a streamlined conclusion to the current task.

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📝 ======= Agent 最終結構化 JSON 輸出 =======
{
  "notification_sent": true,
  "summary_report": "【同步與通知摘要報告】\n- 同步狀態：成功\n- 成功同步筆數：2 筆\n  1. 林小明 (Email: xiaoming@example.com, 來源: Google Ads)\n  2. 陳大華 (Email: dahua@example.com, 來源: Facebook Referral)\n- Slack 通知：已成功發送到 #marketing 頻道。",
  "sync_status": "SUCCESS",
  "synced_count": 2
}
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