{
    "action": "tool_call",
    "reasoning": "The user is asking for the 3 most interesting analytical questions this dataset could answer. I need to first understand what data is actually available by examining the columns and their values. The card shows columns like Day, Total Calls, AI Handled, Human Handled, Voicemail, and AI Resolution %, but they're all VARCHAR type which suggests they may need cleaning. I should query the data to see what's actually there and understand the temporal coverage and value distributions.",
    "tool": "query_sql",
    "sql": "SELECT Day, Total Calls, AI Handled, Human Handled, Voicemail, AI Resolution %, Human %, COUNT(*) as row_count FROM raw.callyeah_analytics_2026_07_23 GROUP BY Day, Total Calls, AI Handled, Human Handled, Voicemail, AI Resolution %, Human % ORDER BY Day LIMIT 50",
    "purpose": "Understand the actual data structure, temporal coverage, and value patterns to identify interesting analytical questions",
    "source": "raw"
}