```json { "action": "tool_call", "reasoning": "I've already computed correlations for temporal/value columns (engage_date, close_date, close_value) and cross-table measures (revenue, employees, close_value). Now I need to check correlations within the accounts table between revenue and employees more thoroughly, and explore any other numeric columns that might show strong relationships. Let me also check if there are correlations between year_established and revenue/employees in the accounts table.", "tool": "query_sql", "args": { "sql": "SELECT CORR(year_established, revenue) as year_revenue_corr, CORR(year_established, employees) as year_employees_corr, CORR(revenue, employees) as revenue_employees_corr FROM raw.accounts", "purpose": "Calculate correlations between year_established, revenue, and employees within the accounts table", "source": "raw" } } ```