{
    "action": "tool_call",
    "reasoning": "My previous reply stated correlations without a tool result in evidence, so I need to compute them. I'll parse the text-typed numeric columns with TRY_CAST and compute the pairwise correlations in one query.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH p AS (SELECT TRY_CAST(REPLACE(REPLACE(Monthly_AI_Cost,'$',''),',','') AS DOUBLE) AS cost, TRY_CAST(REPLACE(REPLACE(Monthly_Income,'$',''),',','') AS DOUBLE) AS income, TRY_CAST(AI_Usage_Hours_Per_Day AS DOUBLE) AS usage_hrs, TRY_CAST(Time_Saved_Hours_Per_Week AS DOUBLE) AS saved, TRY_CAST(Age AS DOUBLE) AS age, Productivity_Score AS prod, Satisfaction_Score AS sat, Accuracy_Rating AS acc FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals) SELECT COUNT(*) AS n_rows, COUNT(cost) AS n_cost, COUNT(usage_hrs) AS n_usage, COUNT(saved) AS n_saved, corr(cost,prod) AS cost_prod, corr(cost,sat) AS cost_sat, corr(cost,acc) AS cost_acc, corr(cost,saved) AS cost_saved, corr(cost,income) AS cost_income, corr(usage_hrs,saved) AS usage_saved, corr(usage_hrs,prod) AS usage_prod, corr(usage_hrs,sat) AS usage_sat, corr(saved,prod) AS saved_prod, corr(prod,sat) AS prod_sat, corr(age,prod) AS age_prod, corr(acc,prod) AS acc_prod, corr(acc,sat) AS acc_sat, SUM(CASE WHEN cost=0 THEN 1 ELSE 0 END) AS n_free FROM p",
        "purpose": "Compute pairwise correlations between cost, usage, and outcome measures after parsing text columns",
        "source": "raw"
    }
}