{
    "action": "tool_call",
    "reasoning": "The table_correlations table contains correlation matrices stored as JSON in the matrix_json column, with corresponding column names in columns_json. I need to parse these JSON structures to extract individual correlation coefficients and identify the strongest correlations. I'll write SQL to unnest the JSON arrays and find the top correlations, excluding self-correlations (where correlation = 1.0).",
    "tool": "query_sql",
    "purpose": "Extract and rank the strongest correlations from the correlation matrices",
    "args": {
        "sql": "WITH parsed AS (SELECT dataset_id, tables_catalog_id, method, columns_json, matrix_json, json_array_length(columns_json) as num_cols FROM raw.table_correlations), correlations AS (SELECT p.dataset_id, p.tables_catalog_id, json_extract_string(p.columns_json, CAST(i.i AS VARCHAR)) as col1, json_extract_string(p.columns_json, CAST(j.j AS VARCHAR)) as col2, CAST(json_extract_string(json_extract_string(p.matrix_json, CAST(i.i AS VARCHAR)), CAST(j.j AS VARCHAR)) AS DOUBLE) as correlation FROM parsed p CROSS JOIN (SELECT unnest(generate_series(0, 54)) as i) i CROSS JOIN (SELECT unnest(generate_series(0, 54)) as j) j WHERE i.i < p.num_cols AND j.j < p.num_cols AND i.i < j.j) SELECT col1, col2, correlation, COUNT(*) as occurrences FROM correlations WHERE correlation IS NOT NULL AND ABS(correlation) > 0.5 GROUP BY col1, col2, correlation ORDER BY ABS(correlation) DESC, occurrences DESC LIMIT 50",
        "source": "raw"
    }
}