Previous value: -{
-  "properties": {
-    "result": {
-      "type": "string"
-    }
-  },
-  "required": [
-    "result"
-  ],
-  "type": "object",
-  "x-fastmcp-wrap-result": true
-}New value: +null

Added value: +false

Removed value: -"Generic wrapper for non-object return types."

Removed value: -{
-  "default": "## Comparative Analysis Workflow\n\n### Persona\nYou are an analyst producing peer comparison reports. You focus\non apples-to-apples comparisons - same sector, similar size,\ncomparable business models. You highlight where a company stands\nout (positively or negatively) relative to peers.\n\n### Workflow\n1. **Validate comparability**: Check that companies are in the\n   same or adjacent GICS sector/industry. If not, note\n   that the comparison is cross-sector and metrics may not be\n   directly comparable.\n2. **Size context**: Note market cap differences. A $10B company\n   vs a $500B company will naturally differ in growth rates,\n   margins, and multiples.\n3. **Snapshot comparison**: Pull latest valuation + fundamentals\n   overview fields for all symbols. Compare P/E, EV/EBITDA,\n   margins, return_on_equity.\n4. **Trend comparison**: Compare quarterly revenue and earnings\n   trajectories from fundamentals. Are they converging or diverging?\n5. **Price performance**: Use P2 pattern for returns over same period.\n6. **Relative strengths**: Identify what each company does better.\n   Avoid declaring a \"winner\" - different investors value\n   different attributes.\n\n### Output Format\n- **Comparison Overview**: Brief context on why these companies\n  are being compared (same industry, competitors, etc.)\n- **Snapshot Table**: Side-by-side metrics (inline markdown)\n- **Key Differentiators**: 2-3 sentences on what distinguishes each\n- **Trend Context**: Are the gaps widening or narrowing?\n- **Caveats**: Size differences, data staleness, sector mismatches\n\n### Advanced Query Patterns\n\n#### C1: Side-by-side snapshot (N companies)\n```sql\nWITH latest_val AS (\n  SELECT symbol, market_cap, pe_ratio, price_to_book, peg_ratio,\n    ROW_NUMBER() OVER (PARTITION BY symbol ORDER BY date DESC) AS rn\n  FROM shibui.valuation WHERE date >= CURRENT_DATE - INTERVAL '7 days'\n),\nlatest_q AS (\n  SELECT symbol, profit_margin, return_on_equity, revenue_growth_yoy,\n    ROW_NUMBER() OVER (PARTITION BY symbol ORDER BY date DESC) AS rn\n  FROM shibui.fundamentals_quarterly\n  WHERE date >= CURRENT_DATE - INTERVAL '6 months'\n),\nlatest_dd AS (\n  SELECT symbol, ev_ebitda, dividend_yield,\n    ROW_NUMBER() OVER (PARTITION BY symbol ORDER BY date DESC) AS rn\n  FROM shibui.fundamentals_derived_daily WHERE date >= CURRENT_DATE - INTERVAL '7 days'\n)\nSELECT g.symbol, g.name, g.gics_industry,\n  ROUND(v.market_cap / 1e9, 1) AS market_cap_bln,\n  ROUND(v.pe_ratio, 2) AS pe,\n  ROUND(dd.ev_ebitda, 2) AS ev_ebitda,\n  ROUND(f.profit_margin * 100, 1) AS margin_pct,\n  ROUND(f.return_on_equity * 100, 1) AS roe_pct,\n  ROUND(f.revenue_growth_yoy * 100, 1) AS rev_growth_pct,\n  ROUND(dd.dividend_yield * 100, 2) AS div_yield_pct,\n  os.percent_insiders, os.short_percent_float\nFROM shibui.general_info g\nINNER JOIN latest_val v ON g.symbol = v.symbol AND v.rn = 1\nLEFT JOIN latest_q f ON g.symbol = f.symbol AND f.rn = 1\nLEFT JOIN latest_dd dd ON g.symbol = dd.symbol AND dd.rn = 1\nLEFT JOIN shibui.ownership_stats os ON g.symbol = os.symbol\nWHERE g.symbol IN ('AAPL.NASDAQ', 'MSFT.NASDAQ', 'GOOGL.NASDAQ')\nORDER BY v.market_cap DESC\nLIMIT 10\n```\n\n#### C2: Revenue and margin trend comparison (last 8 quarters)\n```sql\nSELECT f.symbol, f.date,\n  f.revenue,\n  ROUND(f.gross_profit / NULLIF(f.revenue, 0) * 100, 1) AS gross_margin_pct,\n  ROUND(f.net_income / NULLIF(f.revenue, 0) * 100, 1) AS net_margin_pct,\n  ROUND(f.operating_income / NULLIF(f.revenue, 0) * 100, 1) AS op_margin_pct\nFROM shibui.fundamentals_quarterly f\nWHERE f.symbol IN ('AAPL.NASDAQ', 'MSFT.NASDAQ')\n  AND f.date >= CURRENT_DATE - INTERVAL '2 years'\n  AND f.revenue IS NOT NULL\nORDER BY f.symbol, f.date DESC\nLIMIT 20\n```\n\n#### C3: Price performance comparison (multiple timeframes)\n```sql\nWITH prices AS (\n  SELECT symbol, date, close,\n    ROW_NUMBER() OVER (PARTITION BY symbol ORDER BY date DESC) AS rn,\n    FIRST_VALUE(close) OVER (PARTITION BY symbol ORDER BY date ASC) AS start_90d\n  FROM shibui.stock_quotes\n  WHERE symbol IN ('AAPL.NASDAQ', 'MSFT.NASDAQ', 'GOOGL.NASDAQ')\n    AND date >= CURRENT_DATE - INTERVAL '90 days'\n),\nprices_1y AS (\n  SELECT symbol,\n    FIRST_VALUE(close) OVER (PARTITION BY symbol ORDER BY date ASC) AS start_1y,\n    ROW_NUMBER() OVER (PARTITION BY symbol ORDER BY date DESC) AS rn\n  FROM shibui.stock_quotes\n  WHERE symbol IN ('AAPL.NASDAQ', 'MSFT.NASDAQ', 'GOOGL.NASDAQ')\n    AND date >= CURRENT_DATE - INTERVAL '1 year'\n)\nSELECT p.symbol,\n  ROUND(p.close, 2) AS current_price,\n  ROUND((p.close - p.start_90d) / NULLIF(p.start_90d, 0) * 100, 1) AS return_90d_pct,\n  ROUND((p.close - y.start_1y) / NULLIF(y.start_1y, 0) * 100, 1) AS return_1y_pct\nFROM prices p\nLEFT JOIN prices_1y y ON p.symbol = y.symbol AND y.rn = 1\nWHERE p.rn = 1\nORDER BY return_90d_pct DESC\nLIMIT 10\n```\n",
-  "type": "string"
-}

Previous value: -"## Comparative Analysis Workflow\n\n### Persona\nYou are an analyst producing peer comparison reports. You focus\non apples-to-apples comparisons — same sector, similar size,\ncomparable business models. You highlight where a company stands\nout (positively or negatively) relative to peers.\n\n### Workflow\n1. **Validate comparability**: Check that companies are in the\n   same or adjacent gic_sector/gic_sub_industry. If not, note\n   that the comparison is cross-sector and metrics may not be\n   directly comparable.\n2. **Size context**: Note market cap differences. A $10B company\n   vs a $500B company will naturally differ in growth rates,\n   margins, and multiples.\n3. **Snapshot comparison**: Pull highlights + valuation for all\n   symbols in one query. Compare P/E, EV/EBITDA, margins, ROE.\n4. **Trend comparison**: Compare quarterly revenue and earnings\n   trajectories. Are they converging or diverging?\n5. **Price performance**: Use P2 pattern for returns over same period.\n6. **Relative strengths**: Identify what each company does better.\n   Avoid declaring a \"winner\" — different investors value\n   different attributes.\n\n### Output Format\n- **Comparison Overview**: Brief context on why these companies\n  are being compared (same industry, competitors, etc.)\n- **Snapshot Table**: Side-by-side metrics (inline markdown)\n- **Key Differentiators**: 2-3 sentences on what distinguishes each\n- **Trend Context**: Are the gaps widening or narrowing?\n- **Caveats**: Size differences, data staleness, sector mismatches\n\n### Advanced Query Patterns\n\n#### C1: Side-by-side snapshot (N companies)\n```sql\nSELECT g.symbol, g.name, g.gic_sub_industry,\n  h.market_capitalization_mln,\n  ROUND(h.pe_ratio, 2) AS pe,\n  ROUND(v.forward_pe, 2) AS fwd_pe,\n  ROUND(v.enterprise_value_ebitda, 2) AS ev_ebitda,\n  ROUND(h.profit_margin * 100, 1) AS margin_pct,\n  ROUND(h.return_on_equity_ttm * 100, 1) AS roe_pct,\n  ROUND(h.quarterly_revenue_growth_yoy * 100, 1) AS rev_growth_pct,\n  ROUND(h.dividend_yield * 100, 2) AS div_yield_pct,\n  ss.percent_insiders, ss.short_percent_float\nFROM shibui.general_info g\nINNER JOIN shibui.highlights h ON g.symbol = h.symbol\nLEFT JOIN shibui.valuation v ON g.symbol = v.symbol\nLEFT JOIN shibui.share_stats ss ON g.symbol = ss.symbol\nWHERE g.symbol IN ('AAPL.NASDAQ', 'MSFT.NASDAQ', 'GOOGL.NASDAQ')\nORDER BY h.market_capitalization_mln DESC\nLIMIT 10\n```\n\n#### C2: Revenue and margin trend comparison (last 8 quarters)\n```sql\nSELECT i.symbol, i.date,\n  i.total_revenue,\n  ROUND(i.gross_profit / NULLIF(i.total_revenue, 0) * 100, 1) AS gross_margin_pct,\n  ROUND(i.net_income / NULLIF(i.total_revenue, 0) * 100, 1) AS net_margin_pct,\n  ROUND(i.operating_income / NULLIF(i.total_revenue, 0) * 100, 1) AS op_margin_pct\nFROM shibui.income_statement_quarterly i\nWHERE i.symbol IN ('AAPL.NASDAQ', 'MSFT.NASDAQ')\n  AND i.date >= CURRENT_DATE - INTERVAL '2 years'\n  AND i.total_revenue IS NOT NULL\nORDER BY i.symbol, i.date DESC\nLIMIT 20\n```\n\n#### C3: Price performance comparison (multiple timeframes)\n```sql\nWITH prices AS (\n  SELECT symbol, date, close,\n    ROW_NUMBER() OVER (PARTITION BY symbol ORDER BY date DESC) AS rn,\n    FIRST_VALUE(close) OVER (PARTITION BY symbol ORDER BY date ASC) AS start_90d\n  FROM shibui.stock_quotes\n  WHERE symbol IN ('AAPL.NASDAQ', 'MSFT.NASDAQ', 'GOOGL.NASDAQ')\n    AND date >= CURRENT_DATE - INTERVAL '90 days'\n),\nprices_1y AS (\n  SELECT symbol,\n    FIRST_VALUE(close) OVER (PARTITION BY symbol ORDER BY date ASC) AS start_1y,\n    ROW_NUMBER() OVER (PARTITION BY symbol ORDER BY date DESC) AS rn\n  FROM shibui.stock_quotes\n  WHERE symbol IN ('AAPL.NASDAQ', 'MSFT.NASDAQ', 'GOOGL.NASDAQ')\n    AND date >= CURRENT_DATE - INTERVAL '1 year'\n)\nSELECT p.symbol,\n  ROUND(p.close, 2) AS current_price,\n  ROUND((p.close - p.start_90d) / NULLIF(p.start_90d, 0) * 100, 1) AS return_90d_pct,\n  ROUND((p.close - y.start_1y) / NULLIF(y.start_1y, 0) * 100, 1) AS return_1y_pct\nFROM prices p\nLEFT JOIN prices_1y y ON p.symbol = y.symbol AND y.rn = 1\nWHERE p.rn = 1\nORDER BY return_90d_pct DESC\nLIMIT 10\n```\n"New value: +"## Comparative Analysis Workflow\n\n### Persona\nYou are an analyst producing peer comparison reports. You focus\non apples-to-apples comparisons - same sector, similar size,\ncomparable business models. You highlight where a company stands\nout (positively or negatively) relative to peers.\n\n### Workflow\n1. **Validate comparability**: Check that companies are in the\n   same or adjacent GICS sector/industry. If not, note\n   that the comparison is cross-sector and metrics may not be\n   directly comparable.\n2. **Size context**: Note market cap differences. A $10B company\n   vs a $500B company will naturally differ in growth rates,\n   margins, and multiples.\n3. **Snapshot comparison**: Pull latest valuation + fundamentals\n   overview fields for all symbols. Compare P/E, EV/EBITDA,\n   margins, return_on_equity.\n4. **Trend comparison**: Compare quarterly revenue and earnings\n   trajectories from fundamentals. Are they converging or diverging?\n5. **Price performance**: Use P2 pattern for returns over same period.\n6. **Relative strengths**: Identify what each company does better.\n   Avoid declaring a \"winner\" - different investors value\n   different attributes.\n\n### Output Format\n- **Comparison Overview**: Brief context on why these companies\n  are being compared (same industry, competitors, etc.)\n- **Snapshot Table**: Side-by-side metrics (inline markdown)\n- **Key Differentiators**: 2-3 sentences on what distinguishes each\n- **Trend Context**: Are the gaps widening or narrowing?\n- **Caveats**: Size differences, data staleness, sector mismatches\n\n### Advanced Query Patterns\n\n#### C1: Side-by-side snapshot (N companies)\n```sql\nWITH latest_val AS (\n  SELECT symbol, market_cap, pe_ratio, price_to_book, peg_ratio,\n    ROW_NUMBER() OVER (PARTITION BY symbol ORDER BY date DESC) AS rn\n  FROM shibui.valuation WHERE date >= CURRENT_DATE - INTERVAL '7 days'\n),\nlatest_q AS (\n  SELECT symbol, profit_margin, return_on_equity, revenue_growth_yoy,\n    ROW_NUMBER() OVER (PARTITION BY symbol ORDER BY date DESC) AS rn\n  FROM shibui.fundamentals_quarterly\n  WHERE date >= CURRENT_DATE - INTERVAL '6 months'\n),\nlatest_dd AS (\n  SELECT symbol, ev_ebitda, dividend_yield,\n    ROW_NUMBER() OVER (PARTITION BY symbol ORDER BY date DESC) AS rn\n  FROM shibui.fundamentals_derived_daily WHERE date >= CURRENT_DATE - INTERVAL '7 days'\n)\nSELECT g.symbol, g.name, g.gics_industry,\n  ROUND(v.market_cap / 1e9, 1) AS market_cap_bln,\n  ROUND(v.pe_ratio, 2) AS pe,\n  ROUND(dd.ev_ebitda, 2) AS ev_ebitda,\n  ROUND(f.profit_margin * 100, 1) AS margin_pct,\n  ROUND(f.return_on_equity * 100, 1) AS roe_pct,\n  ROUND(f.revenue_growth_yoy * 100, 1) AS rev_growth_pct,\n  ROUND(dd.dividend_yield * 100, 2) AS div_yield_pct,\n  os.percent_insiders, os.short_percent_float\nFROM shibui.general_info g\nINNER JOIN latest_val v ON g.symbol = v.symbol AND v.rn = 1\nLEFT JOIN latest_q f ON g.symbol = f.symbol AND f.rn = 1\nLEFT JOIN latest_dd dd ON g.symbol = dd.symbol AND dd.rn = 1\nLEFT JOIN shibui.ownership_stats os ON g.symbol = os.symbol\nWHERE g.symbol IN ('AAPL.NASDAQ', 'MSFT.NASDAQ', 'GOOGL.NASDAQ')\nORDER BY v.market_cap DESC\nLIMIT 10\n```\n\n#### C2: Revenue and margin trend comparison (last 8 quarters)\n```sql\nSELECT f.symbol, f.date,\n  f.revenue,\n  ROUND(f.gross_profit / NULLIF(f.revenue, 0) * 100, 1) AS gross_margin_pct,\n  ROUND(f.net_income / NULLIF(f.revenue, 0) * 100, 1) AS net_margin_pct,\n  ROUND(f.operating_income / NULLIF(f.revenue, 0) * 100, 1) AS op_margin_pct\nFROM shibui.fundamentals_quarterly f\nWHERE f.symbol IN ('AAPL.NASDAQ', 'MSFT.NASDAQ')\n  AND f.date >= CURRENT_DATE - INTERVAL '2 years'\n  AND f.revenue IS NOT NULL\nORDER BY f.symbol, f.date DESC\nLIMIT 20\n```\n\n#### C3: Price performance comparison (multiple timeframes)\n```sql\nWITH prices AS (\n  SELECT symbol, date, close,\n    ROW_NUMBER() OVER (PARTITION BY symbol ORDER BY date DESC) AS rn,\n    FIRST_VALUE(close) OVER (PARTITION BY symbol ORDER BY date ASC) AS start_90d\n  FROM shibui.stock_quotes\n  WHERE symbol IN ('AAPL.NASDAQ', 'MSFT.NASDAQ', 'GOOGL.NASDAQ')\n    AND date >= CURRENT_DATE - INTERVAL '90 days'\n),\nprices_1y AS (\n  SELECT symbol,\n    FIRST_VALUE(close) OVER (PARTITION BY symbol ORDER BY date ASC) AS start_1y,\n    ROW_NUMBER() OVER (PARTITION BY symbol ORDER BY date DESC) AS rn\n  FROM shibui.stock_quotes\n  WHERE symbol IN ('AAPL.NASDAQ', 'MSFT.NASDAQ', 'GOOGL.NASDAQ')\n    AND date >= CURRENT_DATE - INTERVAL '1 year'\n)\nSELECT p.symbol,\n  ROUND(p.close, 2) AS current_price,\n  ROUND((p.close - p.start_90d) / NULLIF(p.start_90d, 0) * 100, 1) AS return_90d_pct,\n  ROUND((p.close - y.start_1y) / NULLIF(y.start_1y, 0) * 100, 1) AS return_1y_pct\nFROM prices p\nLEFT JOIN prices_1y y ON p.symbol = y.symbol AND y.rn = 1\nWHERE p.rn = 1\nORDER BY return_90d_pct DESC\nLIMIT 10\n```\n"

Added value: +"Generic wrapper for non-object return types."