Add: Return outlier deals in analysis responses

Feature:
- New parameter `include_outlier_deals` (default=True) in:  - filter_deals_for_analysis()
  - calculate_deal_statistics()
  - get_valuation_comparables() MCP tool
  - get_deal_statistics() MCP tool

Behavior:
- When ON: response includes `outlier_deals` field with removed deals
- LLM can see what was filtered out, answer questions about it
- Maintains full transparency on outlier removal

Terminology fixed:
- "outlier_deals" = deals removed as outliers (clearer than "filtered_deals")
- "filtered deals" = deals that PASSED filtering
- Added to OutlierReport model

All 311 tests pass

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

nadlan_mcp/govmap/models.py

@@ -196,6 +196,7 @@ class OutlierReport(BaseModel):
         outlier_indices: Indices of removed deals in original list
         method_used: Outlier detection method ("iqr", "percent", "none")
         parameters: Configuration parameters used for detection
+        filtered_deals: The actual deals that were filtered out (optional)
     """
 
     total_deals: int = Field(..., description="Total deals before filtering")
@@ -205,6 +206,9 @@ class OutlierReport(BaseModel):
     parameters: Dict[str, Any] = Field(
         default_factory=dict, description="Detection parameters used"
     )
+    outlier_deals: Optional[List["Deal"]] = Field(
+        None, description="Deals that were removed as outliers (if requested)"
+    )
 
 
 class DealStatistics(BaseModel):