Add: Decisive appraiser (שמאי מכריע) search via gov.il public API

Adds a new MCP tool `search_decisive_appraisals` that queries the
Ministry of Justice public registry (~30K published decisions) by
block (גוש), plot (חלקה), appraiser name, committee, decision/publicity
date ranges, or free text — and returns metadata + direct PDF URLs.

Implementation notes:
- New `nadlan_mcp/govil/` package, parallel to `nadlan_mcp/govmap/`,
  for gov.il APIs that are not Govmap. Pydantic v2 models match the
  upstream PascalCase response via aliases.
- Upstream sits behind an F5 WAF that rejects standard `requests`;
  uses `curl_cffi` with Chrome 120 impersonation to traverse it.
- Static `x-client-id` header (issued to the gov.il SPA, public, visible
  in any DevTools session) is required by the gateway — without it
  every call returns a generic 500.
- 14 unit tests cover model parsing, body shape, pagination, and the
  500-is-fatal contract (configuration error, not retryable).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

nadlan_mcp/config.py

@@ -69,8 +69,9 @@ class GovmapConfig:
 
     # Percentage-based backup filtering (catches extreme outliers in heterogeneous data)
     analysis_use_percentage_backup: bool = field(
-        default_factory=lambda: os.getenv("ANALYSIS_USE_PERCENTAGE_BACKUP", "true").lower()
-        == "true"
+        default_factory=lambda: (
+            os.getenv("ANALYSIS_USE_PERCENTAGE_BACKUP", "true").lower() == "true"
+        )
     )
     analysis_percentage_threshold: float = field(
         default_factory=lambda: float(os.getenv("ANALYSIS_PERCENTAGE_THRESHOLD", "0.4"))
@@ -91,8 +92,9 @@ class GovmapConfig:
 
     # Statistical Robustness (for investment analysis)
     analysis_use_robust_volatility: bool = field(
-        default_factory=lambda: os.getenv("ANALYSIS_USE_ROBUST_VOLATILITY", "true").lower()
-        == "true"
+        default_factory=lambda: (
+            os.getenv("ANALYSIS_USE_ROBUST_VOLATILITY", "true").lower() == "true"
+        )
     )
     analysis_use_robust_trends: bool = field(
         default_factory=lambda: os.getenv("ANALYSIS_USE_ROBUST_TRENDS", "true").lower() == "true"
@@ -100,8 +102,9 @@ class GovmapConfig:
 
     # Reporting
     analysis_include_unfiltered_stats: bool = field(
-        default_factory=lambda: os.getenv("ANALYSIS_INCLUDE_UNFILTERED_STATS", "true").lower()
-        == "true"
+        default_factory=lambda: (
+            os.getenv("ANALYSIS_INCLUDE_UNFILTERED_STATS", "true").lower() == "true"
+        )
     )
 
     # Distance Filtering for Deal Relevance
@@ -119,48 +122,59 @@ class GovmapConfig:
 
     # MCP Tool Availability (enable/disable specific tools)
     tool_autocomplete_address_enabled: bool = field(
-        default_factory=lambda: os.getenv("TOOL_AUTOCOMPLETE_ADDRESS_ENABLED", "true").lower()
-        == "true"
+        default_factory=lambda: (
+            os.getenv("TOOL_AUTOCOMPLETE_ADDRESS_ENABLED", "true").lower() == "true"
+        )
     )
     tool_get_deals_by_radius_enabled: bool = field(
-        default_factory=lambda: os.getenv("TOOL_GET_DEALS_BY_RADIUS_ENABLED", "false").lower()
-        == "true"
+        default_factory=lambda: (
+            os.getenv("TOOL_GET_DEALS_BY_RADIUS_ENABLED", "false").lower() == "true"
+        )
     )
     tool_get_street_deals_enabled: bool = field(
-        default_factory=lambda: os.getenv("TOOL_GET_STREET_DEALS_ENABLED", "false").lower()
-        == "true"
+        default_factory=lambda: (
+            os.getenv("TOOL_GET_STREET_DEALS_ENABLED", "false").lower() == "true"
+        )
     )
     tool_get_neighborhood_deals_enabled: bool = field(
-        default_factory=lambda: os.getenv("TOOL_GET_NEIGHBORHOOD_DEALS_ENABLED", "true").lower()
-        == "true"
+        default_factory=lambda: (
+            os.getenv("TOOL_GET_NEIGHBORHOOD_DEALS_ENABLED", "true").lower() == "true"
+        )
     )
     tool_find_recent_deals_for_address_enabled: bool = field(
-        default_factory=lambda: os.getenv(
-            "TOOL_FIND_RECENT_DEALS_FOR_ADDRESS_ENABLED", "true"
-        ).lower()
-        == "true"
+        default_factory=lambda: (
+            os.getenv("TOOL_FIND_RECENT_DEALS_FOR_ADDRESS_ENABLED", "true").lower() == "true"
+        )
     )
     tool_analyze_market_trends_enabled: bool = field(
-        default_factory=lambda: os.getenv("TOOL_ANALYZE_MARKET_TRENDS_ENABLED", "true").lower()
-        == "true"
+        default_factory=lambda: (
+            os.getenv("TOOL_ANALYZE_MARKET_TRENDS_ENABLED", "true").lower() == "true"
+        )
     )
     tool_compare_addresses_enabled: bool = field(
-        default_factory=lambda: os.getenv("TOOL_COMPARE_ADDRESSES_ENABLED", "true").lower()
-        == "true"
+        default_factory=lambda: (
+            os.getenv("TOOL_COMPARE_ADDRESSES_ENABLED", "true").lower() == "true"
+        )
     )
     tool_get_valuation_comparables_enabled: bool = field(
-        default_factory=lambda: os.getenv("TOOL_GET_VALUATION_COMPARABLES_ENABLED", "true").lower()
-        == "true"
+        default_factory=lambda: (
+            os.getenv("TOOL_GET_VALUATION_COMPARABLES_ENABLED", "true").lower() == "true"
+        )
     )
     tool_get_deal_statistics_enabled: bool = field(
-        default_factory=lambda: os.getenv("TOOL_GET_DEAL_STATISTICS_ENABLED", "true").lower()
-        == "true"
+        default_factory=lambda: (
+            os.getenv("TOOL_GET_DEAL_STATISTICS_ENABLED", "true").lower() == "true"
+        )
     )
     tool_get_market_activity_metrics_enabled: bool = field(
-        default_factory=lambda: os.getenv(
-            "TOOL_GET_MARKET_ACTIVITY_METRICS_ENABLED", "false"
-        ).lower()
-        == "true"
+        default_factory=lambda: (
+            os.getenv("TOOL_GET_MARKET_ACTIVITY_METRICS_ENABLED", "false").lower() == "true"
+        )
+    )
+    tool_search_decisive_appraisals_enabled: bool = field(
+        default_factory=lambda: (
+            os.getenv("TOOL_SEARCH_DECISIVE_APPRAISALS_ENABLED", "true").lower() == "true"
+        )
     )
 
     def __post_init__(self):