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/govil/models.py

@@ -0,0 +1,63 @@
+"""
+Pydantic models for the Ministry of Justice "Decisive Appraiser" API.
+
+The upstream API at pub-justice.openapi.gov.il returns decisions in a
+nested wrapper:
+
+    {"Results": [{"Data": {...decision fields...}}, ...],
+     "TotalResults": 30398, "Status": ..., "message": ...}
+
+These models flatten the wrapper for ergonomic use, while preserving the
+original Hebrew field labels via aliases.
+"""
+
+from datetime import datetime
+from typing import Any, Dict, List, Optional
+
+from pydantic import BaseModel, ConfigDict, Field
+
+
+class AppraisalDocument(BaseModel):
+    """A single PDF attached to an appraisal decision."""
+
+    model_config = ConfigDict(populate_by_name=True, extra="ignore")
+
+    file_url: str = Field(alias="FileName")
+    display_name: Optional[str] = Field(default=None, alias="DisplayName")
+    extension: Optional[str] = Field(default=None, alias="Extension")
+
+
+class AppraisalDecision(BaseModel):
+    """
+    One published decision by a certified decisive appraiser (שמאי מכריע).
+
+    Field names are snake_case in Python; aliases match the upstream
+    PascalCase JSON keys so the model can be constructed from a raw API
+    payload via `AppraisalDecision.model_validate(data)`.
+    """
+
+    model_config = ConfigDict(populate_by_name=True, extra="ignore")
+
+    appraisal_header: Optional[str] = Field(default=None, alias="AppraisalHeader")
+    appraisal_type: Optional[str] = Field(default=None, alias="AppraisalType")
+    appraisal_version: Optional[str] = Field(default=None, alias="AppraisalVersion")
+    decisive_appraiser: Optional[str] = Field(default=None, alias="DecisiveAppraiser")
+    appraiser_type: Optional[str] = Field(default=None, alias="AppraiserType")
+    block: Optional[str] = Field(default=None, alias="Block")
+    plot: Optional[str] = Field(default=None, alias="Plot")
+    committee: Optional[str] = Field(default=None, alias="Committee")
+    decision_date: Optional[datetime] = Field(default=None, alias="DecisionDate")
+    publicity_date: Optional[datetime] = Field(default=None, alias="PublicityDate")
+    documents: List[AppraisalDocument] = Field(default_factory=list, alias="Document")
+    doc_summary: Dict[str, Any] = Field(default_factory=dict, alias="DocSummary")
+
+
+class DecisiveAppraiserSearchResponse(BaseModel):
+    """Top-level wrapper of the SearchDecisions endpoint."""
+
+    model_config = ConfigDict(populate_by_name=True, extra="ignore")
+
+    total_results: int = Field(default=0, alias="TotalResults")
+    results: List[AppraisalDecision] = Field(default_factory=list)
+    status: Optional[Any] = Field(default=None, alias="Status")
+    message: Optional[Any] = Field(default=None)