Wire legal-writer to chair directions from analysis-and-research.md

Closes the loop so דפנה's positions (written inline in the UI and
saved to analysis-and-research.md) automatically become binding
direction for the legal-writer agent — no manual copy-paste,
no bypass.

Backend:
- research_md.extract_chair_directions(path) returns a compact dict
  with status (missing/empty/partial/complete), filled_count,
  empty_count, and a reduced list of threshold_claims + issues each
  with {id, number, title, direction}. Designed to be directly usable
  as direction_doc by the writer.
- New MCP tool: drafting.get_chair_directions(case_number) wraps the
  helper, resolves the case research file path via config.find_case_dir,
  returns formatted JSON.
- Registered in server.py as mcp__legal-ai__get_chair_directions.

legal-writer agent update:
- Adds get_chair_directions to the tools list.
- New mandatory "שלב 1ב" before any block writing: call
  get_chair_directions, branch on status.
  - missing → halt, report "legal-analyst לא רץ עדיין"
  - empty → halt, instruct Dafna to fill positions via the UI URL
  - partial → halt unless user confirms; write only filled sections
  - complete → proceed
- New "שלב 1ג" constructs an internal direction_doc from the
  received chair rulings before writing block י.
- Block י section expanded with 5 binding rules:
  1. Open each discussion with Dafna's ruling as the thesis
  2. Frame the reasoning in her style (use get_style_guide phrases)
  3. Match her tone (decisive vs nuanced)
  4. Must NOT contradict her position — if she disagreed with your
     own inclination, her position rules
  5. Use legal_questions from the analysis file as the analytical
     structure (principle question first, concrete application second)
- New bullet section for block יא: summarize each chair ruling
  briefly, state final outcome, close with the signed date formula.

Verified all four status paths (missing/empty/partial/complete) via
local test. Now Dafna's workflow is fully end-to-end: she reads the
analyst report in the UI, fills "עמדת ועדת הערר" in each card, hits
blur to auto-save, then triggers legal-writer — which picks up her
positions as direction without any file shuffle.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

mcp-server/src/legal_mcp/tools/drafting.py

@@ -3,9 +3,11 @@
 from __future__ import annotations
 
 import json
+from pathlib import Path
 from uuid import UUID
 
-from legal_mcp.services import db, embeddings
+from legal_mcp import config
+from legal_mcp.services import db, embeddings, research_md
 from legal_mcp.services.lessons import (
     CITATION_GUIDANCE,
     DECISION_TEMPLATES,
@@ -279,6 +281,32 @@ async def draft_section(
     return json.dumps(context, ensure_ascii=False, indent=2)
 
 
+async def get_chair_directions(case_number: str) -> str:
+    """שליפת עמדות יו"ר הוועדה (דפנה) על סוגיות הערר, לצורך יצירת direction_doc
+    לכותב. קורא מ-analysis-and-research.md (שנוצר ע"י legal-analyst ומולא ע"י
+    דפנה דרך ה-UI).
+
+    מחזיר JSON עם סטטוס, כמה סוגיות מולאו וכמה עדיין ריקות, ורשימה של עמדות
+    מובנות — ניתן להזריק ישירות כ-direction_doc לבלוק י (דיון) ולבלוק יא (סיכום).
+
+    סטטוסים:
+      missing  — הקובץ לא קיים
+      empty    — הקובץ קיים אבל כל העמדות ריקות (טרם נקבעה דעה)
+      partial  — חלק מהעמדות מולאו
+      complete — כל העמדות מולאו
+
+    אם המצב הוא `empty` או `missing` — הכותב צריך לעצור ולבקש מדפנה למלא
+    את הקובץ דרך ה-UI לפני המשך הכתיבה.
+
+    Args:
+        case_number: מספר תיק הערר
+    """
+    case_dir = config.find_case_dir(case_number)
+    file_path = case_dir / "documents" / "research" / "analysis-and-research.md"
+    result = research_md.extract_chair_directions(file_path)
+    return json.dumps(result, ensure_ascii=False, indent=2)
+
+
 async def get_decision_template(case_number: str) -> str:
     """קבלת תבנית מבנית להחלטה מלאה עם פרטי התיק, מותאמת לסוג התוצאה הצפויה.