From 8119592f21de6095945da0e9ec7f6954d114c676 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Torbj=C3=B8rn=20Lindahl?= Date: Fri, 2 Jan 2026 15:01:32 +0100 Subject: [PATCH] cleaned up skills and documented a problem --- .../{ => norwegian-legal-research}/SKILL.md | 0 .../{ => norwegian-legal-research}/TESTING.md | 0 MCP_SERVER_TESTING.md | 205 ++++++++++++++++++ 3 files changed, 205 insertions(+) rename .claude/skills/{ => norwegian-legal-research}/SKILL.md (100%) rename .claude/skills/{ => norwegian-legal-research}/TESTING.md (100%) create mode 100644 MCP_SERVER_TESTING.md diff --git a/.claude/skills/SKILL.md b/.claude/skills/norwegian-legal-research/SKILL.md similarity index 100% rename from .claude/skills/SKILL.md rename to .claude/skills/norwegian-legal-research/SKILL.md diff --git a/.claude/skills/TESTING.md b/.claude/skills/norwegian-legal-research/TESTING.md similarity index 100% rename from .claude/skills/TESTING.md rename to .claude/skills/norwegian-legal-research/TESTING.md diff --git a/MCP_SERVER_TESTING.md b/MCP_SERVER_TESTING.md new file mode 100644 index 0000000..2585c15 --- /dev/null +++ b/MCP_SERVER_TESTING.md @@ -0,0 +1,205 @@ +# MCP Server Testing Guide + +This guide shows how to test-run the MCP server developed in `~/git/lovdata-ai`. + +## Server Status ✅ + +The MCP server is fully operational: +- Database connected (lovdata-test) +- 769 laws, 20,254 provisions loaded +- All core functionality working + +## Testing Methods + +### 1. Health Check (Recommended for Verification) + +```bash +cd ~/git/lovdata-ai/python/lovdata-mcp +source .venv/bin/activate +PGDATABASE=lovdata-test python -c " +import asyncio +from lovdata_mcp.database import initialize_connection_pool +from lovdata_mcp.server import _health_check + +async def test(): + await initialize_connection_pool() + result = await _health_check() + print('Status:', result) + +asyncio.run(test()) +" +``` + +Expected output: +``` +✅ Health check passed +Result: {'status': 'healthy', 'database': 'connected', 'laws': 769, 'provisions': 20254, 'provisions_with_embeddings': 0} +``` + +### 2. Run MCP Server (STDIO Mode) + +```bash +cd ~/git/lovdata-ai/python/lovdata-mcp +source .venv/bin/activate +PGDATABASE=lovdata-test python -m lovdata_mcp.server +``` + +### 3. Run HTTP Server + +```bash +cd ~/git/lovdata-ai/python/lovdata-mcp +source .venv/bin/activate +PGDATABASE=lovdata-test uvicorn lovdata_mcp.http_server:create_app --reload +``` + +API will be available at `http://localhost:8000` + +### 4. Via Quint (Configured in .mcp.json) + +```bash +cd ~/git/lovdata-ai +~/.local/bin/quint-code serve +``` + +### 5. Run Unit Tests + +```bash +cd ~/git/lovdata-ai/python/lovdata-mcp +source .venv/bin/activate +python -m pytest tests/ -v +``` + +## Environment Setup + +- **Database**: `PGDATABASE=lovdata-test` (test database available) +- **Virtual Environment**: `source .venv/bin/activate` +- **Working Directory**: `~/git/lovdata-ai/python/lovdata-mcp` + +## Available MCP Tools + +The server provides these tools for Norwegian legal document retrieval: + +- `get_law` - Retrieve law by slug/doc_id +- `get_provision` - Get single provision by ID +- `get_provisions_batch` - Batch retrieve multiple provisions +- `list_provisions` - List provisions with pagination +- `search_provisions_fts` - Full-text search (Norwegian) +- `search_provisions_vector` - Vector similarity search +- `health_check` - Database connectivity check + +## Example Usage + +Once running, you can test with MCP clients like Claude Desktop or custom scripts that connect via STDIO or HTTP. + +--- + +# Testing Findings: Health Register Research Task + +## Task Context +Research task: Identify Norwegian health registers with conflicting purpose clauses that make data consolidation difficult for the Norwegian Institute of Public Health (FHI). + +## Key Gaps Identified + +### 1. Missing Structured Gazette Provisions for Health Register Regulations + +**Problem**: Health register regulations (forskrifter) are indexed as `gazette_documents` but their individual provisions are not parsed into the `gazette_provisions` table. + +**Specific cases**: +- Kreftregisterforskriften (SF/forskrift/2001-12-21-1477) +- Medisinsk fødselsregisterforskriften (SF/forskrift/2001-12-21-1483) +- Dødsårsaksregisterforskriften (SF/forskrift/2001-12-21-1476) +- Norsk pasientregisterforskriften (SF/forskrift/2007-12-07-1389) +- MSIS-forskriften (SF/forskrift/2003-06-20-740) + +**Impact**: +- Cannot search for specific sections (e.g., § 1-1 on purpose/formål) within these regulations +- `search_gazette_provisions_fts()` returns zero results when filtering by these doc_ids +- Forces workarounds like: + - Using WebFetch to scrape Lovdata.no (blocked by user in this session) + - Relying only on parent law (helseregisterloven) rather than specific regulations + - Manual knowledge of regulation contents + +**Expected behavior**: +Should be able to search for provisions like: +```python +search_gazette_provisions_fts( + query_text="§ 1-1 formål", + law_doc_ids=["SF/forskrift/2001-12-21-1477"] +) +``` + +And retrieve the structured purpose clause text. + +### 2. Limited Search Capabilities for Regulation Content + +**Problem**: The current MCP tools don't provide a way to: +- List all provisions within a specific regulation +- Navigate the hierarchical structure of a regulation (chapters, sections, paragraphs) +- Get a "table of contents" view of a regulation + +**Current workaround**: +- Must know exact search terms +- Vector search helps but is imprecise for finding specific structural elements + +**Suggested enhancement**: +Add a tool like `list_provisions_by_regulation(doc_id)` that returns the hierarchical structure. + +### 3. Unclear Distinction Between Provisions and Gazette Provisions + +**Observation**: +- `provisions` table: Contains law (lov) provisions - works well +- `gazette_provisions` table: Should contain regulation (forskrift) provisions - often empty/incomplete +- `search_all_provisions_*` functions search both, but it's not always clear which source returned results + +**Suggestion**: +Better documentation or response metadata indicating: +- Which table the result came from +- Whether a regulation has been fully parsed or is just a document stub + +## Recommendations + +### High Priority +1. **Parse health register regulations into gazette_provisions** - These are critical legal documents for health data governance research +2. **Add bulk import for similar regulation families** - Many regulations under same parent law likely have same issue + +### Medium Priority +3. **Add hierarchical navigation tools** - Help users explore regulation structure +4. **Improve search result metadata** - Clearly indicate source table and completeness + +### Low Priority +5. **Add provision counting** - Quick check: "This regulation has 45 structured provisions" vs "This regulation is unparsed" + +## Test Queries That Failed + +```python +# All returned 0 results despite regulations existing in gazette_documents: +search_gazette_provisions_fts( + query_text="formål", + law_doc_ids=["SF/forskrift/2001-12-21-1477"] +) + +search_gazette_provisions_fts( + query_text="Kreftregisteret", + law_doc_ids=["SF/forskrift/2001-12-21-1477"] +) + +search_gazette_provisions_vector( + query_text="Kreftregisteret har til formål", + law_doc_ids=["SF/forskrift/2001-12-21-1477"] +) +``` + +## Successful Workarounds Used + +1. ✅ Searched in parent law (helseregisterloven) provisions table instead +2. ✅ Used helseregisterloven § 11 which lists all registers by name +3. ✅ Applied legal reasoning based on statutory framework rather than specific regulation text +4. ❌ Attempted WebFetch to lovdata.no (rejected by user) +5. ❌ Attempted direct PostgreSQL access (authentication failed) + +## Conclusion + +The Lovdata MCP server works well for **laws (lover)** but has significant gaps for **regulations (forskrifter)**. For legal research requiring detailed regulation analysis, the missing gazette_provisions data is a critical limitation. + +**Severity**: High for regulatory compliance and governance research +**Affected domains**: Health law, environmental regulations, sector-specific rules where detailed regulation text is essential