Add provision_share orchestration tool for end-to-end workflow

New Features:
- provision_share tool: One-step share provisioning that orchestrates:
  * Creates Databricks Delta share
  * Adds tables to the share
  * Grants to configured recipient
  * Registers with SAP BDC
- Comprehensive error handling with step-by-step progress
- Idempotent operation - safe to retry
- Clear recovery guidance if any step fails

Implementation:
- Added workspace_client and recipient_name properties to BDCClientManager
- New tool with 6 parameters (share_name, tables, ord_metadata, comment, auto_grant, skip_if_exists)
- Detailed README documentation with examples
- Test script demonstrating the complete workflow

Benefits:
- Single command replaces 4 manual steps
- Reduces errors from incorrect workflow sequence
- Provides visibility into each operation
- Addresses user feedback for better workflow orchestration

This implements the 'Unified Share Management' concept but at the
MCP tool level rather than requiring SAP SDK changes.

Author: MarioDeFelipe

MCP_SERVER_IMPROVEMENT_SUGGESTIONS.md

@@ -0,0 +1,361 @@
+# SAP BDC MCP Server - Improvement Suggestions
+
+## 🎯 Executive Summary
+
+After comprehensive testing and validation of the SAP BDC MCP Server, including real-world integration with Databricks and SAP BDC Connect, here are key suggestions for enhancing the MCP server and its documentation.
+
+## ✅ What's Working Excellently
+
+- **Authentication Integration**: OAuth with SAP BDC Connect works flawlessly
+- **MCP Protocol Implementation**: All 5 tools are properly implemented and functional
+- **Error Handling**: Comprehensive error messages with actionable guidance
+- **Real API Integration**: Successfully integrates with actual SAP BDC Connect SDK
+- **LocalDatabricksClient**: Brilliant solution for bypassing dbutils requirement
+
+## 🚀 Priority Improvements
+
+### 1. **Enhanced Documentation & Examples**
+
+#### **Add Real-World Usage Examples**
+```markdown
+## Real-World Usage Examples
+
+### Example 1: Creating a Share with Sample Data
+```python
+# Create share with comprehensive ORD metadata
+await call_tool(
+    name="create_or_update_share",
+    arguments={
+        "share_name": "customer_analytics_share",
+        "ord_metadata": {
+            "title": "Customer Analytics Data Share",
+            "description": "Production customer data for analytics and reporting",
+            "version": "1.0.0",
+            "tags": ["customer-data", "analytics", "production"],
+            "dataProducts": [
+                {
+                    "name": "Customer Master Data",
+                    "description": "Core customer information and segments"
+                }
+            ]
+        },
+        "tables": ["prod.customers.master_data"]
+    }
+)
+```
+
+### Example 2: Proper CSN Schema Format
+```python
+# CSN schemas must use schema.table naming convention
+csn_schema = {
+    "definitions": {
+        "analytics.customer_data": {  # Must be schema.table format
+            "kind": "entity",
+            "elements": {
+                "customer_id": {"type": "cds.Integer", "key": True},
+                "name": {"type": "cds.String", "length": 255}
+            }
+        }
+    }
+}
+```
+```
+
+#### **Add Troubleshooting Guide**
+```markdown
+## Common Issues & Solutions
+
+### Issue: "Share does not have ORD Annotations" when publishing
+**Solution**: Ensure you've called `create_or_update_share` with ORD metadata before publishing:
+```python
+# First apply ORD metadata
+await create_or_update_share(share_name="my_share", ord_metadata={...})
+# Then publish
+await publish_data_product(share_name="my_share")
+```
+
+### Issue: "PERMISSION_DENIED: Share not granted to recipient"
+**Solution**: Grant the share to your BDC Connect recipient first:
+```sql
+GRANT SELECT ON SHARE my_share TO RECIPIENT `your-recipient-name`
+```
+
+### Issue: "Invalid CSN document: expected format is: <schema>.<table>"
+**Solution**: Use proper naming convention in CSN definitions:
+```python
+# ❌ Wrong
+"definitions": {"my_table": {...}}
+# ✅ Correct  
+"definitions": {"my_schema.my_table": {...}}
+```
+```
+
+### 2. **Enhanced MCP Tool Descriptions**
+
+#### **Current vs. Improved Tool Descriptions**
+
+**Current**: "Create or update a share for data distribution in SAP BDC"
+
+**Improved**: 
+```json
+{
+    "name": "create_or_update_share",
+    "description": "Create or update a Delta share with SAP BDC Connect ORD metadata. This tool applies Open Resource Discovery (ORD) annotations to make shares discoverable and compliant with SAP standards. Use this BEFORE publishing data products.",
+    "examples": [
+        {
+            "scenario": "Create production share",
+            "arguments": {
+                "share_name": "prod_customer_data",
+                "ord_metadata": {
+                    "title": "Production Customer Data",
+                    "description": "Live customer data for analytics",
+                    "version": "1.0.0"
+                }
+            }
+        }
+    ],
+    "prerequisites": [
+        "Share must exist in Databricks",
+        "Share must be granted to BDC Connect recipient",
+        "Valid ORD metadata structure required"
+    ]
+}
+```
+
+### 3. **Add Validation & Helper Tools**
+
+#### **New Tool: validate_share_readiness**
+```python
+Tool(
+    name="validate_share_readiness",
+    description="Validate that a share is ready for BDC Connect operations. Checks permissions, structure, and prerequisites.",
+    inputSchema={
+        "type": "object",
+        "properties": {
+            "share_name": {"type": "string", "description": "Name of share to validate"}
+        },
+        "required": ["share_name"]
+    }
+)
+```
+
+#### **New Tool: list_bdc_shares**
+```python
+Tool(
+    name="list_bdc_shares", 
+    description="List all shares managed by BDC Connect with their status and metadata.",
+    inputSchema={
+        "type": "object",
+        "properties": {
+            "include_metadata": {"type": "boolean", "default": False}
+        }
+    }
+)
+```
+
+### 4. **Improved Error Messages**
+
+#### **Current vs. Enhanced Error Handling**
+
+**Current**: Generic error passthrough from API
+
+**Enhanced**: Contextual error interpretation
+```python
+def interpret_bdc_error(error_response):
+    """Provide actionable guidance for common BDC Connect errors."""
+    error_code = error_response.get('error_code')
+    message = error_response.get('message', '')
+    
+    if 'PERMISSION_DENIED' in message and 'not granted to recipient' in message:
+        return {
+            "error": error_response,
+            "guidance": "Share needs to be granted to BDC Connect recipient first",
+            "solution": f"Run: GRANT SELECT ON SHARE {share_name} TO RECIPIENT `{recipient_name}`",
+            "documentation": "https://docs.databricks.com/data-sharing/share-data.html"
+        }
+    elif 'does not have ORD Annotations' in message:
+        return {
+            "error": error_response,
+            "guidance": "Share needs ORD metadata before publishing",
+            "solution": "Call create_or_update_share with ord_metadata first",
+            "next_steps": ["Apply ORD metadata", "Then retry publish_data_product"]
+        }
+    # ... more error interpretations
+```
+
+### 5. **Configuration Enhancements**
+
+#### **Add Environment Detection**
+```python
+def detect_environment():
+    """Auto-detect if running in Databricks notebook vs local development."""
+    if 'DATABRICKS_RUNTIME_VERSION' in os.environ:
+        return 'databricks_notebook'
+    elif 'DATABRICKS_HOST' in os.environ:
+        return 'local_development'
+    else:
+        return 'unknown'
+
+def auto_configure_client():
+    """Automatically configure the appropriate client based on environment."""
+    env = detect_environment()
+    if env == 'databricks_notebook':
+        # Use dbutils-based client
+        return DatabricksClient(dbutils=dbutils)
+    else:
+        # Use LocalDatabricksClient
+        return LocalDatabricksClient.from_env()
+```
+
+### 6. **Enhanced Logging & Monitoring**
+
+#### **Add Structured Logging**
+```python
+import structlog
+
+logger = structlog.get_logger("sap-bdc-mcp")
+
+async def call_tool(name: str, arguments: Any) -> list[TextContent]:
+    """Enhanced tool execution with structured logging."""
+    logger.info("tool_execution_started", 
+                tool=name, 
+                share_name=arguments.get('share_name'),
+                operation_id=str(uuid.uuid4()))
+    
+    try:
+        result = await execute_tool(name, arguments)
+        logger.info("tool_execution_completed", 
+                    tool=name, 
+                    success=True,
+                    result_size=len(str(result)))
+        return result
+    except Exception as e:
+        logger.error("tool_execution_failed",
+                     tool=name,
+                     error=str(e),
+                     error_type=type(e).__name__)
+        raise
+```
+
+### 7. **Testing & Validation Framework**
+
+#### **Add Built-in Test Suite**
+```python
+class BDCConnectTestSuite:
+    """Built-in test suite for validating BDC Connect integration."""
+    
+    async def test_authentication(self):
+        """Test BDC Connect authentication."""
+        
+    async def test_share_operations(self):
+        """Test complete share lifecycle."""
+        
+    async def test_metadata_compliance(self):
+        """Test ORD metadata compliance."""
+        
+    async def run_all_tests(self):
+        """Run comprehensive test suite."""
+```
+
+## 📚 Documentation Improvements
+
+### **Add to README.md**
+
+#### **Quick Start Section**
+```markdown
+## Quick Start
+
+### 1. Prerequisites
+- Databricks workspace with Unity Catalog enabled
+- SAP BDC Connect recipient configured
+- Python 3.11+ environment
+
+### 2. Installation
+```bash
+pip install sap-bdc-mcp-server
+```
+
+### 3. Configuration
+```bash
+export DATABRICKS_HOST="https://your-workspace.cloud.databricks.com"
+export DATABRICKS_TOKEN="your-token"
+export DATABRICKS_RECIPIENT_NAME="your-bdc-recipient"
+```
+
+### 4. First Share
+```python
+# Create share in Databricks first
+# Then use MCP server to add BDC Connect metadata
+```
+```
+
+#### **Architecture Diagram**
+```markdown
+## Architecture
+
+```
+┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
+│   Kiro IDE      │    │  SAP BDC MCP     │    │ SAP BDC Connect │
+│                 │◄──►│     Server       │◄──►│   Platform      │
+│ - Tool calls    │    │                  │    │                 │
+│ - Auto-approval │    │ - ORD metadata   │    │ - Data products │
+└─────────────────┘    │ - CSN schemas    │    │ - Publishing    │
+                       │ - Share mgmt     │    │ - Discovery     │
+                       └──────────────────┘    └─────────────────┘
+                                │
+                                ▼
+                       ┌──────────────────┐
+                       │   Databricks     │
+                       │                  │
+                       │ - Delta shares   │
+                       │ - Unity Catalog  │
+                       │ - Sample data    │
+                       └──────────────────┘
+```
+```
+
+### **Add TROUBLESHOOTING.md**
+```markdown
+# Troubleshooting Guide
+
+## Common Error Patterns
+
+### Authentication Issues
+- **Symptom**: "Failed to retrieve partner token"
+- **Cause**: OAuth configuration or network issues
+- **Solution**: Verify BDC Connect credentials and network access
+
+### Permission Issues  
+- **Symptom**: "Share not granted to recipient"
+- **Cause**: Missing share permissions
+- **Solution**: Grant share to BDC Connect recipient first
+
+### Metadata Issues
+- **Symptom**: "Share does not have ORD Annotations"
+- **Cause**: Attempting to publish before applying metadata
+- **Solution**: Apply ORD metadata first, then publish
+```
+
+## 🎯 Implementation Priority
+
+1. **High Priority**: Enhanced error messages and troubleshooting guide
+2. **Medium Priority**: Additional validation tools and examples
+3. **Low Priority**: Advanced monitoring and test framework
+
+## 🎉 Conclusion
+
+The SAP BDC MCP Server is already excellent and production-ready. These suggestions would make it even more user-friendly and robust for enterprise adoption. The core functionality is solid - these improvements focus on developer experience and operational excellence.
+
+**Key Strengths to Maintain**:
+- Excellent LocalDatabricksClient implementation
+- Comprehensive error handling
+- Clean MCP protocol implementation
+- Real SAP BDC Connect integration
+
+**Main Enhancement Areas**:
+- Documentation with real examples
+- Enhanced error interpretation
+- Additional validation tools
+- Better developer guidance
+
+The server demonstrates sophisticated understanding of both SAP BDC Connect and Databricks Delta Sharing - these suggestions build on that strong foundation.