generate_sample_queries
Create sample SQL queries for database tables to facilitate data exploration and analysis in Oracle environments.
Instructions
Generate sample SQL queries for a given table to help with exploration
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| table_name | Yes | Name of the table to generate queries for | |
| owner | No | Schema owner (optional) |
Implementation Reference
- src/oracle_mcp_server/server.py:845-882 (handler)The main handler function for the 'generate_sample_queries' tool within the call_tool method. It fetches table columns, generates sample SQL queries based on column types (select all, count, distinct values, stats, date ranges), and returns them as JSON.
elif name == "generate_sample_queries": table_name = arguments.get("table_name") owner = arguments.get("owner") columns = await self.inspector.get_table_columns(table_name, owner) # Generate sample queries table_ref = f"{owner}.{table_name}" if owner else table_name queries = [ f"-- Basic select all\nSELECT * FROM {table_ref} WHERE ROWNUM <= 10;", f"-- Count total rows\nSELECT COUNT(*) FROM {table_ref};", ] # Add column-specific queries for col in columns[:5]: # Limit to first 5 columns col_name = col["column_name"] if col["data_type"] in ["VARCHAR2", "CHAR", "CLOB"]: queries.append( f"-- Find distinct values for {col_name}\nSELECT DISTINCT {col_name} FROM {table_ref} WHERE {col_name} IS NOT NULL AND ROWNUM <= 20;" ) elif col["data_type"] in ["NUMBER", "INTEGER"]: queries.append( f"-- Statistics for {col_name}\nSELECT MIN({col_name}), MAX({col_name}), AVG({col_name}) FROM {table_ref};" ) elif col["data_type"] in ["DATE", "TIMESTAMP"]: queries.append( f"-- Date range for {col_name}\nSELECT MIN({col_name}), MAX({col_name}) FROM {table_ref};" ) result = {"table_name": table_name, "sample_queries": queries} return [ TextContent( type="text", text=json.dumps(result, indent=2, default=str) ) ] - Input schema definition for the 'generate_sample_queries' tool, specifying required 'table_name' and optional 'owner' parameters.
"type": "object", "properties": { "table_name": { "type": "string", "description": "Name of the table to generate queries for", }, "owner": { "type": "string", "description": "Schema owner (optional)", "default": None, }, }, "required": ["table_name"], }, - src/oracle_mcp_server/server.py:723-741 (registration)Registration of the 'generate_sample_queries' tool in the list_tools handler, including name, description, and input schema.
Tool( name="generate_sample_queries", description="Generate sample SQL queries for a given table to help with exploration", inputSchema={ "type": "object", "properties": { "table_name": { "type": "string", "description": "Name of the table to generate queries for", }, "owner": { "type": "string", "description": "Schema owner (optional)", "default": None, }, }, "required": ["table_name"], }, ),