qlty_standardDeviation
Calculate standard deviation for a specified column in Teradata to measure data dispersion and assess variability in your dataset.
Instructions
Get the standard deviation from column in a table.
Arguments: database_name - name of the database table_name - table name to analyze column_name - column name to analyze
Returns: ResponseType: formatted response with query results + metadata
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| database_name | Yes | ||
| table_name | Yes | ||
| column_name | Yes |
Implementation Reference
- The handler function that executes the tool. It connects to Teradata, runs TD_UnivariateStatistics on the specified table and column to compute MEAN and STD, formats the results into JSON, adds metadata, and returns a formatted response.def handle_qlty_standardDeviation( conn: TeradataConnection, database_name: str | None, table_name: str, column_name: str, *args, **kwargs ): """ Get the standard deviation from column in a table. Arguments: database_name - name of the database table_name - table name to analyze column_name - column name to analyze Returns: ResponseType: formatted response with query results + metadata """ logger.debug(f"Tool: handle_qlty_standardDeviation: Args: table_name: {database_name}.{table_name}, column_name: {column_name}") if database_name is not None: table_name = f"{database_name}.{table_name}" with conn.cursor() as cur: rows = cur.execute(f"select * from TD_UnivariateStatistics ( on {table_name} as InputTable using TargetColumns ('{column_name}') Stats('MEAN','STD')) as dt ORDER BY 1,2") data = rows_to_json(cur.description, rows.fetchall()) metadata = { "tool_name": "qlty_standardDeviation", "database_name": database_name, "table_name": table_name, "column_name": column_name, "stats_calculated": ["MEAN", "STD"], "rows": len(data) } logger.debug(f"Tool: handle_qlty_standardDeviation: Metadata: {metadata}") return create_response(data, metadata)
- src/teradata_mcp_server/app.py:461-487 (registration)The code that dynamically loads tool modules based on profile, discovers all handle_* functions, derives the tool name by stripping 'handle_', and registers them as MCP tools using FastMCP's mcp.tool() decorator. This registers 'qlty_standardDeviation'.# Register code tools via module loader module_loader = td.initialize_module_loader(config) if module_loader: all_functions = module_loader.get_all_functions() for name, func in all_functions.items(): if not (inspect.isfunction(func) and name.startswith("handle_")): continue tool_name = name[len("handle_"):] if not any(re.match(p, tool_name) for p in config.get('tool', [])): continue # Skip template tools (used for developer reference only) if tool_name.startswith("tmpl_"): logger.debug(f"Skipping template tool: {tool_name}") continue # Skip BAR tools if BAR functionality is disabled if tool_name.startswith("bar_") and not enableBAR: logger.info(f"Skipping BAR tool: {tool_name} (BAR functionality disabled)") continue # Skip chat completion tools if chat completion functionality is disabled if tool_name.startswith("chat_") and not enableChat: logger.info(f"Skipping chat completion tool: {tool_name} (chat completion functionality disabled)") continue wrapped = make_tool_wrapper(func) mcp.tool(name=tool_name, description=wrapped.__doc__)(wrapped) logger.info(f"Created tool: {tool_name}") logger.debug(f"Tool Docstring: {wrapped.__doc__}") else:
- ModuleLoader configuration mapping 'qlty' prefix to the qlty tools module, enabling lazy loading of the qlty_standardDeviation handler when the qlty module is required by the profile.MODULE_MAP = { 'bar': 'teradata_mcp_server.tools.bar', 'base': 'teradata_mcp_server.tools.base', 'chat': 'teradata_mcp_server.tools.chat', 'dba': 'teradata_mcp_server.tools.dba', 'fs': 'teradata_mcp_server.tools.fs', 'qlty': 'teradata_mcp_server.tools.qlty', 'rag': 'teradata_mcp_server.tools.rag', 'sql_opt': 'teradata_mcp_server.tools.sql_opt', 'sec': 'teradata_mcp_server.tools.sec', 'tmpl': 'teradata_mcp_server.tools.tmpl', 'plot': 'teradata_mcp_server.tools.plot', 'tdvs': 'teradata_mcp_server.tools.tdvs' }