economicIndicators_retailSales
Retrieve US retail sales data to analyze consumer spending trends and economic health using Alpha Vantage financial data.
Instructions
Retrieves US retail sales data.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| datatype | No | Data format for the response. | json |
Implementation Reference
- src/index.ts:644-658 (registration)Registers the 'economicIndicators_retailSales' MCP tool, defining its name, description, input schema, and thin execute handler that delegates to executeAvantageTool which calls the Avantage library's retailSales method.server.addTool({ name: "economicIndicators_retailSales", description: "Retrieves US retail sales data.", parameters: schemas.EconomicIndicatorsDataTypeParamSchema, execute: ( args, context // Let type be inferred ) => executeAvantageTool( "economicIndicators_retailSales", args, context, (av, params) => av.economicIndicators.retailSales(params) ), });
- src/schemas.ts:124-126 (schema)Zod schema defining optional 'datatype' parameter (json or csv) for economic indicators tools including retailSales.export const EconomicIndicatorsDataTypeParamSchema = z.object({ datatype: DatatypeSchema.default('json').optional(), }).describe('Common parameter schema accepting only datatype.')
- src/index.ts:38-115 (helper)Shared helper function that handles authentication, resource management for AVantage client instances, executes the provided library method (av.economicIndicators.retailSales), processes results, and returns JSON string. Used by all tools.async function executeAvantageTool<TArgs, TResult>( toolName: string, args: TArgs, context: Context<Record<string, unknown> | undefined>, // Use the imported Context type directly avantageMethod: ( av: AVantage, args: TArgs ) => Promise<{ error?: boolean; reason?: string; data?: TResult }> ): Promise<string> { logger.info(`Executing '${toolName}' tool for request ID: ${context}`); logger.debug(`Args for ${toolName}: ${JSON.stringify(args)}`); // --- Authentication & Resource Management --- // Access extraArgs safely - it might be null or undefined const extraArgsApiKey = context.extraArgs?.apiKey as string | undefined; const apiKey = extraArgsApiKey || config.apiKey; if (!apiKey) { logger.error(`'${toolName}' failed: Alpha Vantage API key missing.`); throw new UserError(apiKeyErrorMessage); } logger.debug( `Using AV API key (source: ${extraArgsApiKey ? "extraArgs" : "environment"}) for ${toolName}` ); try { // Get or create AVantage instance managed by ResourceManager const av = await resourceManager.getResource<AVantage>( apiKey, // Cache key is the resolved API key "avantage_client", // Type identifier for logging async (key) => { // Factory Function logger.info( `Creating new AVantage instance for key ending ...${key.slice(-4)}` ); // AVantage library reads AV_PREMIUM from process.env internally return new AVantage(key); }, async (avInstance) => { // Cleanup Function (no-op needed for AVantage) logger.debug(`Destroying AVantage instance (no-op)`); } ); // --- Library Call --- const result = await avantageMethod(av, args); // --- Response Handling --- if (result.error) { logger.warn( `'${toolName}' failed. Reason from avantage: ${result.reason}` ); throw new UserError(result.reason || `Tool '${toolName}' failed.`); } if (result.data === undefined || result.data === null) { logger.warn(`'${toolName}' completed successfully but returned no data.`); return "null"; // Return string "null" for empty data } logger.info(`'${toolName}' completed successfully.`); // Stringify the data part of the response return JSON.stringify(result.data); } catch (error: any) { logger.error( `Error during execution of '${toolName}': ${error.message}`, error ); // If it's already a UserError, rethrow it if (error instanceof UserError) { throw error; } // Otherwise, wrap it in a UserError throw new UserError( `An unexpected error occurred while executing tool '${toolName}': ${error.message}` ); } }