commodities_cotton
Retrieve cotton price data in JSON or CSV format for monthly, quarterly, or annual intervals to analyze commodity market trends.
Instructions
Retrieves cotton prices.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| interval | No | Time interval for the data. | |
| datatype | No | Response data format. |
Implementation Reference
- src/index.ts:38-115 (handler)Generic handler function that executes the tool logic for all AVantage-based tools, including commodities_cotton. It handles API key resolution, AVantage instance management, library method invocation (av.commodities.cotton(params)), error handling, and JSON response formatting.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}` ); } }
- src/schemas.ts:35-38 (schema)Zod validation schema for input parameters: optional 'interval' (monthly, quarterly, annual) and 'datatype' (json, csv).export const CommoditiesMonthlyQuarterlyAnnualParamsSchema = z.object({ interval: MonthlyQuarterlyAnnualSchema.optional().describe('Time interval for the data.'), datatype: DatatypeSchema.optional().describe('Response data format.'), }).describe('Parameters for monthly/quarterly/annual commodity data.')
- src/index.ts:287-298 (registration)Registers the 'commodities_cotton' MCP tool with the FastMCP server, linking the schema and handler.server.addTool({ name: "commodities_cotton", description: "Retrieves cotton prices.", parameters: schemas.CommoditiesMonthlyQuarterlyAnnualParamsSchema, execute: ( args, context // Let type be inferred ) => executeAvantageTool("commodities_cotton", args, context, (av, params) => av.commodities.cotton(params) ), });