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get_prompt

Retrieve detailed task instructions or prompts using a unique task identifier (e.g., 'CRD-1') to clarify requirements for AI agents on the coderide MCP server.

Instructions

Retrieves the specific instructions or prompt for a given task, identified by its unique task number (e.g., 'CRD-1'). This is typically used to understand the detailed requirements or context for an AI agent to work on the task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numberYesThe unique identifier for the task (e.g., 'CRD-1'). Must follow the format: three uppercase letters, a hyphen, and one or more digits.

Implementation Reference

  • The `execute` method implements the core handler logic for the 'get_prompt' tool. It fetches the task prompt from the CodeRide API endpoint `/task/number/{taskNumber}/prompt`, handles errors, and returns the `taskPrompt` or an error response.
    async execute(input: GetPromptInput): Promise<unknown> { logger.info('Executing get-prompt tool', input); try { // Use the injected API client to get task prompt if (!this.apiClient) { throw new Error('API client not available - tool not properly initialized'); } // Get the task prompt using the specific endpoint /task/number/:taskNumber/prompt const taskNumber = input.number.toUpperCase(); // Convert to uppercase for consistency const url = `/task/number/${taskNumber}/prompt`; logger.debug(`Making GET request to: ${url}`); const responseData = await this.apiClient.get<TaskApiResponse>(url) as unknown as TaskApiResponse; if (!responseData) { logger.warn(`No response data received for task number ${taskNumber} from ${url}. This might indicate the task has no prompt or an API issue.`); return { taskPrompt: '' }; // Output camelCase, return empty if no data } // User confirmed API returns 'taskPrompt' (camelCase) for this endpoint. // TaskApiResponse interface has been updated accordingly. return { taskPrompt: responseData.taskPrompt || '' // Access camelCase, output camelCase }; } catch (error) { const errorMessage = (error instanceof Error) ? error.message : 'An unknown error occurred'; logger.error(`Error in get-prompt tool: ${errorMessage}`, error instanceof Error ? error : undefined); return { isError: true, content: [{ type: "text", text: errorMessage }] }; } }
  • Zod input schema `GetPromptSchema` for the 'get_prompt' tool, validating the required 'number' parameter in the format 'ABC-123'.
    const GetPromptSchema = z.object({ // Task number (e.g., "CRD-1") number: z.string({ required_error: "Task number is required" }).regex(/^[A-Za-z]{3}-\d+$/, { message: "Task number must be in the format ABC-123 (e.g., CRD-1 or crd-1). Case insensitive." }), }).strict();
  • src/index.ts:315-330 (registration)
    Registration of the 'get_prompt' tool in the MCP server: instantiation of `GetPromptTool` with `secureApiClient` dependency injection, addition to the tools array, and registration via `tool.register(server)` in the production server setup.
    const tools: any[] = [ new StartProjectTool(secureApiClient), new GetPromptTool(secureApiClient), new GetTaskTool(secureApiClient), new GetProjectTool(secureApiClient), new UpdateTaskTool(secureApiClient), new UpdateProjectTool(secureApiClient), new ListProjectsTool(secureApiClient), new ListTasksTool(secureApiClient), new NextTaskTool(secureApiClient), ]; // Register each tool with the server tools.forEach(tool => { tool.register(server); });

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