second_opinion
Analyzes user requests with an LLM to identify critical considerations and provide alternative perspectives for improved decision-making.
Instructions
Provides a second opinion on a user's request by analyzing it with an LLM and listing critical considerations.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| user_request | Yes | The user's original request (e.g., 'Explain Python to me' or 'Build a login system') |
Implementation Reference
- The main handler function implementing the core logic: rate limiting, input validation, prompt creation, Deepseek API call, and response handling with optional reasoning.
export async function handler(args: unknown) { // Check rate limit first if (!checkRateLimit()) { return { content: [ { type: 'text', text: 'Rate limit exceeded. Please try again later.', }, ], isError: true, }; } try { // Type guard for SecondOpinionArgs if (!args || typeof args !== 'object' || !('user_request' in args) || typeof args.user_request !== 'string') { return { content: [ { type: 'text', text: 'Missing or invalid user_request parameter.', }, ], isError: true, }; } const typedArgs = args as SecondOpinionArgs; // Create the complete prompt const prompt = createPrompt(PROMPT_TEMPLATE, { user_request: typedArgs.user_request }); // Make the API call const response = await makeDeepseekAPICall(prompt, SYSTEM_PROMPT); if (response.isError) { return { content: [ { type: 'text', text: `Error generating second opinion: ${response.errorMessage || 'Unknown error'}`, }, ], isError: true, }; } // Return both the reasoning and the final response return { content: [ { type: 'text', text: response.text, }, ], // Include the Chain of Thought reasoning if available ...(response.reasoning ? { reasoning: [ { type: 'text', text: `<reasoning>\n${response.reasoning}\n</reasoning>`, }, ], } : {}), }; } catch (error) { console.error('Second opinion tool error:', error); return { content: [ { type: 'text', text: `Error processing request: ${error instanceof Error ? error.message : 'Unknown error'}`, }, ], isError: true, }; } - ToolDefinition object defining the tool's name, description, and input schema for MCP validation.
export const definition: ToolDefinition = { name: 'second_opinion', description: 'Provides a second opinion on a user\'s request by analyzing it with an LLM and listing critical considerations.', inputSchema: { type: 'object', properties: { user_request: { type: 'string', description: 'The user\'s original request (e.g., \'Explain Python to me\' or \'Build a login system\')', }, }, required: ['user_request'], }, }; - src/types/index.ts:54-56 (schema)TypeScript interface for input arguments used in type guarding within the handler.
export interface SecondOpinionArgs { user_request: string; } - src/server.ts:56-64 (registration)Registration of the second_opinion.definition in the MCP server's list of available tools.
this.server.setRequestHandler(ListToolsRequestSchema, async () => ({ tools: [ secondOpinion.definition, codeReview.definition, designCritique.definition, writingFeedback.definition, brainstormEnhancements.definition, ], })); - src/server.ts:81-89 (registration)Switch case dispatching calls to 'second_opinion' tool to the imported handler function with input validation.
case "second_opinion": { if (!args || !('user_request' in args) || typeof args.user_request !== 'string') { throw new McpError( ErrorCode.InvalidParams, "Missing required parameter: user_request" ); } response = await secondOpinion.handler({ user_request: args.user_request }); break;