The 'search' tool has a complete input schema with proper typing and descriptions, but the server suffers from critical gaps in output documentation, error recovery guidance, and minimal parameter validation. The tool description is adequate (56 chars) but lacks clarity on when to use it vs alternatives, what it returns, and prerequisites. The schema includes proper types (string) and descriptions for all three parameters (query, code, language), meeting baseline requirements. However, there is NO documented output schema, LLMs cannot infer what fields to expect from the response. The implementation shows a Perplexity API integration that returns text content, but this structure is never formally declared. Error handling exists (McpError for unknown tools) but provides no recovery guidance. The code analysis feature is hardcoded and not exposed to the LLM as a discoverable capability. Parameter descriptions lack format constraints (e.g., no guidance on query length, code snippet size limits, or valid language values). The single tool also lacks any mention of idempotency, state modification, or destructive hints, critical for agent planning. Compared to production baselines (avg param annotation 72 chars, 100% of A+ tools have output docs), this server falls short on composability and token efficiency.

• Document the output schema explicitly. E.g., 'Returns: { content: [{ type: string, text: string }] }' so LLMs know to extract the 'text' field and understand the response structure.
• Add detailed error handling with recovery hints. E.g., 'If status 401 (unauthorized), verify PERPLEXITY_API_KEY is set correctly. If 429 (rate limited), wait 60 seconds before retrying.'
• Expand tool description to 100-150 chars. Include: 'Use this tool to search Perplexity AI for coding solutions. Accepts error messages, code snippets, and language hints. Returns formatted analysis with root cause and fixes. Requires PERPLEXITY_API_KEY environment variable.'
• Add parameter constraints to descriptions: 'query (required): The error message or coding question to analyze. 2-2000 characters. E.g., "TypeError: unsupported operand type(s) for +: 'int' and 'str'"'; 'language (optional): Programming language (python, javascript, java, go, rust, etc.). Default 'auto' auto-detects from code. Ignored if code not provided.'
• Expose the code analysis feature as a separate optional 'analysis_mode' parameter or document it in the response schema if it's triggered conditionally. Currently users have no way to know when/how deep analysis runs.
• Add tool annotations in the tool definition: include a 'readOnlyHint: true' and 'idempotentHint: true' to signal to the MCP client that this tool is safe to retry and does not modify state.
• Consider paginating or capping the response length if Perplexity returns very long analyses. Baseline pattern suggests returning 20-50 items; at minimum, add truncation logic and a 'see_more' indicator to prevent token exhaustion.