This MCP server has only ONE tool (sendMessage) with minimal definition quality. The tool has a generic description, a single required parameter with minimal context, no output schema documented, and critically lacks the structured context needed for LLM operation. The codebase shows Spring Boot + Spring AI integration, but the tool definition falls far short of production standards. Compared to baseline (average tool description 194 chars, 100% of A+ tools have documented return types), this server lacks fundamental clarity.

• CRITICAL: Add a 'chat_id' or 'recipient' parameter to specify the Telegram target (user ID, chat ID, or username). Document the expected format and range. Without this, the tool is non-functional.
• CRITICAL: Document the complete output schema. Example: { 'message_id': '12345', 'sent_at': '2024-01-15T10:30:00Z', 'status': 'delivered' }. State what fields are returned and their types.
• Expand tool description to 50 - 150 characters. Example: 'Send a message to a Telegram chat or user. Requires valid chat_id and message text (1 - 4096 chars). Returns message_id and delivery status. Retryable on network failure.'
• Add parameter constraints: 'message' field should specify max length (Telegram API limit is typically 4096), character set (UTF-8), and whether empty strings are rejected. Add 'chat_id' with format guidance (integer ID or username string).
• Add error handling guidance in the description: 'Returns error if chat_id is invalid, message is empty, or recipient blocked the sender. Retryable on network timeout. Check Telegram account permissions if blocked error occurs.'
• Add a 'parse_mode' optional parameter (enum: 'plain', 'markdown', 'html') to control message formatting, with a default of 'plain'. This is a common Telegram API feature.
• Consider adding optional parameters for rich features: 'reply_to_message_id' (for threading), 'disable_notification' (boolean), 'protect_content' (boolean). Document each with clear descriptions.