TSGram MCP has 21 tools with complete JSON schemas and descriptions, but quality is inconsistent. Naming follows verb_noun convention well (create_bot, send_message, get_chat_info). However, descriptions are often generic (e.g., 'Send a text message to a chat or channel' for send_message lacks context on when to use it vs alternatives). Parameter descriptions are present but minimal, most lack format guidance, constraints, or dependency hints. No output schemas are documented, forcing LLMs to infer response structure. Error handling is absent from tool definitions. Security concerns: bot tokens exposed as required parameters (pattern:secret-injection violation). Workspace tools (edit_file, execute_command) are high-risk with no confirmation or dry-run patterns. Composition is reasonable, tools are single-purpose, but chaining IDs are not guaranteed in responses.

• Move bot tokens to server-side environment variables or a secure vault. Accept bot_name or bot_id instead of token in tool parameters. Inject tokens internally during execution.
• Document output schemas for all tools. For list_bots, specify: {bots: [{id, name, token_hash, description, created_at}], total_count}. For send_message, specify: {message_id, chat_id, timestamp, status}. This enables LLM chaining.
• Add confirmation/dry-run patterns to execute_command and edit_file. E.g., add a 'dry_run' boolean parameter that returns what would happen without executing. For destructive ops, require explicit confirmation.
• Enhance parameter descriptions with format and constraint guidance. E.g., parse_mode: 'HTML for rich formatting with <b>, <i>, <a>; Markdown for simple *bold* and _italic_; MarkdownV2 for advanced formatting (default: HTML)'. chat_id: 'Telegram chat ID (integer) or channel username (string starting with @)'.
• Add error handling guidance to tool descriptions. E.g., send_message: 'Returns error if chat_id is invalid (suggest get_chat_info to verify) or if text exceeds 4096 chars. Retryable on network timeout.'