The server registers 25 tools across three categories (meta-mode discovery tools, standard Telegram API methods, and utility tools). Strengths: explicit tool annotations present; descriptions provided for most tools; good use of categories and risk classifications. Weaknesses: Many tool descriptions lack actionable context about WHEN to use them vs. alternatives; parameter descriptions vary in specificity; output schemas are not explicitly documented in the visible code; no error recovery guidance in descriptions; some parameter naming inconsistencies (e.g., 'params' as generic object in telegram_call). The code shows well-structured Zod schema building and method organization, but the tool definitions themselves lack the specificity and LLM-optimization patterns recommended for A-grade servers.

• Expand all tool descriptions to 100-150 characters, explicitly stating: (1) what the tool does, (2) when/why to use it vs. similar tools, (3) one-line summary of return type. Current 30-50 char descriptions lack this context.
• Document output schemas for all tools. Add a 'returns' field in each tool definition describing response structure (e.g., 'Returns: {id: number, username: string, is_bot: boolean, first_name: string}').
• Add error recovery guidance to write/delete tool descriptions. E.g., 'If the user is not in the chat, returns ParameterError. Use search_chat_members() first to verify membership.'
• For parameter descriptions, specify format constraints explicitly: 'language_code: ISO 639-1 language code (2 chars, e.g., 'en', 'ru')', not just 'Language code'. Include min/max length and valid examples.
• Enhance telegram_call description to warn about potential failure modes: 'Unknown method errors indicate the API method name is incorrect or deprecated. Use telegram_find to validate before calling.'
• Add 'category' guidance to get_user_profile_photos and get_user_profile_audios: 'Returns up to limit results. No pagination cursor provided, use offset/limit to fetch additional pages. Include total_count in response to guide agents.'
• In meta-mode discovery, add a note in telegram_find output recommending telegram_format before sending complex structures like poll or reply_markup. Reduce friction by auto-suggesting common next steps.
• For TRAIL tools, provide concrete examples in descriptions: 'content_id format: civitai:image:12345, action values: posted, failed, skipped. Use to audit content pipeline execution.'