Server provides 5 well-structured read-only tools with complete JSON schemas and Chinese descriptions. All tools follow verb_noun naming (list_*, get_*) and have proper input validation via regex patterns and integer constraints. However, descriptions are brief (avg 40-60 chars) and lack LLM-optimized guidance on when/why to use each tool. No output schemas documented. Parameter descriptions are minimal. Error handling and recovery guidance absent. Schemas are present and valid but lack depth.

• Document output schemas for all 5 tools. Specify fields returned (e.g., list_subjects returns [{id, name, grade_count, textbook_count, knowledge_point_count}]). This enables LLMs to chain calls and extract IDs for downstream tools.
• Expand descriptions to 100-200 chars. Add context: 'Call this first to discover available subjects before querying textbooks' (list_subjects); 'Returns all lessons in a textbook as a hierarchical path, enabling lesson selection' (list_lessons).
• Add parameter descriptions. E.g., 'subjectId: integer ID from list_subjects() (required to filter textbooks by subject)'; 'grade: 1-9 (optional; omit to see all grades)'.
• Implement pagination for list_* tools. Add optional 'limit' (default 20, max 100) and 'offset' parameters. Return total_count so LLMs know if more results exist.
• Add error handling guidance. Document what happens if subjectId/bookId/lessonId is invalid (e.g., 'Returns 404 with available IDs: [1, 2, 3]'). Include recovery hints like 'Call list_subjects() to find valid IDs'.