Server has 6 well-named, read-only tools with clear descriptions and basic input schemas. Naming follows verb_noun convention (list_*, get_*, search_*). Descriptions are adequate (50-150 chars) and explain purpose. However, parameter descriptions are sparse or missing entirely for optional params (e.g., 'course_ids' in list_assignments lacks guidance on behavior when omitted). Output schemas are not documented, LLMs cannot predict response structure. Error handling is minimal (generic RuntimeError). No pagination guidance despite list_* tools. Missing parameter constraints (e.g., perpage max 100 is mentioned in description but not enforced). Tool composition is sound, each does one thing. Security is good: credentials injected via env vars, no secrets in params.

• Document output schemas for all tools. Example: 'Returns list of dicts with keys: id (int), shortname (str), fullname (str), category (int), visible (int).' This enables LLMs to plan downstream field access.
• Add explicit behavior docs for optional params. E.g., 'If course_ids is omitted, returns assignments from all courses the user is enrolled in. May return 0-1000+ items; use pagination if available.'
• Implement pagination for list_my_courses, list_assignments, list_quizzes. Add 'limit' (default 20, max 100) and 'offset' (default 0) params. Return total_count in response.
• Enhance error handling with categorization. Catch httpx.TimeoutException → 'Moodle server timeout. Retry in 5 seconds.' Catch httpx.HTTPStatusError 401 → 'Invalid token. Check MOODLE_TOKEN env var.' Catch ValueError → 'Invalid parameter format. See tool description.'
• Add input validation with clear error messages. Validate perpage ≤ 100, page ≥ 0, course_id > 0. Return 'Invalid perpage: 150 exceeds max 100' instead of silent API failure.