Three tools with basic naming and minimal descriptions. Tool names follow verb_noun pattern (dv_get_*, dv_search_*), which is good. However, descriptions are extremely brief (10-50 chars), falling below the 50-200 char LLM-optimized baseline. Input schemas are present but sparse: dv_get_courses has empty input ({}), while dv_get_course and dv_search_courses have single string parameters with descriptions. No output schemas documented. No error handling guidance. No parameter constraints (enums, ranges). Tool definitions inferred from CourseService.java rather than explicit MCP registration visible in code.

• Expand tool descriptions to 50-200 chars. Example: 'dv_get_courses' → 'Retrieve all available courses from Dan Vega. Returns course titles, descriptions, and IDs for browsing or filtering. Call this first to discover available courses.'
• Add output schema documentation. Specify what fields each tool returns (e.g., course_id, title, description, duration, url) so LLMs know what data is available for downstream calls.
• Add pagination to dv_get_courses: accept limit (1-100, default 20) and offset parameters; return total_count and next_offset. Cap results at 20-50 items per call.
• Add parameter descriptions and constraints. For dv_search_courses, clarify: 'keyword: Search term (1-100 chars, case-insensitive). Matches course titles and descriptions.'
• Document error scenarios and recovery paths. E.g., 'If no courses match, try a broader keyword or call dv_get_courses to see all available titles.'