Skillbrary has 3 tools with basic schemas and descriptions, but significant gaps prevent production use. Tool names are action-oriented (search_, install_, execute_), which is good. However, descriptions are minimal (10-50 chars), parameter descriptions lack detail, and output schemas are entirely undocumented. The execute_skill tool is marked IRREVERSIBLE but has no confirmation/dry-run pattern. No error handling guidance, no pagination support, and no field-level documentation for responses. This is a D-grade server, functional but incomplete.

• Document output schemas for all three tools. search_skills should return {skills: [{id, name, description, tags, version}], total_count, next_cursor}. install_skill should return {status, skill_id, installed_at}. execute_skill should return {status, result, logs, execution_time}.
• Expand tool descriptions to 150-250 chars. Example: 'search_skills: Search the Skillbrary registry for skills matching an intent. Returns up to `limit` results ranked by relevance. Use this to discover available capabilities before install_skill or execute_skill.'
• Add parameter descriptions: intent → 'Natural language task description (e.g., "send email to [email protected]"). Used to match against skill tags and descriptions.'; skill_id → 'Unique skill identifier returned by search_skills. Format: alphanumeric string.'
• Implement confirmation pattern for execute_skill. Add a dry_run boolean parameter (default false) or require a separate confirm_execution tool to prevent accidental irreversible actions.
• Add error handling guidance in descriptions. E.g., 'If skill_id is invalid, returns {status: "error", code: "SKILL_NOT_FOUND", message: "Skill not found. Try search_skills() to find available skills."}'