Critical gaps across all dimensions. Tool definitions lack visible input schemas in source code, cannot verify parameter types, constraints, or descriptions. Tool names follow a prefix pattern (lol_*) but lack clear verb-noun structure (e.g., 'lol_passthrough_get' vs 'get_lol_endpoint'). No evidence of structured output documentation. Passthrough tools (GET/POST/PUT/PATCH/DELETE) expose raw API complexity to LLM without abstraction. Error handling and recovery guidance absent. Security concerns: passthrough tools accept arbitrary endpoints and parameters, risking injection attacks and unintended API calls.

• Add explicit input/output schemas to every tool. Use JSON Schema with type, description, enum, and pattern constraints. Example: { type: 'object', properties: { endpoint: { type: 'string', description: 'LCU API endpoint path (e.g., /lol-summoner-v1/summoners/me)' }, method: { type: 'string', enum: ['GET', 'POST', 'PUT', 'PATCH', 'DELETE'] } }, required: ['endpoint', 'method'] }
• Replace passthrough tools with semantic wrappers. Instead of lol_passthrough_get, create get_summoner_info, get_match_history, get_champion_mastery. Each tool should have a single, clear purpose with validated parameters.
• Add 50-200 character descriptions to every tool explaining WHAT it does, WHEN to use it, and any prerequisites. Example: 'Get current summoner profile including level, rank, and account ID. Call this first to identify the player before querying match history.'
• Implement parameter validation with actionable error messages. When a parameter is invalid, return the constraint violated and valid options. Example: 'Invalid method: got "TRACE", must be one of: GET, POST, PUT, PATCH, DELETE'
• Add output schema documentation showing what fields are returned and their types. Include chaining IDs (e.g., summoner_id, match_id) needed by downstream tools to enable multi-step workflows.