Critical gaps prevent higher scoring. Tool definitions exist only in test files (ToolSpecTest.java), not in executable source code. No input schemas are visible in the provided code, only tool names and descriptions are evident. Parameter definitions, output schemas, and error handling guidance are absent. The MCP server code (TypeScript) does not show explicit tool registration with JSON Schema. Tool names use 'mc_' prefix but lack verb-noun clarity (e.g., 'mc_build' vs 'build_structure'). Descriptions are present but generic (10-50 chars), below the 50-200 char baseline for LLM optimization. No evidence of parameter validation, error recovery guidance, or output schema documentation.

• Add explicit JSON Schema definitions for each tool's input parameters in the MCP server registration code (not test files). Include type, description, enum constraints, and min/max for each parameter.
• Expand tool descriptions to 50-200 characters. Example: 'mc_build' → 'Execute batch fill operations to build structures. Accepts coordinates, block type, and fill pattern. Returns success count and any errors.'
• Rename tools for clarity: 'mc_build' → 'build_structure', 'mc_survey' → 'survey_terrain', 'mc_render' → 'render_terrain_view', 'mc_command' → 'execute_minecraft_command'.
• Document output schemas for each tool. Specify what fields are returned (e.g., mc_status returns {online_players: number, server_tps: number, uptime_seconds: number}).
• Add parameter descriptions and constraints. For mc_build, document: 'coordinates (required, format: x,y,z), block_type (enum: stone|dirt|grass|...), fill_pattern (enum: solid|checkerboard|...), dry_run (optional boolean, default: false)'.