This MCP server provides four tools with moderately detailed schemas and descriptions, but exhibits significant issues in naming clarity, parameter documentation, and error handling guidance. Tool names use compound verb patterns ('albedo_to_normal', 'sheet_to_flipbook', 'fal_gpt_image', 'resize_to_atlas') that blur what the tool does, they describe technical transformations rather than user intents. Descriptions are verbose (200 - 300 chars) and technically detailed but lack the actionable guidance LLMs need to decide when to call each tool. Schemas are present with type information and enums for critical parameters, but many parameters lack descriptions or have descriptions that assume domain knowledge (e.g., 'Wrap-aware high-pass radius in texels'). Error handling is minimal, no recovery guidance, no validation feedback, and no dry-run patterns for destructive file operations. Output schemas are not documented. The tools operate on file paths and generate images/normal maps, which is inherently stateful and risky without explicit confirmation patterns. Overall, the server is competent but not production-ready for agentic use.

• Rename tools to reflect user intents using action verbs: 'generate_normal_map' (instead of 'albedo_to_normal'), 'pack_sprite_frames' (instead of 'sheet_to_flipbook'), 'generate_texture_image' (instead of 'fal_gpt_image'), 'downscale_texture' (instead of 'resize_to_atlas'). This makes tool selection transparent to LLMs.
• Add explicit output schemas to each tool: document what fields are returned on success (e.g., 'Returns: {height_path: string, normal_path: string, mer_path: string, validation_report: object}'). Include error response format.
• Add min/max bounds to all numeric parameters using JSON Schema 'minimum' and 'maximum'. Examples: flatten 0 - 1, strength 0 - 2, frame_width 1 - 4096, num 1 - 100, alpha_threshold 0 - 255.
• Document mutually exclusive parameter groups. For 'albedo_to_normal': state 'Either height_source=file (with height_file) OR height_source=depth/luminance (without height_file)'. For 'fal_gpt_image': state 'Either prompt OR prompt_file, not both; either size OR (width AND height), not both'.
• Expand descriptions with recovery guidance. Example for 'albedo_to_normal': 'If GPU WebGPU is unavailable, the tool falls back to CPU PyPBR processing. If depth estimation fails, use height_source=luminance instead.' Example for 'fal_gpt_image': 'If generation times out (>60s), retry with a simpler prompt or smaller batch size (num=1).'
• Add a dry-run or confirmation pattern for all file-writing tools. Include a 'preview' or 'confirm' parameter that returns what would be written without actually writing. Example: 'Set preview=true to see output file paths without creating files.'