VectoSolve provides 4 tools with complete Zod schemas and descriptions. All tools have proper input validation (file_path/image_url with URL format, enum constraints for generate_logo). Descriptions are concise (50-80 chars) and state what the tool does and cost. However, output schemas are not documented, responses are returned as unstructured text with embedded data, forcing LLMs to parse free-form strings. Error handling is minimal (generic 'Unknown error' fallback). Tool names lack action verbs (vectorize is acceptable, but remove_background should be remove_bg or remove_image_background for clarity). No parameter descriptions explain when to use file_path vs image_url or what formats are accepted beyond the type constraint.

• Document output schemas for all tools. E.g., vectorize returns {svg: string, svg_url: string, processing_time_ms: number, credits_used: number, credits_remaining: number}. Return structured JSON, not text with embedded data.
• Rename 'remove_background' to 'remove_image_background' to follow verb_noun convention and clarify the action.
• Add parameter descriptions explaining file_path vs image_url trade-offs: 'file_path: Local file (faster, no network). image_url: Remote URL (useful for web images, requires public access).'
• Enhance error messages with recovery guidance. E.g., 'Invalid image format: got .bmp. Supported: PNG, JPG, WebP. Try converting the image first.' instead of 'Unknown error'.
• Validate API_KEY format and connectivity early (e.g., on server startup or first tool call) and return clear, actionable errors if invalid.