The server defines 15 tools with basic descriptions and input schemas. However, there are systematic quality gaps: (1) Most tool descriptions are minimal (under 50 chars), lacking context on WHEN to use each tool vs. alternatives or WHAT the tool returns. (2) Parameter descriptions are sparse, many inputs like 'imagePath', 'instructions', 'analysisType', 'blendMode' lack substantive guidance on valid formats, constraints, or expected behavior. (3) Output schemas are not visible in the source code, no documented return types, field structures, or pagination guidance. (4) Error handling is absent from the tool definitions; no recovery guidance or error categorization. (5) Tool naming lacks clarity in distinguishing similar tools, e.g., 'generate_image', 'generate_logo', 'generate_icon', 'generate_product', 'generate_social_media', 'generate_ugc', 'generate_character_set', and 'generate_infographic' all follow a similar pattern but lack clear differentiation in names or descriptions about when to use each variant. (6) No tool composition guidance, unclear which tools chain together or what data flows between them. The server averages 40-45 chars per tool description (well below the 194-char baseline for A+ tools) and has minimal parameter annotations. These are production gaps that would reduce LLM selection accuracy and increase retry loops.

• Expand tool descriptions to 100-200 chars each. For each tool, answer: What does it do? When should I call it instead of a similar tool? What does it return? Example: 'generate_logo' → 'Generate a professional logo design from text. Returns a high-resolution PNG logo image suitable for branding. Use when you need a new brand mark; use generate_icon for smaller UI icons. Result includes image data and metadata.'
• Add parameter constraints to schemas. For convert_image, declare outputFormat as an enum: ['jpeg', 'png', 'webp', 'gif', 'avif']. For resize_image, add min/max bounds: width/height 1-10000 pixels. For analyze_image, document valid analysisType values (e.g., 'colors', 'objects', 'text', 'faces').
• Document output schemas for all tools. Include return field names, types, and meanings. Example: 'generate_image returns {image: string (base64 or URL), format: string, width: number, height: number, created_at: string (ISO 8601)}'.
• Add error recovery guidance to tool descriptions or create a companion error catalog. Example: 'If generation fails due to content moderation, modify the prompt to remove flagged terms and retry. If API is unavailable, wait 30 seconds before retrying.'
• Differentiate similar tools with explicit naming or capability fields. Instead of 8 'generate_*' tools, consider: 'generate_image_generic' (any image), 'generate_logo_professional' (brand marks), 'generate_ui_icon' (small icons), 'generate_ecommerce_product' (product photography). Or add a capability/style field to reduce tool count.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry