This server exhibits strong definition quality overall. All 6 tools have clear verb-noun naming patterns (generate_image, edit_image, start_edit_session, continue_edit_session, end_edit_session, list_edit_sessions). Tool descriptions are comprehensive (194 - 300+ chars), well above the 10 - 1024 baseline. All parameters have type definitions and descriptions. Schemas are explicitly defined using Zod with proper enum constraints for categorical parameters (quality, background, output_format). Output schemas are documented. Error handling is present with actionable recovery guidance via describeOpenAIError(). The server demonstrates LLM-aware prompt engineering in descriptions (e.g., 'use ALL CAPS or quote literal text you want rendered verbatim'). Key strengths: extensive parameter documentation (size constraints explained, file format specs detailed), composition-friendly tool chain (session tools properly ordered: start→continue→end), and security consciousness (user parameter for abuse monitoring, no API keys exposed as params). Weaknesses: moderate issues around parameter relationships (size/quality/background interdependencies not fully cross-documented), limited per-parameter constraint details in some schemas (e.g., output_compression range 0 - 100 is mentioned but not formally constrained in schema), and tool descriptions could be more concise for some parameters (several descriptions exceed 200 chars, risking token waste). Risk annotation is present (WRITE/READ_ONLY) but security implications of stateful sessions and in-memory storage not fully documented.

• Add explicit JSON Schema constraints (minimum, maximum, pattern) for numeric and string parameters. For output_compression, add minimum: 0, maximum: 100 to the Zod schema. For size, add a pattern regex or minLength/maxLength to enforce 'WxH' format.
• Cross-reference parameter dependencies in descriptions. In the background parameter description, explicitly state: 'transparent requires output_format to be png or webp (jpeg is rejected)'. In output_format, add: 'Only png and webp support transparent backgrounds.'
• Prominently document session lifecycle and failure modes in start_edit_session description. Add: 'Sessions are stored in-memory and are lost if the server restarts. Call end_edit_session when done to free memory immediately. Use continue_edit_session to refine iteratively.'
• Verify and document the output schema for list_edit_sessions. Ensure returned session objects include session_id, created_at, turn_count, last_prompt, and last_image_path so agents can use these to continue or end sessions.
• Consider condensing parameter descriptions to 50 - 150 chars. Move examples and advanced constraints to inline comments or a server README. For instance, the size parameter description is 293 chars; reduce to: 'Output dimensions: auto (default), preset (1024x1024, 1536x1024, 1024x1536), or custom WxH (both edges multiples of 16, max 3840px, ratio 1:3 - 3:1, total pixels 655K - 8.3M).'
• Add explicit error recovery guidance in tool descriptions. Example for generate_image: 'If rate-limited, retry after waiting. If size invalid, the error will suggest the nearest valid size. If OpenAI rejects the prompt for policy reasons, try a more neutral description.'

Inferred effective spec: 2025-06-18+.

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