Two tools with complete input schemas and reasonable descriptions. Naming follows verb_noun pattern (generate_image, batch_generate_images). Schemas are well-structured with enums for constrained inputs (aspect_ratio, image_size, output_format, thinking_level). However, descriptions are minimal (single sentence, ~30 chars each), falling below the 50-200 char LLM-optimized baseline. Parameter descriptions are present but terse. No output schema documented. Error handling is absent from visible code, no recovery guidance or actionable error messages. Tool composition is reasonable (batch variant exists), but descriptions lack context on when to use each tool or what to expect in responses.

• Expand tool descriptions to 100-200 characters. Example: 'generate_image: Generate a single image from a text prompt using Gemini 3.1 Flash. Use this for one-off image creation. Returns the saved image path and metadata. For multiple prompts, use batch_generate_images instead.'
• Document the output schema explicitly. Declare that both tools return an object with fields: index (int), path (string, file path), filename (string), size (int, bytes), timestamp (ISO 8601 string).
• Add constraint details to parameter descriptions. E.g., 'reference_image_paths: List of file paths to reference images (PNG/JPEG/WebP, max 20 MB each, max 14 images total).'
• Implement structured error responses. Catch ValidationError and return {'error': 'Invalid <param>: <value>, must be one of: <options>'} so LLMs can self-correct.
• Add an 'idempotency_key' optional parameter to both tools so agents can safely retry without generating duplicates.

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

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