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• Rename tools to action-verb form: 'generate_image_banana' and 'generate_image_openrouter' to match production baseline (90% of A+ tools start with action verbs).
• Expand parameter descriptions to 50-100 chars each. Example: 'Temperature controls randomness (0.0=deterministic, 2.0=creative). Default 1.0 is balanced. LLMs rarely guess well without explicit ranges.'
• Declare enums for constrained parameters. For 'aspect_ratio', add: '"enum": ["1:1", "16:9", "4:3", "9:16"]' to the JSON Schema. For 'quality', add: '"enum": ["standard", "hd"]'.
• Add min/max bounds to numeric parameters in schema: temperature (0.0 - 2.0), top_p (0.0 - 1.0), top_k (1 - 100), num_images (1 - 10).
• Document the 'images' array structure formally. Provide example: [{"url": "s3://...", "role": "edit_base"}] and declare valid roles as enums: ["edit_base", "style_ref", "fusion"].
• Add output schema documentation. Example: 'Returns {"success": bool, "images": [{"path": string, "description": string}], "error": string}'.
• Include error recovery hints in descriptions. E.g., 'On rate limit, the tool returns HTTP 429. Retry after 60s. On model not found, try searching available models with list_models().'
• Clarify that 'save_path' writes to disk (destructive side effect). Either rename tool to reflect it's a write operation, or document permissions explicitly: 'permission: write-files'.
• For 'banana' tool, clarify which roles are valid for 'images' parameter (e.g., edit_base, style_ref, fusion), currently embedded in prose, not schema.