Inspects an image file with a vision-capable model and returns compact text analysis.

- Use this for image understanding tasks (OCR, UI/screenshot debugging, scene/object questions) - Provide `path` to the local image file - Write a specific `question`: - what to inspect - constraints (for example: "quote visible text verbatim", "only report confirmed findings") - desired output format (bullets/table/JSON/short answer) - Keep `question` grounded in observable evidence and ask for uncertainty when details are unclear - Use this tool over `read` when the goal is image analysis # OCR with strict formatting `{"path":"screenshots/error.png","question":"Extract all visible text verbatim. Return as bullet list in reading order."}` # Screenshot debugging `{"path":"screenshots/settings.png","question":"Identify the likely cause of the disabled Save button. Return: (1) observations, (2) likely cause, (3) confidence."}` # Scene/object question `{"path":"photos/shelf.jpg","question":"List all clearly visible product labels and their shelf positions (top/middle/bottom). If unreadable, say unreadable."}` - Returns text-only analysis from the vision model - No image content blocks are returned in tool output - Parameters are strict: only `path` and `question` are allowed - If image submission is blocked by settings, the tool will fail with an actionable error - If configured model does not support image input, configure a vision-capable model role before retrying