The order is:

    LLM issues tool call to read high res image ->
    harness sends high res image to server ->
    server downsizes it to 800x800 (blurry) ->
    LLM issues bash command (e.g. `convert`) to crop a small subimage (e.g. 600x600) from the high res image ->
    LLM issues tool call to read subimage ->
    harness sends subimage to server ->
    server does not resize the subimage because it is small already, so it is not blurry when finally ingested by the LLM

Then you have a separate issue where the LLM can't piece together 9 subimages well.