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A few things you can do:
A few approaches that tend to work better are:
My initial assumption was that there might be an item-count restriction, as I was also able to retrieve 100 items successfully even after significantly increasing the amount of data stored in each item. I carried out a quick test using a simple list with only one column and approximately 200 items. The agent was able to retrieve all 200 records successfully, which indicates that the limitation is likely not related to the number of items but perhaps to the overall payload size.
However, regardless of whether the constraint is driven by item count, payload size, or another platform limitation, the underlying challenge remains the same: we need the agent to perform a comprehensive analysis across a large dataset, and the content stored in each item has already been minimized to only the essential information.
Could you share any recommended approaches or best practices for handling this type of use case? In particular, I would like to understand how others address situations where an agent must analyze all available records without further reducing the data volume.
BR,
Hilary
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