Repeatability
High
The task runs every Monday on the same three CSV sources with the same transformation logic. Structure is highly stable week-to-week, making it ideal for a scheduled automated pipeline.
Ambiguity Tolerance
Medium
Core outputs are well-defined (deduplication, price flags, stock consolidation, master feed), but conflict resolution rules need to be specified upfront — e.g., which system's price or stock level takes precedence when they disagree. Once those rules are codified, success criteria are crisp.
Data & Tool Availability
High
CSV exports are already in place and the agent only needs read access to those files plus write access to an output location. No live API calls or authentication complexity required for the core pipeline.
Error Cost
Medium
A bad master feed could propagate incorrect stock levels or prices to downstream channels, causing overselling or mispricings — real but recoverable damage. A human review step on flagged discrepancies before publishing mitigates most risk.
Human Judgment Required
Low
The task is fundamentally rule-based data transformation. Human judgment is only needed to define the conflict-resolution rules once at setup, and to review flagged anomalies — not to run the pipeline itself.