Repeatability
High
The structure is identical every time: ingest CSVs, map columns, normalize ratings, deduplicate, output JSON. This is a deterministic pipeline that can be scripted and rerun whenever new exports arrive.
Ambiguity Tolerance
Medium
The output schema and normalization rules are clearly defined, but 'review text similarity' for deduplication requires a threshold decision (e.g., fuzzy match at 90%?) that the task doesn't specify. This is a one-time configuration choice, not ongoing ambiguity.
Data & Tool Availability
High
The agent only needs the three CSV files and a scripting environment — no live APIs, credentials, or external systems required. All inputs are self-contained and explicitly described.
Error Cost
Low
The output is a JSON file that a human can inspect before use; no irreversible actions are taken. Worst case is a malformed file or missed duplicate, both of which are easily caught in a quick review pass.
Human Judgment Required
Low
Column mapping, rating normalization, and fuzzy deduplication are all rule-based or threshold-based decisions with no taste, ethics, or relationship context involved. A human only needs to confirm the deduplication threshold once.