Repeatability
High
The task is structurally identical for every row: read a text string, map it to one of five canonical types, or flag it as unclassifiable. This is a pure classification loop with no unique judgment per instance.
Ambiguity Tolerance
High
Success criteria are crisp: every row gets a canonical label or a flag, and the five target categories are explicitly defined. The flagging requirement elegantly handles edge cases rather than forcing a bad guess.
Data & Tool Availability
High
The agent needs read/write access to a Google Sheet, which is straightforward via the Sheets API or a CSV export. No external data sources, live context, or special permissions are required beyond that.
Error Cost
Low
The original 'Deliverable Type' text is preserved, so any misclassification is fully reversible with a human spot-check. Writing results to a new column rather than overwriting the original makes this essentially zero-risk.
Human Judgment Required
Low
The mapping from freeform text to five canonical types is a pattern-matching problem AI handles well. Genuinely ambiguous rows are flagged for human review, so the agent doesn't need to make hard calls on its own.