Repeatability
High
The task is structurally identical across all 120 files: detect headers, normalize column names, parse dates and amounts, and append rows. Variation in layout is bounded and predictable, not open-ended.
Ambiguity Tolerance
High
Success criteria are concrete: a single CSV with standardized columns, a schema mismatch log, and a per-client summary. An agent can verify completeness by row counts and column presence without human interpretation.
Data & Tool Availability
Medium
Google Drive API access and read permissions must be granted explicitly; without that, the agent cannot reach the files. Assuming access is provisioned, the data itself is fully available and structured.
Error Cost
Low
The source spreadsheets are read-only and untouched; the output is a new CSV. A bad merge is easily caught by spot-checking row counts or date ranges, and re-running costs nothing.
Human Judgment Required
Low
Column mapping decisions (e.g., 'Date' vs 'Transaction Date') are straightforward synonym resolution. Ambiguous cases should be flagged in the mismatch log for human review rather than silently resolved.