Repeatability
High
The transformation logic is structurally identical across all files: parse, map columns to a standard schema, deduplicate, and output. Inconsistent formatting adds complexity but not unique judgment each time.
Ambiguity Tolerance
Medium
The target schema is clearly defined, but deduplication rules are underspecified — when two records conflict on rent or lease dates, the agent needs a tiebreaker rule. Success is mostly measurable but requires a human to validate edge cases.
Data & Tool Availability
High
All inputs are local files the agent can be given direct access to, and the output is a simple CSV. No external APIs, live systems, or credentials are required beyond file read access.
Error Cost
Low
Source files are not modified, so any errors in the output CSV are fully reversible. The worst outcome is a dirty output that requires a re-run, not data loss or financial harm.
Human Judgment Required
Low
Column mapping and deduplication are largely rule-based. The only genuine judgment calls are resolving conflicting duplicate records, which can be flagged for human review rather than silently resolved.