Repeatability
High
The task is structurally identical every time: ingest a CSV, run each row through address validation and geocoding APIs, flag failures, and output a clean file. No unique judgment is required per row; the logic is fully codifiable.
Ambiguity Tolerance
High
Success criteria are concrete: every address either matches a valid USPS record or is flagged, every matched row gets lat/lng appended, and a summary counts the issues found. A non-human can verify completion mechanically.
Data & Tool Availability
High
Mature APIs exist for both address validation (USPS, SmartyStreets, Melissa) and geocoding (Google Maps, Mapbox, HERE). The agent needs API keys and the input spreadsheet, both of which are straightforward to provision.
Error Cost
Low
The output is a flagged CSV, not a committed action — a human reviewer can audit flagged rows before any downstream use. Mistakes are visible and reversible, and the original data is untouched.
Human Judgment Required
Low
Most decisions are rule-based: match or no-match, standardize to USPS format, append coordinates. Edge cases like ambiguous street names are surfaced as flags for human review rather than silently resolved.