Repeatability
High
The matching logic is fully specified: exact email match first, then fuzzy name+phone with a defined edit-distance threshold. This structure is identical every run and trivially scriptable.
Ambiguity Tolerance
High
Success criteria are crisp: a deduplicated master list, confidence scores on fuzzy matches, and two unmatched-record lists. There is no subjective judgment about what 'done' looks like.
Data & Tool Availability
High
The agent needs only the two input files (CSV and JSON) and standard libraries like pandas and rapidfuzz or recordlinkage — all readily available. No external APIs or live credentials required.
Error Cost
Low
Errors produce a flawed master list, but the unmatched-records output and confidence scores create a natural audit layer. No irreversible action is taken; a human review pass catches mistakes before downstream use.
Human Judgment Required
Low
The matching rules are explicit and algorithmic. The only residual human role is reviewing low-confidence fuzzy matches — which the output is specifically designed to surface.