Repeatability
High
The same six fields need to be extracted from each contract, and the document type is consistent across all 85 files. Structural variation in PDF layout is the only wrinkle, but it doesn't change the fundamental extraction logic.
Ambiguity Tolerance
High
The output schema is fully specified (six named columns, one row per contract), so success criteria are unambiguous. Edge cases like multi-phase payment terms may require a judgment call, but the agent can flag those for human review rather than guess.
Data & Tool Availability
High
The user holds all 85 PDFs and just needs to supply them to the agent. PDF parsing tools and LLM-based extraction pipelines are mature and widely available, requiring no special API access or live data feeds.
Error Cost
Low
The output is a CSV used for internal tracking, not a legally binding document. Errors are easily caught by a quick human review before the file is used for revenue recognition, and corrections are trivial to make.
Human Judgment Required
Low
The task is purely extractive — no interpretation of intent, no relationship context, and no subjective decisions are needed. Ambiguous payment terms may need a human glance, but that's a small fraction of the work.