Repeatability
High
The same six fields must be extracted from each document using the same logic — this is structurally identical across all 85 files. Variation in document quality adds friction but doesn't change the task structure.
Ambiguity Tolerance
Medium
Five of the six columns are factual and extractable with high confidence. 'Key_outcomes' requires summarization judgment — the agent must decide what counts as a meaningful outcome — which introduces some subjectivity but is bounded enough for AI to handle acceptably.
Data & Tool Availability
Medium
The PDFs must be provided to the agent, and OCR tooling (e.g., AWS Textract, Google Document AI, or open-source alternatives) is readily available. Mixed-quality scans will degrade extraction accuracy on some documents, requiring either human spot-checks or confidence thresholds.
Error Cost
Low
Errors produce a CSV with some incorrect or missing values, which the user can spot-check against source PDFs. No irreversible downstream harm — this is a reference database for proposal writing, not a financial or legal instrument.
Human Judgment Required
Low
The task is extraction and light summarization, not interpretation or advocacy. A human reviewer should spot-check a sample of rows, but the core work does not require domain expertise or relational context.