How can resellers keep evaluation answers out of customer-visible task inputs?
Evaluation packaging should separate model-visible evidence from scoring material and inspect accidental clues introduced by filenames, metadata and derived labels.
**What counts as answer leakage in a handover pack?**
Leakage occurs when the task input exposes information the model is supposed to infer. A field such as `expected_receiving_team` is an obvious case. A filename containing the rejection reason can create the same problem even if the record body is clean.
**Why is this a reseller concern?**
Repackaging can accidentally merge evaluator metadata into customer-visible rows. Catalogue previews, export transformations and convenient flattened tables can reveal solution fields that were originally separate from the evidence.
**What should buyers inspect?**
Ask for a field-level visibility contract that distinguishes task inputs, evaluator-only material and descriptive metadata. Inspect the actual exported files, including paths and partition names, rather than relying solely on schema descriptions.
**How can the separation be tested?**
Run an evaluation using only metadata and another with the substantive case evidence removed. Strong performance under those conditions warrants investigation into shortcuts. A reseller should also check whether related cases cross training and evaluation splits, allowing a customer model to recognise a previously encountered solution instead of reasoning through the handover.
Preserve evaluation meaning when converting generated packs into marketplace products or customer-specific exports.
- Audience:
- Licensed resellers
- Content type:
- FAQ
- Buyer question:
- How to evaluate it
Content release: r-a220eb6e099b243b
Related questions
- When should escalation count as a successful agent outcome?
- What should buyers inspect before trusting a generated handover sample?
- How can an evaluation test safe retries after an uncertain tool response?
- How can an evaluation expose decisions based on stale evidence?
- How should handover evaluation go beyond checking task completion?
- How can we tell whether an agent learned the handover rule rather than a routing shortcut?