How did you handle cases where the retrieved context was incomplete or irrelevant?

When the context we retrieve—whether from a database, API, or log—is incomplete or irrelevant, we first validate it against a schema or set of expectations. If validation fails, we log the issue, flag the record, and either discard it or enrich it with default values. For missing but non‑critical fields, we apply fallback logic such as using a cached value or a placeholder. If the context is irrelevant (e.g., wrong user ID), we drop the record and record the mismatch for audit. In production, we also expose metrics (e.g., percentage of incomplete contexts) to alert ops. This approach keeps downstream processes clean while providing traceability for data quality issues.