Context engineering is the practice of choosing the evidence, instructions, and boundaries that belong in an agent’s working set for this decision—not every decision it might make later.
Figure 04 — context as a composed packet
flowchart LR S[Sources] --> F[Filter] F --> C[Context packet] P[Permissions] --> C C --> A[Agent] A --> D[Decision] D --> L[Learning signal] L --> F
More context is not automatically better
Raw retrieval can bury the signal, create contradictions, and leak irrelevant authority into an action. The question is not “what can we include?” It is “what is the minimum credible evidence for this decision?”
A strong context packet distinguishes durable instructions from task facts, current state from historical reference, and available information from authorized information. It gives the agent a shape for using evidence rather than a pile of text to admire.
Design for relevance and refusal
- Select sources with a clear relationship to the task.
- Expose provenance so a person can inspect an answer’s footing.
- Set permission boundaries before tool access is offered.
- Give the agent a way to say the evidence is insufficient.
Context quality is measured by the decisions it improves, then protected by the harness that tests those decisions over time.
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