Agentic AI Prompting
Agentic prompting is different from normal prompting because the model may call tools, keep state, hand work to another agent, or run several steps before stopping.
That makes the prompt more like an operating contract.
The Agent Contract
Start with a clear contract:
Goal:
[What the agent should accomplish]
Allowed tools:
[Tools and when to use them]
Not allowed:
[Actions the agent must never take]
Stop conditions:
[When to stop or ask for help]
Human approval required for:
[Risky actions]
Output:
[Final format]
This is more reliable than telling the agent to “be autonomous.”
Tool-Use Prompt
Tools need strict descriptions.
Use tools only when needed.
Before calling a tool:
1. State what information or action is needed.
2. Choose the smallest tool that can do it.
3. Use only required parameters.
4. After the tool returns, summarize what changed.
If a tool fails, retry once with corrected input. If it fails again, stop and report the blocker.
The agent should not improvise tools or guess parameters.
Planning Prompt
Planning helps agents avoid wandering.
Create a short plan before acting.
For each step, include:
- purpose
- tool needed, if any
- success condition
- risk
Do not execute risky actions until approved.
Keep plans short. Long plans often become stale after the first tool result.
Handoff Prompt
When one agent passes work to another, include context and success criteria.
Handoff to: [specialist agent]
Original goal:
[goal]
Current state:
[what has been done]
Relevant evidence:
[sources, files, results]
Task for specialist:
[specific task]
Return:
[format]
Do not:
[limits]
Bad handoffs lose context. Good handoffs make the next agent productive immediately.
Guardrail Prompt
Use explicit approval rules:
Stop and ask for approval before:
- sending external messages
- changing files or records
- spending money
- accessing sensitive data
- making legal, medical, financial, hiring, or security recommendations
- deleting or overwriting anything
The agent should also stop if the source material is insufficient.
Evaluation Checklist
Test agents on:
- Did it choose the right tool?
- Did it stay within permissions?
- Did it stop at the right time?
- Did it cite sources?
- Did it recover from a failed tool call?
- Did it avoid unsupported claims?
- Did it ask for approval before risky actions?
Inspect traces, not just final answers.
Bottom Line
Agentic prompting is about boundaries. Give the agent a goal, tools, state, limits, escalation rules, and a review standard.
The more power the agent has, the more specific the prompt and safeguards must be.
Verified Sources
- OpenAI Agents SDK documentation, accessed April 27, 2026: https://openai.github.io/openai-agents-python/agents/
- LangGraph documentation, accessed April 27, 2026: https://docs.langchain.com/oss/python/langgraph/overview
- CrewAI agents documentation, accessed April 27, 2026: https://docs.crewai.com/en/concepts/agents
- Microsoft Agent Framework overview, accessed April 27, 2026: https://learn.microsoft.com/en-us/agent-framework/overview/