AdvancedMulti-Agent SystemsFree prompt

Define Handoff Contracts Between Specialized Agents

Write the exact input/output schemas and handoff rules so agents pass work cleanly without losing context.

Eliminate the most common multi-agent failure — broken handoffs — by making every transfer a typed, validated contract.

handoffschemacontractspipelinevalidation

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Prompt objective

Eliminate the most common multi-agent failure — broken handoffs — by making every transfer a typed, validated contract.

Real use case

In a sales-ops pipeline, the qualifier agent and the proposal agent keep mis-aligning on what counts as a "qualified" lead, so proposals get generated for bad-fit prospects.

Customize these fields first

AGENT A → AGENT B → AGENT CDESCRIBE EACHWHERE HANDOFFS BREAK

Replace the placeholders with your own context before you run the prompt. That usually improves the first output more than adding more instructions later.

Prompt

You are designing the handoff contracts between agents in a pipeline so work transfers cleanly.

Pipeline stages (in order): [AGENT A → AGENT B → AGENT C]
What each agent does: [DESCRIBE EACH]
The problem today: [WHERE HANDOFFS BREAK]

For every handoff (A→B, B→C, ...), specify:
1. Preconditions that must be true before the upstream agent is allowed to hand off.
2. The exact payload schema (fields, types, required vs optional, example values).
3. Validation the downstream agent runs on receipt, and what it does if validation fails (reject back, request clarification, escalate).
4. The minimal context that travels with the handoff so the downstream agent does not need to re-derive it.
5. An idempotency / dedup rule so a retried handoff is not processed twice.

Finish with one end-to-end example payload flowing through the whole pipeline.

Open directly in an AI — the text is pre-filled:

How to use this prompt

  1. 1Replace the key placeholders first: AGENT A → AGENT B → AGENT C, DESCRIBE EACH, WHERE HANDOFFS BREAK.
  2. 2Replace any bracketed placeholders like [this] with your own context.
  3. 3Add extra background information when you want more tailored results.
  4. 4Combine multiple prompts in one conversation when you need a richer output.
  5. 5Save your best-performing prompts so they are easy to reuse later.

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