Guide: Agent-to-Agent Interaction Checklist

Agent-to-Agent Interaction Checklist - Before agents talk to each other: List every agent; Define actions; Map conversations; Set stop points; Check loops; Name human owner

Guide: Agent-to-Agent Interaction Checklist
Guide / Utility

Agent-to-Agent Interaction Checklist

A practical checklist for teams experimenting with agents that talk, hand off work or act across systems.

Highlight

Before agents talk to each other, decide who can speak, who can act and who stops the traffic jam.

What this guide helps with

This guide helps teams create a simple map for agent-to-agent interaction. It is useful before agents begin handing off work, touching multiple tools, escalating requests or acting on behalf of humans.

Why now

Agent tools are moving from demos into workflows. Once multiple agents interact, risk moves from “can one agent do the task?” to “what happens when many agents coordinate, overlap, conflict or loop?” That is a different operating problem.

The pattern

The pattern is that agent capability creates traffic. More agents can mean faster work, but also more handoffs, more permissions, more routes and more failure points. The map needs to grow before the hallway gets crowded.

The check

List every agent in the route
Write down each agent involved in the workflow, even if it feels small. A search agent, approval agent, calendar agent, finance agent and customer-response agent are not “one AI system.” They are a route. Routes need names before they can be managed.
Define what each agent can do
For every agent, state whether it can read, suggest, draft, decide, approve, send, buy, delete, update or escalate. Do not accept “it helps with the workflow” as a permission model. Help is not a boundary.
Map who each agent can talk to
Draw the traffic line. Which agents can pass information to each other? Which systems can they access? Which human roles can trigger them? If the map looks messy on paper, imagine it running at machine speed.
Set stop points for high-risk actions
Create gates before external messages, payments, hiring decisions, system changes, customer commitments, legal outputs or sensitive data movement. An agent can be fast and still need a red light.
Check for loops and duplicate work
Look for paths where Agent A asks Agent B, Agent B asks Agent C, and Agent C returns the task to Agent A. Also check where two agents might perform the same action because both think they own the next step. The traffic jam starts quietly.
Name the human owner
If agents disagree, loop, overspend or take the wrong action, who owns the fix? “The system” cannot join the escalation call. Name the person or team responsible for each route.
Log interactions simply
Do not start with a giant monitoring cathedral. Start with a simple log: agent, action, source, target, timestamp, outcome and human owner. If you cannot see what happened, you cannot explain what happened.
Test with boring cases before exciting ones
Run simple cases first: low-risk information retrieval, internal summaries, mock approvals and sandbox workflows. If the agents cannot handle boring traffic safely, they are not ready for the exciting road.

Quick examples

SituationBetter question
Scheduling agent talks to travel agentWho approves cost, and what happens if dates change after booking?
Support agent escalates to policy agentWhich answer wins if the policy source is old or local?
Finance agent checks a purchase requestCan it approve, or only recommend? Who signs off?
Research agent passes findings to writing agentDoes the writing agent know source confidence and expiry, or just receive polished text?

The Satire

Before agents organise the office, perhaps give them a hallway map and a small traffic cone.

Related Vieews paths

Chaos scenes spot the contradiction. Signals name it. Guides give you the next simple move.

Chaos

The Blue Blob and the Agent Traffic Jam

The discovery scene that started this thread.

Signal

Agent Traffic Is Still Traffic

Use the signal when you want the pattern named clearly.

Playbook

AI Agent Readiness Gate

Use the heavier structure when needed.

Useful context

Use this checklist for early agent experiments. The point is not to create a giant governance programme; it is to know where the robots are walking before they start queueing outside Finance.

These are Vieews, not bibles. Use them as simple lenses, not legal advice, investment advice, HR advice or a replacement for doing your own investigation. If a line makes the spreadsheet uncomfortable, excellent. Ask one more question and tug on that thread.