Let's discuss use cases of agent-to-agent collaboration.

hi, all:
How agents will collaborate in the future is a crucial premise for
designing agent protocols. I’ve added a new document that outlines a
possible use case based on my perspective. I hope we can discuss it
together, and I’d love to hear your thoughts on how you envision agent
collaboration evolving in the future.

https://github.com/w3c-cg/ai-agent-protocol/blob/main/use_case.html

The github issue is https://github.com/w3c-cg/ai-agent-protocol/issues/15

The first use case:

*Scenario Overview:* Dixon is planning a vacation to Paris and needs to
book a hotel that matches his preferences. He decides to let his Personal
Agent handle this task, demonstrating the complete workflow of modern agent
collaboration.

*Step 1 - Requirements Analysis and Search:* Dixon's Personal Agent, based
on previously authorized access to personal data (including hotel
preferences: 4-star or above, close to city center, with gym; vacation
dates: March 15-22; budget range: 200-400 euros per night), uses the agent
protocol to send a structured search request to the Search Agent. The
Search Agent performs matching within its maintained global hotel agent
network and quickly returns information for 100 qualifying hotel Service
Agents.

*Step 2 - Information Collection and Filtering:* The Personal Agent uses
Dixon's identity credentials to concurrently access these hotel Service
Agents, requesting detailed information (real-time room rates, available
room types, specific locations, facilities and services, user reviews,
etc.). Each hotel Service Agent, recognizing potential customer access,
proactively provides detailed service information and promotional offers.
After collecting all information, the Personal Agent applies Dixon's
personal preference algorithm to filter 8 best-matching hotel options from
the 100 choices, ranking them by match score before pushing them to Dixon.

*Step 3 - Booking and Payment:* After reviewing the Personal Agent's
recommended options, Dixon selects the second-ranked boutique hotel
(because the top-ranked hotel had noise issues mentioned in reviews). The
Personal Agent immediately establishes a booking session with that hotel
Service Agent, completing room reservation and booking confirmation.
However, due to security policies, the Personal Agent lacks payment
authorization. After Dixon receives the successful booking notification, he
completes payment through a secure payment interface. Once payment is
completed, the Personal Agent automatically notifies the hotel Service
Agent of the payment status and saves the complete booking information
(confirmation number, check-in details, hotel contact information) to
Dixon's personal travel profile.

*Collaboration Value:* Throughout this process, the Personal Agent serves
as Dixon's digital representative, the Search Agent provides agent
discovery services, and the hotel Service Agent provides professional
services. All three achieve seamless collaboration through standardized
agent protocols, significantly improving booking efficiency and user
experience.

*Requirements:* Agent Identity Authentication
<https://w3c-cg.github.io/ai-agent-protocol/use_case.html#agent-identity-authentication>
, Agent Discovery
<https://w3c-cg.github.io/ai-agent-protocol/use_case.html#agent-discovery>,
Agent
Description
<https://w3c-cg.github.io/ai-agent-protocol/use_case.html#agent-description>
, Agent Information Interaction
<https://w3c-cg.github.io/ai-agent-protocol/use_case.html#agent-interaction>
, Agent Transactions
<https://w3c-cg.github.io/ai-agent-protocol/use_case.html#agent-transactions>
, Privacy Protection
<https://w3c-cg.github.io/ai-agent-protocol/use_case.html#privacy-protection>
, Identity Interoperability
<https://w3c-cg.github.io/ai-agent-protocol/use_case.html#identity-interoperability>


Looking forward to the discussion!
Gaowei Chang