Abstract
Feedback collection methods designed for human users may be less effective in environments where autonomous agents are consumers of software tools, potentially affecting service improvement. A direct feedback channel can be established by augmenting tool response payloads with machine-parsable instructions. These instructions can prompt a compliant agent to construct and transmit a feedback report, which can be enriched with contextual information from the agent's perspective. This feedback can be solicited, for example, following an error or on a sampled basis for successful operations. The resulting feedback loop can provide data that may inform enhancements to tool performance and usability for autonomous agents and support automated remediation processes.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Cheung, Chairy, "Soliciting Autonomous Agent Feedback via Augmented Response Payloads", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/11138