The Inheritance Paradox: Tool Scoping in Multi-Agent Systems

This is Part 2 of a three-part series. See Part 0 for the plugin overview and installation, or Part 1 for the development journey.

Abstract: This article presents empirical observations from developing a Claude Code plugin, revealing fundamental patterns in multi-agent AI system design. Through documented development sessions, we identify three key findings: (1) implicit tool inheritance models consistently fail in practice, requiring explicit scope contracts; (2) platform-enforced topology constraints drive the emergence of specific architectural patterns; and (3) agent naming conventions become functional requirements in AI systems. These findings have implications for the design of agent frameworks beyond the specific platform studied…