Agent-Native Architecture FAQs

Question 1

Can I use this skill to build MCP tools?

Accepted Answer

Yes, this skill provides specific guidance on designing Model Context Protocol (MCP) tools that serve as the building blocks for agent-driven workflows.

Question 2

What is the Action Parity principle?

Accepted Answer

Action Parity ensures that for every capability available in a software's user interface, there is a corresponding tool or set of primitives that the agent can use to achieve the same result.

Question 3

What does it mean for an application to be agent-native?

Accepted Answer

An agent-native application is designed from the ground up so that an AI agent can perform any action a human user can, typically by using atomic tools in an iterative loop to achieve specific outcomes.

Question 4

How does granularity affect agent performance?

Accepted Answer

Granular, atomic tools empower agents to make their own decisions. When you bundle complex logic into a single tool, you limit the agent's ability to adapt or combine primitives in ways you didn't explicitly program.

Question 5

Does this skill help with existing codebases?

Accepted Answer

Absolutely. It includes patterns for refactoring existing applications to make them more 'prompt-native' and accessible to autonomous agents.

Agent-Native Architecture

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Características Principales

Casos de Uso

Agent-Native Architecture

Acerca de

Características Principales

Casos de Uso