Choosing the Right Tooling Layer for Your Agent

Short summary

When building AI agents, you can provide tools via MCPs (discoverable but context-heavy), CLIs (fast and reliable but security risks), or a hybrid approach bundling MCPs into Skills. The choice depends on your environment, security requirements, and task scope. MCPs offer better governance; CLIs are faster—the optimal solution usually sits in the middle.

• •Three tooling approaches for agent development: MCPs (all-at-startup), CLIs (fast/reliable), and hybrid Skills-based bundling
• •MCPs provide discoverability but consume ~16,500 tokens for 55 tools; CLIs are context-efficient but present sandbox/credential risks
• •Hybrid approach bundling MCPs into Skills offers the best tradeoff with thoughtful architecture and permissions

Generated with AI, which can make mistakes.