You carefully built a Model Context Protocol (MCP) tool that returns precise data. It reports 400 milliseconds, but your AI assistant says 321. Where did the value change, and how can you prevent it? Even perfect tool output can lose fidelity when a model interprets and repeats it. Today, I’ll show you where that risk enters the workflow and how to keep exact data in deterministic code.

Copilot CLI may feel like a personal assistant, but it is actually more like a team of specialists. If you provide the right prompt, you can have those specialists introduce themselves and describe how they can each help you to get more done.

Relative script paths look like the portable choice for an Agent Skill – right up until Copilot runs one from the workspace root and spends another turn recovering. A small SKILL.md convention can help the model resolve the real script path before execution, avoiding the failed call and making your skill load more efficiently.