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返回消息，而不只是文本

将提示词输出组织为结构化聊天消息。

返回消息，而不只是文本 是 CoddyKit 上的免费 MCP Academy 课时。这是第 3 节课，共 4 节。你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。这是 MCP Academy 学习路径的一部分，你的进度在网页和 CoddyKit 应用中同步。 MCP Academy 课程共包含 4 节课。

本课时的部分内容尚未翻译，以英文显示。

Beyond a Single String

A prompt can do more than return one line. It can return a list of messages to seed a richer, multi-turn opener. 🗂️

Messages Have Roles

Each message carries a role, usually user or assistant. Roles let you stage a short back-and-forth before the user even types.

The Message Helpers

The SDK gives you UserMessage and AssistantMessage helpers so you can build chat turns without hand-writing the raw structure.

from mcp.server.fastmcp.prompts import base

@mcp.prompt()
def ask() -> list[base.Message]:
    return [base.UserMessage("Help me debug.")]

Return a List

To send several turns, return a list of these message objects. The host replays them in order as the conversation's start.

return [
    base.UserMessage("Explain this error."),
    base.AssistantMessage("Sure, paste it in.")
]

A Single String Still Works

Returning a plain string is just shorthand: the SDK wraps it as one user message. Lists give you finer control over the setup.

Stage the Assistant

An AssistantMessage can prime the model's persona or remind it of rules, so the conversation begins already on the right track.

Set Up Context

Use opening messages to plant context, like coding standards or a role, that the model should keep in mind throughout the task.

Mix Arguments In

You can still slot arguments into any message in the list. The user's inputs flow into a structured conversation, not just one line.

@mcp.prompt()
def debug(error: str) -> list[base.Message]:
    return [base.UserMessage(f"Fix this error:\n{error}")]

Order Matters

The list order is the turn order. Lead with context or a system-style note, then the user's request, so the model reads it naturally.

Why Use Messages

Structured messages shape a better starting point than one blob of text, especially for tasks that need setup before the real ask.

Keep It Lean

A couple of well-placed turns beat many. Each extra message costs tokens, so include only what truly improves the result.

Quick Check

Let's pin down the richer return type.

Recap: Message Output

Well done! Prompts can return a list of role-tagged messages built with UserMessage and AssistantMessage to stage a richer opener. ✅

常见问题解答

「返回消息，而不只是文本」课时是免费的吗？

是的 — 「返回消息，而不只是文本」的完整文本可在网页上免费阅读。要进行交互式练习（内置代码编辑器和全天候 AI 导师）并解锁 MCP Academy 课程的其余内容，请升级到 CoddyKit PRO。 MCP Academy 课程共包含 4 节课。

「返回消息，而不只是文本」这节课中我会学到什么？

将提示词输出组织为结构化聊天消息。你通过在浏览器中直接运行的动手代码来练习 MCP Academy，全天候 AI 导师会在你学习这节课的过程中回答你的问题。

学习 MCP Academy 需要有经验吗？

无需任何先前经验。CoddyKit 上的 MCP Academy 课程适合初学者到高级学习者，你可以从这里开始或从头开始，按照自己的节奏学习。这是第 3 节课，共 4 节。

「返回消息，而不只是文本」课时需要多长时间？

大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动，所以你能稳步进步，并在网页和应用中从离开的地方继续。

我能在这节 MCP Academy 课中编写并运行代码吗？

能。每节 MCP Academy 课都包含内置代码编辑器，你可以在浏览器中直接编写并运行真实代码，并获得即时 AI 反馈 — 无需本地设置。

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