🤖 The Modern AI Developer · Letting AI Actually Do Things: AI IDEs & Tooling

How to Design Good Tools for AI Agents: Best Practices

Small and clear, single responsibility, well described

一句话先懂 · TL;DR

Practical rules for agent tool design: keep each tool small with a single responsibility, and write tool descriptions the model can actually understand and use.

A Tool Is Like a Button on a Remote

Ideally a tool you give an Agent is like a button on a remote: you can tell what it does at a glance, and pressing it does just one thing.

🔆You don't want one all-purpose button labeled "Process"—you want clear ones like "Volume +" and "Mute."

Single Responsibility: One Tool Does One Thing

Don't build a "Swiss Army knife" tool. Cram too many functions into one tool and the model struggles to tell when to use it and how to fill in the parameters.

# 不好:一个工具啥都干
def handle_user(action, data): ...

# 好:拆成单一职责
def get_user(user_id: str) -> dict:
    """按用户 ID 查询用户资料。"""
    ...
def update_user_email(user_id: str, email: str) -> bool:
    """更新指定用户的邮箱。"""
    ...
💡Once split small, each tool's purpose and parameters are clearer, and the model picks more accurately.

The Description Is the Manual the Model Reads

The model decides when to call a tool based on its name + description. Write the description clearly and call accuracy jumps right up.

def send_invoice(order_id: str) -> str:
    """给指定订单生成并发送发票。仅在用户明确要发票时调用。"""
    ...
⚠️A vague description means the model either won't use it when it should or misuses it—the fault isn't the model's, it's your manual.

自测 · 学完检查一下

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What's the benefit of a "single-responsibility" tool?

答案:Clearer purpose and parameters, so the model picks better

A tool that does just one thing makes it easier for the model to judge when to use it and how to fill in the parameters.

Judge: stuffing multiple functions into one "all-purpose tool" helps the model use it more accurately.

答案:False

Piling functions together actually makes it harder for the model to judge when to use it and how to fill in parameters—split into single responsibilities.

Judge: is the tool below well designed?

def do(t, v):
    return run(t, v)

答案:Not well

The name `do` and parameters `t`/`v` reveal no meaning, and there's no description—the model has no basis to judge when to call it.

Which tool definition best meets the standard of a "good tool"?

答案:def get_order_status(order_id: str) -> str: Query the current status of a given order.

A clear name, single responsibility, meaningful parameters, and a description that states the purpose—that's a good tool.

The model mainly relies on a tool's name and ___ to decide when to call it.

答案:description

Name plus description is the manual the model reads; write it clearly and it calls accurately.

Judge: if a vague tool description leads to misuse, the problem is mainly in the tool design, not the model.

答案:True

The description is the manual for the model; if the manual is vague, the fault for a wrong call lies with the designer.

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