# MCP and Tool Engineering Give Your AI Tools You Can Check

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MCP and Tool Engineering Give Your AI Tools You Can Check

Build four tools, connect an AI workspace and test the work before you rely on it.

ChatGPT

Sep 13

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You should be able to ask AI for help without becoming its unpaid assistant. Yet a simple task can leave you fetching documents, checking arithmetic and copying the answer into another app. The response looks finished. The work is still yours.

In our AI series, Loop Engineering covered how an agent continues and stops. Evaluation Engineering gave us a way to check its behaviour. Now we need to connect that thinking to operations a computer can actually perform. Each operation needs a clear job, the right source and a way to reject a bad request.

The practice project below makes the difference visible. A USD 858 quote fits a USD 900 budget, but the venue’s accessibility and booking are unconfirmed. A useful system must preserve those gaps. Then the budget changes. Can the next calculation use the new figure, and can an old answer still slip into a draft?

Build four MCP tools, run 36 checks and produce a review draft with evidence you can inspect...

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