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Designing tools an AI agent can actually use

The first agent I shipped had a tool called query . It took a string and returned rows. The model used it constantly, wrongly, and with growing desperation, because query told it nothing about what could be queried, what the schema was, or what a failure meant. Renaming it search_orders_by_customer_email and giving the parameter a real description fixed most of the behaviour without touching the model or the prompt. That is the general shape of tool design: the model’s competence with your tools is mostly a function of how well you described them. The definition is documentation for a reader who cannot ask questions A tool definition is read once, cold, by something that cannot open your codebase or ping you on Slack. Everything it needs must be in the schema. { "name" : "search_orders" , "description" : "Search a customer's orders by email address. Returns at most 50 orders, newest first. Only orders from the last 24 months are indexe...

Designing tools an AI agent can actually use

The first agent I shipped had a tool called query . It took a string and returned rows. The model used it constantly, wrongly, and with growing desperation, because query told it nothing about what could be queried, what the schema was, or what a failure meant. Renaming it search_orders_by_customer_email and giving the parameter a real description fixed most of the behaviour without touching the model or the prompt. That is the general shape of tool design: the model’s competence with your tools is mostly a function of how well you described them. The definition is documentation for a reader who cannot ask questions A tool definition is read once, cold, by something that cannot open your codebase or ping you on Slack. Everything it needs must be in the schema. { "name" : "search_orders" , "description" : "Search a customer's orders by email address. Returns at most 50 orders, newest first. Only orders from the last 24 months are indexe...