Why is tool calling considered safer/more useful than asking the LLM to just 'know' an answer?

It grounds the model's response in real, live, verifiable data (current stock price, actual database record) fetched by deterministic code you control, rather than the model guessing from static training data that may be outdated or simply wrong — it turns the LLM from an all-knowing oracle into an orchestrator that decides WHEN to fetch real data and how to phrase the result.