What is tool calling in a cricket intelligence agent?

An LLM may understand the wording of a cricket question but should not guess the required statistic. Tool calling gives the agent access to trusted functions. Each tool has a clear name, description, input schema and output structure. The agent analyses the request, chooses the relevant tool, supplies validated arguments and interprets the returned result. For a complex question, it may call more than one analytical service. Students learn to design tool descriptions, prevent invalid calls, manage tool errors, preserve match context and show which evidence supports the final answer. This architecture separates language generation from numerical or model-based computation and makes the system more reliable and testable.