What is agentic tool calling?
The capability of an AI agent to choose, invoke, sequence, and evaluate typed external tools as part of pursuing a goal rather than producing only text.
Why is this important?
Tool calling lets agents retrieve live data and create real effects, from querying a CRM to running code or sending a message. The agentic part is the control loop that decides which tool to use next from observed results.
How it works
The runtime presents tool names and schemas to the model, validates the selected tool and arguments, enforces permissions, executes the call, returns structured results, and lets the agent continue or stop.
Technical example
A sales agent searches an account, checks recent conversations, creates a follow-up task, drafts an email, and waits for approval before sending it.
Implementation notes
Prefer narrow typed tools, separate read and write permissions, use idempotency keys, validate inputs and outputs, bound retries and sequences, log every call, and require approval for irreversible or high-impact actions.
