Use Gemini function calls with a validated execution loop
Define a narrow function, validate the requested arguments and user access and return the real tool result in the supported API format.
In brief
Gemini function calling proposes a function and arguments for your application. The proposal needs validation and authorization before you run it; it is not permission or proof of execution.
A structured loop keeps a lookup, failure and confirmed action distinguishable to the user.
Define the function around one job
For a stock lookup, define the item identifier and permitted response rather than a generic arbitrary-query function. Restrict access on the server. Use the current documentation for types and declaration structure; a function schema copied from a different API may not be accepted.
Check the call before execution
Validate allowed values and the user’s resource access. Keep provider and backend secrets outside the model-visible arguments. Treat a request to send or change something differently from a read-only query, even if both use the same function-calling mechanism.
Keep the loop finite and truthful
Return the result through the documented tool-response path and inspect continuation. Bound the number of calls and handle timeouts. If a write action’s status is uncertain, reconcile it before repeating; a model asking again is not proof that the first attempt failed.
Before you act
Calling modes and supported schemas depend on the selected model and API. Automatic SDK conveniences do not remove the need for application-side controls.
What to do next
- Use the current Gemini function declaration and supported mode for the task.
- Validate arguments, allowed resources and required user authorization.
- Execute the permitted action and return its actual result, bounding follow-up calls and retries.