How do you speed up a slow tool in an LLM agent?

Tanishk's fix in Gaurav Sen's mock interview is to avoid the call when the data rarely changes. Employee facts such as the number of leaves can be stored in the backend ahead of time and passed straight into the system prompt as an extra instruction. The same review applies to every tool: some do mundane work whose output could simply sit in the model's context.

• Tanishk also asks whether all five tools are needed at all.

Source: our own transcription of the episode. The full conversation is on Gaurav Sen (2026-10-16). Read the whole episode summary →

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