Tool coordination complexity increases with the number of tools
More tools mean disproportionately higher costs for coordinating agents.
The complexity and 'tax' of coordinating agents increase significantly as the number of tools required for a task grows.
When an agent system needs to use many different tools, the effort involved in managing the interactions and ensuring proper coordination between agents becomes much higher. This 'tool-coordination trade-off' can outweigh the benefits of having more tools.
As tasks require more tools (e.g., 16+), the coordination overhead increases disproportionately.
Be aware that as agent systems use more tools, the effort to coordinate them grows faster than linearly. This increased complexity can impact overall performance and efficiency.
Do not overlook the coordination overhead when designing agent systems that rely on a large number of tools.
- Towards a science of scaling agent systems: When and why agent systems work ↗Google Research · Google Research Blog · Jan 28, 2026 · paraphrased
First seen on Subvolts Jan 28, 2026. Updated Sep 11, 2026. Spotted a problem? Tell us.
- Towards a science of scaling agent systems: When and why agent systems workGoogle · Google Research Blog · Jan 28, 2026
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Questions people ask
- Which AI tools does this work with?
- Any current model. It was seen with in the sources.
- Where did this come from?
- Google Research (Google Research Blog). Subvolts collected, normalized and credited it; the link above opens the original.