signal.

Discover tools at runtime with AWS Agent Registry

Runtime discovery with AWS Agent Registry can help address a problem that agent demos might hide. Hardcoded tools work fine for a handful, start to degrade at a few dozen, and become unmanageable beyond that. Enterprise systems expose hundreds of internal APIs for pricing, support, orders, inventory, and customer data. In these systems, the model can spend more tokens disambiguating tool names than reasoning about the user’s request. Each new capability requires a code change in the orchestrator, a redeploy, and a coordinated release across teams that would much rather ship on their own cadence. This pattern can arise across enterprise software as a service (SaaS) engagements where teams expose large internal API surfaces to agentic consumers. Build-time wiring can become a bottleneck as the catalog expands. One approach is to change how the orchestrator accesses its tools: instead of compiling every tool into the agent, the agent can discover relevant tools at runtime. AWS Agent Regi…

Why it matters

Runtime discovery with AWS Agent Registry can help address a problem that agent demos might hide Reported by AWS Machine Learning on October 20, 2026.