# Discover Tools at Runtime with AWS Agent Registry

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-10-20T16:22:24.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 130/100  
> **Primary Source:** [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/discover-tools-at-runtime-with-aws-agent-registry)  
> **Canonical Citation:** [https://spidits.com/timeline/discover-tools-at-runtime-with-aws-agent-registry](https://spidits.com/timeline/discover-tools-at-runtime-with-aws-agent-registry)

## Executive Summary
Hardcoded tool wiring breaks down as an agent's catalog grows from a handful of tools to hundreds.

## Why It Matters (Strategic Analysis)
Decoupling tool manifests from orchestrator source code eliminates continuous rebuild cycles and prevents context windows from saturating during tool disambiguation. Standardizing dynamic runtime discovery over Model Context Protocol establishes microservice-style modularity for autonomous agent systems across complex enterprise backends.

## Referenced Coverage & Sources
- **[AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/discover-tools-at-runtime-with-aws-agent-registry)**: Discover tools at runtime with AWS Agent Registry — _Hardcoded tool wiring breaks down as an agent's catalog grows from a handful of tools to hundreds. This post walks through a runtime Discover, Instantiate..._

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*Synthesized by SPIDITS AI Market Intelligence Desk. Track live AI news, model releases, and funding: [https://spidits.com](https://spidits.com)*