AI Agents May Soon Use a Dedicated Search Standard to Find and Deploy Tools at Runtime
A new open standard could soon give AI agents their own search engine for discovering and using tools at runtime.
The initiative, backed by Microsoft and Google, aims to solve a key limitation with current AI agents: their reliance on predefined tools and integrations. Under the proposed standard, an AI agent running a task could automatically search for available tools, evaluate their suitability, and integrate them into its workflow without manual configuration.
The approach mirrors how developers today search for and incorporate libraries or APIs into their code. Instead of an agent being limited to a fixed set of capabilities, it would be able to query a registry of tools, assess which ones are relevant to its current objective, and invoke them as needed.
Details on the technical specification and timeline for broader adoption remain limited, but the involvement of two major technology companies suggests the standard could gain traction if finalized. Such a framework could lower the barrier for building more capable AI agents that adapt dynamically to varied tasks.
The development reflects a broader trend toward making AI systems more modular and extensible, rather than relying solely on training-time knowledge or hardcoded functionality.