Redson Dev brief · PRIMARY SOURCE
Domain and publish date filters for Web Search on AgentCore
AWS Machine Learning · August 19, 2026
This new capability significantly refines how AI agents gather external information, enabling more precise and contextually relevant responses for a myriad of applications. The essence of the update is that AWS AgentCore's web search function, which powers AI agents, now allows developers to specify which websites agents can access and how recently those pages must have been published. This granular control means that information retrieval is not only faster and more efficient but also inherently more trustworthy, as it can be constrained to authoritative sources and current data. These filters are applied on a per-request basis, giving real-time command over the agent's information diet, with server-side enforcement ensuring reliability. This directly impacts anyone building or deploying AI agents by allowing them to drastically cut down on irrelevant or outdated information, thereby improving the quality and safety of agent outputs. Consider an indie SaaS founder in Portland, Oregon, building an AI-powered customer support chatbot for a specialized B2B software. They can now configure the bot to only search their official documentation and known industry-specific forums, ignoring general internet noise and ensuring accurate, on-topic answers. Similarly, a logistics startup in Dallas, Texas, using agents to optimize delivery routes could filter search results to only recent government transportation advisories and official weather sites, preventing agents from acting on old road closure data or unreliable forecasts. For an internal IT team at a mid-size financial firm in New York City, deploying agents to assist employees with compliance questions, they could restrict agents to approved internal knowledge bases and regulatory websites, ensuring all advice is current and compliant, greatly reducing operational risk and potential liabilities. To capitalize on this immediately, developers should review their existing agent deployments that leverage web search. Identify one specific use case where an agent currently struggles with information overload or outdated data. Then, implement a simple domain whitelist for a few trusted sources relevant to that use case, and add a "published within the last 30 days" filter. Observe the change in the agent's responses and the reduction in processing time over a short period.
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