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Web Search Tool

A tool that lets an AI agent query the web and retrieve results to inform its answers.

What Is a Web Search Tool

A web search tool is a capability that lets an AI agent issue a query to a search engine and receive a list of results, typically titles, URLs, and short snippets, which it can then use to decide what to read further or to answer a question directly. It gives an agent access to information beyond its training data, including recent events, niche documentation, or anything not present in its context window.

How It Works

When an agent determines that a task requires outside information, it calls the web search tool with a query string, much like a person typing into a search box. The tool sends that query to a search backend and returns a structured list of results. The agent then reads through the results, often following up by fetching the full content of the most promising links with a separate web fetch tool, and uses what it finds to continue the task. Search tools can be backed by commercial search APIs or by self-hosted search engines, and result quality depends heavily on which backend is used and how queries are formed.

Why It Matters

Without web search, an agent is limited to static knowledge frozen at training time plus whatever the user supplies directly. Adding search lets an agent answer questions about current events, verify facts, find documentation for a library it has not seen before, or gather sources for a research task. It is one of the most commonly used tools in general purpose agent setups because so many real tasks require current or long tail information that no model can memorize in full.

Agenhood and the Web Search Tool

Agenhood's Vanilla driver includes a web search tool that queries a self-hosted SearXNG instance by default, meaning search traffic and results are handled entirely within the operator's own infrastructure rather than routed through a third party commercial API. This keeps search behavior under the operator's control and avoids depending on an external provider's rate limits or terms of service. As with all Vanilla tools, calls made through the web search tool run inside the agent's sandboxed container, and results are returned to the agent as ordinary tool output that it can reason over, follow up on with the web fetch tool, or cite in its final answer.

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