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Integrate Linkup for Web Scraping with 'Tool Scout'

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Linked challenge: Cyber Threat Intelligence Agent with Google ADK and Qwen 3

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Linked challenge

Cyber Threat Intelligence Agent with Google ADK and Qwen 3

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Original prompt text with formatting preserved for inspection.

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Develop a tool for the 'Tool Scout' agent that uses the Linkup API to perform targeted web searches and extract information about cybersecurity tools. The tool should accept search queries like 'best ransomware protection tools 2024' and return relevant snippets or structured data. Show how to register this tool with the Google ADK 'Tool Scout' agent.

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Update libraries, interfaces, and environment assumptions to match the stack you actually run.

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Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.

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This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Cyber Threat Intelligence Agent with Google ADK and Qwen 3

This challenge involves creating a sophisticated multi-agent system using Google's Agent Development Kit (ADK) to identify robust tools and strategies for combating cybercrime, drawing inspiration from headlines about executive orders on cybersecurity. The core task is to analyze policy documents, research existing and emerging cyber defense technologies, and synthesize comprehensive intelligence reports. The system will primarily leverage Qwen 3 for its advanced reasoning and language understanding capabilities, allowing agents to dissect complex policy language and technical specifications. Agents will be designed using Portia principles for structured development, ensuring modularity and clear responsibilities. To gather real-time threat intelligence and tool specifications, the 'Cyber Threat Scout' agent will utilize Linkup for targeted web scraping and search. Arcee AI will be integrated to optimize model routing and benchmarking for different query types, ensuring the most cost-effective and performant LLM is used. Finally, Cartesia will provide a natural voice interface, allowing users to verbally query the system and receive spoken intelligence briefings, enhancing accessibility and real-time interaction.

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