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Tag: tool definitions

  • Docker: You are Doing MCP Wrong: 3 Big Misconceptions

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/mcp-misconceptions-tools-agents-not-api/ Source: Docker Title: You are Doing MCP Wrong: 3 Big Misconceptions Feedly Summary: MCP is not an API. Tools are not agents. MCP is more than tools. Here’s what this means in practice. Most developers misread the Model Context Protocol because they map it onto familiar API mental models. That mistake breaks…

  • Cloud Blog: Cloud CISO Perspectives: How Google secures AI Agents

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/identity-security/cloud-ciso-perspectives-how-google-secures-ai-agents/ Source: Cloud Blog Title: Cloud CISO Perspectives: How Google secures AI Agents Feedly Summary: Welcome to the first Cloud CISO Perspectives for June 2025. Today, Anton Chuvakin, security advisor for Google Cloud’s Office of the CISO, discusses a new Google report on securing AI agents, and the new security paradigm they demand.As…

  • Simon Willison’s Weblog: claude-trace

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/2/claude-trace/ Source: Simon Willison’s Weblog Title: claude-trace Feedly Summary: claude-trace I’ve been thinking for a while it would be interesting to run some kind of HTTP proxy against the Claude Code CLI app and take a peek at how it works. Mario Zechner just published a really nice version of that. It works…

  • Simon Willison’s Weblog: Function calling with Gemma

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/26/function-calling-with-gemma/#atom-everything Source: Simon Willison’s Weblog Title: Function calling with Gemma Feedly Summary: Function calling with Gemma Google’s Gemma 3 model (the 27B variant is particularly capable, I’ve been trying it out via Ollama) supports function calling exclusively through prompt engineering. The official documentation describes two recommended prompts – both of them suggest that…

  • Hacker News: Building Effective "Agents"

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    system automation
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    Source URL: https://www.anthropic.com/research/building-effective-agents Source: Hacker News Title: Building Effective "Agents" Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into building effective large language model (LLM) agents, emphasizing simplicity over complexity in implementations. It categorizes agentic systems, detailing workflows and frameworks that can enhance LLM capabilities, and gives practical advice for…

  • Docker: Extending the Interaction Between AI Agents and Editors

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    system automation
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    Source URL: https://www.docker.com/blog/extending-the-interaction-between-ai-agents-and-editors/ Source: Docker Title: Extending the Interaction Between AI Agents and Editors Feedly Summary: We explore the interaction of AI agents and editors by mixing tool definitions with prompts using a simple Markdown-based canvas. AI Summary and Description: Yes Summary: The text outlines an exploration of AI developer tools by Docker, focusing on…

  • Cloud Blog: GenOps: learning from the world of microservices and traditional DevOps

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    system automation
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    Source URL: https://cloud.google.com/blog/products/devops-sre/genops-learnings-from-microservices-and-traditional-devops/ Source: Cloud Blog Title: GenOps: learning from the world of microservices and traditional DevOps Feedly Summary: Who is supposed to manage generative AI applications? While AI-related ownership often lands with data teams, we’re seeing requirements specific to generative AI applications that have distinct differences from those of a data and AI team,…