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Most API documentation is written for humans. MCP tool descriptions are different. They are read by the model that decides what to call next. That means tool names, descriptions, schemas, and error messages are not just documentation garnish. They are part of the safety boundary. A risky MCP tool often looks like this: name: query input: free-form string description: “Run SQL against the database
At 2:17 AM, my monitoring alert yanked me out of sleep: the customer service bot had suddenly lost its memory. Users were asking “Where is my order?” three times in a row, and it kept asking for their phone number as if they were complete strangers. I opened the logs and saw that ConversationBufferMemory was loading empty message lists. The key was still there in Redis, but somehow deserialization
Ever had users sign up with [email protected] or [email protected]? Disposable email addresses are a headache for any app that relies on real user contact. I built burner-bouncer to solve this — a zero-dependency libra
I finished an English series on the way I think ordinary people can start using AI for real work. The point is not to become an AI expert first. The point is to have one place where you can say what you want, give the tool access to the right folder, and check the result. Anything important still needs a human pause: publishing, deleting, paying, or authorizing. My preferred starting point is simp
Elasticsearch Cluster Health 101: Understanding, Monitoring, and Maintaining Your Cluster Author: Prithvi S, Staff Software Engineer at Cloudera and Open‑source Enthusiast You ship your Elasticsearch cluster to production. Traffic spikes. Suddenly your dashboard flashes YELLOW. What does that mean? Are you about to lose data? Can you keep the service running? This guide teaches you how to read y
We’ve all been there: you get your blood test results back, see a bunch of numbers in bold with "High" or "Low" next to them, and immediately spiral into a WebMD rabbit hole. 😵💫 What if instead of panic-searching, you had a team of digital experts—a Medical Researcher, a Certified Nutritionist, and a Data Analyst—working together to turn those raw pixels into a personalized health roadmap? In t
The Model Context Protocol (MCP) has become the default standard for connecting AI agents to external tools and APIs. Governed by the Linux Foundation since early 2025 and adopted by OpenAI, Anthropic, Microsoft, and Vercel, MCP is the USB-C port of the AI ecosystem — one protocol that lets any LLM application talk to any tool server. But there's a gap between reading the spec and building somethi