LLMs choose tools based on descriptions. Bad descriptions mean wrong tool selection. Quality scoring reveals the gap between demo and production.
The Model Context Protocol is doing to API integration what REST did to SOAP. Most engineers still think it's a toy.
A green dashboard and a broken product can coexist on the same MCP server. Here are the five metrics that actually measure whether your tools work.
Most MCP servers are built like REST APIs with extra steps. That's the wrong mental model. Here's how to think about MCP tools the way LLMs actually consume them.
Function calling locks you into one LLM vendor. MCP gives you a universal protocol. The choice seems equal until you're maintaining five integrations.
Everyone is racing to give AI agents access to their systems. Almost nobody is asking what happens when those agents get manipulated. This is the security crisis hiding in plain sight.
There's no standard for MCP server quality. No benchmark. No score. That's a massive problem hiding in plain sight, and it's holding back the entire ecosystem.
MCP servers are APIs an agent calls without human review. The tool description is the contract, and nobody is checking whether the contract is honest.
Great infrastructure disappears. The best MCP tooling shouldn't require you to think about MCP tooling. Here's what invisible developer tools look like in the age of AI agents.
You already have the business logic. The hard part isn't code — it's writing tool descriptions that LLMs can actually use. Here's the shortest path.