A developer building mcpgrade, an MCP server evaluation tool, discovered that its LLM-powered eval was producing false failure rates because it generated single-step tasks for tools requiring multi-st…
A lint scan of 36 popular MCP servers found that one-third received a D or F grade for agent usability, with MongoDB's official server scoring 66 (66 errors), Notion's official server scoring 62, and …
A developer building AI agent tool integrations launches a blog to document failures and lessons from production use, covering MCP servers, tool design for LLMs, eval harnesses, and agent system econo…
A production AI agent integrator identifies five failure modes that cause large language models to misuse tools, including undocumented parameters, competing tool names, prose constraints instead of s…