MCP AI Agent Readiness: Will Agents Pick Your Tools? (2026)

Description and use

<p><strong>📖 TL;DR</strong></p> <ul> <li> <strong>An agent picks your tools from their names, descriptions and schemas.</strong> Nothing else. If those are vague, it picks wrong.</li> <li> A normal MCP test can't see this. <strong>Every call returns 200 whether the model chose well or not.</strong> </li> <li> <strong>AI Readiness</strong> is a new MCP Playground workspace that measures <em>MCP AI agent readiness</em>: free structure checks, then an AI review.</li> <li> The <strong>AI Agent Readiness Review</strong> gives a 0–100 score, a question bank of up to 120 real user questions, ready-t

Problem

<p><strong>📖 TL;DR</strong></p> <ul> <li> <strong>An agent picks your tools from their names, descriptions and schemas.</strong> Nothing else. If those are vague, it picks wrong.</li> <li> A normal MCP test can't see this. <strong>Every call returns 200 whether the model chose well or not.</strong> </li> <li> <strong>AI Readiness</strong> is a new MCP Playground workspace that measures <em>MCP AI agent readiness</em>: free structure checks, then an AI review.</li> <li> The <strong>AI Agent Readiness Review</strong> gives a 0–100 score, a question bank of up to 120 real user questions, ready-t

Outcome

<p><strong>📖 TL;DR</strong></p> <ul> <li> <strong>An agent picks your tools from their names, descriptions and schemas.</strong> Nothing else. If those are vague, it picks wrong.</li> <li> A normal MCP test can't see this. <strong>Every call returns 200 whether the model chose well or not.</strong> </li> <li> <strong>AI Readiness</strong> is a new MCP Playground workspace that measures <em>MCP AI agent readiness</em>: free structure checks, then an AI review.</li> <li> The <strong>AI Agent Readiness Review</strong> gives a 0–100 score, a question bank of up to 120 real user questions, ready-t

Evidence

MCP AI Agent Readiness: Will Agents Pick Your Tools? (2026)

Source