Token Lens FAQs

Question 1

What is Token Lens and what problem does it solve?

Accepted Answer

Token Lens is an MCP server designed to optimize AI agent context window token usage. It addresses the significant token consumption by tool definitions, helping measure, compress, and eliminate this waste to improve LLM efficiency and performance.

Question 2

What kind of reports and recommendations does Token Lens provide?

Accepted Answer

Token Lens generates comprehensive context window health reports. These reports include an executive summary with a health grade, audit results, suggestions for unused tool removal, compression opportunities, and actionable recommendations to optimize token usage.

Question 3

How does Token Lens improve dynamic tool loading for AI agents?

Accepted Answer

Given a task description, Token Lens can recommend the most minimal set of tools needed, preventing the loading of unnecessary tools into the context window and thus saving tokens and enhancing responsiveness.

Question 4

Can Token Lens optimize my AI agent's tool definitions?

Accepted Answer

Yes, Token Lens can analyze the token cost of your MCP tool definitions and offers schema compression at various levels (light, medium, aggressive) to significantly reduce their footprint within the context window.

Question 5

How does Token Lens help reduce context window token usage?

Accepted Answer

It provides features to audit token budgets for tool definitions, compress verbose JSON schemas, recommend minimal tool sets for specific tasks, and analyze session usage to identify and suggest removal of unused tools, all contributing to substantial token savings.

Token Lens

Token Lens

主要功能

使用案例

主要功能

使用案例