At what tool count does your agent start getting dumber?
Summary
The author discusses how AI agents' reasoning degrades with too many tools, noting a cap of 20 tools by Genie Code, and invites community discussion on solutions.
Similar Articles
do agents get worse to maintain as you add more tools?
Explores the potential challenges of maintaining AI agents as the number of integrated tools increases, questioning scalability and complexity.
Your agent gets dumber the longer a session runs
The article discusses how AI agent performance degrades over long sessions due to context window clutter from raw history, tool outputs, and repeated reasoning, and suggests solutions like summarizing old turns and trimming tool outputs to extend useful run length.
@hanakoxbt: your agent has thirty tools. it calls two of them. the other twenty eight are not sitting idle somewhere. they are in t…
Unused tools in an AI agent's toolset still consume tokens and add noise to tool selection, so agents should load only the tools required for the current task.
How should agents handle those tools that are very useful for beginners but will limit their development in the later stages?
Discusses whether AI agents should recommend tools based on users' current needs or consider future scalability, and how to communicate potential long-term limitations.
@alex_prompter: My agents kept getting dumber every time I gave them more tools. The reason is mechanical. Every MCP server you connect…
Ratel is an open-source tool that reduces input tokens by 79% and improves tool selection accuracy for AI agents by loading only needed tools using a BM25 index, instead of all available tools.