A software development issue has been identified where the `tools/list` call for the MCP system is generating excessively large payloads, reaching 529 KB. This is due to the system shipping its entire tool catalog with every request, rather than caching it or using pagination by default. The large payload can exceed the context window of many AI models, leading to agents receiving incomplete tool information and failing to function correctly. A fix has been implemented to default to paginated results of 100 tools, prioritizing the most frequently used ones, while still allowing access to the full catalog via a cursor or search tool. AI
IMPACT This issue highlights the challenges of managing large tool catalogs for AI agents, potentially impacting their efficiency and reliability.
RANK_REASON The item discusses a specific technical issue and its resolution within a software system, rather than a new product release or major industry event.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →