A developer shared insights into the usage patterns of their tool catalog, noting that out of 119 clients interacting with their MCP (presumably a tool marketplace or API), 92 downloaded the entire catalog. However, only two of these clients subsequently made a tool call, resulting in a low 2.2% catalog-to-attempt rate. The developer analyzed this data, distinguishing between indexers and actual users, and concluded that while a large catalog might deter some, the primary driver for tool usage appears to be direct search rather than browsing the entire catalog. AI
IMPACT Highlights low conversion rates from catalog browsing to actual tool usage, suggesting a need for better discovery mechanisms.
RANK_REASON Developer field note analyzing usage data of a tool catalog.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
