Repo · Benchmarks & research
ToolDiscoveryBench
Benchmark of how accurately and quickly a router picks the right MCP tool: the same golden questions run against real MCP tool catalogs (with seeded…
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Benchmark for MCP tool discovery: how accurately, fast and cheaply decision models (Jev, GPT-6 Luna), embeddings and BM25 pick the right tool, or abstain when none fits
agentsbenchmarkllm-evaluationmcptool-callingtool-routing
How builders describe it
Benchmark of how accurately and quickly a router picks the right MCP tool: the same golden questions run against real MCP tool catalogs (with seeded distractors at several catalog sizes) through TypeSafe Jev (flat, factored and hierarchical strategies), Strands Agents LLM tool calling, BM25 and…
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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