{"id":"eigent-ai-toolathlon-gym","name":"toolathlon_gym","af_score":46.5,"security_score":41.8,"reliability_score":22.5,"what_it_does":"Toolathlon-GYM is a self-contained, locally runnable evaluation/training environment for LLM agents’ real-world tool use. It provides 503 automated multi-step tasks backed by a local PostgreSQL database and orchestrated via 25 MCP servers, running each task inside an ephemeral Docker container with automated preprocessing and evaluation scripts.","best_when":"You want repeatable, offline (no live external APIs) agent evaluation for tool orchestration across many domains with automated ground-truth checks.","avoid_when":"You need a hosted SaaS/API offering with documented REST/SDK contracts, webhooks, or guaranteed SLA; or you cannot run Docker containers and a local PostgreSQL instance.","last_evaluated":"2026-03-30T13:47:02.154607+00:00","has_mcp":true,"has_api":false,"auth_methods":["Environment variables for model provider credentials (e.g., MODEL_API_KEY) when using hosted model APIs"],"has_free_tier":false,"known_gotchas":["Tasks are intended to run sequentially because only PostgreSQL is shared across tasks (a lock file enforces this).","Credentials are required for external model APIs in the provided examples; misconfiguration will prevent runs.","Because task descriptions obfuscate tool/service brand names, agents relying on keyword matching may underperform; they should use actual tool calls and dataset context."],"error_quality":0.0}