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data_files: "TPS-EASY.jsonl"
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- config_name: TPS-HARD
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data_files: "TPS-HARD.jsonl"
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data_files: "TPS-EASY.jsonl"
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- config_name: TPS-HARD
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data_files: "TPS-HARD.jsonl"
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---
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# TPS-Bench: Evaluating AI Agents’ Tool Planning & Scheduling Abilities in Compounding Tasks
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[](https://arxiv.org/abs/2511.01527)
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[](https://github.com/hanwenxu1/mcp-agent)
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## Dataset Description
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**TPS-Bench** is a benchmark designed to evaluate the tool planning and scheduling capabilities of AI agents in compounding tasks. Unlike standard tool-use benchmarks that focus primarily on simple sequential execution, TPS-Bench assesses an agent's ability to handle task dependencies, concurrent execution, and complex temporal constraints.
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### Subsets
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Currently, the benchmark releases two data subsets:
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* **TPS-EASY**: Contains 100 instances. Features shorter dependency paths, suitable for evaluating foundational planning capabilities.
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* **TPS-HARD**: Contains 100 instances. Involves highly complex, long-chain dependencies and multi-tool parallel scheduling scenarios, requiring advanced logical reasoning and precise temporal execution.
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