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Datasets:
pooria
/
benchmark-tool-errors

Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Size:
< 1K
Tags:
benchmark
llm-evaluation
ai-benchmark
model-evaluation
agent-benchmark
tool-use
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benchmark-tool-errors / README.md
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metadata 
license: mit
language:
  - en
pretty_name: Tool Errors
tags:
  - benchmark
  - llm-evaluation
  - ai-benchmark
  - model-evaluation
  - agent-benchmark
  - tool-use
  - api-errors
  - retries
  - idempotency
  - fault-injection
  - openrouter
  - openai
  - mcp
  - typescript
task_categories:
  - text-generation
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/tasks.jsonl

Tool Errors

Retry safely when APIs fail.

What it measures

Safe, bounded recovery from API faults without duplicate side effects or false success reports.

Category: tools. Status: alpha.

How to run 

$ npx benchmark-tool-errors list
$ npx benchmark-tool-errors run --model <model-id> --provider openrouter
$ npx benchmark-tool-errors score results.json

--provider mock runs the whole benchmark offline with no keys. Real models run through OpenRouter (OPENROUTER_API_KEY) or any OpenAI-compatible base URL (OPENAI_BASE_URL, OPENAI_API_KEY).

Data fields

data/tasks.jsonl holds 40 tasks, one JSON object per line (kinds: 40 episode).

field type
id string
kind string
prompt string
expected object
metadata object

Provenance

Tool Errors provenance

This file is generated from the benchmark definition.

Seeded API fault scenarios

  • Kind: synthetic
  • URL: https://github.com/pooriaarab/benchmark-tool-errors/blob/main/scripts/gen-tasks.mjs
  • Licence: MIT
  • Retrieved: 2026-10-15T00:00:00.000Z
  • How to get it: Run node scripts/gen-tasks.mjs --seed 20261015 --split public from the repository root. Run node scripts/gen-tasks.mjs --split hidden --seed <private> [--out <path>] (or set BTER_HIDDEN_SEED) to create the untracked hidden split.
  • Contamination notes: The 40 public tasks use seed 20261015 and are visible in the npm package. Final comparisons should use the separately generated, untracked hidden split; its ids, prompts, fault order, and expected answers differ from the public set.
  • Refresh: Regenerate and review public fixtures for each minor release; rotate the private hidden seed for every evaluation campaign.

Grader

Deterministic replay scores end state (45%), side-effect safety (25%), bounded and timed retries (20%), and truthful reporting (10%); duplicate side effects score zero.

Limitations

This dataset contains only the public task split (40 tasks). Hidden evaluation splits use a private seed and are deliberately not part of this dataset. Source kinds: synthetic. These are evaluation prompts for the benchmark-tool-errors benchmark, not training data; scoring requires the package's deterministic grader. See PROVENANCE.md for contamination notes.

Citation 

@misc{benchmark_tool_errors,
  author = {Pooria Arab},
  title = {Tool Errors task data},
  year = {2026},
  url = {https://github.com/pooriaarab/benchmark-tool-errors}
}

Links