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metadata
license: mit
language:
  - en
pretty_name: Schema Mutation
tags:
  - benchmark
  - llm-evaluation
  - ai-benchmark
  - model-evaluation
  - evals
  - grading
  - openrouter
  - openai
  - mcp
  - typescript
  - agent-benchmark
  - function-calling
  - tool-use
  - openapi
  - schema-migration
task_categories:
  - text-generation
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/tasks.jsonl

Schema Mutation

Tool schemas change. Does the model call the current one?

What it measures

Whether a model follows the current tool schema after a migration — renamed fields, new required fields, changed enums, split endpoints and type changes — instead of the version it memorized.

Category: tools. Status: alpha.

How to run

$ npx benchmark-schema-mutation list
$ npx benchmark-schema-mutation run --model <model-id> --provider openrouter
$ npx benchmark-schema-mutation 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 60 tasks, one JSON object per line (kinds: 60 single).

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

Provenance

Schema Mutation provenance

This file is generated from the benchmark definition.

Seeded schema-mutation task generator

  • Kind: synthetic
  • URL: https://github.com/pooriaarab/benchmark-schema-mutation/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 for the public split (seed 20261015) or node scripts/gen-tasks.mjs --seed <n> --split hidden for a held-out split.
  • Contamination notes: All 60 public tasks are synthetic mutations of 12 hand-authored base tool schemas. The hidden split uses a different seed, which selects different values, mutation variants, field names and enum targets, and is never committed, so public tasks may enter training data without leaking final evaluation items.
  • Refresh: Change the seed, rerun the generator, and review the JSONL diff. Rotate mutation parameters quarterly.

Grader

Canonical JSON equality on the tool name and arguments after normalisation; exact matches against the pre-migration call are reported as staleSchemaUsed.

Limitations

This dataset contains only the public task split (60 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-schema-mutation benchmark, not training data; scoring requires the package's deterministic grader. See PROVENANCE.md for contamination notes.

Citation

@misc{benchmark_schema_mutation,
  author = {Pooria Arab},
  title = {Schema Mutation task data},
  year = {2026},
  url = {https://github.com/pooriaarab/benchmark-schema-mutation}
}

Links