Tuning Engines
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TDQS
Scored across 38 tools
Each tool targets a distinct resource and action (e.g., create_job vs. cancel_job, list_datasets vs. show_dataset). There is no overlap, and descriptions clearly differentiate related tools like estimate_job and create_job.
All tools follow a consistent verb_noun pattern in snake_case (e.g., list_models, export_model, cancel_evaluation). The naming is uniform and predictable, aiding agent selection.
38 tools is on the higher side but appropriate for a comprehensive fine-tuning platform covering jobs, evaluations, datasets, models, marketplace, inference, and account management. The scope justifies the count.
The tool surface covers the full lifecycle: job creation, estimation, cancellation, retry, and monitoring; dataset and model CRUD; evaluation workflows; account management; marketplace; and inference. No obvious gaps exist.