---
license: apache-2.0
language:
- en
datasets:
- intuit/tool-optimizer-dataset
base_model:
- Qwen/Qwen3-4B-Instruct-2507
---

For information on how to do inference or training on this model go to the [Agent Tool Interface Optimizer](https://github.com/intuit-ai-research/tool-optimizer).


SFT prompt (Trace-free)
```
You are an API documentation specialist.

Rewrite the API description so an AI agent can:
1) Decide when to use this API
2) Generate valid parameters

Inputs:
- API name: {tool_name}
- Parameter schema: {parameter_json}
- Baseline description: {original_description}

Infer (do not output):
- When to use vs not use this API
- Required vs optional parameters
- Parameter meanings and constraints
- Cross-parameter dependencies or exclusions
- Common parameter mistakes
  - no examples are provided, infer from the schema and baseline description only

Write a clear API description that:
- States when to use and NOT use the API
- Does not invent or reference non-provided APIs
- Explains each parameter's meaning, type, required/optional status, constraints, and defaults
- Describes likely validation failures and how to avoid them
- Abstracts patterns into general rules
- Does not restate the full schema verbatim
- Does not mention whether examples were provided

You may replace the baseline description entirely.

Output ONLY valid JSON (no markdown, no code blocks):
{{"description": "<your improved API description here>"}}
```

Example (Before vs After)


![Screenshot 2026-02-20 at 5.23.36 PM](https://cdn-uploads.huggingface.co/production/uploads/65dcb410bda21d181b38321b/dFj0XgXancXD51iyGxC83.png)