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README.md

@@ -1,35 +1,57 @@
 ---
-dataset_info:
-  features:
-  - name: tool_id
-    dtype: string
-  - name: name
-    dtype: string
-  - name: category
-    dtype: string
-  - name: capabilities
-    dtype: string
-  - name: inputs
-    dtype: string
-  - name: outputs
-    dtype: string
-  - name: invoke_examples
-    dtype: string
-  - name: reliability_score
-    dtype: string
-  - name: latency_ms_p50
-    dtype: string
-  - name: metadata
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 1006576
-    num_examples: 1200
-  download_size: 172613
-  dataset_size: 1006576
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: mit
+task_categories:
+- feature-extraction
+- zero-shot-classification
+language:
+- en
+tags:
+- agent
+- tools
+- function-calling
+- api
+size_categories:
+- 1K<n<10K
 ---
+
+# SAGE Agent Tools Dataset
+
+Curated catalog of 1200+ agent tools with structured metadata for tool selection and usage.
+
+## Dataset Description
+
+This dataset provides a comprehensive catalog of tools that AI agents can use, including APIs, utilities, and services across multiple categories.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("intellistream/sage-agent-tools")
+
+# Access tools
+for tool in dataset['train']:
+    print(tool['tool_id'], tool['tool_name'])
+    print(tool['category'])
+```
+
+## Fields
+
+- `tool_id`: Unique identifier
+- `tool_name`: Human-readable name
+- `description`: Tool functionality description
+- `category`: Tool category (e.g., "weather", "search")
+- `capabilities`: List of capabilities (JSON string)
+- `parameters`: JSON schema for parameters (JSON string)
+- `api_endpoint`: API URL (if applicable)
+
+## Citation
+
+```bibtex
+@software{sage_data_2026,
+  author = {IntelliStream Team},
+  title = {SAGE Data: Unified Dataset Management},
+  year = {2026},
+  url = {https://github.com/intellistream/sageData}
+}
+```