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Details

Schema

Code

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Tool Name *

Category *

Description *

Input Schema (JSON Schema) *

Define the input parameters your tool accepts using JSON Schema format. This helps validate inputs and generate documentation.

JSON Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "The search query or input text"
    },
    "limit": {
      "type": "integer",
      "description": "Maximum number of results to return",
      "default": 10
    }
  },
  "required": ["query"]
}

Sample Input (JSON)

Provide sample input data that matches your schema. This will be used for testing and documentation.

Sample Data

{
  "query": "example search",
  "limit": 5
}

Implementation Code (Python) *

Write Python code to implement your tool. Access input via input_data dictionary and set the data variable with your results.

Smart Runtime Framework

                                    
                                    Your code runs in a secure, managed environment with automatic result handling:
                                
# Available variables and structure:

# 1. Input data (validated against your schema)
query = input_data.get('query', '')
limit = input_data.get('limit', 10)
format_type = input_data.get('format', 'json')

# 2. Your implementation logic
results = process_query(query, limit)
processed_data = format_results(results, format_type)

# 3. Set output data (required)
data = {
    'results': processed_data,
    'count': len(results),
    'query': query
}

# 4. Optional: Custom success message
message = f"Successfully processed {len(results)} results"

# System automatically creates response:
# {
#     "success": True,
#     "data": data,
#     "message": message or "Tool executed successfully",
#     "execution_time": "0.123s"
# }

Python Implementation

# Access input parameters from input_data dictionary
query = input_data.get('query', '')
limit = input_data.get('limit', 10)

# Implement your tool logic here
# For example, a simple mock search:
search_results = []
for i in range(min(limit, 10)):
    search_results.append({
        'id': i + 1,
        'title': f'Result {i+1} for "{query}"',
        'url': f'https://example.com/result/{i+1}?q={query}'
    })

# Set the data variable (don't set result directly)
data = {
    'results': search_results,
    'query': query,
    'total_results': len(search_results)
}

Tool Summary & Test

Review your tool configuration and test it with sample input before creating it.

Tool Configuration

Name:

Category:

Description:

Test Your Tool

Test your tool with the sample input to ensure it works as expected.

Progress

Tool Details

Input Schema

Implementation

Test & Create

Quick Help

Getting Started

Start by giving your tool a descriptive name and selecting an appropriate category.