---

name: tool-integration description: Create custom tools, integrate external APIs, and manage tool registry. Use when extending agent capabilities with new tools. license: Apache-2.0 compatibility: Python 3.10+, Pydantic metadata: author: paracle-core-team version: "1.0.0" category: integration level: advanced display_name: "Tool Integration" tags: - tools - integration - api - custom-tools capabilities: - tool_creation - api_integration - tool_registration allowed-tools: Read Write Bash(python:*)

Tool Integration Skill

When to use this skill

Use when:

• Creating custom tools for agents
• Integrating external APIs
• Adding MCP (Model Context Protocol) servers
• Managing tool registry
• Testing tool implementations

Tool Structure

Copy# .parac/tools/custom/weather_tool.py
from pydantic import BaseModel, Field
from paracle_tools import Tool, ToolResult

class WeatherInput(BaseModel):
    \"\"\"Input for weather tool.\"\"\"
    location: str = Field(..., description=\"City name\")
    units: str = Field(default=\"metric\", description=\"Temperature units\")

class WeatherTool(Tool):
    \"\"\"Get current weather for a location.\"\"\"

    name = \"get-weather\"
    description = \"Get current weather conditions for a location\"
    input_schema = WeatherInput

    async def execute(self, input_data: WeatherInput) -> ToolResult:
        \"\"\"Execute weather lookup.\"\"\"
        # Call external API
        weather_data = await fetch_weather_api(
            location=input_data.location,
            units=input_data.units,
        )

        return ToolResult(
            success=True,
            output=f\"Temperature in {input_data.location}: {weather_data['temp']}°\",
            metadata=weather_data,
        )

Tool Registration

Copy# .parac/tools/registry.yaml
tools:
  - name: get-weather
    path: .parac/tools/custom/weather_tool.py
    class: WeatherTool
    enabled: true

  - name: web-search
    type: mcp
    server: search-mcp
    enabled: true

MCP Server Integration

Copy// .parac/mcp-servers.json
{
  \"mcpServers\": {
    \"filesystem\": {
      \"command\": \"npx\",
      \"args\": [\"-y\", \"@modelcontextprotocol/server-filesystem\", \"/workspace\"]
    },
    \"github\": {
      \"command\": \"mcp-server-github\",
      \"env\": {
        \"GITHUB_TOKEN\": \"${GITHUB_TOKEN}\"
      }
    }
  }
}

Best Practices

1. Clear tool descriptions - Help agents understand when to use
2. Validate inputs - Use Pydantic for type safety
3. Handle errors gracefully - Return clear error messages
4. Test thoroughly - Unit test each tool
5. Document usage - Provide examples

Resources

• Built-in Tools: packages/paracle_tools/builtin/
• MCP Integration: packages/paracle_mcp/
• Tool Examples: content/examples/*_tools.py