---

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