create-tool
Generate custom tool boilerplate with @tool decorator for Claude Agent SDK. Use when adding new tools to custom agents.
What this skill does
# Create Tool
Generate custom tool boilerplate with @tool decorator.
## Arguments
- `$1`: Tool name (snake_case)
- `$ARGUMENTS`: Tool description and purpose (after name)
## Instructions
You are creating a custom tool for use in custom agents.
### Step 1: Parse Arguments
Extract:
- Tool name from `$1` (required, snake_case)
- Description from remaining arguments
If no name provided, STOP and ask for tool name.
If no description provided, STOP and ask for tool purpose.
### Step 2: Identify Parameters
Based on the tool purpose, determine:
- What inputs does the tool need?
- Which are required vs optional?
- What types (str, int, float, bool)?
### Step 3: Generate Tool Definition
Create tool using @tool decorator:
```python
from typing import Any
from claude_agent_sdk import tool
@tool(
"[tool_name]",
"[Description for agent - when to use this tool]",
{
"param1": str,
"param2": int,
}
)
async def [tool_name](args: dict[str, Any]) -> dict[str, Any]:
"""
[Brief docstring]
"""
try:
# Extract parameters
param1 = args["param1"]
param2 = args.get("param2", default_value)
# Validate inputs
if not param1:
return {
"content": [{"type": "text", "text": "Error: param1 required"}],
"is_error": True
}
# Perform operation
result = perform_operation(param1, param2)
# Return success
return {
"content": [{"type": "text", "text": str(result)}]
}
except Exception as e:
return {
"content": [{"type": "text", "text": f"Error: {str(e)}"}],
"is_error": True
}
```
### Step 4: Generate MCP Server Setup
```python
from claude_agent_sdk import create_sdk_mcp_server
# Create server with tool
[server_name]_server = create_sdk_mcp_server(
name="[server_name]",
version="1.0.0",
tools=[[tool_name]]
)
```
### Step 5: Generate Agent Configuration
```python
from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient
options = ClaudeAgentOptions(
mcp_servers={"[server_name]": [server_name]_server},
allowed_tools=["mcp__[server_name]__[tool_name]"],
system_prompt=system_prompt,
model="opus",
)
# IMPORTANT: Use ClaudeSDKClient for custom tools
async with ClaudeSDKClient(options=options) as client:
await client.query(prompt)
async for message in client.receive_response():
pass
```
## Output
```markdown
## Tool Created
**Name:** [tool_name]
**Server:** [server_name]
**Tool ID:** mcp__[server_name]__[tool_name]
### Tool Definition
```python
[Generated @tool decorated function]
```
### MCP Server
```python
[Generated server setup]
```
### Agent Configuration
```python
[Generated configuration]
```
### Parameters
| Name | Type | Required | Description |
| --- | --- | --- | --- |
| param1 | str | Yes | [description] |
| param2 | int | No | [description], default: [value] |
### Usage Example
Agent prompt: "[example prompt that triggers tool]"
Expected call: [tool_name](param1="value", param2=10)
Expected result: "[expected output]"
### Testing
```python
# Test the tool directly
result = await [tool_name]({"param1": "test", "param2": 10})
assert "content" in result
assert not result.get("is_error", False)
```
### Next Steps
1. Add tool to MCP server
2. Configure agent with tool access
3. Test tool in isolation
4. Test tool through agent
## Notes
- See @tool-design skill for design workflow
- See @custom-tool-patterns.md for patterns
- CRITICAL: Use ClaudeSDKClient (not query()) for custom tools
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