How do I restrict tool access for my Claude agent?

You can define an 'allowedTools' or 'disallowedTools' array during agent initialization to strictly control which capabilities the agent can access.

Can I force the agent to ask for permission before running a tool?

Yes, by setting the 'permissionMode' to 'strict', the agent will require explicit user approval for tool execution, ensuring human-in-the-loop safety.

What is the Claude Agent SDK?

The Claude Agent SDK is a framework for building AI agents that can use tools, manage state, and interact with external systems like filesystems or APIs.

How does this skill handle tool execution errors?

It provides patterns for explicit error handling within the tool's execute function, allowing the agent to receive and react to descriptive error messages instead of failing silently.

What is the benefit of using Model Context Protocol (MCP)?

MCP provides a standardized way to connect AI models to external data and tools, making it easier to swap or upgrade servers without rewriting tool logic.

Claude Agent SDK Tool Integration

Name: Claude Agent SDK Tool Integration
Author: TheBushidoCollective

byTheBushidoCollective

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API Development

Integrates custom tools, permission controls, and MCP servers into Claude AI agents for secure environment interaction.

About

This skill provides comprehensive patterns and best practices for extending Claude AI agents via the Claude Agent SDK. It focuses on the secure orchestration of tools, from defining granular permissions and strict approval modes to implementing custom tool schemas and executing complex workflows. By leveraging Model Context Protocol (MCP) server integration, it enables agents to interact with external resources like filesystems and databases while maintaining safety through sandboxing and the principle of least privilege. This is an essential resource for developers building professional, production-ready agents that require reliable and validated tool-calling capabilities.

Key Features

Model Context Protocol (MCP) server orchestration
Streaming tool response handling and error management
Custom tool definition with JSON Schema validation
74 GitHub stars
Granular tool permission management (Allow/Block lists)
Strict and Permissive permission modes for user safety

Use Cases

Building secure AI agents that require manual user approval for sensitive bash operations.
Connecting Claude to proprietary internal databases using custom tool execution logic.
Extending agent functionality with standardized MCP servers for Git and filesystem access.

About

Key Features

Model Context Protocol (MCP) server orchestration
Streaming tool response handling and error management
Custom tool definition with JSON Schema validation
74 GitHub stars
Granular tool permission management (Allow/Block lists)
Strict and Permissive permission modes for user safety

Use Cases

Building secure AI agents that require manual user approval for sensitive bash operations.
Connecting Claude to proprietary internal databases using custom tool execution logic.
Extending agent functionality with standardized MCP servers for Git and filesystem access.