Claude Advanced Tool Use
2 days ago
- #AI Agents
- #Efficiency
- #Tool Integration
- AI agents will work seamlessly across hundreds or thousands of tools, integrating various operations like git, file manipulation, package managers, testing frameworks, and deployment pipelines.
- Effective agents need to work with unlimited tool libraries without loading all definitions upfront, discovering and loading tools on-demand.
- Agents should be able to call tools from code, reducing the need for full inference passes and intermediate results piling up in context.
- Agents need to learn correct tool usage from examples, not just schema definitions, to understand usage patterns and conventions.
- Three new features are released: Tool Search Tool, Programmatic Tool Calling, and Tool Use Examples.
- Tool Search Tool allows Claude to use search tools to access thousands of tools without consuming its context window.
- Programmatic Tool Calling allows Claude to invoke tools in a code execution environment, reducing the impact on the model’s context window.
- Tool Use Examples provide a universal standard for demonstrating how to effectively use a given tool.
- Internal testing showed significant improvements in accuracy and efficiency with these features.
- Tool Search Tool reduces token usage by 85% while maintaining access to the full tool library.
- Programmatic Tool Calling reduces token consumption by 37% on complex tasks and improves accuracy.
- Tool Use Examples improve accuracy from 72% to 90% on complex parameter handling.
- Best practices include layering features strategically, setting up Tool Search Tool for better discovery, and using Programmatic Tool Calling for efficient execution.
- These features are available in beta and can be enabled with specific headers and tool configurations.