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Managing Tools

Control and configure the tools and extensions that power your goose workflows

Managing Tools

Tools are specific functions within extensions that give goose its capabilities. Learn to control and customize how these tools work for you.

📚 Documentation & Guides

- [goose Permissions](/agents/goose/guides/managing-tools/goose-permissions/):Choose how much autonomy goose has when using tools, editing files, and taking action in a session. - [Tool Permissions](/agents/goose/guides/managing-tools/tool-permissions/):Configure fine-grained permissions to control which tools goose can use and when, ensuring secure and controlled automation. - [Adjust Tool Output](/agents/goose/guides/managing-tools/adjust-tool-output/):Customize how tool interactions are displayed, from detailed verbose output to clean concise summaries. - [Code Mode](/agents/goose/guides/managing-tools/code-mode/):Programmatic approach that discovers and calls MCP tools on demand. - [Ollama Tool Shim](/agents/goose/experimental/ollama/):Enable tool calling for models that don't natively support it using an experimental local interpreter model setup.
- [Agentic AI and the MCP Ecosystem](https://goose-docs.ai/blog/2025/02/17/agentic-ai-mcp):A 101 introduction to AI agents, tool calling, and how tools work with LLMs to enable powerful automation. - [A Visual Guide To MCP Ecosystem](https://goose-docs.ai/blog/2025/04/10/visual-guide-mcp):Visual breakdown of MCP: How your AI agent, tools, and models work together, explained with diagrams and analogies. - [Finetuning Toolshim Models for Tool Calling](https://goose-docs.ai/blog/2025/04/11/finetuning-toolshim):Technical deep-dive into the challenges of tool calling with open-source models and the research behind toolshim solutions.