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Tools

Reference for Cline's built-in tool system, aligned with SDK tool architecture.

Cline tools are executable functions the model can call while working. The model decides which tool to call, Cline runs it, then returns results back to the model.

Built-In Tools (ClineCore)

When running through ClineCore, these built-ins are available:

ToolDescription
read_filesRead one or more files
search_codebaseSearch the workspace
run_commandsExecute shell commands
fetch_web_contentFetch web content
apply_patchApply patch/diff edits
editorEdit files
skillsInvoke configured skills
ask_questionAsk the user for input
submit_and_exitSubmit a final answer and stop

A session offers editor or apply_patch, never both. By default, Act mode offers apply_patch to GPT and Codex models and to every model on the OpenAI (openai-native) provider, and editor to other models; Plan mode offers neither. SDK callers can replace these defaults with the toolRoutingRules session option.

Agent from @cline/agents does not include built-ins by default. You provide tools explicitly.

Tool Categories

  • Codebase operations: read_files, search_codebase, editor, apply_patch
  • Execution: run_commands
  • External retrieval: fetch_web_content
  • Skills: skills
  • Human-in-the-loop controls: ask_question
  • Completion: submit_and_exit

Approval and Policy Controls

Cline can run tools with approval or auto-approval, depending on settings/policies. Typical patterns:

  • Require approval for risky tools (for example run_commands, write/edit operations)
  • Auto-approve low-risk tools (for example read/search operations)
  • Disable specific tools entirely when needed

For policy examples, see SDK Tools and Permission Handling.

MCP Tools

Cline can also call tools discovered from MCP servers configured in ~/.cline/data/settings/cline_mcp_settings.json.

MCP tools are loaded alongside built-ins, so Cline can use both local tools and external integrations in one task.

See MCP Overview and SDK Tools → MCP Tools.

Custom Tools

This feature currently only applies to Cline SDK, CLI, and Kanban. This feature is not applicable on VSCode and JetBrains Extension for now.

Beyond built-ins and MCP, you can create custom tools and add them through plugins.

  • Define tool behavior and input schema in plugin code
  • Register tools during plugin setup
  • Expose those tools to agents alongside built-ins

See:

Legacy Tool Names vs Current Runtime Tools

Some older docs/examples reference XML-style names like read_file, replace_in_file, execute_command, or use_skill. Current SDK/ClineCore runtime uses the built-in tool names listed above (read_files, apply_patch, run_commands, skills, etc.).