Use this tool to estimate the token count of a text before sending it to an LLM. Triggers: 'how many tokens is this?', 'will this fit in context?', 'check if this is within the limit', 'token count for GPT-4'. Returns estimated token count, percentage of the model's context window used, and estimated API cost. Essential for context window management and cost planning.

Use this tool to estimate the token count of a text before sending it to an LLM. Triggers: 'how many tokens is this?', 'will this fit in context?', 'check if this is within the limit', 'token count for GPT-4'. Returns estimated token count, percentage of the model's context window used, and estimated API cost. Essential for context window management and cost planning.

Execute bash commands in a REMOTE sandbox for file operations, data processing, and system tasks. Essential for handling large tool responses saved to remote files. PRIMARY USE CASES: - Process large tool responses saved by RUBE_MULTI_EXECUTE_TOOL to remote sandbox - File system operations, extract specific information from JSON with shell tools like jq, awk, sed, grep, etc. - Commands run from /home/user directory by default

Fetch the next page of a large tool response. Use the nextCursor from _pagination in a previous response. This tool loads data into the context window — prefer the artifact download URL when available.

SVG or PNG diagram. Only call when user explicitly asks to visualize. The rendered image is delivered to the user, not injected into the model's context. See the server instructions for EN language syntax.

SVG or PNG diagram. Only call when user explicitly asks to visualize. The rendered image is delivered to the user, not injected into the model's context. See the server instructions for EN language syntax.