Pine Script v6 Documentation

Tools

Token cost is the o200k count of the tools list JSON, including schemas, before any tool is called.

• list_docs

  USE WHEN discovering what Pine Script v6 documentation is available. Returns a categorised list of doc file paths with one-line descriptions. AFTER calling this tool, call get_doc(path) for small file

• list_sections

  USE WHEN navigating a large documentation file before reading a specific section. Returns a newline-separated list of # and ## headers (### excluded) in the file. AFTER calling this tool, call get_sec

• get_doc

  USE WHEN reading the full content of a Pine Script v6 documentation file. Returns the file content; when limit is set, a header shows the char range and offset to continue reading. AFTER calling this

• get_section

  USE WHEN reading a specific named section from a Pine Script v6 documentation file. Returns the section content from the matched header to the next same-level header, with file path and line range. AF

• search_docs

  USE WHEN finding documentation sections that match specific terms across all Pine Script v6 docs. Returns up to max_results sections ranked by match count, each with a preview and a get_section() call

• get_functions

  USE WHEN browsing valid Pine Script v6 functions, optionally filtered to a namespace. Returns function names grouped by namespace (e.g. ta.*, strategy.*) or filtered to the requested namespace. AFTER

• validate_function

  USE WHEN confirming a Pine Script v6 function name is valid before using it in code. Returns a valid/invalid verdict with namespace suggestions or known replacement hints (e.g. ta.adx → ta.dmi, securi

• resolve_topic

  USE WHEN looking up an exact Pine Script API term or known concept keyword. Returns the best-matching doc paths with matched keywords and a retrieval suggestion (get_doc or list_sections + get_section

• list_prompts

  List all available prompts. Returns JSON with prompt metadata including name, description, and optional arguments.

• get_prompt

  Get a prompt by name with optional arguments. Returns the rendered prompt as JSON with a messages array. Arguments should be provided as a dict mapping argument names to values.