Every tool a connected AI can use on your account — scripts, backtests, sessions, charts, and feedback.
A connected AI works through tools — small, typed operations it can call
on your account. This page lists all 35 of them, grouped by what they're
for. You don't call tools yourself: you describe what you want in plain language, and the
AI picks the tools to get it done. The same list appears in Settings → Connected AI.
Scripts
Tool
What it does
list_scripts
your indicators, signals & filters, strategies
get_script
read code, settings & the typed API
save_script
create/update — compiled & type-checked
duplicate_script
copy to iterate on
delete_script
remove from the library
list_deleted_scripts
recently deleted, still recoverable
restore_script
undo a deletion
Backtests & research
Tool
What it does
run_backtest
launch a cloud strategy run
run_code
one-off research code over tick data
get_run_status
progress & queue position
get_run_result
stats, equity, logs
cancel_run
stop a running backtest
find_instruments
search symbols & available data
Sessions
Tool
What it does
list_manual_sessions
your saved replay sessions
list_automated_sessions
cloud runs & their results
delete_session
remove a saved session
Your charts
Tool
What it does
list_tabs
see your open chart tabs
get_tab_state
symbol, timeframe & session state
switch_instrument
change symbol in a tab
switch_timeframe
change the resolution
jump_to_date
move the replay in time
load_session
open a session on the chart
attach_to_run
follow a cloud run live
Indicators & tracks
Tool
What it does
list_builtin_indicators
available built-in studies
list_chart_indicators
what is on the chart
add_indicator
put a study on the chart
get_indicator_inputs
read a study’s parameters
update_indicator_inputs
change a study’s parameters
remove_indicator
take a study off the chart
list_timeline_tracks
what is on the timeline
add_track
signal/filter on the timeline
update_track
change a track’s script or parameters
remove_track
take a track off the timeline
Docs & feedback
Tool
What it does
get_knowledge
platform docs your AI reads first
send_feedback
suggestions & issues, straight to our team
You don't need to teach your AI the platform. Through get_knowledge, the AI reads StrategyTune's built-in documentation topics
itself — what scripts are, how to write indicators, signals & filters, and
Strategy scripts, how backtests run, and how the interface fits together. Just ask
for what you want; the AI looks up what it needs.