Tell AI which function to call and supply its documented inputs. It can explain returned records or errors in the context of your application.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Use an existing function and its documented inputs, then organize the response into a summary.
/oo AppDrag: Call AppDrag function [folder]/[function name] in [environment] using its documented method [method] and parameters [parameters]. Its purpose is [purpose]. Summarize the response and flag errors.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect with your AppDrag project API key.
Connect AppDrag →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
AppDrag Cloud Backend functions expose application-specific behavior. This connection invokes an existing function; the function’s own contract determines its data and effects.
Execute a configured Cloud Backend function with optional parameters and return the response.
Execute one AppDrag Cloud Backend API function by folder, function name, HTTP method, and optional parameters.
Leina 
Wanta 
appdrag.execute_function No matching tools.
Provide the folder, function name, configured method, environment if applicable, and required parameters. Explain the function’s purpose so the assistant can interpret its response.
Yes. Provide the expected response meaning and ask it to summarize the actual returned data, without inventing fields.
No. The effect depends on your function. Use a documented read function for analysis and explicitly authorize functions that modify data.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.