As per docs it seems that pipeline task type is currently not supported to pass parameters: https://docs.databricks.com/en/jobs/create-run-jobs.html#pass-parameters-to-a-databricks-job-task

You could create a notebook task that runs before your pipeline task. This notebook task would take the job parameters and write them to a location accessible by your pipeline task, such as DBFS (Databricks File System) or a database. Then, your pipeline task could read these parameters from that location.