Prerequisites
What are you trying to do that currently feels hard or impossible?
I'd like to add more tools specifically to support debugging use cases for the existing Serverless Spark source, as well as the closely related Cloud Dataproc Clusters. Unlike the depth-first approach I used for Serverless, now I want to go a bit breadth-first, prioritizing:
- List & get APIs across multiple supported resources (clusters, jobs, sessions)
- Fetching logs from Cloud Logging associated with these resources--not just the logs URL that's already in the tools output, but actually running the LQL query in that link and returning structured JSON as the results.
- (If necessary) exposing paths to other outputs stored on GCS as part of the "get" tools. (Actually fetching the files from GCS is likely not in scope for MCP Toolbox)
Suggested Solution(s)
No response
Alternatives Considered
No response
Additional Details
No response
Prerequisites
What are you trying to do that currently feels hard or impossible?
I'd like to add more tools specifically to support debugging use cases for the existing Serverless Spark source, as well as the closely related Cloud Dataproc Clusters. Unlike the depth-first approach I used for Serverless, now I want to go a bit breadth-first, prioritizing:
Suggested Solution(s)
No response
Alternatives Considered
No response
Additional Details
No response