No user-submitted related servers found.
Scored across 13 tools
Most tools have clear distinct purposes targeting specific Dataproc resources (clusters, batch jobs, regular jobs). However, there is some potential overlap between 'cancel_job' and 'delete_batch_job' as both involve termination operations, and 'submit_job' vs 'create_batch_job' might cause confusion about when to use each, though descriptions clarify batch vs cluster job contexts.
Excellent consistency with a clear verb_noun pattern throughout (e.g., create_cluster, list_batch_jobs, get_job). All tools use snake_case with descriptive verbs (create, delete, get, list, submit, cancel, compare), making them predictable and easy to understand.
13 tools is well-scoped for a Dataproc server covering clusters, batch jobs, and regular jobs. Each tool earns its place by providing essential operations (CRUD, listing, comparison) without unnecessary redundancy, fitting the domain's complexity appropriately.
The toolset provides strong coverage for Dataproc operations, including CRUD for clusters and batch jobs, job management, and listing. Minor gaps include no update operations for clusters or batch jobs (e.g., update_cluster, update_batch_job) and no tool for stopping or pausing clusters, but core workflows are well-supported.