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Scored across 109 tools
Most tools target a distinct resource+action, but several clusters overlap heavily: search_pipeline, search_pipeline_with_params and search_pipeline_with_filters are near-duplicates, and list_search_history, list_pipeline_search_history, list_pipeline_traces and list_sessions all describe browsing past runs with subtly different semantics from the same OData fields. The cost trio (get_cost_over_time/totals/breakdown) and the evaluator/experiment run tools (get_experiment_run, list_experiment_runs, list_evaluation_runs, get_evaluation_run) require careful reading to distinguish.
The surface is overwhelmingly a predictable snake_case verb_noun pattern (list_pipelines, create_deployment, get_experiment_results, delete_dataset). Deviations are minor and readable: object-store helpers follow a noun_object_store shape (yq_object_store, grep_object_store, sed_object_store), and a few verbs are nonstandard (load_skill, try_evaluator, rerun_failed_experiment). No camelCase or chaotic mixing.
109 tools is far beyond a well-scoped set and forces the agent to sift many near-adjacent options. The breadth spans genuinely different domains (pipelines, deployments, indexes, costs, datasets, experiments, evaluators, components, docs, object store, workspaces, secrets), but the volume plus per-domain granularity (e.g. three search variants, five object-store helpers, four deployment-tag/revision tools) makes discovery costly.
Coverage is unusually deep: full pipeline version lifecycle (create/patch/restore/validate/deploy), deployment revisions/activation/tags/stats, index create/update/deploy/validate, dataset and experiment CRUD, evaluator versioning and scoring runs. Gaps remain: no delete for pipelines, indexes or workspaces, and secrets are only list/get with no create/update/delete, so some lifecycle work is a dead end.