@littlebigbrain/mcp
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TDQS
Scored across 22 tools
The set has a mostly clean read/manage/delete split by resource family, making most tools easy to tell apart. Some boundaries blur around lbb_evals versus lbb_models dataset actions, lbb_workflows tests, and lbb_commit versus lbb_rdf, but the descriptions generally resolve these.
Names consistently use lowercase snake_case with the lbb_ prefix and resource-based suffixes such as _manage and _delete. The convention is predictable throughout, even where a write-capable tool like lbb_evals lacks the _manage suffix.
At 22 tools the surface is somewhat heavy, but it reflects genuinely broad domains: graph reads/writes, schema, RDF, workflows, embeddings, fit sources, evals, reviews, files, and model choice. The read/manage/delete splits are purposeful rather than redundant.
Coverage is extensive across graph, ontology, workflows, evals/datasets/experiments, reviews, files, embeddings, and model management, with lifecycle operations for most resources. Minor gaps remain, such as files being read-only with no upload tool and limited dataset-item removal, but agents can largely work around them.