Neotoma
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TDQS
Scored across 67 tools
Many tools overlap in purpose: retrieval is split across retrieve_entities, retrieve_entity_by_identifier, identify_entity_by_signals, retrieve_entity_snapshot, retrieve_related_entities, and retrieve_graph_neighborhood; writing/correcting across store, correct, correct_transaction, and patch_array_item; and generic vs issue-specific submission across submit_entity, submit_issue, add_entity_message, and add_issue_message. Detailed descriptions help, but the boundaries still require careful reading and invite misselection.
Most tools follow a snake_case verb_noun pattern (list_observations, retrieve_entity_snapshot, create_relationship, delete_entity), with reasonable variety among verbs like get, list, and retrieve. Minor deviations include single-word imperative tools (store, correct, subscribe) and noun-first names (neotoma_turn_summary, npm_check_update, health_check_snapshots), but the overall convention remains readable and predictable.
With 67 tools, the surface is far beyond the typical 3-15 range and qualifies as an extreme mismatch according to the rubric. Even for a complex knowledge-graph platform, this volume creates selection overhead and makes it hard for an agent to hold the whole toolset in working memory.
The server covers a broad lifecycle: storing, correcting, deleting, and restoring entities; managing schemas, relationships, observations, provenance, submissions, subscriptions, peers, bundles, and issues. Some gaps remain, such as resolve_sync_conflict being an explicit stub and no direct update_relationship operation, but core workflows are otherwise well supported.