A
licenseNot graded
qualityB
maintenanceSearch within videos by dialogue, on-screen visuals, and recurring faces using natural language - connected with your favorite agent (like Claude, Codex, Hermes).
52
MIT
video-material-db
by JimmyChin756
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TDQS
C2.1/5.0
Scored across 8 tools
Disambiguation5/5
All tools have clearly distinct purposes. Adding via URL vs local file are distinct, and the various search tools target different content types (videos, dialogue, jokes, story structure), so there is no ambiguity in what each tool does.
Naming Consistency5/5
All tool names follow the same verb_noun pattern in snake_case: add_, search_, get_, build_. This is fully consistent across the entire set.
Tool Count5/5
8 tools is well-scoped for a video material database. The set covers ingestion (add), retrieval (search, get), and a specialized operation (build_remake_context) without unnecessary bloat.
Completeness4/5
The main workflows of adding, searching across content types, and retrieving details are covered. Minor gaps exist—no update/delete operations for videos and no general list all videos—but agents can work around these with the provided search tools.
Maintenance
ActivityMaintained
ResponsivenessNo issues