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lilbee

by tobocop2
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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.2/5.0

Scored across 29 tools

Disambiguation4/5

Most tools target clearly distinct resources and actions (e.g., model lifecycle, GPU placement, settings, document ingestion, search, wiki, datasets). Some pairs like model_show/model_list/catalog_browse and status/wiki_status require reading descriptions, but the boundaries are generally clear.

Naming Consistency3/5

The names mix noun_verb patterns (model_list, settings_get, wiki_status), verb_noun patterns (get_gpus, list_documents, export_dataset), and bare verbs (add, sync, search, reset). They remain readable, but there is no single predictable convention.

Tool Count2/5

With 29 tools, the surface is heavy for the apparent scope. Many granular operations (e.g., settings_get/list/set/reset, placement get/preview/set/clear) could be consolidated, and the count exceeds the 25+ threshold for 'too many' in the rubric.

Completeness4/5

The set covers model discovery/download/removal, GPU placement, settings management, document indexing/search/crawl, wiki status/wipe, and dataset import/export. Minor gaps exist, such as no explicit wiki build/refresh or model inference/load tool, but core workflows are covered.

Maintenance

ActivityActive
ResponsivenessResponsive

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