F
licenseNot graded
qualityD
maintenanceEnables querying a vector database of machine learning FAQs and performing web searches using Bright Data proxies through Claude Desktop with structured agent prompts.
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mcpRAG
by patanjali-22
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TDQS
A4.1/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have clearly distinct purposes: one retrieves from a specific FAQ collection, the other performs general web searches. There is no functional overlap, and each tool's description directs usage to its intended context.
Naming Consistency5/5
Both tools use the same naming pattern: a descriptive source/domain prefix combined with the action and the suffix '_tool', all in snake_case. This is consistent and predictable.
Tool Count3/5
With only 2 tools, the server feels thin for a general RAG use case. The count is borderline—not excessive, but the minimal surface may leave agents wanting more specialized retrieval options.
Completeness2/5
The server only provides retrieval operations, with no tools for managing or updating the FAQ collection or ingesting new documents. This is a significant gap for a complete RAG workflow, potentially causing agent failures when asked to perform any write or update operation.
Maintenance
ActivityInactive
ResponsivenessNo issues