A
licenseA
qualityB
maintenanceMCP server that scores tool descriptions, estimates token costs, simulates agent tool selection, and generates reliability reports to help AI agents choose the right tools and reduce wasted tokens.
5
6 npm
MIT
Agent Feedback Loop
by AiAgentKarl
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TDQS
A3.8/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: get_best_tools retrieves top-rated tools, get_tool_quality provides metrics for a specific tool, get_trending_tools shows recent trends, and report_tool_result submits feedback. There is no overlap in functionality, making tool selection unambiguous.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern with underscores (e.g., get_best_tools, get_tool_quality, get_trending_tools, report_tool_result). The naming is predictable and readable throughout the set.
Tool Count4/5
With 4 tools, the count is reasonable for a feedback loop server, covering core operations like querying and reporting. It might feel slightly thin if advanced features like analytics or bulk operations are needed, but it's well-scoped for basic functionality.
Completeness4/5
The tool set covers key aspects of a feedback system: retrieving best tools, checking specific tool quality, viewing trends, and submitting reports. A minor gap is the lack of tools for managing or aggregating feedback data, but agents can work around this with the provided operations.
Maintenance
ActivityInactive
ResponsivenessNo issues