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Credit Optimizer v5

by rafsilva85
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Python
Remote

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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

    A3.8/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of credit optimization: analyzing prompts, retrieving golden rules, and obtaining task-specific strategies. There is no overlap in functionality.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (analyze_prompt, get_golden_rules, get_strategy_for_task), making them predictable and easy to understand.

    Tool Count4/5

    With 3 tools, the server is slightly minimal but still well-scoped for its advisory purpose. Each tool serves a clear role, and the count is reasonable given the focused domain.

    Completeness4/5

    The tools cover the core functionalities of analysis, reference rules, and strategy selection. A minor gap is the lack of an execution tool, but for an advisory server this is acceptable.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources