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Cognitive-Stack

Volume Wall Detector MCP

by Cognitive-Stack
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Python
Hybrid

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    TDQS

    B3.2/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: analyze-stock focuses on data analysis, fetch-order-book retrieves order book data, and fetch-trades gets trade history. There is no overlap in functionality, making it easy for an agent to select the right tool without confusion.

    Naming Consistency4/5

    The naming is mostly consistent with a verb-noun pattern (analyze-stock, fetch-order-book, fetch-trades), using kebab-case throughout. The minor deviation is that analyze-stock uses 'analyze' while the others use 'fetch', but this is reasonable given the different actions.

    Tool Count3/5

    With only 3 tools, the set feels thin for a server named 'Volume Wall Detector MCP', which suggests a focus on volume analysis in trading. While the tools cover basic data fetching and analysis, more tools might be expected for comprehensive volume detection or trading operations.

    Completeness3/5

    The tools provide core data retrieval (order book, trades) and analysis, but there are notable gaps for a volume-focused detector, such as tools for real-time volume alerts, historical volume trends, or integration with trading actions. The surface is functional but incomplete for advanced volume analysis workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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