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mcp-rtl-review

by zesun33
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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.7/5.0

    Scored across 4 tools

    Disambiguation4/5

    The full review tool overlaps with the two targeted check tools, but each has a clearly scoped purpose: comprehensive audit versus specific assignment or width checks. The toolchain info tool is entirely distinct. Some ambiguity exists about when to run the full review versus individual checks, but descriptions mitigate it well.

    Naming Consistency3/5

    All tools share the rtl_ prefix, but the naming pattern is mixed: two use verb_noun (rtl_check_assignments, rtl_check_widths), while rtl_review is verb-only and rtl_toolchain_info is noun_noun. The inconsistency is noticeable but still readable and predictable given the shared prefix.

    Tool Count5/5

    Four tools is well-scoped for a focused RTL review server: one comprehensive review, two targeted checks, and one metadata query. Each tool has a clear purpose and the count feels neither thin nor bloated.

    Completeness5/5

    The full review tool provides broad static-analysis coverage including assignments, reset polarity, widths, and undriven nets, while the targeted check tools allow narrower queries. The toolchain info tool supplies environment and rule-compatibility context. No obvious missing operations are apparent for the stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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