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mfbaig35r
by mfbaig35r

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Alternatives to diligence-kernel

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    TDQS

    A3.9/5.0

    Scored across 19 tools

    Disambiguation5/5

    Each tool has a distinct responsibility: opening a matter, describing tables, setting parameters, ingesting/searching documents, recording classifications, assembling units, running/estimating/monitoring table runs, reading/reviewing cells, and managing prompts/artifacts. There is no meaningful overlap or ambiguity between tool names and their purposes.

    Naming Consistency4/5

    Most tools follow a clear `object_verb` pattern (table_describe, vault_ingest, units_propose, cell_review), but `run_table`, `run_estimate`, and `run_status` invert to `verb_object`, and a few names like `cell_evidence` and `artifact_list` are noun-noun. The pattern is predictable overall with minor deviations.

    Tool Count4/5

    At 19 tools, the server is slightly above the typical well-scoped range, but the count is justified by the breadth of the due-diligence workflow: ingestion, classification, table execution, evidence review, and artifact building. Each tool addresses a real step with no obvious redundancy.

    Completeness5/5

    The tool set covers the full review lifecycle: ingest documents, classify them, assemble review units, run table prompts, inspect evidence, record human review decisions, and build derived artifacts. There are no obvious dead ends—every produced object can be read, checked, or acted upon by another tool.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues