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arsenkin-mcp

by zai-one
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Python

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    TDQS

    A3.9/5.0

    Scored across 18 tools

    Disambiguation4/5

    The single vs batch variants (estimate/batch_estimate, prepare/batch_prepare, submit/batch_submit) are clearly paired and differentiated by scope, and descriptions explicitly state 'which when' and ordering. arsenkin_status vs arsenkin_task_status and get_result vs result_table vs export_result could momentarily overlap, but descriptions clearly separate account health, job polling, raw results, compact tables, and file export.

    Naming Consistency4/5

    All names use the arsenkin_ prefix and snake_case throughout, with consistent verb_noun forms (get_result, batch_estimate, check_update, request_hash_lookup). There is minor variance between bare nouns (projects, limits, status) and verb-led names, but the pattern is predictable and readable.

    Tool Count4/5

    18 tools is slightly heavy but justified by the full paid-job lifecycle (discover, estimate, approve, submit, poll, fetch, export, cancel) with mirrored single/batch pairs. Each tool has a distinct stage or purpose, so few feel redundant.

    Completeness4/5

    The surface covers the lifecycle end-to-end: catalog, estimate, approval, submit, poll, result retrieval/table/export, limits, diagnostics, ledger lookup, and cancellation. Minor gaps like listing all prior jobs or re-running a saved job are largely workable via task_status and projects.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources