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    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to search and retrieve machine-readable records of failed quantitative trading strategies, helping them avoid repeating unsuccessful backtests.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to check proposed actions against a local ledger of previously ruled-out work, receiving graded alerts with prior verdicts to avoid repeating dead ends.
      AGPL 3.0
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to query live, cross-agent tool failure fingerprints and recovery outcomes before retrying, so they can act on collective evidence and avoid repeating proven-ineffective retries.
      4
      2
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to query a public signed ledger of known failures and fixes before retrying, then ingest, confirm, fail, and share dense claims so subsequent agents avoid paying the same cost.
      29
      368 PyPI
      1
      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      Automatically provides AI agents with proven instructions and past failure warnings for common tasks like deployment, auth, and payments, enabling flawless execution without manual configuration.
      10
      101 npm
      3
      MIT

    TDQS

    A4.4/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool targets a distinct operation: exact error lookup vs fuzzy search vs batch, per-domain listing vs stats, country listing vs summary, and detail vs chain. The descriptions clearly differentiate overlapping pairs like lookup_error and search_errors.

    Naming Consistency5/5

    All tools use snake_case with a consistent verb_noun pattern: list_*, get_*, search_*, batch_lookup, report_outcome. Even the exception (lookup_error) still follows the verb_noun convention.

    Tool Count5/5

    11 tools is well within the ideal 3-15 range. Each tool covers a distinct aspect of the error database (listing, searching, details, chains, statistics, feedback) without redundancy.

    Completeness5/5

    The set covers the full workflow: discover domains, list errors, search and lookup, get details, traverse chains, analyze stats, and provide feedback. No obvious gaps for its stated purpose.

    Maintenance

    ActivityActive
    ResponsivenessWithin a week