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Bowieboii

CURRENT•SEA

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Alternatives to CURRENT•SEA

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    Related Servers

    • A
      license
      B
      quality
      D
      maintenance
      Automatically analyzes and optimizes AI prompts by calculating clarity scores, detecting risks, asking clarifying questions, and adding domain-specific requirements to improve AI interaction quality.
      1
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables agents and users to analyze text or files for formulaic AI writing patterns and receive a 0–100 score, band label, violations with surrounding context, and concrete advice. It works programmatically without LLM judges or API calls.
      -
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to turn rough or ambiguous requests into clearer, context-aware execution guidance through optimization, inspection, adaptation, evaluation, comparison, context compression, and instruction-building tools while preserving original intent and staying local-first.
      9
      21 npm
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to analyze text strings or local files for formulaic AI writing patterns and receive numeric scores, band labels, contextual violations, and concrete advice.
      -
    • A
      license
      A
      quality
      A
      maintenance
      Enables agents to verify claims against cited evidence, screen content for prompt injection and relevance before reading it, and rank candidates by meaning, all with calibrated probability verdicts.
      12
      5,769 npm
      559
      MIT

    TDQS

    A4.3/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of confusion or overlap. The single tool's purpose is clearly defined and distinct by default.

    Naming Consistency5/5

    The single tool name 'scan_ambiguity' follows a clear verb_noun convention, which is consistent and predictable. No conflicting naming styles exist.

    Tool Count2/5

    A single tool feels too thin for most server purposes. While the scope is narrow, one tool provides minimal utility and may limit agent flexibility, aligning with the 'too few' criterion.

    Completeness5/5

    For the stated purpose of detecting ambiguous wording, the tool covers the core functionality well. It handles multiple ambiguity types (timing, quantities, references, commitments, standards) with no obvious gaps within that narrow domain.

    Maintenance

    ActivityStale
    ResponsivenessNo issues