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mzaid007

Universal Poison Armor

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    TDQS

    A4.7/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a clearly distinct attack surface: single-document sanitization, dataset-level anomaly detection, and multi-source consensus verification. The descriptions include explicit WHEN NOT TO USE cross-references that direct the agent to the correct sibling tool, leaving no ambiguity.

    Naming Consistency5/5

    All three tool names follow the same snake_case verb_noun pattern: sanitize_document, scan_dataset_for_anomalies, and verify_article_consensus. The verbs are specific and accurately describe each tool's core action.

    Tool Count5/5

    Three tools is well-scoped for this specialized defensive server, with one tool covering each major poisoning vector: input text, training/retrieval datasets, and web-sourced consensus claims. Every tool earns its place, and there are no redundant or filler tools.

    Completeness4/5

    The tool set covers the core defense workflow: sanitize untrusted input, detect poisoned clusters in datasets, and verify whether apparent consensus is authentic. A minor gap is the lack of a dedicated tool for reading or querying the security_audit.json log that all tools append to, but this is workable via external file access.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues