BigContext MCP
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TDQS
Scored across 31 tools
Multiple tools have overlapping purposes that could cause confusion. For example, 'audit_cognitive_operations', 'detect_inference_violations', and 'get_epistemological_report' all involve detecting or preventing unauthorized cognitive operations, making it hard for an agent to choose the right one. Similarly, 'validate_claim', 'validate_literal_quote', and 'validate_output_vocabulary' all validate different aspects of textual claims, but their boundaries are not clearly distinct, leading to potential misselection.
The naming is mostly consistent with a verb_noun pattern (e.g., 'analyze_subdetermination', 'detect_pattern_contamination', 'validate_agency_execution'), which aids readability. However, there are minor deviations like 'get_metadata' and 'list_documents' using simpler verbs, and 'ingest_document' using 'ingest' instead of a more common verb like 'load', but these do not significantly hinder understanding.
With 31 tools, the count is too high for a coherent set, making the server feel heavy and overwhelming. The tools cover a wide range of functions from document ingestion to complex epistemological analysis, but many could be consolidated or omitted without losing core functionality, indicating poor scoping and an excessive number that complicates agent usage.
The tool set provides comprehensive coverage for textual analysis and validation in a scholarly or theological domain. It includes ingestion, search, metadata retrieval, various detection and validation tools, and safe fallback mechanisms, ensuring no obvious gaps. The tools support a full lifecycle from document loading to rigorous claim validation, making the surface complete for its intended purpose.