Iconsult MCP
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TDQS
Scored across 17 tools
Most tools have distinct purposes, but some overlap exists. For example, 'consultation_report' and 'critique_consultation' both analyze consultation sessions, though 'consultation_report' focuses on coverage metrics while 'critique_consultation' focuses on quality critique. Similarly, 'get_events' and 'emit_event' both handle events but for different actions (polling vs. emitting). Descriptions help clarify these distinctions, but an agent might occasionally confuse them.
Naming conventions are mixed but generally readable. Most tools use snake_case (e.g., 'ask_book', 'get_subgraph'), but there are deviations like 'health_check' (underscored) and inconsistent verb styles (e.g., 'log_pattern_assessment' vs. 'validate_subagent'). Some names are clear (e.g., 'list_concepts'), while others are less intuitive (e.g., 'emit_event'). Overall, it's a mix that doesn't follow a strict pattern.
With 17 tools, the count is slightly high but reasonable for the server's purpose of architectural consultation and knowledge graph interaction. The tools cover various aspects like entry points, traversal, logging, analysis, and coordination, which aligns with the domain. It might feel a bit heavy, but each tool appears to serve a specific role in the workflow.
The tool set provides comprehensive coverage for the consultation domain. It includes entry points (match_concepts, plan_consultation), traversal and querying (get_subgraph, ask_book), logging and assessment (log_pattern_assessment, score_architecture), analysis and reporting (consultation_report, critique_consultation), event handling (emit_event, get_events), state management (read_state, write_state), and validation (validate_subagent). There are no obvious gaps; the tools support a full CRUD-like lifecycle for consultations.