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graph-tool-call

by SonAIengine
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Python
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    TDQS

    A4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool serves a distinct role: search_tools for discovery, get_tool_schema for inspection, list_categories and graph_info for overview, execute_tool for execution, and load_source for ingestion. No two tools overlap in functionality, making selection unambiguous.

    Naming Consistency4/5

    Most tool names follow a consistent verb_noun snake_case pattern (search_tools, get_tool_schema, list_categories, execute_tool, load_source). The sole deviation is graph_info, which uses noun_noun instead of verb_noun, but it remains clear and stylistically consistent.

    Tool Count5/5

    With 6 tools, the set is well-scoped for a tool-graph management server. Each tool supports a distinct step in the workflow (load, discover, inspect, execute, overview), and there is no bloat or sense of missing essentials.

    Completeness4/5

    The core workflow is complete: load_source brings in new tools, search_tools discovers them, get_tool_schema inspects them, and execute_tool runs them. list_categories and graph_info provide useful overview. The only minor gap is the absence of a direct 'list all tools' function, but search_tools with a broad query can cover that.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources