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langgraph-spec-toolkit

by mkrishna-gs
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    TDQS

    A4.1/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool targets a distinct operation: adding/removing nodes and edges, setting schema, fetching the spec, validating, rendering, initializing, and batch-applying changes. Even apply_changes is clearly scoped as a batch wrapper with explicit op names, so no tool is easily confused with another.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern: add_node, remove_edge, set_state_schema, get_spec, validate_graph, render_python, init_project, apply_changes. There are no style deviations or vague verbs.

    Tool Count5/5

    Ten tools is well-scoped for a LangGraph spec toolkit. Each tool covers a necessary piece of the workflow without redundancy, and the count supports both simple edits and batching without feeling bloated.

    Completeness5/5

    The toolkit covers the full graph-building lifecycle: project creation, node and edge CRUD, state schema management, validation, rendering to Python, and full-spec inspection. The batch apply_changes tool also fills the practical gap of multi-edit workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

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