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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A4.7/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: whole-program diagnostics, module outlines, expression types, definition lookup, effect explanations, IR rendering, actor protocols, actor graphs, and context budgeting. The cross-references in the descriptions make the boundaries explicit, so an agent can reliably choose the right tool.

    Naming Consistency5/5

    All tool names follow a strict verb_noun snake_case pattern (check_file, list_definitions, infer_type, lookup_definition, explain_effect_row, render_ir_fragment, explain_actor_protocol, emit_actor_effect_graph, get_context_for_symbol, get_context_budget). Verbs are specific and the object is consistently a noun, making the naming predictable and scannable.

    Tool Count5/5

    With 10 tools, the set is well within the typical 3–15 range and each tool earns its place by covering a distinct aspect of the language analysis domain. The count feels comprehensive without being bloated; no tool appears redundant.

    Completeness4/5

    The tool set covers a broad range of analysis operations: diagnostics, symbols, types, effects, IR, actors, and context estimation. The main gaps are raw source access and cross-project symbol search, which are not provided, but the server's read-only analysis focus is otherwise well covered.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

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