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tzero-mcp

tzero-mcp

by toprakahmetaydogmus
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Python
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    TDQS

    A4.2/5.0

    Scored across 15 tools

    Disambiguation3/5

    Most tools pair a distinct resource with a distinct action, and descriptions explicitly cross-reference siblings to draw boundaries (e.g. enforce vs. manage architecture rules). However, 'execute_codebase_workflow' explicitly re-implements every other tool's action (audit, security, blueprint, dependencies, search, prune, heal, memory, swarm), and 'build_project_context' (tree mode) heavily overlaps with 'generate_architecture_blueprint' and 'analyze_code_dependencies'. This creates real misselection risk: an agent can reasonably pick either the master tool or the specialist for the same task.

    Naming Consistency5/5

    All 15 names are snake_case verb_noun pairs (enforce_, analyze_, search_, estimate_, generate_, audit_, verify_, manage_, build_, prune_, query_, orchestrate_, execute_). No camelCase, casing, or stylistic outliers; the pattern is highly predictable.

    Tool Count4/5

    15 tools sits at the top of the well-scoped 3-15 band and the broad domain (architecture, quality, security, context, search, memory, orchestration) justifies most of them. The master 'execute_codebase_workflow' tool and the swarm orchestrator are arguably redundant scope creep on top of an already complete surface.

    Completeness4/5

    Coverage is broad for a local code-intelligence toolkit: search, context building, snippet pruning, dependency/impact analysis, quality audit, secret scanning, architecture rule lifecycle plus enforcement, and blueprint generation. Minor gaps exist around applying fixes or running tests (orchestrate_agent_swarm only patches via 'self_healing'), leaving some workflows as dead ends, but core read-only analysis is fully covered.

    Maintenance

    ActivityActive
    ResponsivenessSyncing

    Resources