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DarkGenius

Zenrus MCP

by DarkGenius
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JavaScript
Remote

Server Quality Checklist

58%
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  • Latest release: v1.0.0

  • Disambiguation4/5

    The tools are clearly distinguished by their specific purposes: three calculate barrels for different currencies (EUR, RUB, USD), two get Brent crude prices in different currencies (RUB, USD), and two get exchange rates (EUR/RUB, USD/RUB). There is minimal overlap, as each tool targets a distinct combination of currency and operation type, though the 'calculate_barrels_for_rub' might be slightly redundant given the direct price tools, but descriptions clarify the difference.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with clear, descriptive naming. The verbs 'calculate' and 'get' are used appropriately across tools, and the naming structure (e.g., calculate_barrels_for_eur, get_brent_rub_rate) is uniform throughout, making it easy to predict and understand each tool's function without confusion.

    Tool Count5/5

    With 7 tools, the count is well-scoped for the server's purpose of providing Brent crude oil price calculations and exchange rates. Each tool serves a specific, necessary function in this domain, covering key operations like price retrieval and conversion calculations without being overly sparse or bloated, ensuring efficient coverage of the intended use cases.

    Completeness5/5

    The tool set provides complete coverage for the domain of Brent crude oil price calculations and exchange rates. It includes all necessary operations: getting current prices in key currencies (USD, RUB), retrieving relevant exchange rates (EUR/RUB, USD/RUB), and calculating barrel purchases for major currencies (EUR, RUB, USD). There are no obvious gaps, allowing agents to perform comprehensive calculations without dead ends.

  • Average 3.8/5 across 7 of 7 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 0 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available

  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

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  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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