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bitrefill

Bitrefill Search and Shop

Official
by bitrefill
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TypeScript
Remote

Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose with no ambiguity: 'categories' retrieves product categories, 'detail' gets product information, 'ping' checks API availability, and 'search' finds products. The descriptions explicitly differentiate their roles, such as suggesting to use 'categories' before 'search' for better context, ensuring an agent can easily tell them apart.

    Naming Consistency5/5

    All tool names follow a consistent, simple noun-based pattern (e.g., 'categories', 'detail', 'ping', 'search') without mixing conventions like camelCase or snake_case. This predictability makes the set easy to navigate and understand at a glance.

    Tool Count5/5

    With 4 tools, the server is well-scoped for its purpose of searching and shopping on Bitrefill. Each tool earns its place by covering essential functions: API health check, category mapping, product search, and detailed product viewing, avoiding bloat or thin coverage.

    Completeness4/5

    The tool surface is nearly complete for a search and shop domain, covering discovery (categories, search), inspection (detail), and availability (ping). A minor gap exists in lacking purchase or checkout tools, but agents can work around this by using the provided tools to gather information before external actions.

  • Average 3.6/5 across 4 of 4 tools scored. Lowest: 2.9/5.

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

    • 0 of 1 community issues answered or closed in the last 6 months
    • 0 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is passing

  • 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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