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lanlan3292

molanko-mcp-avatar-generator

by lanlan3292
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Server Quality Checklist

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

  • Latest release: v0.1.0

  • Disambiguation5/5

    With only a single tool, there is no potential for confusion or overlap. The tool's purpose is clearly defined and unambiguous.

    Naming Consistency5/5

    The single tool uses a clear verb_noun naming convention (generate_avatar) which is consistent and self-explanatory, even with only one tool.

    Tool Count3/5

    The server has just one tool, which feels thin for a typical MCP server. However, it may be appropriate for the narrow scope of avatar generation, so it borders on acceptable.

    Completeness5/5

    The tool covers the domain comprehensively by accepting both image and Minecraft player sources, and there are no obvious missing operations for avatar generation.

  • Average 4.2/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 17 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is passing

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  • This repository includes a README.md file.

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Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

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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.

Tool Scores

  • Behavior3/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    No annotations are provided, so the description carries the full burden. It discloses the output format (PNG as MCP image result) and the Minecraft skin resolution process. However, it does not mention error conditions, rate limits, or what happens if both sources are provided, which leaves gaps.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is two sentences, front-loaded with the purpose and a critical usage rule. No redundant or filler content; every clause contributes to understanding how to invoke the tool.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness4/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    With 9 parameters and no output schema, the description covers the essential aspects: the two source options and the return type. It does not elaborate on default behaviors of rendering options (scale, background, outline), but the schema fully documents these, so the description is sufficiently complete for an agent.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters4/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100%, so baseline 3 applies. The description adds meaningful context beyond the schema by specifying the 'exactly one source' constraint and explaining how minecraftPlayer is resolved via Mojang APIs, which goes beyond the parameter's own schema description.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the action ('Generate') and the specific resource ('Molanko Avatar'). It also identifies the two mutually exclusive source types, clarifying the tool's scope even without sibling tools.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines4/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    It explicitly says 'Provide exactly one source', which is a direct usage rule. It also explains how minecraftPlayer works (username/UUID, Mojang API resolution). No alternatives are mentioned because no sibling tools exist, so this is adequate.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

Our badge communicates server capabilities, safety, and installation instructions.

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