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Server Quality Checklist

67%
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  • Latest release: v0.3.1

  • Disambiguation5/5

    Only one tool exists, so there is no possibility of confusion between tools. The tool's purpose is clearly stated.

    Naming Consistency5/5

    The single tool name 'set_remote' follows a clear verb_noun convention, which is consistent and predictable. With only one tool, naming consistency is perfect.

    Tool Count2/5

    A single tool feels insufficient for a server named 'Vibe MCP', especially since the description references browser tools that are missing. The tool is purely a configuration step, leaving the server with very limited functionality.

    Completeness2/5

    The tool set lacks any browser automation tools, which are the implied core functionality of the server. The description suggests that set_remote is a prerequisite for browser tools, but those tools are not present, creating a noticeable gap. The server cannot perform any useful task beyond configuration.

  • Average 4.4/5 across 1 of 1 tools scored.

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

    • 14 of 19 community issues answered or closed in the last 6 months
    • 59 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 failing
  • This repository is licensed under Apache 2.0.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

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      "maintainers": [
        "your-github-username"
      ]
    }

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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?

    With no annotations, the description carries the full burden. It does disclose an important security behavior—'The routing UUID in the URL is the sole bearer credential for the relay session'—and implies a network connection. However, it does not explain side effects like overwriting an existing target, persistence, or failure behavior, leaving a notable transparency gap for a state-changing tool.

    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 concise sentences, front-loaded with the primary action and followed by a practical usage condition and a security note. Every clause earns its place, with no wasted words or redundancy.

    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?

    This is a simple single-parameter tool with no output schema and no annotations. The description covers purpose, when to invoke, and a crucial credential warning, which is largely sufficient for the tool's complexity. It stops short of describing the result or how to verify success, but that is a minor omission for such a focused utility.

    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 coverage is 100%, so the baseline is 3. The description adds value by emphasizing that the URL contains a credential-bearing routing UUID, which is security-relevant semantic context beyond the schema's type and example. This extra insight justifies a 4.

    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 opens with a specific verb and resource: 'Set the remote relay target for this MCP server.' It clearly states what the tool does and even provides a triggering condition, making the purpose unambiguous. Though there are no sibling tools to distinguish from, the wording is specific enough to earn full marks.

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

    Usage Guidelines5/5

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

    The description gives explicit guidance: 'If browser tools are missing, call set_remote first to connect to a Vibe relay.' This is a clear when-to-use instruction. The schema reinforces it with 'Call set_remote first when browser tools are unavailable,' providing both context and sequence without needing alternatives.

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

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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.

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