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Server Quality Checklist

58%
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  • Latest release: v1.3.1

  • Disambiguation2/5

    The two tools overlap significantly: 'cmd' is the recommended interface for all operations, while 'raw' is a legacy passthrough that duplicates functionality. An agent may be confused about which tool to use, especially since both accept different argument formats.

    Naming Consistency2/5

    Tool names are short and inconsistent: 'cmd' and 'raw' do not follow a predictable pattern like verb_noun. There is no clear naming convention across the set.

    Tool Count2/5

    With only 2 tools for a server that features many wiki commands, health checks, and help, the number is very low. While all functionality is bundled into 'cmd', this creates a monolithic interface rather than a well-scoped tool set.

    Completeness3/5

    The 'cmd' tool appears to cover all intended operations (read, write, search, etc.), so the core surface is complete. However, the presence of a deprecated 'raw' tool indicates an incomplete transition, and there is no clear tool for help or health—these are subcommands of 'cmd'.

  • Average 3.7/5 across 2 of 2 tools scored.

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

    • No community issues in the last 6 months
    • 20 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
  • This repository is licensed under MIT License.

  • 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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  • If you are the author, simply .

    If the server belongs to an organization, first add glama.json to the root of your repository:

    {
      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
        "your-github-username"
      ]
    }

    Then . Browse examples.

  • Add related servers to improve discoverability.

How to sync the server with GitHub?

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

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

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

  • Behavior2/5

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

    With no annotations provided, the description carries the full burden of behavioral disclosure. It fails to mention side effects, authorization needs, rate limits, or return format beyond command syntax.

    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 three concise sentences, front-loading the purpose and listing commands without wasted words.

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

    Completeness3/5

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

    For a single-parameter tool with no output schema, the description covers basic input format but omits behavioral expectations like execution results or error handling, leaving gaps for a command executor.

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

    Parameters3/5

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

    Schema coverage is 100%, and the description adds command examples beyond the schema, but does not provide additional semantic meaning for the parameter itself.

    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 tool executes QwikVault MCP commands via slash syntax and lists specific commands, distinguishing it from the sibling 'raw' tool as the unified entry point.

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

    Usage Guidelines3/5

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

    The description implies usage for all QwikVault commands but provides no explicit guidance on when to use this tool versus alternatives like 'raw', nor any exclusions or prerequisites.

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

  • Behavior2/5

    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 only states it is a passthrough and gives an example, but lacks details on side effects, authorization, rate limits, or error behavior, leaving significant behavioral 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 extremely concise, consisting of one sentence and an example. Every element is purposeful: the purpose, migration hint, and usage example are front-loaded and efficient, with no wasted words.

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

    Completeness3/5

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

    As a legacy wrapper, the description covers basic usage and migration, but it omits what the tool returns (e.g., the result of the wrapped tool) and error handling. Given the tool's simplicity, this is adequate but could be more complete for someone unfamiliar with the pattern.

    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?

    The schema describes 'tool' as a string and 'args' as an object with additional properties. The description adds a concrete example ('raw({ tool: "view_file", args: { path: "..." } })'), which clarifies the expected structure and usage of the arguments, adding value beyond the schema.

    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 it is a 'Legacy tool passthrough' and provides an example call. It distinguishes itself from the sibling tool 'cmd' by recommending its use instead, making the purpose and differentiation explicit.

    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?

    The description explicitly advises using 'cmd()' instead, providing a clear alternative. However, it does not specify conditions under which 'raw' might still be necessary or any prerequisites, slightly limiting guidance.

    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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  • 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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