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apomt
by apomt

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.1.0

  • Disambiguation5/5

    With only one tool, there is no risk of confusing it with another. Its purpose is clearly stated and self-contained.

    Naming Consistency4/5

    The single tool name is descriptive and follows a clean snake_case style, but with only one tool there is no broader naming pattern to evaluate.

    Tool Count3/5

    A single tool feels thin even for a focused server, but it does cover the core release-notes-to-tasks transformation without obvious bloat.

    Completeness4/5

    The tool covers the main stated workflow of converting a release URL into ordered upgrade tasks. Minor gaps exist, such as support for multiple URLs or configurable task generation, but the core purpose is fulfilled.

  • Average 4/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 1 commit 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.

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

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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

  • Behavior4/5

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

    No annotations are provided, so the description carries the full behavioral disclosure burden. It explicitly states that the tool fetches a URL and does not execute code, which is a meaningful safety-relevant behavior. It does not mention authentication, rate limits, or failure modes, but for a simple read-only fetch-and-transform operation the core behavioral trait is disclosed clearly.

    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 a single well-structured sentence that front-loads the action and resource, states the output quality, and ends with a valuable safety constraint. Every word earns its place; there is no filler 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?

    Given that the tool has only one parameter, no output schema, and no annotations, the description adequately covers the input, the high-level output format, and a key behavioral guarantee. It does not enumerate precise task fields or error behavior, but for a single-purpose tool with a simple interface the information is sufficient for an agent to select and invoke it correctly.

    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 description coverage is 100%: the only parameter, release_url, already has a rich schema description specifying it must be a public HTTPS GitHub, GitLab, Markdown, or HTML release-note URL. The tool description adds no parameter-level detail beyond what the schema provides, so the baseline score of 3 applies.

    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 uses a specific verb ('Fetch') and names a concrete resource ('one public release-note URL') and an exact output ('ordered, source-cited upgrade tasks'). It is immediately distinguishable from any conceivable sibling by stating its precise scope, and the 'without executing code' clause removes ambiguity about what the tool does.

    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 the tool should be used when a user has a public release-note URL and wants upgrade tasks derived from it. However, it does not explicitly state when to use this tool instead of alternatives, nor does it mention any exclusions or prerequisites. With no siblings present, the lack of alternatives is not penalized heavily, but the when-to-use guidance remains only implied.

    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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