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YongyangFu

Bell

by YongyangFu
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Python
Local

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 one tool, there is no possibility of confusion. The tool's purpose is clearly defined and distinct.

    Naming Consistency5/5

    A single tool name cannot be inconsistent. 'notify_done' follows a clear verb_noun pattern.

    Tool Count4/5

    One tool for a simple notification purpose is reasonable, though the server could potentially benefit from additional tools like notify_error or notify_progress.

    Completeness3/5

    The single tool covers the core use case of notifying task completion, but lacks other common notification types, making it somewhat incomplete for broader notification needs.

  • Average 3.8/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 2 commits 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

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  • 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.

Tool Scores

  • Behavior3/5

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

    Describes the output as a Bell popup, but no annotations exist to pre-declare safety or side effects. The description adds the character constraint but lacks details like dismissal behavior, persistence, or whether it blocks. For a simple notification, this is moderately transparent.

    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?

    Single sentence, front-loaded with action, no waste. Essential information is conveyed efficiently.

    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?

    Tool is simple, and output schema likely covers return values. However, the description omits session parameter context and does not clarify if any side effects (e.g., persistent notifications) exist. Adequate but not fully complete given no annotations.

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

    Parameters2/5

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

    Schema coverage is 0%, so description must compensate. It explains 'summary' with a character limit but does not define its role (e.g., message text). 'Session' parameter is completely unaddressed, leaving ambiguity. This partially adds meaning but insufficiently for two parameters.

    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?

    Clearly states the tool shows a Bell popup when a task finishes, with a specific verb ('Show') and resource ('Bell popup'). Distinguishes from any potential sibling by its unique action, though no siblings are listed.

    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?

    Provides a guideline to keep the summary short (~120 characters), which implies appropriate usage context for concise notifications. No explicit when/when-not guidance, but the tool's purpose is self-evident given no siblings.

    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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