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drgost1

Ring MCP

by drgost1
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Server Quality Checklist

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

  • Latest release: v1.3.0

  • Disambiguation5/5

    With only one tool, there is no possibility of confusion or overlap. The tool's purpose is singular and clearly described.

    Naming Consistency5/5

    The single tool name 'ring' is a clear verb that matches its action. Since there is only one tool, consistency is trivially maintained.

    Tool Count3/5

    The server has only one tool, which feels thin even for a narrowly scoped purpose. However, the tool is rich enough to cover the core functionality, making the count borderline but not unreasonable.

    Completeness5/5

    The tool fully covers the domain of ringing and managing notification bells, including multiple concurrent rings, replies, options, and fallback behavior. There are no obvious missing operations for the server's stated purpose.

  • Average 3.7/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 0 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

  • Behavior4/5

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

    With no annotations, the description carries the burden of transparency and does well: it discloses no auto-dismiss by default, popup waits for user, supports mute/dismiss-all, and falls back to OS notification if popup fails. It also explains concurrent rings and interaction keys. It stops short of detailing return semantics, but otherwise provides extensive behavioral context.

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

    Conciseness4/5

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

    The description is well-structured and front-loaded with the core purpose, then progressively adds operational details. It is moderately long but every sentence contributes meaningful behavior; no redundant filler. Slightly dense but justified for a feature-rich tool.

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

    Completeness2/5

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

    The tool is complex (interactive popup with options), yet the description omits what the function returns to the caller. Since there is no output schema, the agent cannot know whether the result includes the user's text reply, selected options, or timeout status. This is a critical gap for a tool meant to gather user input. The fallback failure is mentioned, but success response semantics are missing.

    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?

    The schema covers all parameters with descriptions, achieving 100% coverage. The description adds interaction context (e.g., 1-9 keys to toggle, Esc to dismiss) and relates options/selectionMode behavior, but does not significantly enhance parameter meaning beyond what the schema already provides. Baseline 3 is appropriate.

    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 clear, specific action: 'Ring a notification bell that opens a tab in a single always-on-top popup window.' It distinguishes the tool's interactive nature (tabs, options, text replies) and its notification behavior, making the purpose unmistakable.

    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 when to use the tool (to present interactive notifications), but it does not provide explicit when-to-use guidance or exclusions since no sibling tools are listed. It does clarify behavior like blocking until user action and fallback, but lacks direct alternatives or recommended scenarios.

    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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  • Evaluate tool definition quality.

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