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pinkpixel-dev

Notifications MCP Server

Server Quality Checklist

83%
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  • Latest release: v1.0.0

  • Disambiguation5/5

    With only one tool, there is no possibility of confusion or overlap between tools, as there are no other tools to compare it against. The tool's purpose is clearly defined and stands alone without ambiguity.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect; there are no other tool names to compare it to, and it follows a clear verb_noun pattern (play_notification). No inconsistencies can exist in a single-tool set.

    Tool Count2/5

    A single tool for a 'Notifications MCP Server' feels thin and under-scoped, as it only provides a basic playback function without supporting operations like listing, creating, or managing notifications. This minimal set limits functionality and may not fully cover the expected domain of notifications.

    Completeness2/5

    The tool surface is severely incomplete for a notifications server, lacking essential operations such as creating, listing, updating, or deleting notifications. With only a playback tool, agents cannot perform basic CRUD or lifecycle management, leading to significant gaps in functionality.

  • Average 3.1/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 3 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 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.

  • This repository includes a glama.json configuration file.

  • This server has been verified by its author.

  • Add related servers to improve discoverability.

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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

  • Behavior2/5

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

    With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool plays a sound but doesn't describe what kind of sound, whether it's audible to all users, if it requires specific permissions, or any side effects. For a notification tool with zero annotation coverage, this is insufficient.

    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, efficient sentence that communicates the core purpose without any wasted words. It's appropriately sized for a simple tool with one optional parameter.

    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 simple notification tool with one optional parameter and no output schema, the description covers the basic purpose adequately. However, without annotations or behavioral details, it leaves important questions unanswered about how the notification actually works in practice.

    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 has 100% description coverage, so the parameter 'message' is already documented as 'Optional message to display with notification.' The description adds no additional parameter context beyond what's in the schema, meeting the baseline for high schema coverage.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the action ('Play') and resource ('notification sound') with a specific purpose ('to indicate task completion'). It's unambiguous about what the tool does, though it doesn't need to distinguish from siblings since none exist.

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

    Usage Guidelines2/5

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

    The description provides minimal guidance - it suggests using the tool 'to indicate task completion' but offers no explicit when-to-use rules, alternatives, or exclusions. No context about when this is appropriate versus other notification methods is given.

    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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