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Sindhura30

Performance Analysis MCP Server

by Sindhura30
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Server Quality Checklist

58%
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  • Latest release: v0.1.0

  • Disambiguation5/5

    With only one tool, there is no possibility of confusion between tools; the purpose is singular and clear.

    Naming Consistency5/5

    The single tool follows a consistent verb_noun pattern (analyze_page), which is clear and predictable.

    Tool Count2/5

    The server claims to be a Performance Analysis MCP Server but provides only one tool, which is too few for the implied broader scope. A single tool feels thin and under-scoped.

    Completeness2/5

    The server covers only basic page performance metrics. Missing tools for audits, comparisons, history, or reporting create significant gaps for a performance analysis server.

  • Average 3.9/5 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

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  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

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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?

    Annotations already provide readOnlyHint=true and openWorldHint=true. Description adds that it uses Playwright and CDP, implying a browser launch and network dependency, which is useful context. It does not contradict annotations.

    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?

    One concise sentence, front-loaded with action and resource. No extraneous information. Score slightly reduced because it could be grammatically tighter ('Collect' vs 'Collects').

    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 the simplicity of one parameter, no output schema, and good annotations, the description is fairly complete. It explains what the tool does and its input. Could mention what metrics are collected or typical output format.

    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?

    Single parameter 'url' has full schema coverage (100%) with clear description. The tool description does not add new semantics beyond what the schema provides, so baseline score of 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?

    Description uses specific verb 'Collect' and resource 'page performance metrics', clearly indicating the tool's function. It specifies the scope 'public http(s) URL' and mentions technology 'Playwright and CDP', leaving no ambiguity.

    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?

    Description explicitly states the tool works with 'public http(s) URL', guiding when to use. No alternatives given, but with no sibling tools, this is sufficient. Could be slightly enhanced with explicit 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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