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Server Quality Checklist

67%
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  • Latest release: v0.1.0

  • Disambiguation5/5

    Only one tool exists, so there are no overlapping purposes. The tool's description clearly defines its role as inspecting elements and applying CSS edits.

    Naming Consistency5/5

    The tool name 'inspect_element' follows a clear snake_case verb_noun pattern. With only one tool, naming consistency is trivially perfect.

    Tool Count3/5

    The server has a single tool, which is on the thin side for a typical server. However, the tool is comprehensive and covers a complete debugging workflow, so it's borderline but not severely lacking.

    Completeness5/5

    The tool describes a full workflow: inspect, edit, verify, iterate, copy. This covers the core needs of CSS debugging without apparent gaps.

  • Average 4.7/5 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
  • This repository is licensed under MIT License.

  • 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 provided, the description carries the full burden of behavioral disclosure. It reveals that css_edits produce immediate visual feedback via screenshot, that changes are iterative and not persisted (implying the need to copy CSS to source files), and that autoZoom/autoCenter affect the viewport for analysis. It does not mention error cases, side effects, or exact persistence behavior, but it covers the key behavioral traits relevant to an AI agent. A score of 4 reflects the strong context provided while acknowledging the lack of caveats about network/URL limitations or security implications.

    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 quite long, but it is well-structured with clear section headers, numbered steps, and bullet lists that improve scannability. The workflow overview is front-loaded, and each parameter description is organized into logical subsections. However, there is some repetition (e.g., the benefits of iteration and autoZoom are restated multiple times), and the length could be trimmed without losing essential information. Still, it earns a 4 because every section serves a clear purpose and the structure aids comprehension.

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

    Completeness5/5

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

    Given the tool has 8 parameters, no output schema, and no siblings, the description is exceptionally complete. It covers the full workflow, provides usage scenarios, explains parameter strategies, includes iteration signals and stopping criteria, and even details how to extract final CSS. It tells an agent everything needed to use the tool effectively, from initial inspection to final code copy, making it self-contained and contextually rich.

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

    Parameters5/5

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

    Though schema description coverage is 100%, the description adds substantial value beyond the raw schema. For example, css_edits is explained with iterative patterns and common fixes, property_groups lists all six groups with debugging strategies, zoomFactor maps values to visual outcomes, and css_selector includes selector strategies and selection tips. This transforms parameter usage from mechanical input to strategic guidance, far exceeding the baseline of 3.

    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 clearly states the tool's purpose with a specific verb ('inspect') and resource ('element'), and expands into a complete DevTools-like workflow: inspect → edit → verify → iterate → copy. It explicitly frames the tool as a pixel-perfect CSS debugging solution, which is a distinct and well-defined purpose. Although no sibling tools are provided for differentiation, the description's specificity makes the purpose unambiguous.

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

    Usage Guidelines5/5

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

    The description includes a dedicated 'WHEN TO USE' section with concrete examples such as 'This button is misaligned' and 'Colors don't match design', clearly mapping user intentions to tool actions. It also outlines a step-by-step workflow (inspect, identify, test, iterate, extract) that tells the agent exactly when and how to invoke the tool at each stage. The lack of sibling tools means no alternative comparison is needed, but the guidance is explicit and actionable.

    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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