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Server Quality Checklist

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  • Latest release: v0.1.6

  • Disambiguation5/5

    Each tool has a clear, distinct purpose: generating annotations, retrieving elements, highlighting elements, toggling inspect mode, and rescanning after changes. No overlaps cause confusion.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern (annotate, get_elements, highlight_element, inspect_mode, rescan_elements), making them predictable and clear.

    Tool Count5/5

    With 5 tools, the set is well-scoped for the server's purpose of providing an annotation and inspection assistant. Each tool serves an essential step in the workflow.

    Completeness5/5

    The tools cover the full workflow: creating an annotated page, retrieving element details, highlighting specific elements, enabling inspection mode, and refreshing after DOM changes. No critical gaps for the stated purpose.

  • Average 3.9/5 across 5 of 5 tools scored.

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

    • 0 of 1 community issues answered or closed in the last 6 months
    • 0 commits in the last 12 weeks
    • Last stable release on
    • 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.

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

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      "maintainers": [
        "your-github-username"
      ]
    }

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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?

    No annotations are provided, so the description must carry full burden. It only states the action and usage, but does not disclose behavioral traits such as whether the operation is destructive, requires authentication, or any rate limits. 'Force' hints at mutability but is vague.

    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 two sentences long, with the first sentence stating the action and the second providing usage guidance. Every word is purposeful, and the structure is front-loaded.

    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?

    Given zero parameters and no output schema, the description covers purpose and usage adequately. However, it lacks behavioral transparency (e.g., side effects, idempotency) which reduces completeness for a tool with no annotations.

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

    Parameters4/5

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

    The input schema has zero parameters, so schema coverage is 100%. The description does not need to add parameter meaning, and the baseline score of 4 is appropriate.

    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 'force rescan all UI elements' and the resource 'annotated page'. It distinguishes itself from siblings like 'get_elements' (retrieval) and 'annotate' (adding metadata), but does not explicitly name alternatives.

    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?

    The description explicitly tells when to use the tool: 'after page content has changed (e.g. after navigation, DOM updates, or user interaction)'. This provides clear context, though it lacks explicit statements on when not to use or named alternatives.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior3/5

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

    Describes that it adds interactive element labels via proxy URL and user needs a browser. However, no details on permissions, reversibility, or what happens to the original page.

    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?

    Two clear sentences, no extraneous words, efficiently conveys purpose and output.

    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?

    For a simple tool with one param and no output schema, description adequately explains what happens. Could add how to use the returned URL or nature of annotations, but overall sufficient.

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

    Parameters4/5

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

    Schema has one param with description; description adds examples ('http://localhost:3847' or 'localhost:3847') clarifying format, adding value beyond schema.

    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 opens a web page with hover annotations and returns a proxy URL. Distinguishes from siblings by specifying interactive labels on hover, unlike get_elements or highlight_element.

    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?

    No guidance on when to use this tool vs alternatives like inspect_mode or highlight_element. No mention of prerequisites or exclusions.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior3/5

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

    No annotations are provided, so the description must convey behavior. It states 'briefly flash-highlight', indicating a temporary visual effect, but lacks details like duration, effect on page state, or whether it works on hidden elements. Adequate but not exhaustive.

    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?

    Two sentences: first states action, second provides use case. No wasted words, front-loaded with key information.

    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?

    For a simple tool with one parameter and no output schema, the description covers purpose and usage adequately. Lacks information on return value, but likely void (highlight action). Minor gap but otherwise complete.

    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?

    Input schema has 100% description coverage for the single parameter 'name', so the schema already explains it. The description adds 'flash-highlight' context but does not enhance parameter meaning beyond the schema baseline.

    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 flashes a highlight on an element, explicitly distinguishing its purpose from siblings like annotate or get_elements by emphasizing visual confirmation for disambiguation.

    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?

    The description provides a specific use case ('confirming which element you refer to'), which implies when to use, but does not explicitly mention when not to use or suggest alternative tools.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior3/5

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

    No annotations are provided, so the description carries the full burden. It explains the tool's core behavior (enabling/disabling inspect mode and clicking to copy names) but does not disclose potential side effects, persistence, or permissions. For a simple toggle, this is adequate but not exceptional.

    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 consists of three concise sentences that front-load the main action, explain the ON/OFF behaviors, and state the use case. Every sentence adds value with no redundancy.

    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 the tool (single boolean parameter, no output schema), the description covers the essential aspects: purpose, behavior, and usage scenario. It lacks details like whether the mode persists across page loads, but overall it is fairly complete for its complexity.

    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?

    Schema description coverage is 100%, so the baseline is 3. The description does not add additional meaning to the 'enabled' parameter beyond what the schema already provides (true/false). The purpose is conveyed but parameter semantics are not enriched.

    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 toggles inspect mode and explains the behavior in both ON and OFF states. It is specific about the verb 'toggle' and the resource 'inspect mode', and the differentiation from sibling tools (annotate, get_elements, etc.) is implicit as they serve different functions.

    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?

    The description advises to use this tool to help the user copy element names for design change communication. While it does not explicitly list exclusion criteria or alternatives, the context from sibling tools provides sufficient guidance on when to use this tool versus others.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior3/5

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

    Without annotations, the description indicates a read-only operation, but it does not disclose dependencies (e.g., presence of an annotated page, permissions) or potential side effects. The disclosure is basic but sufficient for a simple getter.

    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?

    Three concise sentences: action, return data, usage hint. No redundancy, front-loaded with core purpose. Every sentence adds value.

    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?

    The description lists return fields but omits format or structure details. It assumes understanding of 'annotated page' and does not clarify scope (e.g., only visible elements). Adequate but could be more complete.

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

    Parameters4/5

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

    The tool has no parameters, and the input schema is fully described by its absence. The description adds no parameter details, but none are needed. Baseline score of 4 for zero-parameter tool with 100% schema coverage.

    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 retrieves all UI elements from the annotated page and lists the returned data (names, selectors, positions, sizes). It distinguishes itself from siblings like 'annotate' or 'highlight_element' by focusing on reading existing elements.

    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?

    The description explicitly advises using the tool to understand UI elements the user refers to, providing clear context. However, it does not mention when not to use it or suggest alternatives like 'inspect_mode'.

    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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