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gzigurella

chromium-mcp

by gzigurella

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.1.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: fetching full page, extracting data via selectors, getting link info, interacting with elements, and taking screenshots. No overlap or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (e.g., fetch_page, extract_data, get_link, interact, screenshot). No mixing of conventions.

    Tool Count5/5

    5 tools is well-scoped for a browser automation server, covering the essential workflows without being excessive or insufficient.

    Completeness4/5

    The tool set covers core web scraping needs: fetching, extracting, interacting, and screenshots. Minor gaps exist (e.g., cookie handling, network capture), but the surface is largely complete for common use cases.

  • Average 3.9/5 across 5 of 5 tools scored. Lowest: 3.2/5.

    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

  • Behavior2/5

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

    No annotations are provided, so the description must fully disclose behavior. It mentions Chromium headless browser (implying resource usage) but does not cover side effects, authentication needs, rate limits, or what happens to the browser instance after use. This is insufficient for a tool with no 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?

    Two sentences are concise and front-load the core action and utility. No unnecessary information, though a slightly more structured format (e.g., mentioning intended use) could improve readability.

    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 hints at return format and browser usage but lacks details on error behavior, timeouts beyond parameter, or handling of network failures. Given no output schema, more completeness would be beneficial.

    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 coverage is 100%, so the schema already documents all 4 parameters well. The description adds minimal value beyond confirming output format ('markdown' or 'html'), which is already in the schema. Baseline score of 3 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 it fetches a web page using Chromium and returns content in markdown or HTML, with specific mention of dynamic sites requiring JavaScript rendering. It distinguishes from siblings like screenshot or interact, but does not explicitly contrast with them.

    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 indicates usefulness for dynamic sites but lacks explicit when-not-to-use guidance or comparison with sibling tools (e.g., when to use fetch_page vs extract_data). No exclusions or prerequisites are mentioned.

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

  • Behavior4/5

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

    No annotations provided, so description carries full burden. It discloses that it returns JSON with text or attributes, supports multiple and attribute extraction. Does not mention error handling or timeouts, but core behavior is clear.

    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, no fluff, front-loaded with core action and returns. Efficient and clear.

    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?

    No output schema, but description mentions JSON return with text or attribute values. For a simple 3-parameter tool, this is adequate. Could briefly mention error cases or sibling differentiators.

    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?

    100% schema description coverage means the schema already explains each parameter well. The description adds no extra parameter-level detail beyond the 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 extracts structured data from a web page using CSS selectors, distinguishing it from siblings like fetch_page (raw content) and get_link (links). Specifies return type and capabilities.

    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?

    Does not explicitly state when to use this tool versus alternatives like fetch_page or get_link. The description implies it's for selective extraction, but no direct guidance.

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

  • Behavior4/5

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

    With no annotations, the description carries the full burden and does well: it discloses the headless browser tech, base64 output, and supported formats. However, it omits details like error handling (e.g., page load failures) or behavior with dynamic content, but overall it provides sufficient transparency for a screenshot tool.

    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 extremely concise: two sentences with no wasted words. The first sentence front-loads the primary action and output format, while the second adds key variations. Every sentence earns its place.

    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 that there is no output schema and 6 parameters, the description is fairly complete for a simple tool. It covers the main use cases (normal, full page, element). However, it does not mention error scenarios or return structure (e.g., base64 string details), which would improve completeness.

    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 coverage is 100%, so baseline is 3. The description adds value by grouping features (e.g., 'full page screenshots' maps to full_page, 'element screenshots via CSS selector' maps to selector). It doesn't repeat schema descriptions but provides conceptual context, earning a score above 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's action ('Take a screenshot'), the resource ('a web page'), and the method ('Chromium headless browser'). It also lists supported formats and features, making the purpose unmistakable. It distinguishes from sibling tools (like fetch_page or extract_data) by focusing on visual capture.

    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 no guidance on when to use this tool versus alternatives (e.g., fetch_page for text content). It lacks explicit 'when-to-use' or 'when-not-to-use' instructions. Without this, an AI agent may incorrectly select this tool for non-visual tasks.

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

  • Behavior4/5

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

    With no annotations, the description carries the burden. It discloses that the tool returns markdown after all actions, which is behavioral. However, it lacks details on error handling (e.g., if a selector fails), timeouts, or any side effects. Still, the core behavior is clear.

    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 purpose and technology, second lists actions and output. Front-loaded with key information, no fluff. Every sentence earns its place.

    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 no output schema, the description provides the return format (markdown). The tool has three parameters with full schema descriptions, and siblings are distinct. The description is sufficient for an agent to understand the tool's role and how to use it.

    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 baseline 3. The description adds meaning by stating that actions are executed in sequence and that the final result is markdown, which the schema lacks (no output schema). However, it does not go beyond listing the same action types already in the enum.

    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: interacting with web page elements via a Chromium headless browser, executing actions like click, fill, select, scroll, and wait in sequence, and returning the final page content as markdown. This distinguishes it from siblings like fetch_page (raw fetch) or extract_data (likely extraction), making it specific.

    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 usage for interactive sequences but does not explicitly state when to use this tool versus alternatives (e.g., when no interaction is needed, use fetch_page). No when-not-to-use or alternative tool names are provided.

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

  • Behavior4/5

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

    No annotations provided, so description carries full burden. It discloses default behavior (extract href without clicking) and the click mode (follows link, returns final URL). Also mentions timeout. Does not contradict any annotations.

    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 sentences, no fluff. First sentence states main purpose, second explains default vs click, third lists use cases. Every sentence is informative and concise.

    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?

    No output schema, but description implies return of href and text. Covers both modes and all parameters. Lacks explicit detail on return format (e.g., structure of response), but adequate for agent understanding.

    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 coverage is 100%, so baseline 3. Description adds context for the click parameter (explains behavior difference) and timeout is already described in schema. No significant extra value beyond schema for url and selector.

    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 clearly states it gets link href and text from a web page, distinguishes between default extraction and click behavior, and lists specific use cases (extracting download links, checking redirect destinations, getting link text). This is specific and distinguishes from sibling tools.

    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?

    Explicitly describes when to use (extracting links, checking redirects, getting link text) and the two modes (default vs click). However, lacks explicit exclusions or comparisons to sibling tools like fetch_page or interact for alternative 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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