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AkhatorKing1

Playwright MCP Server

by AkhatorKing1

Server Quality Checklist

67%
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  • Latest release: v1.0.0

  • Disambiguation3/5

    The tools have overlapping purposes that could cause confusion, particularly around snapshot variants (get-full-snapshot, get-interactive-snapshot, get-text-snapshot) which all extract page content in different ways. However, descriptions help differentiate them by specifying focus areas like interactive elements or text content, preventing complete misselection.

    Naming Consistency4/5

    Tool names follow a consistent verb-object pattern with hyphens (e.g., execute-code, get-screenshot), making them predictable and readable. The only minor deviation is 'init-browser' which uses 'init' instead of a more standard verb like 'launch' or 'open', but it still fits the overall naming convention.

    Tool Count5/5

    With 7 tools, this server is well-scoped for browser automation with Playwright, covering key operations like initialization, code execution, and various content extraction methods. Each tool earns its place by addressing distinct aspects of web interaction without being overly sparse or bloated.

    Completeness4/5

    The toolset provides solid coverage for core Playwright workflows, including browser setup, DOM/content access, and automation execution. A minor gap exists in navigation control (e.g., no explicit 'navigate' or 'go-back' tools), but agents can work around this using execute-code or init-browser with URLs.

  • Average 3.4/5 across 7 of 7 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 Apache 2.0.

  • 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?

    With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Initialize a browser') but lacks details on what this entails—e.g., whether it creates a new browser instance, reuses an existing one, requires specific permissions, has side effects (like opening a window), or includes error handling. For a tool with zero annotation coverage, this is a significant gap in transparency.

    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 with no wasted words. It is front-loaded with the core action ('Initialize a browser') and includes the essential parameter context ('with a URL'). Every part of the description earns its place, making it highly concise and well-structured.

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

    Completeness2/5

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

    Given the complexity of browser initialization (which involves system resources and potential side effects), no annotations, and no output schema, the description is incomplete. It doesn't explain what happens after initialization (e.g., whether it returns a browser session ID, waits for page load, or handles errors), leaving the agent with insufficient context for effective use.

    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 description mentions 'with a URL', which aligns with the single parameter 'url' in the input schema. Since schema description coverage is 100% (the schema already documents 'url' as 'The URL to navigate to'), the description adds minimal value beyond restating the parameter's existence. This meets the baseline score of 3 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 ('Initialize a browser') and the target resource ('with a URL'), making the purpose understandable. It distinguishes from siblings like 'get-screenshot' or 'execute-code' by focusing on browser initialization rather than data extraction or code execution. However, it doesn't explicitly differentiate from potential similar tools (e.g., 'launch-browser'), which prevents a perfect score.

    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. It doesn't mention prerequisites (e.g., whether a browser session must be active), exclusions (e.g., when not to initialize), or direct comparisons to sibling tools like 'get-full-dom' (which might require an initialized browser). This leaves the agent without context for tool selection.

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

  • Behavior2/5

    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 mentions the tool captures 'all visible content' but doesn't specify details like whether it requires an active browser session, how it handles dynamic content, potential performance impacts, or what the output format looks like. This leaves significant gaps for a tool that likely interacts with web pages.

    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 a single, well-structured sentence that efficiently conveys the core purpose without redundancy. It's front-loaded with the main action and resource, making it easy to parse. However, it could be slightly more concise by avoiding the parenthetical elaboration, which adds minor verbosity.

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

    Completeness2/5

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

    Given the tool's likely complexity in capturing web page snapshots, the description is insufficient. With no annotations, no output schema, and minimal behavioral details, it fails to provide enough context for effective use. It doesn't explain what 'complete snapshot' entails, how it differs from siblings, or what the agent should expect as a result, leaving critical gaps.

    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 0 parameters, and the schema description coverage is 100%, so there are no parameters to document. The description appropriately doesn't add unnecessary parameter details, aligning with the empty input schema. A baseline score of 4 is applied as it doesn't need to compensate for any parameter gaps.

    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 tool's purpose with specific verbs ('Get a complete snapshot') and resources ('page including all visible content'), making it easy to understand what it does. However, it doesn't explicitly differentiate from sibling tools like 'get-full-dom' or 'get-text-snapshot', which likely serve similar but distinct purposes.

    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 on when to use this tool, only mentioning it's 'for understanding the full context'. It doesn't specify when to choose this over alternatives like 'get-text-snapshot' or 'get-screenshot', nor does it mention any prerequisites or exclusions, leaving usage unclear.

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

  • Behavior2/5

    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. While 'Get a screenshot' implies a read-only operation, it doesn't specify whether this captures the entire viewport, includes scrolling, returns an image format, or has any performance implications. This leaves significant gaps for an agent to understand the tool's behavior.

    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, clear sentence with zero wasted words. It's front-loaded with the core purpose and efficiently communicates the essential action without unnecessary elaboration.

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

    Completeness2/5

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

    Given the lack of annotations and output schema, the description is insufficiently complete. It doesn't explain what the tool returns (e.g., image data, file path, base64 string) or any behavioral nuances like viewport settings or error conditions. For a tool that likely produces visual output, this omission is significant.

    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 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't mention any parameters, which aligns perfectly with the schema. A baseline of 4 is justified since the description doesn't need to compensate for any parameter gaps.

    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 ('Get') and resource ('screenshot of the current page'), making the tool's purpose immediately understandable. However, it doesn't distinguish this tool from potential siblings like 'get-full-snapshot' or 'get-interactive-snapshot', which might also capture visual representations of the page.

    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 like 'get-full-snapshot' or 'get-interactive-snapshot'. It also doesn't mention prerequisites such as needing an initialized browser context, which is implied by sibling tools like 'init-browser'.

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

  • Behavior2/5

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

    No annotations are provided, so the description carries the full burden of behavioral disclosure. It describes what the tool does (gets a snapshot with annotations) but lacks details on behavioral traits such as performance characteristics, error handling, or whether it requires specific browser states. This is a significant gap for a tool with no annotation coverage.

    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, well-structured sentence that efficiently conveys the tool's purpose and context without any wasted words. It is front-loaded with key information ('Get a snapshot focused on interactive elements') and appropriately sized for its complexity.

    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 the tool has no parameters, no annotations, and no output schema, the description is minimally adequate. It explains what the tool does and its intended use ('for UI automation'), but it lacks details on output format, behavioral constraints, or how it differs from siblings. This leaves gaps in understanding for effective agent use.

    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 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't mention any parameters, which is appropriate. A baseline score of 4 is applied since there are no parameters to document, and the description doesn't add unnecessary details.

    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 tool's purpose: 'Get a snapshot focused on interactive elements (buttons, links, inputs) with annotated screenshot for UI automation.' It specifies the verb ('Get'), resource ('snapshot'), and scope ('interactive elements'), though it doesn't explicitly differentiate from sibling tools like 'get-full-snapshot' or 'get-screenshot' beyond mentioning 'focused on interactive elements.'

    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 context ('for UI automation') and suggests when to use it (when needing interactive elements), but it doesn't provide explicit guidance on when to choose this tool over alternatives like 'get-full-snapshot' or 'get-screenshot.' No exclusions or prerequisites are mentioned, leaving usage somewhat open to interpretation.

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

  • Behavior2/5

    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 states the tool 'gets all text content' but does not specify behavioral traits such as performance characteristics (e.g., speed, pagination), error handling, or whether it requires specific page states (e.g., loaded page). This leaves gaps in understanding how the tool behaves beyond its basic function.

    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 front-loads the core action ('Get all text content') and specifies the scope ('from the page') and use cases ('for reading and content extraction'). Every word contributes to understanding without waste, making it highly concise and well-structured.

    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 the tool's complexity (simple text extraction with no parameters) and lack of annotations or output schema, the description is minimally complete. It states what the tool does but lacks details on output format (e.g., structured text, raw string) or behavioral context, which could be important for an agent to use it effectively in varied scenarios.

    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 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately does not discuss parameters, focusing on the tool's purpose instead. This meets the baseline for tools with no parameters, as it avoids unnecessary details and adds value by clarifying the tool's intent.

    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 tool's purpose with specific verbs ('get all text content') and resources ('from the page'), specifying content types like headings, paragraphs, and lists. It distinguishes the tool by focusing on text extraction for reading, but does not explicitly differentiate it from sibling tools like get-full-dom or get-full-snapshot, which might also retrieve text content.

    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 'reading and content extraction,' suggesting when to use this tool (e.g., for text analysis). However, it lacks explicit guidance on when not to use it or alternatives among sibling tools (e.g., vs. get-full-dom for full DOM or get-screenshot for visual capture), leaving usage context partially inferred.

    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?

    With no annotations provided, the description carries the full burden. It discloses that the tool executes code and implies mutation (since it interacts with the page), but lacks details on permissions, error handling, or performance impacts. The input schema's example hints at return structure, but the description itself doesn't explicitly cover behavioral traits like safety or side effects.

    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, front-loaded sentence that directly states the tool's purpose without unnecessary words. It efficiently communicates the core function, making it easy for an agent to quickly understand what the tool does.

    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 the tool's complexity (code execution with potential side effects) and no annotations or output schema, the description is minimally adequate. It covers the basic purpose but lacks details on usage context, error handling, or return values, which are crucial for safe and effective tool invocation.

    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 description coverage is 100%, so the baseline is 3. The description adds value by emphasizing the code must be 'Playwright JS' and target 'the current page', providing context beyond the schema's technical details. However, it doesn't elaborate on parameter constraints or usage nuances, keeping it at a 4.

    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 specific action ('Execute custom Playwright JS code') and target ('against the current page'), distinguishing it from sibling tools that retrieve data or initialize the browser. It precisely communicates the tool's function without ambiguity.

    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 like 'get-full-dom' or 'get-screenshot'. It lacks context about prerequisites (e.g., needing an initialized browser) or scenarios where code execution is preferred over simpler retrieval methods.

    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?

    With no annotations provided, the description carries full burden but only states what the tool does and its deprecation status. It lacks details on behavioral traits like performance implications, error handling, or output format, though the deprecation warning is useful context.

    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?

    It is extremely concise with two sentences that are front-loaded and essential: the first states the purpose, the second provides critical usage guidance. Every word earns its place without 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 tool's simplicity (0 parameters, no output schema, no annotations), the description is nearly complete for its purpose. It covers what the tool does and key usage guidance, though it could benefit from mentioning output behavior or limitations to be fully comprehensive.

    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 0 parameters with 100% schema coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, earning a baseline score above 3 for not adding unnecessary information.

    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 specific action ('Get') and resource ('full DOM of the current page'), with explicit differentiation from its sibling 'get-context'. It avoids tautology by not just repeating the tool name.

    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?

    It explicitly provides when-not-to-use guidance by marking the tool as deprecated and naming the alternative 'get-context'. This gives clear direction for selection among tools.

    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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