Playwright Server MCP
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation4/5
Most tools have distinct purposes targeting different page interactions (clicking, filling, navigating, etc.), but 'playwright_get_html_content' and 'playwright_get_text_content' could potentially be confused as both retrieve content from the page, though their descriptions clarify the difference. Overall, the overlap is minimal and manageable.
Naming Consistency5/5All tool names follow a consistent 'playwright_' prefix with snake_case and clear verb_noun patterns (e.g., playwright_click, playwright_navigate). This predictability makes it easy for agents to understand and select tools without confusion.
Tool Count5/5With 8 tools, this server is well-scoped for a Playwright automation purpose, covering essential actions like navigation, interaction, content retrieval, and screenshots. Each tool serves a clear, necessary function without bloat or redundancy.
Completeness4/5The toolset covers core web automation tasks effectively, including navigation, element interaction, content extraction, and screenshots. A minor gap exists in advanced operations like handling pop-ups, waiting for elements, or managing sessions explicitly, but agents can likely work around these with the provided tools.
Average 2.9/5 across 8 of 8 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No issues in the last 6 months
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- No critical vulnerability alerts
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This repository is licensed under Apache 2.0.
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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, the description carries full burden but provides minimal behavioral context. It doesn't disclose if this requires page interaction permissions, whether it waits for elements, if it handles errors like missing selectors, or what happens on success/failure. 'Fill out' implies a write operation, but no safety or side-effect details are given.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's appropriately sized for a simple tool and front-loaded with the core action, though it could benefit from more detail given the lack of annotations.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (a write operation with no annotations and no output schema), the description is incomplete. It doesn't explain return values, error conditions, or behavioral nuances like waiting or validation. For a mutation tool in a browser automation context, this leaves significant gaps for an agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents both parameters (selector and value). The description adds no additional meaning beyond what's in the schema, such as examples or constraints (e.g., selector must target an input element). Baseline 3 is appropriate when schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Fill out an input field' states a clear action (fill) and target (input field), but it's vague about scope and doesn't distinguish from siblings like playwright_click_text (which might also interact with inputs). It doesn't specify whether this works for all input types or just text fields.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., page must be loaded), exclusions (e.g., not for dropdowns), or comparisons with siblings like playwright_click (for buttons) or playwright_evaluate (for custom scripts).
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 automatic session creation, which is useful context about initialization behavior. However, it lacks details on error handling (e.g., invalid URLs), navigation timeouts, or whether it waits for page load—critical for a navigation tool. The description adds some value but is incomplete for behavioral transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief but contains a typo ('thip op' instead of 'this operation'), which reduces clarity. It's front-loaded with the main action but could be more structured. The single sentence is efficient but could be improved for readability.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (navigation with session management), no annotations, no output schema, and low schema coverage, the description is insufficient. It misses key details like return values (e.g., success status), error conditions, or interaction with sibling tools. The automatic session creation hint is helpful but doesn't provide complete context for effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 1 parameter (url) with 0% description coverage, so the schema provides no semantic details. The description doesn't add any parameter-specific information beyond implying a URL is needed. Since there's only one parameter, the baseline is higher, but the description doesn't compensate for the lack of schema coverage with details like URL format or validation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Navigate to a URL') and resource (a URL), making the purpose understandable. However, it doesn't explicitly differentiate this navigation tool from sibling tools like playwright_click or playwright_fill, which perform different browser interactions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides minimal guidance with 'thip op will auto create a session' (likely meaning 'this operation will automatically create a session'), suggesting it handles session initialization. However, it doesn't specify when to use this tool versus alternatives like direct URL input in other tools or mention prerequisites like needing a browser context.
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 basic action but lacks critical details: it doesn't mention error handling (e.g., what happens if the selector doesn't exist), whether it waits for the element to be clickable, if it triggers page navigation, or any side effects like opening new windows. This leaves significant gaps for safe and effective use.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence with zero wasted words. It front-loads the key action ('click') and efficiently conveys the essential information (target and method), making it easy for an agent to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a browser automation tool with no annotations and no output schema, the description is insufficient. It omits behavioral traits (e.g., error handling, waiting behavior), output details, and guidance on usage relative to siblings. For a tool that interacts with dynamic web pages, more context is needed to ensure reliable agent operation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100%, with the single parameter 'selector' fully documented in the schema as 'CSS selector for element to click'. The description adds no additional semantic context beyond implying the parameter is used for clicking, so it meets the baseline of 3 where the schema does the heavy lifting without extra value from the description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('click') and target ('element on the page'), and specifies the method ('using CSS selector'). It distinguishes itself from generic clicking by mentioning the CSS selector approach, though it doesn't explicitly differentiate from its sibling 'playwright_click_text' which presumably clicks based on text content rather than selector.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does 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 'playwright_click_text' (for text-based clicking) or other interaction tools such as 'playwright_fill'. There's no mention of prerequisites (e.g., requiring a page to be loaded) or typical use cases, leaving the agent to infer usage from context alone.
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 full burden for behavioral disclosure. It states what the tool does but doesn't describe execution context (e.g., runs in current page context, returns console output, may affect page state), error handling, or security implications. For a JavaScript execution tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is 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 functionality and appropriately sized for a tool with one parameter. Every word earns its place in conveying the essential purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a JavaScript execution tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after execution (e.g., returns last expression value, console output, or errors), doesn't mention execution context or limitations, and provides no examples. Given the complexity of browser JavaScript execution and lack of structured data, more completeness is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% with the single 'script' parameter well-documented in the schema. The description doesn't add any parameter-specific information beyond what the schema provides (e.g., no examples of valid JavaScript, no mention of return value handling). This meets the baseline for high schema coverage but doesn't enhance parameter understanding.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Execute JavaScript in the browser console' clearly states the action (execute) and target (JavaScript in browser console). It distinguishes from siblings like playwright_click or playwright_navigate by focusing on script execution rather than UI interaction or navigation. However, it doesn't explicitly differentiate from potential similar tools beyond the sibling list provided.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does 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 use cases like DOM manipulation, data extraction, or testing scenarios where JavaScript execution is needed over simpler UI actions. No exclusions or prerequisites are stated, leaving the agent to infer usage from the tool name alone.
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 but offers minimal insight. It doesn't mention whether this tool requires a loaded page, how it handles missing selectors, if it returns raw HTML or a parsed structure, or any performance considerations like timeouts. The description merely restates the basic function without operational context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, direct sentence with zero wasted words, making it highly concise and front-loaded. It efficiently communicates the core action without unnecessary elaboration, though this brevity contributes to gaps in other dimensions.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given 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 incomplete for a tool that interacts with a dynamic environment like a web page. It fails to address key contextual aspects such as error handling, return format (e.g., string vs. structured HTML), dependencies on page state, or how it differs from sibling tools, leaving significant gaps for an AI agent to infer.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, clearly documenting the single 'selector' parameter as a CSS selector for the element. The description adds no additional meaning beyond this, as it doesn't elaborate on selector syntax, examples, or constraints. With high schema coverage, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Get') and resource ('HTML content of the page'), making the purpose immediately understandable. However, it doesn't distinguish this tool from its sibling 'playwright_get_text_content', which suggests a similar retrieval function but for text rather than HTML content.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does 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 'playwright_get_text_content' for text content or 'playwright_evaluate' for more complex DOM interactions. It lacks context about prerequisites (e.g., requiring a page to be loaded) or exclusions, leaving usage decisions ambiguous.
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 full burden for behavioral disclosure. It states the action but doesn't describe what happens after the screenshot is taken (e.g., where it's saved, format, size limits), whether it requires specific page states, or potential side effects like pausing execution. This leaves significant gaps for a mutation-like operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's front-loaded with the core action and immediately specifies the scope, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and incomplete parameter documentation, the description is inadequate. It doesn't cover behavioral aspects like output handling (e.g., file paths, errors), usage context, or differentiation from siblings, leaving the agent with insufficient information for reliable use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 50% (only 'selector' has a description). The description adds minimal value beyond the schema by implying 'name' is for the screenshot and 'selector' targets elements, but it doesn't clarify 'name' usage (e.g., filename prefix) or provide examples. With low schema coverage, this doesn't fully compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Take a screenshot') and target ('current page or a specific element'), providing a specific verb+resource. However, it doesn't explicitly differentiate from sibling tools like playwright_get_html_content or playwright_get_text_content, which also capture page content but in different formats.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description doesn't mention when to use playwright_screenshot instead of playwright_get_html_content for capturing visual vs. structural content, nor does it specify prerequisites like requiring a page to be loaded first.
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, the description carries full burden but provides minimal behavioral information. It doesn't disclose whether this is a read-only operation, what happens if no elements exist, performance characteristics, or what format the text content is returned in. The phrase 'all elements' is vague without context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without any unnecessary words. It's appropriately sized for a simple tool with no parameters.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and no parameters, the description is insufficient. It doesn't explain what 'all elements' refers to (current page? specific selector?), what format the text is returned in, or how this differs from similar sibling tools. The agent lacks necessary context for proper use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters with 100% schema description coverage, so the description doesn't need to compensate for missing parameter documentation. The baseline for zero parameters is 4, as there are no parameters to explain beyond what's already covered.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get') and target ('text content of all elements'), which is specific and unambiguous. However, it doesn't differentiate from sibling tools like 'playwright_get_html_content' or explain what 'all elements' means in context.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like 'playwright_get_html_content' or 'playwright_evaluate'. The description doesn't mention prerequisites, context requirements, or typical use cases.
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 full burden. It states the action ('click') but doesn't disclose behavioral traits like what happens if multiple elements match the text, whether it waits for elements to be clickable, error handling, or performance implications. The description is minimal and lacks operational context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose with zero wasted words. It's appropriately sized and front-loaded, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a browser automation tool with no annotations and no output schema, the description is incomplete. It doesn't cover behavioral aspects like return values, error conditions, or interaction with page state, leaving significant gaps for an AI agent to understand how to use it effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% (the single parameter 'text' is fully described in the schema as 'Text content of the element to click'), so the baseline is 3. The description adds no additional meaning beyond what the schema provides, such as examples, formatting notes, or edge cases for text matching.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('click') and target ('element on the page by its text content'), distinguishing it from siblings like playwright_click (which likely uses different targeting) and playwright_fill (which performs a different action). It uses a precise verb+resource+targeting method combination.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does 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 playwright_click (presumably using selectors) or other sibling tools. There's no mention of prerequisites, context, or exclusions for text-based clicking versus other methods.
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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