Playwright MCP Server

by lebrodus

Overview Schema Related Servers Score Discussions

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Server Quality Checklist

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Latest release: v1.0.0
Disambiguation5/5
Every tool has a clearly distinct purpose with no ambiguity. The tools cleanly separate into three categories: HTTP methods (GET, POST, PUT, PATCH, DELETE), browser interaction (click, fill, hover, navigate, screenshot, select), and JavaScript execution (evaluate). There is no overlap between these functional areas.
Naming Consistency5/5
All tools follow a perfect 'playwright_verb' naming pattern with consistent snake_case throughout. The verb choices are precise and descriptive (click, fill, hover, navigate, evaluate, screenshot, select, get, post, put, patch, delete), creating a highly predictable and readable naming convention.
Tool Count5/5
12 tools is well-scoped for a Playwright automation server. The count provides comprehensive coverage of core browser automation and HTTP testing capabilities without being overwhelming. Each tool clearly earns its place in the toolkit.
Completeness4/5
The tool surface is nearly complete for browser automation and HTTP testing. It covers navigation, interaction, JavaScript execution, screenshots, and full HTTP method support. Minor gaps might include waiting/retry mechanisms or file upload/download operations, but core workflows are well covered.
Average 2.8/5 across 12 of 12 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
Add a glama.json file to provide metadata about your server.
If you are the author, simply .
If the server belongs to an organization, first add glama.json to the root of your repository:
```
{
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "maintainers": [
    "your-github-username"
  ]
}
```
Then . Browse examples.
Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

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 only states the HTTP method without mentioning authentication needs, rate limits, error handling, or what the tool actually does in the Playwright context (e.g., interacting with a web page). This is inadequate for a mutation 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 a single, efficient sentence with zero waste. It's appropriately sized and front-loaded, though it lacks substance.
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?
For a mutation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what the tool returns, how it behaves in the Playwright ecosystem, or address complexity beyond the basic HTTP method. More context is needed 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?
Schema description coverage is 100%, so the schema already documents both parameters. The description doesn't add any meaning beyond what the schema provides, such as clarifying the 'value' parameter format or 'url' constraints. Baseline 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Perform an HTTP PATCH request' restates the tool name 'playwright_patch' without adding specificity about what resource it patches or how it differs from siblings like playwright_put or playwright_post. It's a tautology that doesn't clarify the actual purpose beyond the HTTP method.
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 is provided on when to use this tool versus alternatives like playwright_put or playwright_post. The description doesn't mention any context, prerequisites, or exclusions, leaving the agent to infer usage from the HTTP method 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. It states 'Navigate to a URL' but doesn't explain what this entails—e.g., whether it opens a browser, loads a page, handles redirects, requires authentication, or has side effects like network requests. This lack of detail makes it inadequate for understanding the tool's behavior beyond the basic action.
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 with a single sentence 'Navigate to a URL', which is front-loaded and wastes no words. Every part of the sentence directly contributes to the purpose, making it efficient and well-structured for its brevity.
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 complexity (likely involves browser interaction), lack of annotations, no output schema, and minimal parameter documentation, the description is incomplete. It doesn't cover what happens after navigation (e.g., page load, errors, return values) or prerequisites, leaving significant gaps for an agent to use it effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 1 parameter with 0% description coverage, so the schema provides no details about 'url'. The description adds no meaning beyond implying a URL is needed—it doesn't specify format (e.g., must be valid HTTP/HTTPS), constraints, or examples. This fails to compensate for the low schema coverage, leaving the parameter poorly documented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Navigate to a URL' clearly states the action (navigate) and target (URL), making the basic purpose understandable. However, it lacks specificity about what 'navigate' entails (e.g., browser navigation vs. API navigation) and doesn't distinguish it from siblings like 'playwright_get' which might have overlapping functionality. This makes it vague rather than precise.
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 is provided on when to use this tool versus alternatives. Given sibling tools like 'playwright_get' (which might retrieve content) and 'playwright_post' (which might send data), the description offers no context for selection. This leaves the agent without explicit or implied usage instructions.
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 but provides minimal behavioral information. It states it performs an HTTP DELETE request but doesn't disclose what happens after the request (success/failure responses, error handling, side effects), authentication requirements, rate limits, or what gets destroyed. For a mutation tool with zero annotation coverage, this is inadequate 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 extremely concise - a single sentence with zero waste. It's front-loaded with the core action and appropriately sized for what it communicates. Every word earns its place, though it could benefit from additional context.
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 this is a mutation tool (DELETE) with no annotations, no output schema, and minimal description, the description is incomplete. It doesn't explain what the tool returns, error conditions, or behavioral expectations. For a tool that performs destructive operations in a Playwright context, more information about typical use cases, response handling, and integration with other Playwright tools would be needed.
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% with the single 'url' parameter well-documented in the schema. The description doesn't add any meaningful parameter semantics beyond what the schema already provides (URL to perform DELETE operation). It doesn't explain URL format expectations, authentication requirements in URLs, or what constitutes a valid DELETE endpoint. 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.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the action ('Perform an HTTP DELETE request') which is a clear verb, but it doesn't specify what resource it operates on or differentiate from sibling tools. It's vague about what exactly gets deleted - URLs, API endpoints, or web elements? Compared to siblings like playwright_click or playwright_fill, the purpose is generic rather than specific to the Playwright context.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives. The description doesn't mention when DELETE is appropriate versus other HTTP methods (like GET, POST, PUT, PATCH from siblings), nor does it specify typical use cases like deleting resources through REST APIs. There's no mention of prerequisites or context for when this tool should be selected.
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 states the action ('Perform an HTTP GET request') but doesn't describe traits like error handling, response format, timeouts, or authentication needs. For a tool with no annotations, this is a significant gap in behavioral 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?
The description is a single, efficient sentence with zero waste: 'Perform an HTTP GET request.' It's front-loaded and appropriately sized for its purpose, making it easy to parse quickly 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 incomplete for a tool performing HTTP operations. It doesn't explain what the tool returns (e.g., response body, status code) or address potential complexities like handling redirects or errors. For a tool with no structured data support, the description should provide more context to be fully helpful.
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 schema description coverage is 100%, with the 'url' parameter fully documented in the schema. The description doesn't add any meaning beyond what the schema provides, such as URL format examples or constraints. Given the high schema coverage, a baseline score of 3 is appropriate as the schema handles parameter documentation adequately.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Perform an HTTP GET request' clearly states the action (perform) and resource (HTTP GET request), making the purpose understandable. However, it doesn't distinguish this tool from its siblings like playwright_post or playwright_put, which also perform HTTP operations but with different methods. The purpose is clear but lacks sibling differentiation.
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 when to choose GET over POST, PUT, or other HTTP methods available in sibling tools, nor does it specify prerequisites or contexts for usage. This leaves the agent without explicit or implied usage instructions.
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 action ('click') but doesn't add context such as whether it waits for the element to be clickable, handles errors if the selector is invalid, or what happens after clicking (e.g., page navigation). This leaves significant gaps in understanding 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, direct sentence ('Click an element on the page') that is front-loaded and wastes no words. It efficiently conveys the core action without unnecessary elaboration, 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 a browser interaction tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral traits (e.g., error handling, waiting behavior) and doesn't explain what the tool returns or its side effects, which are crucial for effective use in an automation context.
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 input schema has 100% description coverage, with the selector parameter clearly documented as a CSS selector. The description doesn't add any meaning beyond this, such as examples or constraints on selector syntax, so it meets the baseline of 3 where the schema does the heavy lifting.
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 'Click an element on the page' clearly states the action (click) and target (element on page), which is specific and understandable. However, it doesn't differentiate from sibling tools like playwright_hover or playwright_select, which also interact with page elements, so it doesn't fully distinguish its unique purpose.
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., requiring a page to be loaded), exclusions, or comparisons to siblings like playwright_hover (for hovering) or playwright_select (for dropdowns), leaving the agent to infer usage 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 what the tool does but lacks critical details: it doesn't mention execution context (e.g., current page, frame), error handling, security implications, or what happens if the script fails. This is a significant gap for a tool that executes arbitrary JavaScript in a browser environment.
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—a single, clear sentence that directly states the tool's function without any unnecessary words. It is front-loaded with the core action, making it easy to understand at a glance.
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?
For a tool that executes JavaScript in a browser—a potentially complex and risky operation—the description is inadequate. With no annotations, no output schema, and minimal behavioral context, it fails to provide essential information about execution environment, error handling, or security considerations, leaving significant gaps for an AI agent to use it safely and effectively.
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 schema description coverage is 100%, with the 'script' parameter clearly documented as 'JavaScript code to execute'. The description adds no additional semantic information beyond this, such as examples of valid scripts, return value expectations, or constraints on script content. Given the high schema coverage, a 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 the action ('Execute JavaScript') and the context ('in the browser console'), which is specific and unambiguous. However, it doesn't explicitly differentiate from sibling tools like playwright_get or playwright_navigate, which might also involve browser interactions but serve different 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 no guidance on when to use this tool versus alternatives. It doesn't mention scenarios where executing JavaScript is preferred over other browser automation tools (e.g., playwright_click for clicks, playwright_fill for form inputs), nor does it specify prerequisites or exclusions for its use.
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 states the action but doesn't explain key traits like whether it requires the page to be loaded, if it triggers events, error handling, or performance implications. This is a significant gap for a mutation tool with zero 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, efficient phrase ('fill out an input field') with no wasted words. It's front-loaded and directly conveys the core action, making it highly concise and well-structured for its purpose.
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 a browser automation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavior, error cases, and how it fits within the Playwright context, making it inadequate for safe and effective use by an AI agent.
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%, with clear descriptions for both parameters (selector and value). The description doesn't add any meaning beyond the schema, such as examples or constraints, but the schema adequately documents the inputs, so the 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 'fill out an input field' clearly states the action (fill) and target (input field), making the purpose understandable. However, it doesn't distinguish this from similar sibling tools like playwright_select or playwright_click, which might also interact with input fields, so it lacks sibling differentiation.
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, context, or exclusions, such as whether it's for text inputs only or how it differs from playwright_select for dropdowns. This leaves the agent with minimal usage 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?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action but doesn't describe what happens after hovering (e.g., whether it triggers events, waits for UI updates, or has side effects like opening menus). For a UI interaction 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 zero waste. It's front-loaded with the core action and target, making it easy to parse quickly 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 incomplete for a UI interaction tool. It doesn't explain the outcome of hovering (e.g., what the tool returns or any behavioral effects), leaving gaps in understanding how to use it effectively in workflows.
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%, with the single parameter 'selector' clearly documented in the schema as 'CSS selector for element to hover'. The description doesn't add any meaning beyond this, such as selector best practices or examples, but the schema provides adequate baseline information.
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 ('hover') and target ('an element on the page'), which is specific and unambiguous. It doesn't explicitly differentiate from siblings like playwright_click or playwright_select, but the verb 'hover' is distinct enough to imply a different interaction type.
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. With siblings like playwright_click, playwright_select, and playwright_fill available, there's no indication of when hovering is appropriate (e.g., for triggering dropdowns or tooltips) versus when other interactions are needed.
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 but only states the basic action without disclosing behavioral traits such as authentication needs, error handling, rate limits, or what happens on success/failure. It mentions 'POST request' but doesn't clarify if it's idempotent, destructive, or has side effects beyond the implied data submission.
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 zero waste—'Perform an HTTP POST request' is front-loaded and directly states the tool's purpose without unnecessary elaboration. It's appropriately sized for a simple HTTP tool.
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 HTTP operations, no annotations, and no output schema, the description is incomplete. It lacks context on response handling, error cases, or behavioral expectations, which are critical for an agent to use this tool correctly in real-world scenarios.
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 input schema has 100% description coverage, clearly documenting both parameters (url and value). The description adds no additional meaning beyond what the schema provides, such as format examples or constraints, so it meets the baseline of 3 for high schema coverage without extra value.
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 ('Perform an HTTP POST request') with a specific HTTP method, which distinguishes it from siblings like playwright_get or playwright_delete. However, it doesn't specify what resource or endpoint it targets beyond the generic 'HTTP POST request', making it slightly less specific than ideal.
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 playwright_put or playwright_patch, nor does it mention any prerequisites or context for POST requests. It's a generic statement that offers no usage differentiation among the HTTP method siblings.
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 action but doesn't describe what the tool actually does beyond the basic HTTP operation—no information on authentication needs, error handling, response format, rate limits, or side effects. For a tool that performs network operations, 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 extremely concise—a single, direct sentence that states the tool's purpose without any fluff or redundancy. It's front-loaded and wastes no words, 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.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of HTTP operations and the lack of annotations or output schema, the description is insufficient. It doesn't cover behavioral aspects like what the tool returns, error conditions, or practical usage context. For a tool that interacts with external systems, more detail is needed to ensure correct invocation.
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 schema description coverage is 100%, with clear descriptions for both parameters (URL and data value). The description doesn't add any meaningful semantics beyond what the schema already provides—it doesn't explain parameter interactions, data format expectations (e.g., JSON, plain text), or usage examples. Baseline 3 is appropriate since the schema does the heavy lifting.
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 ('Perform an HTTP PUT request') which is a specific HTTP method, though it doesn't explicitly mention what resource it operates on beyond the URL parameter. It distinguishes itself from siblings like playwright_get or playwright_post by specifying the PUT method, but doesn't articulate what makes PUT unique compared to other HTTP methods in this context.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 playwright_post or playwright_patch. It doesn't mention typical use cases for PUT (e.g., updating or replacing resources), prerequisites, or any context-specific recommendations, leaving the agent to infer usage from the method 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?
No annotations are provided, so the description carries full burden. It states the action but lacks critical behavioral details: it doesn't mention if this requires a page to be loaded, what happens on failure (e.g., invalid selector), whether it's synchronous or asynchronous, or any performance/rate limits. For a tool with 7 parameters and no annotation coverage, this is a significant gap.
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 directly states the tool's purpose without unnecessary words. It's front-loaded and wastes no space, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (7 parameters, no output schema, and no annotations), the description is insufficient. It lacks context on prerequisites (e.g., needing an active browser session), output behavior (what is returned—file path, base64 data?), error handling, and interaction with sibling tools, leaving significant gaps for an AI agent.
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%, providing clear documentation for all 7 parameters, so the description adds no additional parameter semantics. The baseline score of 3 reflects adequate coverage by the schema alone, with the description not compensating but not detracting either.
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 ('Take a screenshot') and target ('current page or a specific element'), which is specific and unambiguous. However, it doesn't differentiate from sibling tools like playwright_get or playwright_evaluate that might also involve page interactions, missing explicit distinction.
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. With siblings like playwright_get (which might retrieve page content) or playwright_evaluate (which might execute scripts), there's no indication of scenarios where screenshotting is preferred over other methods for capturing page state.
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 the full burden of behavioral disclosure. It states the action but doesn't describe what happens (e.g., whether it triggers events, waits for completion, or handles errors). For a mutation tool without annotations, 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 zero waste. It's front-loaded with the core action and target, making it highly concise and well-structured for quick understanding.
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 no annotations, no output schema, and a mutation tool with two parameters, the description is incomplete. It lacks details on behavior, error handling, or return values, leaving gaps for an AI agent to use it correctly in context with sibling tools.
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 schema already documents both parameters (selector and value). The description adds no additional meaning beyond what the schema provides, such as examples or context for 'Select tag'. Baseline 3 is appropriate when the schema does the heavy lifting.
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 ('Select an element') and the target ('on the page with Select tag'), which is specific and distinguishes it from siblings like playwright_click or playwright_fill. However, it doesn't explicitly mention that this is for dropdown/select elements, which could be inferred but isn't fully explicit.
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., needing a page loaded), exclusions, or compare it to sibling tools like playwright_fill for input fields. Usage is implied but not stated.
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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