QA Copilot AI

generate_playwright_script

Generate Playwright TypeScript automation scripts from a scenario description using AI. Produces test code for web application automation.

Instructions

Generate Playwright TypeScript automation scripts using AI.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "scenario": "<scenario>"
    },
    "name": "generate_playwright_script"
  }
}

Input Schema

Name	Required	Description	Default
`scenario`	Yes	Application scenario to automate

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Jul 31, 2026

TDQS

B3.1/5.0

Behavior1/5

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 core action but gives no information about output format, side effects, limitations, permissions, or determinism. The only added trait is 'using AI', which is vague and not elaborated.

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 one concise sentence, front-loaded with the key verb and resource. Every word adds value and there is no redundancy.

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?

For a simple one-parameter tool with no output schema, the description is adequate but minimal. It does not explicitly mention the output/return value, which would be expected without an output schema. The purpose and input are clear, but the lack of return-value context keeps it from being complete.

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

Parameters3/5

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

Schema description coverage is 100% for the single 'scenario' parameter, which already describes it as 'Application scenario to automate'. The tool description does not add further meaning, so the baseline of 3 applies.

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 specifies a verb ('Generate'), a resource ('Playwright TypeScript automation scripts'), and a distinctive method ('using AI'). It distinguishes from sibling tools like generate_test_cases and generate_api_tests by narrowing to Playwright TypeScript specifically.

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 does not mention any exclusions, prerequisites, or context that would help an agent decide between this and sibling generation tools like generate_test_cases.

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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