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e2e_generate_playwright

Convert E2E test scenarios in Given/When/Then or plain text into executable Playwright code. Specify base URL and API key to generate tests ready for your application.

Instructions

Generate Playwright test code from E2E test scenarios

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoAPI key for authentication
base_urlNoBase URL of the application under test
scenariosYesE2E test scenarios in Given/When/Then or plain text format
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 operation (generate code) but does not disclose whether an external API call is made (the api_key parameter suggests auth is involved), whether the generated code is returned inline or written to files, or what role base_url plays. This silence about side effects and auth is a meaningful gap for a tool with an authentication parameter.

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?

A single tight sentence with no filler — every word ('Generate', 'Playwright', 'test code', 'from E2E test scenarios') carries meaning. It is efficient and front-loaded, though its extreme brevity contributes to the under-specification penalized in other dimensions.

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 generation tool with no output schema, the description never states what the caller receives (generated code inline?) or whether files are written. It also omits usage context relative to the two sibling e2e tools. The three parameters are well-documented in the schema, but the surrounding operational context is thin.

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 api_key, base_url, and scenarios each documented in the input schema, so the baseline of 3 applies. The description echoes 'E2E test scenarios' but adds no semantic detail beyond what the schema already provides, which is acceptable 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.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Generate'), a distinct resource ('Playwright test code'), and the input source ('from E2E test scenarios'). The word 'Playwright' immediately differentiates this from sibling tools e2e_generate_cypress and e2e_generate_scenarios without requiring the agent to inspect any schema.

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 when-to-use or when-not-to-use guidance is provided. The description does not mention e2e_generate_cypress or e2e_generate_scenarios as alternatives, nor any selection condition. The only hint is the tool name itself, leaving the choice among the three e2e siblings entirely to inference.

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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