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timps_browser_automation

Generate Playwright E2E tests with page objects, fixtures, and CI configuration from plain-English requests, automating browser test creation for Python projects.

Instructions

Generate Playwright E2E tests with page objects, fixtures, and CI config.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestNoPlain-English task or context for the agent.
languageNoPrimary programming language (default: python).python
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral details, but it only states that the tool generates tests. It does not mention whether files are written to disk, whether tests are executed, what side effects occur, or what the agent receives in response.

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, focused sentence with no filler. Every phrase ('page objects,' 'fixtures,' 'CI config') adds concrete value about scope and deliverable.

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 tool that generates a full Playwright test suite, the description feels under-specified: it lacks behavioral expectations and return-value guidance, and there is no output schema to compensate. It is adequate for basic selection but deficient for understanding execution impact.

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 the 'request' and 'language' parameters. The description does not add parameter-level context, but since the schema covers both parameters, 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 uses a strong verb ('Generate') with a specific resource ('Playwright E2E tests') and concrete artifacts ('page objects, fixtures, CI config'). This clearly differentiates it from sibling test-related tools and other automation agents.

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 intended use is implied by 'Playwright E2E tests,' so an agent can infer when this tool is relevant. However, there is no explicit when-to-use or when-not-to-use guidance, and no alternatives are named despite many similar sibling 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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