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oguzc

Playwright Wizard MCP Server

by oguzc

analyze-app

Analyzes web applications to detect tech stack, browse pages, evaluate DOM quality, and generate test strategy files for Playwright test suites.

Instructions

⚠️ CALL THIS TOOL IMMEDIATELY to get full workflow instructions. Step 1: Analyze the application - detect tech stack from package.json, browse pages using Playwright MCP, evaluate DOM quality, and create test strategy files (project-config.md, pages.md, selector-strategy.md)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Without annotations, the description carries the full burden and discloses key behaviors: creates multiple files (project-config.md, pages.md, selector-strategy.md) and performs analysis. It uses a warning emoji to signal importance, but some ambiguity remains about whether it returns instructions or executes the analysis directly.

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?

The description is a single sentence that front-loads urgency and clearly enumerates tasks. It is concise but could be slightly more structured with bullet points; however, it remains effective.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given zero parameters, no output schema, and no annotations, the description fully explains the tool's role and outputs. It tells the agent to call it first, which completes the contextual guidance for its simple purpose.

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

Parameters4/5

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

The input schema has no parameters, so the description does not need to explain parameters. Baseline for 0 parameters is 4; no compensation needed.

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 states the tool's purpose: analyze the application by detecting tech stack, browsing pages, evaluating DOM, and creating test strategy files. It distinguishes itself from sibling tools as the initial analysis step.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly advises to call this tool immediately as the first step in the workflow. It provides clear context for when to use, though it does not mention when not to use or alternatives.

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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