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IqbalHere

Visual Loop MCP Server

by IqbalHere

execute_and_render

Run source code to validate logic and render it as HTML, returning console output and a screenshot for visual verification.

Instructions

Execute source code via Codebox (Judge0) for logic validation and render it as HTML in a headless browser via Playwright, returning the console output and a screenshot. Use this to write full-stack UI code and instantly verify both its logic and visual appearance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
language_idYesJudge0-compatible language ID for Codebox execution. Use 63 for JavaScript (Node.js), 82 for HTML/CSS, etc.
source_codeYesThe raw HTML/CSS/JS source code to execute and render.
viewport_widthNoBrowser viewport width in pixels (default: 1280).
viewport_heightNoBrowser viewport height in pixels (default: 720).
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions the process (Codebox execution, Playwright rendering) and outputs (console output, screenshot), but does not disclose potential side effects, execution limits, error behavior, or authentication requirements. This leaves gaps for an AI agent.

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 two sentences, front-loaded with the core functionality in the first sentence. Every word is purposeful with no fluff. It is optimally sized for an AI agent to quickly grasp the tool.

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?

The schema covers all parameters, and no output schema exists. However, the description does not specify the format of the console output or screenshot (e.g., base64, plain text). It also omits constraints like timeouts or size limits, which are relevant for code execution tools. This information would be useful for 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?

Schema coverage is 100% with each parameter described in the schema. The description adds no additional parameter details beyond what is already in the schema. According to the guidelines, baseline is 3, and no extra value is provided.

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 executes source code via Codebox (Judge0) for logic validation, renders it as HTML via Playwright, and returns console output and a screenshot. The verb 'execute and render' and the specific resource (Codebox and Playwright) make the purpose unambiguous. Without sibling tools, differentiation is not needed.

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

Usage Guidelines5/5

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

The description explicitly says 'Use this to write full-stack UI code and instantly verify both its logic and visual appearance,' providing a clear usage context. There are no sibling tools, so no alternatives to exclude, making the guidelines sufficient.

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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