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WhiteNightShadow

camoufox-reverse-mcp

compare_env

Compare browser and Node.js/jsdom environment fingerprints to identify differences causing JSVMP validation failures. Collect structured data on navigator, screen, canvas, WebGL, and audio properties.

Instructions

Collect browser environment fingerprint data for comparison with Node.js/jsdom.

Runs a comprehensive set of environment checks in the browser and returns structured results. Compare these with your Node.js/jsdom environment to identify fingerprint differences that cause JSVMP validation failures.

Args: properties: Optional list of specific properties to check. If omitted, checks a comprehensive default set including navigator, screen, canvas, WebGL, audio, and more.

Returns: dict with categorized environment data (navigator, screen, canvas, webgl, audio, timing, etc.) and their values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
propertiesNo
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 discloses that the tool 'runs a comprehensive set of environment checks' and returns 'structured results', but lacks details on potential side effects (e.g., performance impact, browser state changes), error handling, or execution time. It mentions the return format but not behavioral traits like rate limits or prerequisites.

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 well-structured with clear sections (purpose, usage, args, returns) and front-loaded key information. Every sentence adds value, though it could be slightly more concise by combining some explanatory phrases without losing clarity.

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

Completeness4/5

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

Given the tool's moderate complexity (environment fingerprinting), no annotations, and no output schema, the description does well by explaining purpose, usage, parameters, and return format. However, it lacks details on output structure (e.g., example categories) and behavioral aspects like execution constraints, making it slightly incomplete for full transparency.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must compensate. It fully explains the single parameter 'properties': its optional nature, default behavior ('If omitted, checks a comprehensive default set'), and specific examples of what it checks ('navigator, screen, canvas, WebGL, audio, and more'). This adds significant meaning beyond the bare schema.

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 with specific verbs ('collect browser environment fingerprint data', 'compare these with your Node.js/jsdom environment') and resources ('browser environment', 'fingerprint data'). It distinguishes from siblings by focusing on environment comparison rather than actions like navigation, debugging, or content retrieval.

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 states when to use this tool: 'to identify fingerprint differences that cause JSVMP validation failures.' It provides context for comparison with Node.js/jsdom environments and distinguishes it from other tools that handle different tasks like debugging or content extraction.

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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