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usernamexiaozhang

camoufox-versatile-mcp

detect_captcha

Probes if a Cloudflare captcha challenge is present, returning detection flags to decide whether to call auto_solve_captcha.

Instructions

Detect whether a captcha challenge is currently shown.

Lightweight probe: returns detection flags without attempting to solve anything. Useful when you want to decide whether to call auto_solve_captcha.

Args: captcha_type: Captcha provider to probe, e.g. "cloudflare".

Returns: dict with provider-specific detection flags and the current URL. For "cloudflare" today: {turnstile: bool, interstitial: bool}. Other providers will report under their own keys.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
captcha_typeNocloudflare
Behavior4/5

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

Describes behavior as non-destructive probe, return format, and provider-specific flags. No annotations, so description carries full burden, which it does well.

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?

Very concise: two paragraphs with clear Args/Returns sections. No superfluous content.

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?

Adequate for single-parameter tool with no output schema. Links to sibling tool and explains return structure. Could add more on error conditions, but overall sufficient.

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?

Schema coverage is 0%, but description adds meaning by explaining captcha_type parameter with example and purpose, compensating for lack of schema descriptions.

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 detects captcha presence without solving, and distinguishes it from auto_solve_captcha by specifying it's a lightweight probe.

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?

Explicitly mentions usefulness as a decision step before calling auto_solve_captcha. Could add when not to use, but guidance is clear.

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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