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RobithYusuf

MCP Camoufox

by RobithYusuf

click_turnstile

Solve Cloudflare Turnstile checkboxes by locating the widget, performing human-like mouse clicks, verifying the response token, and retrying with small nudges when needed.

Instructions

Auto-solve Cloudflare Interactive Turnstile checkbox. Locates the widget via in-page selectors AND the Playwright frame API (handles closed shadow roots that document.querySelector misses), polls for render, skips if already solved, then does a humanized real-mouse click with retries + small nudge, verifying the cf-turnstile-response token after each attempt. Managed Challenge full-page interstitials still need mcp-stealth-chrome.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
offset_xNoPixels from widget left edge to the checkbox (calibrated for CF checkbox)
offset_yNoVertical offset from widget top (default = height/2)
max_attemptsNoMax click attempts (small vertical nudge between tries) until token appears
wait_render_msNoWait before first detection to let widget render
Install Server

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden, and it is exceptionally detailed: it discloses shadow-root handling via the frame API, render polling, skip-if-solved behavior, humanized real-mouse clicking with retries and nudges, and per-attempt token verification. This gives an agent a realistic model of what the tool does.

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?

Three sentences, front-loaded with the core purpose, followed by mechanism and a final limitation note. Every sentence earns its place and the structure is easy to parse.

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?

For a complex anti-bot interaction with no annotations or output schema, the description covers behavior, retries, verification, and limitations well. It is only slightly incomplete in not specifying the explicit return or failure behavior when max_attempts is exhausted or the widget is never found.

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 all 4 optional parameters. The description adds some conceptual color, such as polling for render and retrying with a nudge, but it does not add material detail beyond what the parameter descriptions already provide.

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 first sentence states a specific verb+resource: 'Auto-solve Cloudflare Interactive Turnstile checkbox.' The rest of the description explains the exact mechanism, and the Cloudflare Turnstile focus clearly differentiates it from generic sibling tools like click, click_text, and humanize_click.

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?

Explicitly gives a usage boundary: 'Managed Challenge full-page interstitials still need mcp-stealth-chrome,' telling agents when this tool is not sufficient and naming the alternative. It also notes the tool skips if already solved, which helps an agent decide when to call it.

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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