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browser_solve_captcha

Automatically detect and solve CAPTCHAs, using auto-click, AI vision analysis, or asking the user when needed.

Instructions

Detect and solve CAPTCHAs on the current page. Auto-detects reCAPTCHA v2/v3, hCaptcha, Cloudflare Turnstile, and FunCaptcha. Tries auto-click first (often clears reCAPTCHA v2 when signed into Google), then returns a screenshot for AI vision analysis, then falls back to asking the user. Returns detection info and solving status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cellsNoGrid cell indices to click (0-indexed, left-to-right, top-to-bottom) for image challenges. E.g. [2, 5, 7] to click cells 3, 6, 8.
actionNoAction to take. "detect" scans for CAPTCHAs. "click_checkbox" clicks the reCAPTCHA checkbox. "click_grid" clicks specific grid cells (pass cells param). "ask_human" shows overlay to user. Default: "detect"
Behavior4/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It details the solving strategy: auto-click first, AI vision analysis, then user fallback, and mentions returning detection info and solving status. This sufficiently informs the agent of expected behavior.

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 three sentences, front-loaded with purpose, and contains no extraneous information. It efficiently covers purpose, process, and return value.

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?

Despite lacking an output schema, the description states it 'returns detection info and solving status,' which is sufficient for a high-level understanding. However, details about the structure of the return value are omitted, leaving minor ambiguity for agents that need exact formatting.

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 baseline is 3. The description does not add additional meaning beyond the schema's parameter descriptions (cells and action enum). It does not elaborate on formatting or constraints.

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 'Detect and solve CAPTCHAs on the current page' and lists specific CAPTCHA types (reCAPTCHA v2/v3, hCaptcha, etc.). It distinguishes itself from sibling browser tools by focusing solely on CAPTCHA handling.

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 implies usage when a CAPTCHA is encountered on the page. It does not explicitly exclude scenarios or mention alternative sibling tools, but the specialization makes the context 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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