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solve_captcha

When a page displays a CAPTCHA, perform CDP-based browser interactions to attempt resolving challenges like Cloudflare Turnstile, reCAPTCHA, or FriendlyCaptcha.

Instructions

Attempt a SeleniumBase CDP-based CAPTCHA interaction.

This tool attempts to interact with CAPTCHA controls such as Cloudflare Turnstile, reCAPTCHA, or FriendlyCaptcha using browser/CDP interaction.

The tool does not guarantee that a CAPTCHA was solved. Some CAPTCHA controls are embedded inside shadow DOM or otherwise do not expose an easy success signal. A successful attempt may result in changes to page state or browser cookies.

Tool workflow: 1. Inspect the page with get_content when you need to determine whether CAPTCHA-related controls are present. 2. Call solve_captcha to attempt the interaction. 3. Use get_page_info, get_content, check_condition, or manage_cookies to inspect resulting page/session state.

Returns: A message confirming that the CAPTCHA interaction was attempted, not a guarantee that the CAPTCHA challenge was solved.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A4.5/5.0
Behavior5/5

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

No annotations are provided, so the description fully carries the burden of behavioral disclosure. It clearly states the tool does not guarantee a solved CAPTCHA, that controls may be shadow-DOM embedded, and that successful attempts may change page state or cookies. It also clarifies what the return message does and does not mean.

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 longer than a simple one-liner, but the extra length is justified by the tool's non-deterministic behavior and the need to set expectations. The main purpose is stated first, followed by a clear workflow and return semantics, with no filler.

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 zero-parameter tool with an output schema, the description is nearly complete. It explains what the tool attempts, its limitations, side effects, and the recommended surrounding workflow. Minor missing details like timeout or wait behavior are not critical for invoking it correctly.

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?

The tool has zero parameters, so the baseline is 4 and there is no parameter ambiguity. The description correctly focuses on behavior and workflow instead, which adds value beyond the empty 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 states a specific verb and resource: it 'attempts to interact with CAPTCHA controls' via SeleniumBase CDP interaction. It names concrete CAPTCHA types, making the tool's scope clear and distinguishing it from page-inspection and navigation siblings.

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 provides an explicit workflow: inspect with get_content first, call solve_captcha, then verify state with get_page_info or check_condition. It does not explicitly state when not to use the tool, but the workflow and limitations imply the intended usage context.

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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