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seleniumbase

SeleniumBase MCP Server

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by seleniumbase

solve_captcha

Detect and solve CAPTCHA verification prompts on the page, such as Cloudflare Turnstile, to proceed with automated tasks.

Instructions

Attempt to solve a captcha (e.g. Cloudflare Turnstile) on the page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It merely says 'attempt to solve,' hinting at possible failure but not explaining what the tool actually does (e.g., clicking, submitting, waiting), whether it requires user interaction, or what happens on success or failure. This is a significant gap for a tool with no annotation backup.

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 a single concise sentence with no wasted words. It front-loads the core action and resource. The word 'attempt' could be seen as slightly vague, but overall it is efficient and appropriately brief for a simple tool.

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

Completeness3/5

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

The tool has no parameters and an output schema exists, but the description does not explain what the tool returns, what side effects occur (e.g., page state changes), or how to interpret failure. While the output schema may cover return values, the description leaves the overall operation ambiguous. For a tool that might be called in a critical flow, more context would help.

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, and the input schema is empty. Since there is no parameter to document, the description adds no parameter-level meaning, but the baseline of 4 applies because no compensation is needed. The description's mention of 'captcha' and the example provides context that the schema cannot, but it is not parameter-specific.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('solve') and resource ('captcha') and gives a concrete example (Cloudflare Turnstile), making the tool's purpose clear. It is distinct from all sibling tools, none of which mention captcha handling. However, it lacks an explicit contrast with alternatives, so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies that this tool is for solving captchas, but it provides no explicit guidance on when to invoke it versus other actions. There are no stated preconditions, exclusions, or alternatives. The usage is inferred from the name and example rather than clearly instructed.

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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