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thunder_challenge

Detects and counters CAPTCHA or challenge interstitials on the current page without keys, helping AI agents resume browsing when verification blocks access.

Instructions

Detect and counter any CAPTCHA/challenge on the current page (Turnstile/reCAPTCHA/hCaptcha/Amazon/CF interstitial) — keyless.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.6.1

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It usefully notes that the tool is "keyless" and lists supported challenge types, but it does not explain whether it solves or merely counters challenges, whether it blocks, what permissions or side effects are involved, or what the agent should expect after invocation.

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 a single front-loaded sentence with no wasted language. It gives the main action, scope, supported challenge types, and keyless constraint efficiently.

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?

For a zero-parameter tool with no annotations and no output schema, the description covers the essential scope and challenge types but leaves important behavioral details unclear. An agent still does not know what "counter" entails, whether the operation is automatic, or what result to expect, making the definition only minimally complete for this kind of browser challenge handler.

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 takes zero parameters, so there are no parameter semantics to explain. The description does not need to compensate for undocumented inputs, and the baseline for a no-parameter tool is appropriate here.

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 action ("Detect and counter") and resource ("CAPTCHA/challenge on the current page"), and it enumerates concrete challenge types such as Turnstile, reCAPTCHA, hCaptcha, Amazon, and CF interstitial. It is clear what the tool does, but it does not differentiate itself from the sibling tool thunder_captcha, so an agent cannot tell from the description alone when this tool is preferable to that sibling.

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 the tool should be used when a CAPTCHA or challenge is present on the current page, which gives the agent a basic usage condition. However, it provides no explicit when-not guidance, no prerequisites, and no comparison to alternatives such as thunder_captcha, leaving the agent to infer the correct context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.