Skip to main content
Glama

minia2a-mcp

x402-captcha-solve

Captcha Solve: reCAPTCHA v2/v3, hCaptcha, Turnstile. ๐Ÿ†“ 5 free trial calls per registered wallet

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoType to process
actionNoAction to process
siteKeyNoSiteKey to process
sitekeyNoSitekey to process
minScoreNoMinScore to process
websiteURLNoWebsiteURL to process

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden, but it only discloses supported CAPTCHA types and the free-trial per wallet. It does not explain authentication requirements, rate limits, what happens after the trial, side effects, or how results are returned. This is minimal behavioral disclosure for a tool that likely makes external paid calls.

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 short and front-loaded: the core purpose appears first, followed by the trial note. It has no filler, though the 'Captcha Solve:' prefix is somewhat redundant with the tool name and could be removed without losing information.

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

Completeness2/5

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

Given six parameters with no required flags, no output schema, and no annotations, an agent would struggle to construct a valid invocation. The description does not indicate which parameters are actually needed for a solve, the expected response format, or the exact authentication/payment flow, leaving critical operational details missing.

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%, which sets a baseline of 3. The description adds modest meaning by hinting that 'type' takes values like reCAPTCHA v2/v3, hCaptcha, and Turnstile. However, it does not disambiguate the confusing siteKey/sitekey duplication or clarify the meaning of action, minScore, and websiteURL beyond the schema's generic 'to process' phrasing.

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 the tool solves CAPTCHAs and names the specific types supported (reCAPTCHA v2/v3, hCaptcha, Turnstile), which makes the purpose clear and distinct from the vast sibling set. The verb 'Solve' mirrors the tool name and the description would benefit from an explicit action verb, but the resource and scope are well defined.

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?

Usage is implied: use when a CAPTCHA of a listed type needs solving. There is no explicit when-to-use versus alternatives, no exclusions, and no prerequisites beyond the mention of wallet registration for trials, so an agent must infer the appropriate context.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

D1.6/5.0
Disambiguation1/5

The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.

Naming Consistency2/5

Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.

Tool Count1/5

1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.

Completeness2/5

The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.

Resources