AI infrastructure claim verification & CAPTCHA solving via x402 pay-per-query
Scored across 2 tools
The two tools have completely distinct purposes: solve_captcha handles CAPTCHA challenges while verify_ai_claim verifies AI claims via payment. There is no overlap or chance of confusing one for the other.
Both tool names follow a consistent verb_noun pattern with snake_case (solve_captcha, verify_ai_claim). The naming is predictable and uniform.
With only 2 tools, the server feels thin and borderline undersized for a typical MCP server. While each tool earns its place, the low count makes the set seem minimal.
The server name 'Verify-api' suggests a broader verification domain, but the surface only offers two unrelated operations. There are no obvious dead ends, but the coverage is narrow and lacks a cohesive lifecycle.
Solve CAPTCHA challenge (Turnstile, hCaptcha, reCAPTCHA v2, Arkose, Cloudflare).
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| type | Yes | ||
| sitekey | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden, but it only lists supported CAPTCHA providers. It does not disclose whether solving is synchronous, whether external calls are made, what output shape is returned, or what failure/safety behavior to expect.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single front-loaded sentence with no filler; the listed provider names add concrete information rather than wordiness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 3-parameter tool with no output schema and no annotations, the description is too thin: an agent does not know which string to pass for type, how to format sitekey/url, or what the response will contain. The provider list is useful but the tool is not self-sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description must explain the three required parameters, but it only enumerates CAPTCHA types and never mentions sitekey or url semantics. The parenthetical gives some idea of possible values for type, but that is not enough to compensate for the uncovered schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The verb 'Solve' plus the resource 'CAPTCHA challenge' make the core action clear, and the parenthetical enumerates supported providers (Turnstile, hCaptcha, reCAPTCHA v2, Arkose, Cloudflare). It is clearly not the sibling verify_ai_claim, though the description does not explicitly call out that distinction.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to prefer this tool over verify_ai_claim or when not to use it. Usage must be inferred from the tool name and the single supporting verb.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Verify an AI model claim or infrastructure assertion via x402 payment.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden of behavioral disclosure. It does reveal that payment via x402 is involved, which is an important side-effect, but it omits cost expectations, reversibility, failure behavior, and what the verification call actually returns.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no filler, and the core action and payment mechanism are front-loaded. It is concise, though the brevity contributes to the lack of detail elsewhere.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, no annotations, and an undocumented parameter, the description is not complete enough for an agent to invoke the tool correctly. It lacks guidance on query content, response shape, and the practical implications of the x402 payment step.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The only parameter, query, has no schema description (0% coverage), and the tool description does not compensate by explaining what should go in the query, what format it should take, or what constitutes a valid claim/assertion. The phrase 'Verify an AI model claim' is too indirect to provide real parameter semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names an action ('Verify') and a broad resource ('AI model claim or infrastructure assertion') and notes the payment mechanism, which separates it from solve_captcha. However, the resource is vague—what counts as an 'infrastructure assertion' and what verification output is expected are not defined.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no explicit guidance on when to use this tool versus alternatives, and it does not mention solve_captcha at all. 'Via x402 payment' hints at a paid context, but there are no prerequisites, exclusions, or decision rules.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
solve_captchaverify_ai_claim
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