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GPU Cloud Prices (AWS, Azure, OCI)

verify_value

Verify a claimed value against a live URL: the server fetches the URL itself (SSRF-guarded, robots.txt respected, headless Chrome fallback), extracts the value at a JSON path ($.data.price), CSS selector or /regex/, and returns extracted_value, match (numeric with optional tolerance; strings trimmed), diff, http_status, content_type, fetched_at and source_sha256. Paid: tools/call requires x402 payment of $0.005 USDC on Base (eip155:8453) — unpaid calls return HTTP 402 with PAYMENT-REQUIRED; retry with PAYMENT-SIGNATURE. Not charged on bad input, blocked URL, path not found or upstream failure. Same as POST /v1/verify.

Input Schema

NameRequiredDescriptionDefault
urlYesPublic http(s) URL (ports 80/443; private/loopback/link-local addresses and redirects to them are rejected)
modeNoauto
pathYesJSON path ($.data.amount, data.items[0].usd, $['key'][-1]); for HTML a CSS selector (optional 'css:' prefix, '@attr' suffix for an attribute) or a regex '/pattern/flags' (first capture group, else whole match)
renderNoauto: headless Chrome only if the selector/regex is not found in static HTMLauto
claimedYesThe value you claim is at that path
toleranceNoAbsolute numeric tolerance; |extracted - claimed| <= tolerance counts as a match

Output Schema

NameRequiredDescriptionDefault
okYes
urlNo
diffNo
noteNo
matchNo
claimedNo
fetched_atNo
request_idNo
http_statusNo
content_typeNo
source_sha256No
extracted_valueNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior5/5

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

No annotations are provided, so the description carries the full burden and does so well: SSRF guarding, robots.txt honoring, headless Chrome fallback, paid x402 flow with 402/PAYMENT-SIGNATURE retry, and the exact conditions under which no charge occurs after an upstream failure.

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?

Front-loads the purpose before mechanics and payment, and every clause is informative. It is dense and long, with the enumerated return fields arguably duplicating the output schema, but nothing is padding.

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

Completeness5/5

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

For a paid, no-annotation tool with six parameters and an output schema, the description covers purpose, security posture, extraction behavior, billing semantics and error non-charge cases. An agent has everything needed to call it and handle the 402 response.

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 83%, so the schema already documents url, path, render and tolerance. The description adds only modest extra semantics such as numeric tolerance matching and string trimming, plus an implicit mapping of mode to extraction type, which is near the baseline for high-coverage schemas.

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?

States a precise verb+resource: server-side fetch of a live URL and comparison of an extracted value against a claim, with the extraction mechanisms named. An agent can distinguish this from read_url (raw fetch) or x402_conformance without inspecting schemas.

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 by the name and description (verify a claim about a live page), and the payment retry flow is spelled out, but there is no explicit when-to-use-this-vs-sibling guidance, e.g. why verify_value rather than read_url plus local comparison.

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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