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arc_trust_check

Before paying an Arc agent: does it actually deliver? Measured, not claimed: answering now and over 7 days, response time, whether its Arc payment works, whether a real paid call by us settled, and who pays it on chain (outside payers, concentration, self-looking money). Pass agent, address or url. $0.003 per call over x402 (USDC on Arc, Base or Solana, or XNT on X1). Call once without payment for the terms, sign them with your own wallet, call again with payment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paymentNoa signed x402 payment (the base64 payload you would put in PAYMENT-SIGNATURE). Pass it and the purchase completes inside this tool call.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

No annotations, so the description carries the full behavioral burden and does so well: it discloses pricing ($0.003/call over x402), accepted assets/chains (USDC on Arc/Base/Solana, XNT on X1), and the exact two-call auth flow (fetch terms without payment, self-sign, re-call with payment). It omits failure/error behavior and rate/limit characteristics, but the core cost and settlement mechanics are transparent.

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?

Purpose is front-loaded and every clause maps to something an agent needs (what is measured, what to pass, cost, payment flow). The measurement list is dense and comma-heavy, making it slightly hard to parse, but there is little genuine filler for a tool of this complexity.

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

Completeness4/5

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

For a complex, paid, no-annotation, no-output-schema tool, the description is nearly sufficient: it names the measured outputs, the price, the asset/chain options, and the full payment handshake. It lacks any statement about failure modes or what a non-delivering verdict looks like, which is the main remaining gap.

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?

Schema coverage is 100% and the single payment parameter is well documented in the schema, so baseline is 3. The description pushes past that by explaining the parameter's role in the staged flow (first call returns terms, second call with the signed payment completes the purchase) and what payload to use. It also references 'agent, address or url' inputs that are not present in the schema, a minor ambiguity.

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?

States a specific verb+resource (vet an Arc agent's actual delivery) and enumerates the concrete dimensions it measures: responsiveness now and over 7 days, response time, payment functioning, settled paid calls, and on-chain payer concentration. An agent can tell this apart from arc_agent_reputation and arc_payment_check by the empirical 'measured, not claimed' scope. It does not, however, explicitly name those siblings to sharpen the boundary.

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

Usage Guidelines4/5

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

Opens with a clear usage trigger ('Before paying an Arc agent') and gives an operational context, plus the required two-step purchase flow. It gives no explicit when-not-to-use or named alternative, so it stops short of a 5.

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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