Money Maker x402 tools: EVM reads + AI tasks

by dev.workers.moneymaker-ai.ai-policy-kit

USDC payment check on Base

usdc_payment

Read-onlyIdempotent

Did this transaction pay USDC on Base to an address? Returns success, confirmations, every USDC transfer in the tx, the total received by to, and whether it meets min. Price: $0.002 USDC on Base per call, paid with x402 (MCP transport: an unpaid call returns the x402 PaymentRequired object; retry with params._meta["x402/payment"]). Same tool over HTTP: GET /api/usdc-payment.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "tx": "<tx>"
    },
    "name": "usdc_payment"
  }
}

Input Schema

Name	Required	Description
`to`	No	recipient address (optional)
`tx`	Yes	Base tx hash
`min`	No	minimum USDC (optional)

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 22, 2026

TDQS

A4.6/5.0

Behavior5/5

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

Annotations already cover safety (readOnly, idempotent, openWorld), and the description adds substantial non-structured behavior: the $0.002 price, that unpaid calls return an x402 PaymentRequired object, and the exact retry path via params._meta['x402/payment']. That x402 flow is critical and cannot be inferred from any structured field.

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 core question and outputs are front-loaded, then payment/logistics detail. It is dense with no filler, though the pricing and HTTP-endpoint sentence is a long parenthetical that competes with the primary purpose for attention.

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?

With no output schema, the description enumerates the return payload (success, confirmations, all USDC transfers, total to `to`, min check), which is exactly what an agent needs. Pricing and auth requirements are also covered, so nothing material is missing.

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%, so the baseline is 3; the description goes beyond it by clarifying the semantics of `to` ('total received by `to`') and `min` ('whether it meets `min`'), tying them to the returned boolean rather than just naming them.

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?

Opens with a specific yes/no question ('Did this transaction pay USDC on Base to an address?') naming the chain, asset, and target, then enumerates the exact outputs. An agent can distinguish this from tx_decode (generic decoding) or address_transfers (outbound history) without reading the schema.

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?

The framing as a verification question implies the use case (confirming payment) and the description covers the payment mechanics needed to actually invoke it. It does not explicitly state when to prefer tx_decode or address_transfers instead, so no exclusion guidance is present.

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

All Money Maker x402 tools: EVM reads + AI tasks tools Inspect

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