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MaxMind minFraud MCP by usefulapi

minFraud Insights (detailed risk)

minfraud_insights
Read-only

Score a transaction AND get detailed risk insights: IP geolocation, email/address/device attributes, and per-component risk on top of the risk_score. Same request body as minfraud_score. API: POST /minfraud/v2.0/insights.

Input Schema

NameRequiredDescriptionDefault
emailNo
eventNo
orderNo
deviceNoInfo about the device/connection. device.ip_address is the most important input.
accountNo
billingNo
paymentNo
shippingNo
credit_cardNo
custom_inputsNoCustom inputs configured in your minFraud account.
shopping_cartNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / properties / custom_inputs / additionalProperties / anyOf
      Removed value: -[
      -  {
      -    "type": "string"
      -  },
      -  {
      -    "type": "number"
      -  },
      -  {
      -    "type": "boolean"
      -  }
      -]
    • addedInput schema / properties / custom_inputs / additionalProperties / type
      Added value: +[
      +  "string",
      +  "number",
      +  "boolean"
      +]
  2. First observed

TDQS

B3.1/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a non-mutating read call, and the description usefully discloses the API endpoint and that the payload matches minfraud_score. However, it omits operational context such as auth requirements, rate limits, or latency/cost implications of the richer response. Adds some value but not rich context.

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?

Two sentences, front-loaded with the primary action and then the differentiators, ending with the concrete endpoint. No filler; it could pack slightly more guidance into the same space but wastes nothing.

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?

With 11 nested parameters at 18% schema coverage and no output schema, this complex tool needs more descriptive support than it provides. The pointer to minfraud_score's request body helps, but the agent still lacks guidance on component structure, which fields matter most, and what the detailed insights response contains.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 18% across 11 nested parameters, so the description is expected to compensate, yet it offers no parameter-level meaning beyond "same request body as minfraud_score." Key fields like device.ip_address and required-vs-optional composition are left to the schema, which documents only a fraction.

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 gives a clear verb+resource ("Score a transaction") and enumerates what extra it returns over minfraud_score: IP geolocation, email/address/device attributes, and per-component risk. It differentiates itself from the sibling minfraud_score via "Same request body as minfraud_score" plus the added insights, though it draws no line against minfraud_factors.

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?

It signals that this is the richer variant of minfraud_score, implying you select it when you need detail beyond the score, but it never states explicit when-to-use/when-not conditions nor routes the agent to minfraud_factors or the reporting sibling. Usage is implied rather than stated.

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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