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Neuronto Payments: x402 facilitator and API gateway

buy_credits

How to buy Neuronto credits, the one prepaid balance for every paid Neuronto call (searches past the free allowance, multi-step discovery, the change feed, publisher monitoring, gateway fees): the packs, what each thing costs, and the x402 URL to pay.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. It hints at an informational return (packs, costs, URL) but never clarifies whether the tool actually executes a payment or is read-only, nor does it mention auth needs, cost implications, or side effects. For a tool whose name implies spending money, this ambiguity is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single sentence and front-loads the resource, which is good, but the long parenthetical enumerating every paid call type sprawls and dilutes the core message. It is reasonably compact but not tightly structured.

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?

For a 1-param tool with no output schema and no annotations, the description should resolve the core ambiguities: whether it buys or explains, and what the pack values select. It covers the conceptual return contents but leaves those critical gaps, so an agent cannot confidently invoke it.

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?

The single 'pack' parameter has an enum (1/5/20/50) but 0% schema description coverage, so the description must compensate. It only gestures at 'the packs, what each thing costs' without explaining what a pack is, what the values mean, or how the chosen pack affects the result.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (Neuronto credits) and enumerates what it returns (packs, costs, x402 URL), which is informative. But it reads as a documentation lookup ('How to buy... the x402 URL to pay') while the name 'buy_credits' implies an execution action, leaving it unclear whether the tool performs a purchase or explains one. That ambiguity prevents a clear verb+resource match.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus alternatives. Siblings like settlement_price, find_paid_resource, and facilitator_status all sit in the same payments domain, yet the description never distinguishes this tool from them or states a triggering condition.

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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