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Zzero-net

Zero Network MCP Server

by Zzero-net

zero_mcp_payments

Implement payment integration for AI agents using MCP servers. Learn to charge per tool call, set up payment flows, and configure spending limits for crypto-based transactions.

Instructions

Get MCP server payment integration guide — how to charge AI agents per tool call, payment flow, spending limits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The tool handler for "zero_mcp_payments", which returns the content of the MCP_PAYMENT_INTEGRATION guide.
    def zero_mcp_payments() -> str:
        """Get MCP server payment integration guide — how to charge AI agents per tool call, payment flow, spending limits."""
        return MCP_PAYMENT_INTEGRATION
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It describes what the tool provides (a guide on payment integration), but does not disclose traits like whether it's a read-only operation, potential rate limits, authentication needs, or response format. The description adds basic context but lacks detailed behavioral information.

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

Conciseness5/5

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

The description is a single, efficient sentence that front-loads the key purpose ('Get MCP server payment integration guide') and elaborates with specific details ('how to charge AI agents per tool call, payment flow, spending limits'). Every phrase adds value without redundancy or waste.

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?

Given the tool's complexity (informational guide with no parameters) and the presence of an output schema (which likely covers return values), the description is reasonably complete. It specifies the guide's content scope, but could be more detailed about behavioral aspects like response format or usage prerequisites, though the output schema may compensate for this.

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?

The tool has 0 parameters with 100% schema description coverage, so the schema fully documents the lack of inputs. The description does not need to add parameter semantics, and it appropriately avoids discussing parameters. A baseline of 4 is applied since no parameters exist, and the description does not contradict this.

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?

The description clearly states the tool's purpose with specific verbs ('Get', 'charge') and resources ('MCP server payment integration guide', 'AI agents', 'tool call', 'payment flow', 'spending limits'). It distinguishes itself from siblings like zero_pricing_calculator or zero_overview by focusing on integration guidance rather than pricing calculations or general overviews.

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 description implies usage context for implementing payment systems in MCP servers, but does not explicitly state when to use this tool versus alternatives like zero_pricing_calculator for cost estimates or zero_implementation_guide for general implementation. It provides clear context but lacks explicit exclusions or named alternatives.

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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