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tdnupe3

Coin Railz MCP Server

by tdnupe3

ping_coinrailz

Test connectivity to Coin Railz payment infrastructure to verify platform status, version, and available services count.

Instructions

Test connectivity to Coin Railz x402 payment infrastructure.

Args: message: Optional message to include in ping

Returns: Platform status, version, and available services count.

Price: $0.25

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNoHello from Claude

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The ping_coinrailz tool handler, which verifies connection by calling the 'ping' service via the call_coinrailz_service helper.
    @mcp.tool()
    async def ping_coinrailz(message: str = "Hello from Claude") -> str:
        """
        Test connectivity to Coin Railz x402 payment infrastructure.
        
        Args:
            message: Optional message to include in ping
        
        Returns:
            Platform status, version, and available services count.
        
        Price: $0.25
        """
        result = await call_coinrailz_service("ping", {"message": message})
        return json.dumps(result, indent=2)
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses the tool's behavior: testing connectivity, returning platform status/version/services count, and mentions a price ('Price: $0.25'), which is valuable context about cost implications. However, it doesn't cover other behavioral aspects like rate limits, authentication requirements, error conditions, or whether it's read-only/destructive. The price disclosure adds some value beyond basic functionality.

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 efficiently structured with clear sections: purpose statement, Args, Returns, and Price. Each sentence earns its place by providing essential information without redundancy. The front-loaded purpose statement immediately conveys the tool's function, followed by organized details.

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 low complexity (1 optional parameter) and the presence of an output schema (which handles return values), the description is reasonably complete. It covers purpose, parameter meaning, return overview, and cost. However, without annotations, it could benefit from more behavioral context (e.g., idempotency, side effects) to fully guide the agent, though the output schema mitigates some gaps.

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 description coverage is 0%, so the description must compensate. It provides the parameter 'message' with semantics: 'Optional message to include in ping' and includes a default in the schema. This adds meaningful context beyond the schema's type/format. With only one parameter well-explained, it adequately compensates for the schema's lack of descriptions.

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 clearly states the tool's purpose: 'Test connectivity to Coin Railz x402 payment infrastructure.' It specifies the verb ('Test connectivity') and target resource ('Coin Railz x402 payment infrastructure'), making it distinct from sibling tools that focus on analysis, transactions, or data retrieval rather than connectivity testing. However, it doesn't explicitly differentiate from potential similar connectivity tools (none are present in siblings).

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or exclusions. While the purpose is clear, the lack of usage context leaves the agent without direction on when this connectivity test is needed versus other operations in the payment infrastructure ecosystem.

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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