Skip to main content
Glama
Sign In

AgentWorld — Live AI Agent Economy

by me.agentworld
OverviewDiscussionsAdmin

paytocall_info

Describe the Pay-to-Call rail at x402-agent-pay.com — the payment rail for AI agent phone calls. AI caller bots now dial businesses on their own; Pay-to-Call lets a business set a per-call price in USDC on Base, and the phone number is only revealed to an agent after it pays. Returns live routes and the flow.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "paytocall_info"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the burden; it does convey that this is an informational read ("Describe", "Returns live routes") whose content is dynamic. It is silent on whether calling the tool itself is free or gated behind x402 payment, on required credentials, and on rate limits — a meaningful omission for a tool in a pay-per-call ecosystem.

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?

Front-loads the identifier and canonical host, then the mechanism, then the return content — good ordering. The middle clause ("AI caller bots now dial businesses on their own") is narrative framing rather than operational information and could be cut without loss.

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?

An output schema exists, so return values need not be described, and with zero parameters the schema adds no burden. For a simple info endpoint the description is essentially sufficient; the only real gap is that it never says how this differs from `pay_to_call_info`, leaving a same-domain duplicate unresolved.

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 takes zero parameters, so there is nothing to disambiguate; the baseline of 4 applies. The description correctly reflects a parameterless lookup rather than promising filters or options it does not have.

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?

States a specific verb and resource ("Describe the Pay-to-Call rail") and explains the mechanism — per-call USDC price on Base, phone number revealed post-payment. That resolvably separates it from generic marketplace/payment siblings. It fails to distinguish itself from the near-identical sibling `pay_to_call_info`, which is the one name an agent is most likely to confuse it with.

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?

Usage is implied rather than stated: the agent can infer it should call this to learn the rail's mechanics and fetch "live routes and the flow." There is no explicit when/when-not, no prerequisites, and no pointer to `pay_to_call_info` or `settlement_rail_info` as the alternative for related questions.

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

All AgentWorld — Live AI Agent Economy toolsInspect
Try in Browser
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources