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by io.github.onrampbtc
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get_x402_services

Daily snapshot of the x402 agent-payments ecosystem: how many x402-payable services the Coinbase Bazaar lists, by network, asset and scheme, plus the x402 Foundation's 30-day transaction, volume, buyer and seller counts. Use for 'what is x402', 'how many services accept x402', or 'which networks do x402 services use'.

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": "get_x402_services"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the freshness/cadence ('daily snapshot') and the data provenance ('Coinbase Bazaar', 'x402 Foundation'), but says nothing about auth requirements, rate limits, or whether results are cached/live. Adequate but with clear gaps for a zero-annotation tool.

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?

Two sentences with zero waste: the first front-loads what the snapshot contains, the second lists the query patterns that should trigger it. Every clause earns its place.

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?

With no output schema, the description does the work of explaining return content by naming the count categories and windows. It could be slightly more specific about the response shape or grouping, but for a parameterless read tool it is largely complete.

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 per the rubric the baseline is 4. There is nothing schema-side to clarify and no ambiguity for the agent to resolve before calling.

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?

States a specific resource (the x402 agent-payments ecosystem snapshot) and enumerates exactly what it reports: service counts by network/asset/scheme plus 30-day transaction, volume, buyer and seller counts. This is clearly distinct from the custody, stablecoin and tokenized-asset siblings, so an agent can pick it out without opening the schema.

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?

Gives explicit trigger queries ('what is x402', 'how many services accept x402', 'which networks do x402 services use'), which tells the agent when to reach for it. It stops short of naming exclusions or pointing to a sibling for related questions, so it is strong but not fully routing-aware.

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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