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x402_feed

Live x402 ecosystem intelligence feed in one zero-parameter call: top verified stable sellers from 17,000+ tracked endpoints, flagged bait-and-switch origins (wallet or price swaps), recent change alerts, and current Base gas. Price: 0.010 USDC per call over x402 on Base or Solana.

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": "x402_feed"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoExample: 15

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose the most consequential trait: this call costs 0.010 USDC over x402 on Base or Solana, i.e. it spends funds and requires an x402-capable client. It also scopes the data source (17,000+ tracked endpoints) and the anomaly detection (wallet or price swaps). Gaps remain: no mention of refresh cadence, response shape, or whether the paid call fails silently without a funded client.

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?

Two short sentences: the value proposition first, the price last. The enumeration is dense but each item is a distinct data category an agent needs. Minor waste in marketing-ish framing ("live ... intelligence", "17,000+ tracked endpoints").

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?

For a low-complexity, single-optional-parameter feed with no output schema, the description covers what comes back (four data categories), the cost and payment rails, and the data source. The absence of an output schema means return structure is only loosely sketched, and the limit parameter conflict is unresolved, but an agent can call it correctly.

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?

Schema coverage is nominal at 100%, but the lone parameter's schema description is only "Example: 15" for a string-typed limit, which conveys almost nothing. Worse, the description asserts a "zero-parameter call" while the schema exposes an optional limit, actively misleading an agent about whether it can cap result size. The description neither corrects this nor explains what limit controls.

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 names a specific resource (x402 ecosystem intelligence feed) and enumerates its contents concretely: top verified stable sellers, flagged bait-and-switch origins, recent change alerts, and Base gas. That is far more specific than a restated name. It does not, however, contrast itself with the sibling x402_seller or evm_gas, so an agent must infer the split between the aggregate feed and the per-seller/per-chain tools.

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?

Phrasing like "in one zero-parameter call" and "live ... feed" implies this is the one-shot overview tool, which is usable guidance. But there is no explicit when-to-use versus when-not, and no sibling is named as an alternative (x402_seller for a single endpoint, evm_gas for gas alone), so routing is left to inference.

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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