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Signed Phantom Allowlist: Payable x402 Sellers

phantom-allowlist
Read-onlyIdempotent

Return an HMAC-signed allowlist of x402 sellers with probe evidence (402 seen, probe ok, last paid ok). Use when you want a signed list of already-vetted x402 sellers before spending. Not for checking one specific URL (use phantom-seller-scan) or raw unvetted discovery leads (use agent-lead-pack). Pick this when the question is 'whom can I safely pay?'. Returns a free sample plus the paid URL and pay steps (no charge here); the full result costs $0.03 Base USDC via x402.

Input Schema

NameRequiredDescriptionDefault
queryNoInput for the paid endpoint: optional max sellers (1-40).

Output Schema

NameRequiredDescriptionDefault
skuYes
noteNo
payToNo
priceNo
methodNo
networkNo
paid_urlYes
how_to_payYes
teaser_urlNo
your_inputNo
free_teaserNoFree sample output of this SKU (truncated); null if unavailable.
ready_requestNoExact paid HTTP request (method, url with your input, optional json_body) to send with an x402 client.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedOutput schema / properties / ready_request
      Added value: +{
      +  "description": "Exact paid HTTP request (method, url with your input, optional json_body) to send with an x402 client."
      +}
  2. Changed1 schema field changed
    • addedOutput schema / properties / free_teaser
      Added value: +{
      +  "description": "Free sample output of this SKU (truncated); null if unavailable."
      +}
  3. Changed1 schema field changed
    • changedInput schema / properties / query / description
      Previous value: -"Optional input (e.g. url / address / text) to pass to the paid endpoint as ?q= or JSON body."New value: +"Input for the paid endpoint: optional max sellers (1-40)."
  4. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "how_to_pay": {
      +      "type": "string"
      +    },
      +    "method": {
      +      "type": "string"
      +    },
      +    "network": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "note": {
      +      "type": "string"
      +    },
      +    "paid_url": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "payTo": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "price": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "sku": {
      +      "type": "string"
      +    },
      +    "teaser_url": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "your_input": {}
      +  },
      +  "required": [
      +    "sku",
      +    "paid_url",
      +    "how_to_pay"
      +  ],
      +  "type": "object"
      +}
  5. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world. The description adds real behavioral context beyond that: a free sample plus the paid URL and pay steps with no charge here, and the full result costs $0.03 Base USDC via x402. It slightly undersells what the paid purchase actually yields, so not quite a 5.

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-loaded with the core purpose, then routing, then the payment model. Every sentence carries information, though the rhetorical 'Pick this when the question is...' line is slightly promotional rather than purely functional.

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 needn't be restated, and the description supplies purpose, alternatives, and the free-vs-paid cost model. A brief note on what the signed allowlist actually enables after purchase would make it fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and there is only one optional parameter (max sellers, 1-40), already documented in the schema. The description adds no parameter syntax or format beyond that, so the baseline 3 applies.

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 verb and resource — 'Return an HMAC-signed allowlist of x402 sellers with probe evidence' — including the concrete evidence fields (402 seen, probe ok, last paid ok). It also names the sibling tools it is not, so an agent can distinguish it from phantom-seller-scan and agent-lead-pack without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit when-to-use ('before spending', 'whom can I safely pay?'), explicit when-not (one specific URL -> phantom-seller-scan; raw unvetted leads -> agent-lead-pack), and names each alternative with its selecting condition. Nothing 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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