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geld machen x402 agent utilities

Image OCR: Extract Text from Image URL

image-ocr
Read-onlyIdempotent

OCR an image URL with local Tesseract: text, word count, confidence. Use when you need text from a screenshot or scanned image. Not for web pages (use url-extract). Returns a free sample plus the paid URL and pay steps (no charge here); the full result costs $0.01 Base USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoInput for the paid endpoint: https image URL.

Output Schema

TableJSON 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.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedOutput schema / properties / free_teaser
      Added value: +{
      +  "description": "Free sample output of this SKU (truncated); null if unavailable."
      +}
  2. 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: https image URL."
  3. 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"
      +}
  4. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), but the description adds genuinely novel behavior: local Tesseract execution, a free-sample-plus-paid-URL response shape, 'no charge here', and the $0.01 Base USDC x402 cost to unlock the full result. This two-tier payment mechanic is exactly what annotations cannot convey. It stops short of noting rate limits or failure modes, hence not 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?

Three dense sentences, front-loaded with the core action and output before routing and pricing details. Every clause earns its place, though the payment mechanics make the tail slightly crowded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present the description needn't enumerate return fields, and it still flags the sample/paid response shape and pricing. Combined with full annotation and schema coverage, an agent has everything needed to call it correctly.

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% for the single 'query' parameter, so the schema already carries the semantics. The description restates 'image URL' but adds no format, size, or encoding guidance beyond the schema, 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+resource ('OCR an image URL') and enumerates outputs ('text, word count, confidence'). It also names the sibling it is not for ('Not for web pages (use url-extract)'), so an agent can distinguish it without opening schemas.

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 ('text from a screenshot or scanned image') and when-not ('Not for web pages') paired with the concrete alternative (url-extract). Nothing is left to inference about routing.

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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