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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

NameRequiredDescriptionDefault
queryNoInput for the paid endpoint: https image URL.

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: https image URL."
  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

A4.5/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds valuable context beyond that: it returns a free sample plus a paid URL and pay steps with no charge on this call, and the full result costs $0.01 Base USDC via x402. It does not mention rate limits or the OCR engine's accuracy limits, but the payment and cost behavior is well disclosed.

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?

Three tight sentences with zero waste, front-loaded with the core action and scoping, followed by the usage routing and cost/payment detail. Every sentence earns its place.

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?

An output schema exists, so return values need not be explained. For a single-parameter, read-only tool whose annotations cover the safety profile, the description supplies the two things annotations cannot: the usage routing and the two-stage payment flow. Nothing an agent needs to invoke it correctly is missing.

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 the single 'query' parameter is documented as an https image URL in the schema itself. The description repeats that the input is an image URL but adds no syntax, format, or constraint detail beyond the schema. Baseline 3 is appropriate when the schema carries the parameter documentation.

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 with local Tesseract) and enumerates the outputs (text, word count, confidence). It distinguishes itself from the sibling url-extract by explicitly excluding web pages, so an agent can route correctly 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?

Provides both a when-to-use condition ('text from a screenshot or scanned image') and a when-not-to-use exclusion with the named alternative ('Not for web pages (use url-extract)'). 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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