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URL Extract: Live Title/Meta/Text/Links

url-extract
Read-onlyIdempotent

Extract title, meta description, ~3k chars plain text and outbound links from a URL (local fetch). Use when you need readable page text cheaply. Not for clean markdown of JS-heavy pages (use web-extract). Returns a free sample plus the paid URL and pay steps (no charge here); the full result costs $0.02 Base USDC via x402.

Input Schema

NameRequiredDescriptionDefault
queryNoInput for the paid endpoint: https 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 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

A4.6/5.0
Behavior5/5

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

Beyond the annotations (readOnly/idempotent/non-destructive), it discloses that fetching is local, that this call returns a free sample plus the paid URL and pay steps with no charge, and that the full result costs $0.02 Base USDC via x402. This payment/cost model is substantial behavioral context an agent cannot get from annotations.

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?

Purpose is front-loaded, followed by usage, exclusion, then payment model, with no filler sentences. The final payment sentence is dense but each clause carries needed information, so it is close to optimally sized.

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, return values need not be explained, and the description still covers purpose, scope, alternative, fetch method, and pricing. Nothing an agent needs to call this 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 coverage is 100% and the single param is already documented as an https URL input for the paid endpoint. The description only loosely restates 'from a URL' and adds no format or constraint detail. Baseline 3 is appropriate when the schema does the heavy lifting.

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?

It names a specific verb (Extract) and resource (URL) and enumerates exactly what is returned: title, meta description, ~3k chars plain text, and outbound links. It also differentiates itself from the sibling web-extract by naming what it is not for.

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?

It states the positive condition ('when you need readable page text cheaply') and the negative condition with the named alternative ('Not for clean markdown of JS-heavy pages (use web-extract)'). Both when-to-use and when-not are explicit, so no inference is required.

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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