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x402-qr-generate

QR Generate: QR code generator: builds a QR code image URL for the given text at the requested pixel size. 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
dataNo
sizeNo
textNo
inputNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • removedInput schema / properties / data / description
      Removed value: -"Data to process"
    • removedInput schema / properties / input / description
      Removed value: -"Input to process"
    • removedInput schema / properties / size / description
      Removed value: -"Size to process"
    • removedInput schema / properties / text / description
      Removed value: -"Text to process"
  2. Changed1 schema field changed
    • addedInput schema / properties / text
      Added value: +{
      +  "description": "Text to process",
      +  "type": "string"
      +}
  3. First observed

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the burden, and it does deliver two useful traits: the result is an image URL rather than raw image bytes, and there is a per-wallet free-call quota implying auth/wallet signing is involved. It does not say what happens after the free calls are exhausted, whether payment is required, or whether output URLs expire.

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?

The core capability is front-loaded in a single clear sentence with no fluff. The 'QR Generate: QR code generator:' prefix duplicates the tool name and the emoji promo line costs a little space, but overall it is tight.

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

Completeness2/5

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

For a tool with four undocumented, ambiguous parameters and no output schema, the description should resolve which field holds the payload and what size looks like. It does cover the return type (image URL), but the input ambiguity is a real risk of a malformed call.

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 description coverage is 0% across 4 parameters, and the schema exposes three near-synonymous input fields (data, text, input) plus size, yet the description clarifies none of them. It implies 'text' carries the payload and 'size' is in pixels, but leaves the data/input aliases, the size format (e.g. '300' vs '300x300'), and the fact that nothing is required unexplained.

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?

States a concrete verb and output ('builds a QR code image URL for the given text at the requested pixel size'), so an agent knows exactly what comes back. It does not distinguish itself from close siblings such as x402-qr or x402-barcode-generate, so the agent cannot tell from the description which of these to pick.

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

Usage Guidelines2/5

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

There is no when-to-use or when-not-to-use guidance and no mention of the QR/barcode siblings. The only extra sentence is a pricing/quota note ('5 free trial calls per signed wallet'), which is commercial information rather than selection guidance.

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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