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qrcow

qr-cow MCP server

Official
by qrcow

render_styled_qrcode

Generate styled QR codes in bulk with custom colors, shapes, gradients, logos, and error correction. Output as PNG, JPG, or SVG without saving.

Instructions

Render a fully STYLED QR code image (colours, dot + eye shapes, gradient, logo, error-correction) from data and a style, WITHOUT saving it to the account. Great for generating codes in bulk. Use a preset for a ready-made look and/or set style fields to override. Returns the QR as an image (png/jpg) or SVG source. Stateless: this calls POST /v1/qr/render and stores nothing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesContent to encode (a URL, text, WIFI:T:WPA;S:..;P:..;; string, vCard, etc.).
sizeNo
styleNoExplicit style, applied over the preset.
formatNopng
presetNoReady-made style. One of: restaurant, cafe, tech, event, retail, wedding, healthcare, real-estate, business-card, crypto, sunset, ocean, forest, aurora, berry, mono.
Behavior4/5

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

With no annotations provided, the description carries the full burden. It explicitly discloses the stateless nature ('stores nothing'), the API endpoint (POST /v1/qr/render), and the return format (image or SVG). It does not mention error conditions or auth requirements, but for a stateless render tool this is adequate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description contains five sentences with redundancy between 'WITHOUT saving it to the account' and 'Stateless: ... stores nothing'. It could be condensed without losing meaning, though it remains readable.

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?

The tool is complex with nested style objects, but the description covers the core purpose, return format, and statelessness. It does not explain default behavior when neither preset nor style is provided, but the schema partially covers this. Overall, it is reasonably complete for a stateless render tool.

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 60%, leaving several style sub-fields undocumented. The description adds valuable semantics that 'style' fields override the 'preset', but it does not compensate for missing parameter details like eye shapes or gradient fields. It adds some value but not enough to fully close the gap.

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?

The description opens with a specific verb+resource: 'Render a fully STYLED QR code image', and explicitly distinguishes from sibling tools by stating 'WITHOUT saving it to the account' and 'Stateless'. This clearly separates it from create_qrcode (which presumably saves).

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

Usage Guidelines4/5

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

It names a use case ('Great for generating codes in bulk') and uses 'WITHOUT saving it to the account' to signal when not to use it (i.e., when persistence is needed). However, it does not explicitly name a sibling tool as an alternative, so it falls just short of a 5.

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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