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generate_qr

Create QR codes from text or URLs, receiving output as base64 PNG or SVG. Encode any text or link into a QR code for scanning.

Instructions

Generate a QR code from text or URL (returns base64 PNG or SVG)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sizeNoImage size in pixels
textYesText or URL to encode
formatNoOutput formatbase64
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions returning base64 PNG or SVG, but omits the 'terminal' format available in the schema, providing incomplete and slightly misleading information about output behavior.

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?

The description is a single sentence that is front-loaded with the core action and includes essential input/output details. There is no wasted wording.

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 no output schema and no annotations, the description should explain all return possibilities and any relevant behavior. It fails to mention the 'terminal' format and provides no info about error handling or size constraints, leaving important gaps.

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%, so the parameters are already well-described. The description adds minimal value beyond the schema, though it does clarify that 'base64' likely refers to a PNG image, which is helpful for interpreting the format enum.

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 clearly states the action ('Generate a QR code'), the resource ('QR code'), and the input ('from text or URL'). It even mentions output formats, making the tool's purpose unmistakable and distinguishing it from any sibling tool.

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

Usage Guidelines3/5

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

The description implies usage by stating the input and output, but it does not explicitly specify when to use this tool versus alternatives, nor does it mention any exclusions or prerequisites. With no sibling QR tool, some guidance is implied but not articulated.

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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