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bicibg

Apixies MCP Server

by bicibg

generate_qr

Read-only

Create a QR code image from any text or URL. Customize size, colors, and margin, and receive SVG output suitable for embedding or printing.

Instructions

Generate a QR code image from text or a URL. Returns SVG with customizable size, colors, and margin.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bgNoBackground color as hex (default: "#ffffff")
sizeNoSize in pixels (default: 200, range: 50-1000)
textYesText or URL to encode in the QR code
colorNoForeground color as hex (default: "#1a1a2e")
formatNoOutput format: "svg" (the only format)
marginNoMargin/quiet zone size (default: 1, range: 0-10)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.4.2

TDQS

A4/5.0
Behavior3/5

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

The readOnlyHint annotation already signals that the tool performs no state-changing side effects, which matches the non-destructive nature of generating an image. The description adds the return format (SVG) and mentions customization options, which are useful behavioral details. However, it does not disclose potential edge cases, error conditions, or limits beyond what annotations cover, so a 3 reflects that it adds some value but not rich behavioral context.

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, compact sentence that front-loads the core purpose and then lists key features. There is zero redundant wording; every clause contributes to an agent's understanding. This is an exemplar of conciseness.

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?

For a simple utility with only one required parameter and a rich input schema, the description is sufficient: it states the input type, the output format, and key customizations. It does not cover error handling or edge cases, but given the tool's simplicity and the presence of detailed parameter descriptions, the information provided is enough for correct invocation.

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%, meaning every parameter (text, size, color, bg, margin, format) is already documented in the schema. The description's mention of 'customizable size, colors, and margin' loosely maps to the parameters but adds no new semantics. Per the rubric, with full schema coverage, a baseline of 3 is correct; the description adds marginal value beyond the schema.

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 states a specific verb ('Generate') and a concrete resource ('QR code image'), and clarifies the input ('text or a URL') and output ('Returns SVG'). It is distinct from all sibling tools, none of which produce QR codes, so an agent can identify its purpose without confusion.

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?

The description implies usage clearly: whenever a QR code is needed from text or a URL. It does not explicitly name alternatives or exclusions, but since no sibling tool performs QR generation, the context is unambiguous. A 4 is appropriate because the purpose alone defines when to use it, even though explicit when/not-when guidance is absent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.