Skip to main content
Glama

QR Code Generator

qr-generator

Generate a QR code for a text or URL. Input: text. The card renders and lets the user download a PNG. Use when a user wants a scannable QR code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYeshttps://mcp.gholl.com
localeNoen

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the post-invocation behavior ("the card renders and lets the user download a PNG"), which the schema does not reveal. It says nothing about failure modes, encoding limits, or whether the QR is stored/returned as data, so gaps remain.

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?

Three short sentences, front-loaded with the purpose and the usage trigger, with no filler. The "Input: `text`" clause is slightly redundant against the required-field schema, which keeps it from a top score.

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

Completeness3/5

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

For a two-parameter, no-output-schema tool this is roughly adequate: it covers purpose, the triggering use case, and the visible outcome (rendered card, PNG download). The unaddressed `locale` parameter is the main completeness hole, since nothing explains when or why to set it.

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%, so the description must compensate and it only half does. It names `text` as the input, but says nothing about what the value is used for at the encoding level, and completely omits `locale` (en/zh), leaving an agent to infer its effect from the enum alone.

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?

The description opens with a specific verb and resource ("Generate a QR code for a text or URL"), which is unambiguous about what the tool produces. No sibling in the list does anything similar, so differentiation is trivially satisfied, but it also does not reach the level of a description that actively contrasts itself against a competing 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?

"Use when a user wants a scannable QR code" gives an explicit trigger condition, which is better than nothing. However it states no exclusions, prerequisites, or alternatives, and it largely restates the purpose, so it only implies usage rather than guiding selection.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources