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barcode-mcp

barcode-mcp

by Convalexa-Solutions-LLP
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Hybrid

Bulk generate barcodes

bulk_barcode

Batch-create barcodes and QR codes from a list of values, with each item output as a PNG file. Supports up to 50 codes per call.

Instructions

Generate many barcodes/QR codes at once from a list. Returns one PNG per item (capped at 50).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "items": "<items>"
    },
    "name": "bulk_barcode"
  }
}

Input Schema

NameRequiredDescriptionDefault
itemsYesList of values to encode (one barcode each, max 50)
scaleNoPixel scale factor (default 3)
heightNo1D bar height (default 10; ignored for QR)
symbologyNoBarcode type for all items (default code128)
includetextNoShow value under 1D barcodes (default true)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It discloses the output format (one PNG per item) and the hard limit of 50, which are key runtime behaviors. While it does not mention side effects or permissions, this is a non-destructive generation task, so the transparency is adequate and exceeds the minimum.

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 two sentences, each serving a distinct purpose: stating the bulk action and specifying the output behavior with a cap. It is front-loaded and free of unnecessary detail, making it highly efficient.

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?

Given the moderate complexity (5 parameters, no output schema, no annotations), the description provides the core purpose, output format, and an important constraint (cap). It does not explicitly describe parameter interactions or defaults, but the schema covers these, making the description sufficient for most use cases.

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 is already documented in the schema. The description adds no parameter-specific details beyond the list input, so it does not need to compensate for gaps. A baseline score of 3 is appropriate because the schema carries the explanatory weight.

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 tool generates many barcodes/QR codes at once from a list, which is a specific verb+resource combination. It distinguishes itself from siblings like generate_barcode and generate_qr by emphasizing bulk operation, and the output detail (one PNG per item, capped at 50) adds further clarity.

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 the intended use case—batch generation from a list—and the cap at 50 suggests handling multiple items. However, it does not explicitly name alternatives or state when not to use this tool (e.g., for a single barcode). The sibling names provide context, but the description itself lacks explicit exclusions.

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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