Skip to main content
Glama
rspace-os

RSpace MCP Server

Official
by rspace-os

generate_barcode

Create scannable barcodes or QR codes for inventory items to enable physical sample tracking and identification. Generates printable image data for labeling.

Instructions

Generates scannable barcodes for inventory items

Usage: Create physical labels for sample tracking and identification Types: 'BARCODE' for standard linear barcodes, 'QR' for QR codes Returns: Binary barcode image data for printing or display

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
global_idYes
barcode_typeNoBARCODE

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The handler function for the 'generate_barcode' MCP tool. It is decorated with @mcp.tool for automatic registration and implements barcode generation by calling the inv_cli.barcode method, handling BARCODE or QR types.
    @mcp.tool(tags={"rspace", "inventory", "utility"})
    def generate_barcode(global_id: str, barcode_type: str = "BARCODE") -> bytes:
        """
        Generates scannable barcodes for inventory items
        
        Usage: Create physical labels for sample tracking and identification
        Types: 'BARCODE' for standard linear barcodes, 'QR' for QR codes
        Returns: Binary barcode image data for printing or display
        """
        bc_type = i.Barcode.BARCODE if barcode_type.upper() == "BARCODE" else i.Barcode.QR
        return inv_cli.barcode(global_id, barcode_type=bc_type)
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool generates barcodes for printing/display and returns binary image data, which is useful behavioral context. However, it misses details like permissions needed, rate limits, error conditions, or whether it's idempotent. For a tool with no annotations, this is a moderate disclosure level.

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 well-structured and front-loaded: the first sentence states the core purpose, followed by usage, types, and returns in clear sections. Each sentence adds value without redundancy. It's appropriately sized for a simple tool with 2 parameters.

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 tool's low complexity (2 parameters, no nested objects) and the presence of an output schema (which handles return values), the description is reasonably complete. It covers purpose, usage, types, and output format. However, with no annotations and low schema coverage, it could better explain parameters and behavioral constraints like error handling.

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. It explains 'barcode_type' with 'BARCODE' for linear and 'QR' for QR codes, adding meaning beyond the schema. However, it doesn't clarify 'global_id' (e.g., what format it expects or its role). With 2 parameters and only one partially explained, this is insufficient compensation for the low schema coverage.

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 clearly states the tool's purpose: 'Generates scannable barcodes for inventory items' with a specific verb ('Generates') and resource ('barcodes'). It distinguishes itself from sibling tools like 'create_sample' or 'tagDocumentOrNotebookEntry' by focusing on barcode generation rather than data creation or tagging. However, it doesn't explicitly differentiate from potential similar tools (none exist in the sibling list), so it's not a perfect 5.

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 provides implied usage context: 'Create physical labels for sample tracking and identification' suggests when to use it (for labeling inventory items). However, it lacks explicit guidance on when not to use it or alternatives (e.g., vs. other labeling methods or tools). No sibling tools directly overlap, so this is adequate but not comprehensive.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/rspace-os/rspace-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server