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wb_barcodes_generate

Generate a specified number of barcodes for new goods on Wildberries. Use it when adding products that require barcodes before listing.

Instructions

Generate barcodes for new goods (баркоды).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.6.1

TDQS

C2.6/5.0
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 explaining behavior. It only says barcodes are generated but does not disclose whether barcodes are returned directly, saved to the system, what format they take, whether there are limits on the count parameter, or what side effects occur. This leaves significant behavioral ambiguity.

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?

The description is a single short sentence with no filler words, and the key verb and resource are front-loaded. It earns a slightly reduced score only because it is too sparse to convey much useful guidance.

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?

With one simple parameter and no output schema, the tool is relatively simple, but the description still omits essential context such as what the generated barcodes look like, how they are returned, and any constraints. The description is barely above the minimum needed to understand what operation is being performed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain the 'count' parameter at all. Although the schema default gives a small clue, the description fails to clarify what the count controls or how it affects barcode generation. The parameter semantics are effectively undocumented.

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 states a specific action ('Generate barcodes') and a specific resource ('for new goods'), with the Russian term clarifying the domain. However, it does not differentiate from potentially related tools such as wb_supply_barcode or other barcode-related operations, so it is clear but not fully distinguished from siblings.

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

Usage Guidelines2/5

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

The description gives no guidance on when this tool should be used versus alternatives, no prerequisites, and no indication of what distinguishes 'new goods' barcodes from other barcode workflows. An agent would have to infer appropriate usage from the name alone.

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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