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ozon_product_attributes

Retrieve product attributes like brand for Ozon listings by product ID or offer ID to enrich catalog data.

Instructions

Product attributes including BRAND (атрибуты, бренд).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offer_idNooffer_id filter
product_idNoid filter

Schema Changelog

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

  1. First observedv2.5.2

TDQS

D1.8/5.0
Behavior1/5

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 behavioral disclosure. It does not reveal whether the operation is read-only, what the output looks like, how pagination behaves, or how the filters affect results. 'Including BRAND' is only a vague content hint, not a behavioral trait.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, but this is under-specification rather than effective conciseness. It is a fragment with no verb and no usable guidance, so its brevity does not serve the agent's decision-making.

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 no annotations, no output schema, and 3 filter parameters, the description must carry more weight. It fails to state the operation, filter semantics, return shape, or pagination behavior, so an agent cannot confidently invoke it correctly based on this definition alone.

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 67%, but the only descriptions are terse ('offer_id filter', 'id filter') and limit is undocumented. The description adds nothing about how offer_id, product_id, and limit relate to the returned product attributes, leaving the actual query semantics to inference.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a noun phrase that mostly restates the tool name ('Product attributes') and adds only one example value ('BRAND'). It never states the operation (get/list/fetch), so an agent cannot tell whether this retrieves attributes, updates them, or does something else — especially with siblings like ozon_product_attributes_update and ozon_category_attributes present.

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?

No guidance is provided on when to use this tool versus alternatives such as ozon_category_attributes, ozon_product_attributes_update, or ozon_product_info. There are no conditions, exclusions, or hints about which product-related tasks should route here.

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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