ozon_company_info
Need to know your Ozon company details? Retrieve your seller company information from the Ozon API.
Instructions
Seller company info (информация о компании).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Need to know your Ozon company details? Retrieve your seller company information from the Ozon API.
Seller company info (информация о компании).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v2.5.2Does 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 only says 'company info' and says nothing about side effects, authorization, rate limits, or what calling the tool does beyond a vague retrieval implication.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but largely restates the tool name and redundantly repeats itself in English and Russian. It is under-specified rather than efficiently informative.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no parameters the call itself is trivial, but with no output schema the description should clarify what company information is returned. It does not, leaving the expected result ambiguous.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the input schema is fully covered and there is no parameter meaning for the description to add. The zero-parameter baseline of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names the resource as the seller's company information, which gives some scope, but it is a noun phrase with no verb and no specific aspects of the information. It is vague and does not distinguish this tool from related Ozon info tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, and no exclusions or prerequisites are mentioned. The large sibling list contains related tools, but the description provides no help in selecting among them.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/DeviceIngineering/ozon-mcp-server'
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