Retrieve full details of a specific FunPay order by its order ID. Access order information programmatically for integration.
| Name | Required | Description | Default |
|---|---|---|---|
| order_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| raw | No | ||
| date | No | ||
| price | Yes | ||
| amount | No | ||
| status | Yes | ||
| chat_id | Yes | ||
| buyer_id | Yes | ||
| currency | No | RUB | |
| seller_id | No | ||
| parameters | No | ||
| closed_date | No | ||
| description | Yes | ||
| buyer_username | Yes | ||
| seller_username | No |
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Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
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Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
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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?
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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?
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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?
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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/fakelag28/funpay-mcp-server'
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