get_order_status
Get ManaBuy order status by order number.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| orderNo | Yes | ManaBuy order number. |
Get ManaBuy order status by order number.
| Name | Required | Description | Default |
|---|---|---|---|
| orderNo | Yes | ManaBuy order number. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, but it only states the core purpose. It does not mention read-only nature, authentication requirements, response format, or whether the status is raw or processed. The term 'get' implies a read operation, but this is not explicitly stated.
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 a single, concise sentence that is front-loaded with the action and resource. It contains no unnecessary words or fluff, earning full marks for conciseness.
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?
Although the tool has only one parameter and low complexity, there is no output schema. The description does not explain what the response contains, what statuses exist, or how errors are handled. Without these details, an agent cannot fully anticipate the tool's behavior.
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 schema already describes orderNo as 'ManaBuy order number' with 100% coverage. The description's 'by order number' adds no additional meaning beyond the schema, aligning with the baseline of 3 for high schema coverage.
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 clearly states the tool gets ManaBuy order status by order number, identifying the specific resource (order status) and input (order number). It does not explicitly distinguish itself from get_order_detail, but the focus on 'status' implies a narrower scope than full order details.
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?
No guidance is provided on when to use this tool versus alternatives like get_order_detail. The description lacks any explicit or implicit context about preferred usage scenarios or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct action or resource: auth (login/logout/status), product discovery (search/detail), ordering (quote/create/status/detail). There is no functional overlap that would cause an agent to select the wrong tool.
All tool names follow a consistent verb_noun pattern in snake_case, such as search_products, create_order, get_login_status. Even login_manabuy and logout_manabuy fit the pattern with the domain as the object.
With 9 tools, the server is well-scoped for the ManaBuy ordering domain. Each tool covers a necessary step in the workflow without redundancy or bloat.
The set covers product discovery, quoting, order creation, order status/detail tracking, and session management. A notable gap is the lack of a cancel order or list orders capability, but the core purchasing flow is complete.