Check a GENOSYS order
order_statusStatus and payment of a GENOSYS order. Needs the order number and the email used for the order.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| Yes | |||
| order_number | Yes |
order_statusStatus and payment of a GENOSYS order. Needs the order number and the email used for the order.
| Name | Required | Description | Default |
|---|---|---|---|
| Yes | |||
| order_number | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint and non-destructive behavior, so the safety profile is covered. The description adds one genuinely non-obvious behavior: the lookup is gated on supplying the email used at order time, which is an authorization/lookup constraint not visible in the annotations. It says nothing about error behavior when the email does not match, or about pagination/return shape.
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?
Two compact sentences with no filler, and the purpose (status and payment) is front-loaded ahead of the prerequisite. Nothing in the text is redundant.
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?
For a simple two-parameter read with no output schema and no nested objects, the description covers what the tool returns and what it requires. It could be marginally stronger by saying whether shipping/delivery details are included and what a failed lookup looks like, but nothing an agent needs to call it correctly is missing.
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?
Schema description coverage is 0%, so the description must carry the load, and it does supply meaning for both parameters: the order number and the requirement that the email be the one used for the order. That constraint is valuable, but there is no detail on accepted order-number formats, case sensitivity, or how mismatches are surfaced.
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 a specific resource (a GENOSYS order) and states exactly what it returns: status and payment. That is enough for an agent to distinguish it from place_order or open_checkout, though it never explicitly names a sibling it is not, so it stops short of a 5.
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 when-to-use framing and no mention of alternatives among ten siblings, several of which (place_order, open_checkout, fetch) sit in the same order lifecycle. The only guidance is the implied prerequisite that the caller must already hold an order number and the ordering email.
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.