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KuudoAI

Amazon Vendor Central MCP

by KuudoAI

VendorOrdersV1_getPurchaseOrdersStatus

Retrieve purchase order statuses from Amazon Vendor Central by applying your specified filters to track order progress and identify pending shipments.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Returns purchase order statuses based on the filters that you specify.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observedv1.0.0

TDQS

B3/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does reveal that the tool runs in the Kuudo deployment rather than locally and that it returns statuses, which implies a read operation. However, it does not mention authentication, side effects, response shape, or any operational caveats, leaving significant behavioral ambiguity.

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

Conciseness4/5

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

The description is short and mostly front-loaded, with the functional statement appearing at the end. 'Catalog entry.' adds little operational value and could confuse an agent, but the rest of the text is efficient and free of redundant detail.

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?

The description is incomplete for effective invocation. It does not specify which filters are accepted, what the response contains, or any prerequisites. Since there is no output schema and no parameter documentation, the agent is left to infer the exact request format and return semantics from the tool name alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero declared properties but allows additionalProperties: true, and the parameter count is zero. The description adds meaningful guidance by saying the tool returns results 'based on the filters that you specify,' which clarifies that callers can pass filter parameters even though none are enumerated in the schema. It does not list specific filter names, but the baseline for zero-parameter tools is already 4 and the description adds value beyond the schema.

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

Purpose4/5

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

The description uses a clear verb and resource: 'Returns purchase order statuses based on the filters that you specify.' This distinguishes it from sibling tools like getPurchaseOrders and getPurchaseOrder by focusing on statuses rather than order lists or individual orders. The 'Catalog entry' and deployment note add context without undermining the core purpose.

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 given about when to use this tool versus alternatives such as VendorOrdersV1_getPurchaseOrders or VendorOrdersV1_getPurchaseOrder. The note about running in the Kuudo deployment provides some environmental context, but there are no explicit conditions, exclusions, or alternative recommendations.

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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