x402-inventory-turnover
Inventory Turnover: Inventory Turnover
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cogs | No | Cogs to process | |
| averageInventory | No | AverageInventory to process |
Inventory Turnover: Inventory Turnover
| Name | Required | Description | Default |
|---|---|---|---|
| cogs | No | Cogs to process | |
| averageInventory | No | AverageInventory to process |
Changes observed during successful MCP inspections.
Input schema / properties / averageInventoryAdded value: +{
+ "description": "AverageInventory to process",
+ "type": "string"
+}Input schema / properties / cogsAdded value: +{
+ "description": "Cogs to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not whether the operation is pure/read-only, what it returns, nor any constraints. A single duplicated phrase is the entire definition.
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?
It is short, but brevity here is under-specification rather than conciseness: the same two words are repeated with no additional content, so no sentence earns its place.
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?
A financial-ratio tool with two undocumented semantic inputs, no annotations, and no output schema — there is nothing telling the agent what units, formulas, or return shape to expect. This is far below minimum viable.
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 100%, which sets the baseline at 3 per the rubric. However, the schema text itself is placeholder-quality ('Cogs to process', 'AverageInventory to process'), so the description adds no meaning on top of already uninformative schema entries.
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 is 'Inventory Turnover: Inventory Turnover', a verbatim tautology that restates the tool name twice. It never states what the tool computes or returns, and there are hundreds of sibling x402-* calculators it must be distinguished from.
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 when-to-use guidance, no prerequisites, no alternatives named. An agent cannot tell from the description whether this calculates a ratio, validates data, or formats output, nor how it relates to siblings like x402-asset-turnover or x402-receivables-turnover.
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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