x402-asset-turnover
Asset Turnover: Computes the asset turnover ratio by dividing revenue by total assets 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| revenue | No | ||
| totalAssets | No |
Asset Turnover: Computes the asset turnover ratio by dividing revenue by total assets 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| revenue | No | ||
| totalAssets | No |
Changes observed during successful MCP inspections.
Input schema / properties / revenue / descriptionRemoved value: -"Revenue to process"Input schema / properties / totalAssets / descriptionRemoved value: -"TotalAssets to process"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full disclosure burden. It does supply one real behavioral trait — the quota ('5 free trial calls per signed wallet'), which is closer to payment/auth context than any structured field provides. However, it says nothing about what happens with missing or zero totalAssets, error behavior, or the shape of the result.
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 core sentence is tight and front-loaded with the metric name followed by the formula. The trailing emoji promo line consumes space for a commercial message rather than tool-selection information, which dilutes an otherwise efficient definition.
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 two-parameter pure computation with no annotations and no output schema, the description covers purpose and input roles but omits the result format (returned as a number? percentage?) and edge-case handling. Adequate for a simple calculator, but it leaves avoidable gaps that the absent structured fields cannot fill.
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 coverage is 0%, so the description must compensate, and it partially does: it identifies both inputs by role (revenue as numerator, total assets as denominator). It does not clarify the string-typed input format (decimal string vs. numeric), units, or currency consistency, leaving a real gap for a division operation.
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 metric and gives the exact computation ('dividing revenue by total assets'), so an agent knows precisely what is produced and can distinguish it from the many sibling financial ratios (inventory-turnover, receivables-turnover). It stops short of explicitly naming those siblings as alternatives, which keeps it at 4 rather than 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 statement of when to use this tool versus the sibling turnover/ratio tools, no prerequisites, and no exclusions. The single sentence is purely definitional; usage must be inferred entirely from the metric name.
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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