x402-quick-ratio
Quick Ratio: Ratio of quick.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| inventory | No | Inventory to process | |
| currentAssets | No | CurrentAssets to process | |
| currentLiabilities | No | CurrentLiabilities to process |
Quick Ratio: Ratio of quick.
| Name | Required | Description | Default |
|---|---|---|---|
| inventory | No | Inventory to process | |
| currentAssets | No | CurrentAssets to process | |
| currentLiabilities | No | CurrentLiabilities to process |
Changes observed during successful MCP inspections.
Input schema / properties / currentAssetsAdded value: +{
+ "description": "CurrentAssets to process",
+ "type": "string"
+}Input schema / properties / currentLiabilitiesAdded value: +{
+ "description": "CurrentLiabilities to process",
+ "type": "string"
+}Input schema / properties / inventoryAdded value: +{
+ "description": "Inventory 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 disclosure burden, and it discloses nothing: no formula, no input format expectations, no output shape, no error behavior. An agent learns nothing about the tool's behavior beyond its name.
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 single sentence is pure repetition with no informational payload. Nothing useful is front-loaded because nothing useful is said.
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 3-parameter operation with no annotations and no output schema, the description supplies none of the compensating detail an agent would need to call it correctly or interpret results.
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 nominally 100%, so the baseline is 3 even though the description itself adds zero parameter meaning. Note the schema's own descriptions ('Inventory to process') are themselves tautological placeholders, so the effective clarity of the three params is weaker than the coverage figure suggests.
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 'Quick Ratio: Ratio of quick.' is a tautology that merely restates the tool name. It never states that this computes a financial liquidity metric from inventories/current assets/current liabilities, nor distinguishes it from siblings like x402-current-ratio or x402-working-capital.
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 indication of when to use this tool versus the many adjacent finance siblings (x402-current-ratio, x402-working-capital, x402-cash-conversion-cycle). No context, prerequisites, or alternatives are offered.
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.