x402-gallons-to-liters
Gallons To Liters: Convert gallons to liters.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process | |
| gallons | No | Gallons to process |
Gallons To Liters: Convert gallons to liters.
| Name | Required | Description | Default |
|---|---|---|---|
| value | No | Value to process | |
| gallons | No | Gallons to process |
Changes observed during successful MCP inspections.
Input schema / properties / gallonsAdded value: +{
+ "description": "Gallons to process",
+ "type": "string"
+}Input schema / properties / valueAdded value: +{
+ "description": "Value 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 burden. It says nothing about precision, rounding behavior, output format, handling of invalid input, or any behavioral traits. For a conversion tool, the expected output format is entirely undocumented.
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 short sentences. The title and description are nearly identical, which is redundant. It's concise but under-specified rather than efficiently structured.
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?
No annotations, no output schema, and the description leaves essential questions unanswered: what precision, what units check, what happens on invalid input. Given the huge number of sibling tools, more context is needed to route correctly.
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%, giving a baseline 3. The description adds no parameter meaning beyond what the schema provides ('value' and 'gallons' both described as 'to process'). The schema wording itself is vague, but coverage is high so baseline applies.
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?
States a specific verb+resource: converting gallons to liters. This is clear and distinguishable from sibling tools like x402-liters-to-gallons by the direction. However, it doesn't differentiate from the broader unit-conversion family (x402-units-convert, x402-metric-imperial) beyond the container name.
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 guidance on when to use this vs the many other conversion tools available. The description merely restates the name. With over 1000 siblings including dedicated conversion tools, an agent has no signal about selection or preconditions.
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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