x402-boyle-law
Boyle Law: Law of boyle.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| finalVolume | No | FinalVolume to process | |
| initialVolume | No | InitialVolume to process | |
| initialPressure | No | InitialPressure to process |
Boyle Law: Law of boyle.
| Name | Required | Description | Default |
|---|---|---|---|
| finalVolume | No | FinalVolume to process | |
| initialVolume | No | InitialVolume to process | |
| initialPressure | No | InitialPressure to process |
Changes observed during successful MCP inspections.
Input schema / properties / finalVolumeAdded value: +{
+ "description": "FinalVolume to process",
+ "type": "string"
+}Input schema / properties / initialPressureAdded value: +{
+ "description": "InitialPressure to process",
+ "type": "string"
+}Input schema / properties / initialVolumeAdded value: +{
+ "description": "InitialVolume 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, yet it discloses nothing: no indication that this is a pure computation, whether inputs must be positive, what units are expected, or which variable is solved for.
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 single sentence is trivially short but wastes its words on a redundant restatement of the name; brevity here reflects under-specification rather than efficient front-loading.
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 three-parameter physics computation with no annotations and no output schema, the description supplies none of the information an agent needs: the formula, the units, or which quantity is returned.
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%, so the baseline is 3, but the schema entries are generic ('FinalVolume to process') and the description adds no unit, sign, or role information (which parameter is the unknown) beyond them.
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 'Boyle Law: Law of boyle.' merely restates the name; it never says what the tool computes (Boyle's law P1V1 = P2V2, presumably solving for a missing variable). Given siblings like x402-charles-law and x402-ideal-gas, an agent cannot tell what this returns or which quantity is derived.
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 mention of alternatives such as x402-ideal-gas or x402-charles-law, and no statement of preconditions (e.g., which three of the four quantities must be supplied).
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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