x402-inductive-reactance
Inductive Reactance: Inductive Reactance
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| frequency | No | Frequency to process | |
| inductance | No | Inductance to process |
Inductive Reactance: Inductive Reactance
| Name | Required | Description | Default |
|---|---|---|---|
| frequency | No | Frequency to process | |
| inductance | No | Inductance to process |
Changes observed during successful MCP inspections.
Input schema / properties / frequencyAdded value: +{
+ "description": "Frequency to process",
+ "type": "string"
+}Input schema / properties / inductanceAdded value: +{
+ "description": "Inductance to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the entire behavioral burden and delivers nothing: no formula (XL = 2*pi*f*L), no stated units or output shape, no indication of whether it is a pure computation. An agent has no basis to predict 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?
Two sentences' worth of text that is a verbatim duplication of the same phrase, so it is both redundant and under-specified. Brevity here comes from omission, not economy.
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 simple two-parameter calculator with no annotations and no output schema. The description supplies none of the compensating context it should: formula, units, or expected output, all of which matter for a numeric tool whose schema fields are vague.
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% with two parameters, so the baseline of 3 applies. However the schema text itself is thin ('Frequency to process', 'Inductance to process'), and the description adds no units (Hz vs rad/s, H vs mH) or range conventions, so it does not compensate for that ambiguity.
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 'Inductive Reactance: Inductive Reactance', a tautology that merely restates the tool name. It never states the verb (compute/calculate) or what is produced, so an agent cannot tell from the text what the tool does beyond the noun. It is distinguishable from x402-capacitive-reactance only by the name itself.
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, and no mention of the obvious adjacent sibling x402-capacitive-reactance or the generic x402-ohms-law variants. Usage is only weakly implied by the physical quantity named; nothing tells the agent when this beats an alternative.
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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