x402-capacitive-reactance
Capacitive Reactance: Capacitive Reactance
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| frequency | No | Frequency to process | |
| capacitance | No | Capacitance to process |
Capacitive Reactance: Capacitive Reactance
| Name | Required | Description | Default |
|---|---|---|---|
| frequency | No | Frequency to process | |
| capacitance | No | Capacitance to process |
Changes observed during successful MCP inspections.
Input schema / properties / capacitanceAdded value: +{
+ "description": "Capacitance to process",
+ "type": "string"
+}Input schema / properties / frequencyAdded value: +{
+ "description": "Frequency 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 behavioral burden, and it discloses nothing. It does not state the formula (Xc = 1/(2πfC)), expected units for inputs or output, whether values are safe for any frequency, or the response shape.
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 only sentence is a duplicated noun phrase. No front-loaded verb or scope statement exists to be concise about.
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 physics calculator with no annotations and no output schema, the description supplies none of the missing context: no formula, no units, no output description, no indication of what a caller receives back.
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 nominally 100%, but both parameters are documented only as "Frequency to process" and "Capacitance to process" – placeholders that convey no unit, format, or range semantics. The description adds nothing to disambiguate Hz vs. rad/s or F vs. µF, so the nominal coverage does not translate into real meaning.
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 "Capacitive Reactance: Capacitive Reactance", a verbatim restatement of the tool name with no verb, no stated operation, and no differentiation from siblings such as x402-capacitance, x402-inductive-reactance, or x402-frequency. It is pure tautology.
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, no naming of related tools (e.g., inductive reactance vs. capacitance). An agent has nothing to route on beyond the name itself.
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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