x402-capacitance-energy
Capacitance Energy: Energy of capacitance. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| voltage | No | ||
| capacitance | No |
Capacitance Energy: Energy of capacitance. 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| voltage | No | ||
| capacitance | No |
Changes observed during successful MCP inspections.
Input schema / properties / capacitance / descriptionRemoved value: -"Capacitance to process"Input schema / properties / voltage / descriptionRemoved value: -"Voltage to process"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 almost nothing about behavior: no units expected, no validation rules, no indication of what the computation returns. The only behavioral detail offered is the x402 payment model (5 free calls per signed wallet), which is useful context but not computational transparency.
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 very short and front-loaded, so it wastes little space, but roughly half the text is promotional billing boilerplate rather than tool information, and the core sentence is a redundant restatement.
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 computation with no annotations, no output schema, and no parameter documentation, the description leaves the agent guessing about formula, units, and return shape. A physics calculator needs at minimum the formula and expected units to be callable 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 0% and both parameters are untyped strings, so the schema supplies only the names 'voltage' and 'capacitance'. The description adds no unit conventions (volts? farads?), no format expectations, and no indication that neither parameter is required.
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?
"Capacitance Energy: Energy of capacitance" restates the tool name in different word order and adds no distinguishing detail. It does not state the physics formula (E = ½CV²) or what it returns, so an agent cannot tell from the text how this differs from siblings like x402-energy, x402-potential-energy, or x402-capacitance.
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 when-to-use guidance, no mention of when to pick x402-capacitance or x402-potential-energy instead, and no prerequisites. The only contextual sentence concerns free trial billing, not invocation conditions.
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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