x402-complex-magnitude
Complex Magnitude: Complex Magnitude
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| a | No | A to process | |
| b | No | B to process | |
| imag | No | Imag to process | |
| real | No | Real to process |
Complex Magnitude: Complex Magnitude
| Name | Required | Description | Default |
|---|---|---|---|
| a | No | A to process | |
| b | No | B to process | |
| imag | No | Imag to process | |
| real | No | Real to process |
Changes observed during successful MCP inspections.
Input schema / properties / aAdded value: +{
+ "description": "A to process",
+ "type": "string"
+}Input schema / properties / bAdded value: +{
+ "description": "B to process",
+ "type": "string"
+}Input schema / properties / imagAdded value: +{
+ "description": "Imag to process",
+ "type": "string"
+}Input schema / properties / realAdded value: +{
+ "description": "Real 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, yet it discloses nothing: not whether the result is a number or string, not the expected input format, not whether arguments are required. The text adds zero behavioral context beyond the name.
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 text is short but structurally empty: it is a duplicated fragment rather than a front-loaded sentence, and its brevity comes from under-specification rather than efficient wording.
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?
With no annotations, no output schema, and four undocumented parameters, the description is completely inadequate for calling the tool correctly. Critical information such as whether to pass '3+4i' or separate real/imag values, and whether all inputs are strings, is absent everywhere.
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 the four parameter descriptions are placeholders ('A to process', 'B to process', 'Imag to process', 'Real to process') that convey no meaning. The description does not explain the ambiguity of having both a/b and real/imag, so an agent cannot tell which pair to supply or in what format.
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 a tautology: it repeats the tool name 'Complex Magnitude' twice with no verb, no statement of what is computed, and no output characterization. An agent can guess it computes the modulus of a complex number only from the name alone, not from the description text.
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 prerequisites, and no mention of alternatives such as x402-complex-add, x402-complex-div, x402-complex-angle, or x402-complex-conjugate, which appear in the sibling list. Nothing routes the agent to this tool over its near-identical siblings.
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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