x402-fibonacci-n
Fibonacci N: Fibonacci N
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| input | No | Input to process | |
| value | No | Value to process |
Fibonacci N: Fibonacci N
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | N to process | |
| input | No | Input to process | |
| value | No | Value to process |
Changes observed during successful MCP inspections.
Input schema / properties / valueAdded value: +{
+ "description": "Value to process",
+ "type": "string"
+}Input schema / properties / inputAdded value: +{
+ "description": "Input 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 entire behavioral burden, and it discloses nothing: no side effects, no auth or payment requirements (notable given the x402 payment prefix), no rate limits, and no indication of what is returned for a 3-parameter, zero-required-parameter signature.
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 this is under-specification rather than conciseness: the single fragment repeats the title verbatim and contains zero information. Brevity here earns no credit because no sentence does any work.
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 tool with no annotations, no output schema, and three undocumented-by-meaning parameters, the description is completely inadequate. Nothing an agent needs in order to call this tool correctly is present.
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 nominally 100%, so the baseline is 3 under the rubric. However, the schema strings are placeholders ("N to process", "Input to process", "Value to process") that convey no real semantics, and the description adds nothing about what n, input, or value mean or how they interact.
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 bare restatement of the tool name: "Fibonacci N: Fibonacci N". It does not say whether it computes the Nth Fibonacci number, checks a number for Fibonacci-ness, or generates a sequence, and it does nothing to distinguish it from siblings x402-fibonacci, x402-fibonacci-index, and x402-fibonacci-series.
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 usage guidance of any kind: no when-to-use, no when-not-to-use, no named alternative among the several Fibonacci siblings. An agent has no basis for choosing this tool over x402-fibonacci-series or x402-fibonacci-index.
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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