x402-factorial-series
Factorial Series: Series of factorial. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | ||
| count | No |
Factorial Series: Series of factorial. 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | ||
| count | No |
Changes observed during successful MCP inspections.
Input schema / properties / count / descriptionRemoved value: -"Count to process"Input schema / properties / n / descriptionRemoved value: -"N to process"Input schema / properties / countAdded value: +{
+ "description": "Count to process",
+ "type": "string"
+}Input schema / properties / nAdded value: +{
+ "description": "N to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full disclosure burden and largely fails it. The '5 free trial calls per signed wallet' line usefully signals that this is a paid, wallet-authenticated endpoint with a trial quota, but nothing is said about how the series is generated, how many terms are returned, error behavior, or output format.
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 and the pricing notice is front-loaded enough to be noticed, but the first sentence is pure redundancy that consumes half the description without adding information. Brevity here reflects underspecification rather than discipline.
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 tool with two opaque parameters, no annotations, and no output schema, the description must explain inputs and behavior — it explains neither. An agent has essentially no basis to construct a correct call beyond guessing at 'n' and 'count'.
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% for the two parameters ('n' and 'count'), both untyped strings with no enum or description. The description says nothing about what 'n' or 'count' mean — is 'n' the number whose factorial is taken and 'count' the number of terms? An agent has to guess, and the schema gives no help.
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 effectively a restatement of the tool name: 'Factorial Series: Series of factorial' adds no verb, no scope, and no differentiation from the many sibling series tools (x402-fibonacci-series, x402-square-series, x402-lucas-series, etc.). An agent cannot tell what the tool actually computes or returns.
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 and no mention of alternatives such as x402-factorial-series-adjacent siblings. The only extra information is a payment note about free trial calls, which is cost context rather than usage guidance.
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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