x402-population-variance
Population Variance: Computes the population variance of an array, dividing by n 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| values | No |
Population Variance: Computes the population variance of an array, dividing by n 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| values | No |
Changes observed during successful MCP inspections.
Input schema / properties / values / descriptionRemoved value: -"Values to process"Input schema / properties / valuesAdded value: +{
+ "description": "Values 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. It does disclose the core computational trait (division by n rather than n-1) and a rate-limit/pricing condition ('5 free trial calls per signed wallet'), but it is silent on input parsing, empty-array or error behavior, and 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?
Front-loaded with the definition in one efficient sentence. The trailing free-trial/emoji marketing clause is promotional filler rather than decision-relevant information, but the total length is small so the cost is minor.
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 one-parameter math utility with no output schema and no annotations, the description should at minimum state the expected input encoding. It instead introduces a mismatch ('array' vs string schema) and leaves sibling disambiguation to the agent, so an agent cannot call it correctly with confidence.
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 single 'values' parameter, so the description must compensate and does not. It calls the input 'an array' while the schema types it as a plain string, leaving delimiter/format (comma-separated? JSON array? whitespace?) completely unspecified.
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?
States a specific verb and resource ('Computes the population variance of an array') and adds the technical definition 'dividing by n', which separates it conceptually from sample variance (n-1). It does not, however, name or distinguish itself from near-identical siblings such as x402-variance, x402-variance-population, or x402-pooled-variance.
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 when-not-to-use guidance, and no routing to alternatives. Given that the sibling list contains x402-variance, x402-variance-population, x402-variance-sample, and x402-sample-variance, some disambiguation sentence was needed and none is present.
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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