x402-population-mean
Population Mean: Mean of population. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| values | No |
Population Mean: Mean of population. 🆓 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"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, and it discloses almost nothing: not the input format (string "values" could be CSV, JSON, or space-separated), not the output shape, not error behavior. The one genuine addition is the payment/pricing note about 5 free trial calls per signed wallet, which is useful context but not core behavior.
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 front-loaded, but the brevity reflects under-specification rather than economy, and the emoji-laden free-trial line is marketing framing rather than tool-relevant structure.
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 no annotations and no output schema, the description should explain the input encoding and at least the nature of the result. Neither is present, leaving an agent unable to construct a valid call with confidence beyond guessing.
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?
The single parameter "values" has 0% schema description coverage, and the description does nothing to compensate — it never states how the values string should be formatted (comma-delimited, JSON array, etc.). The word "population" only implies the parameter is a list of numbers.
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?
"Population Mean: Mean of population" essentially restates the tool name with no additional detail. It hints at population (vs. sample) mean, which weakly separates it from sibling x402-sample-mean, but no verb, scope, or computation context is added.
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?
The description gives no when-to-use guidance and never names alternatives such as x402-sample-mean, x402-mean-of, x402-median, or x402-weighted-mean, even though the catalog contains many closely related statistics tools. The only extra sentence concerns trial pricing, not usage.
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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