x402-mean-abs-deviation
Mean Abs Deviation: Mean of abs deviation. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| values | No |
Mean Abs Deviation: Mean of abs deviation. 🆓 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?
With no annotations, the description carries the full behavioral burden but discloses almost nothing: no input format, no output shape, no error behavior, no determinism note. The only behavioral content is the commercial line about 5 free trial calls per signed wallet, which covers payment/auth but not what the tool actually does at runtime.
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, so there is no padding in the computational sentence. However, the promotional trial line consumes roughly half the description without aiding invocation, and the definition sentence is wasted on repeating the name.
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 numeric utility invoked with one loosely typed string parameter and no output schema, an agent needs at least the expected encoding of the input list and the shape of the result. Neither is present, leaving the definition materially incomplete for correct invocation despite the tool's simplicity.
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 adds no meaning at all — it never says whether values is comma-separated, whitespace-delimited, JSON, or numeric-only. Since the schema provides no help, the description needed to compensate and does not.
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?
"Mean Abs Deviation: Mean of abs deviation" restates the tool name and title rather than explaining the operation; the added text is a near-verbatim rephrasing. It does not distinguish this from close siblings such as x402-median-absolute-deviation, x402-mean-of, or x402-stddev, which all live in the same statistical family.
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 stated preconditions, and no reference to any alternative tool. An agent must infer entirely from the name that this computes mean absolute deviation rather than median absolute deviation or standard deviation. No exclusions or selection criteria are offered.
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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