x402-max-drawdown
Max Drawdown: Maximum of drawdown. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| values | No |
Max Drawdown: Maximum of drawdown. 🆓 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 add one genuinely useful operational fact — 5 free trial calls per signed wallet — but says nothing about what the calculation returns (percentage vs. absolute), whether the series must be ordered, or what happens with insufficient data.
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?
Very short and front-loaded, so nothing is buried, but the first sentence is redundant with the name and the pricing emoji sentence is promotional rather than informative. It is brief without being dense with meaning.
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?
With no output schema, no annotations, and an entirely undocumented parameter, the description needs to supply input format and output semantics; it supplies neither. For a computational metric tool this leaves the agent unable to invoke it correctly without trial and error.
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, and the description does not compensate at all — it never explains the expected format (comma-separated numbers, JSON array, ordered chronological series) or whether values are prices or returns. The agent must guess the input encoding.
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?
"Max Drawdown: Maximum of drawdown" restates the tool name in circular form rather than stating a verb and resource. An agent can infer this computes the maximum drawdown of a numeric series, but the description never says what is measured (peak-to-trough decline of price/equity series) or that the calculation is financial.
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 whatsoever: no preconditions, no exclusions, and no mention of the closely related sibling x402-drawdown that an agent would need to disambiguate between them. The only extra sentence concerns free trial calls, not tool selection.
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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