x402-data-transform
Data Transform: Transform data between formats.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| csv | No | ||
| json | No |
Data Transform: Transform data between formats.
| Name | Required | Description | Default |
|---|---|---|---|
| csv | No | ||
| json | No |
Changes observed during successful MCP inspections.
Input schema / properties / csv / descriptionRemoved value: -"Csv to process"Input schema / properties / json / descriptionRemoved value: -"Json to process"Input schema / properties / jsonAdded value: +{
+ "description": "Json to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full behavioral burden, and it discloses essentially nothing: not the supported direction of conversion, not which parameter is source vs target, not whether one of the two optional params must be supplied, and not how conflicts are resolved when both are passed. Only the abstract operation category is conveyed.
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 a single short, front-loaded sentence with no padding, which is structurally fine. However, the title-style prefix 'Data Transform:' duplicates the sentence after it, so part of the brevity is redundancy rather than efficiency.
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 conversion tool with two interchangeable-looking optional format parameters, no annotations, and no output schema, the description is too thin: an agent cannot determine input format, output format, or required inputs. Low structural complexity does not excuse this level of missing context.
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 both parameters, so the description must compensate and it does not. It never references the 'csv' or 'json' inputs, never indicates which is the source versus the target, and never says whether both are required despite required_parameters being zero.
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 states a verb and resource ('Transform data between formats'), so the general operation is legible, but it never names which formats are supported and the phrasing largely restates the tool name. With siblings like x402-csv-json, x402-json-yaml, x402-tsv-json and x402-units-convert, an agent cannot tell what this tool uniquely covers.
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 prerequisite or input-selection condition, and no mention of alternative conversion siblings. The agent receives no signal about when this tool should be chosen over the numerous other format-conversion tools.
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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