x402-csv-json
CSV JSON: Convert CSV data to JSON. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| csv | No | Csv to process | |
| input | No | Input to process |
CSV JSON: Convert CSV data to JSON. 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| csv | No | Csv to process | |
| input | No | Input to process |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It adds a useful quota detail ("5 free trial calls per signed wallet") but does not mention output shape, header-row assumptions, delimiter handling, or other conversion behaviors an agent would need to anticipate.
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?
The description is short and front-loads the core behavior in its first sentence. The trial-call note is useful context, though the leading "CSV JSON:" label is redundant with the tool 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 conversion tool with no annotations and no output schema, the description is incomplete. It does not clarify whether csv, input, or both must be supplied, what the JSON result structure will be, or how this compares with similar CSV and JSON utilities. The conversion goal is clear, but enough operational ambiguity remains.
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 100%, so the baseline is 3. The tool description itself adds no additional meaning to the parameters, and the schema's own descriptions are thin and ambiguous, especially "Input to process," but this dimension is scored against the already-high schema coverage.
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 clear action and resource: "Convert CSV data to JSON." The name x402-csv-json reinforces the CSV-to-JSON direction. However, it does not explicitly differentiate itself from related sibling tools like csv-parse, tsv-json, or csv-build.
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 provides no guidance on when to choose this tool over alternatives such as csv-parse, csv-sort, or csv-stats. It also does not explain how to use the two parameters, leaving the agent without selection or invocation context.
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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