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x402-csv-sort

CSV Sort: Sort CSV data by a specified column. Provide csv text and column (or col); optional order=desc for descending. 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
colNo
csvNo
dataNo
textNo
orderNo
columnNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changed
    • removedInput schema / properties / col / description
      Removed value: -"Col to process"
    • removedInput schema / properties / column / description
      Removed value: -"Column to process"
    • removedInput schema / properties / csv / description
      Removed value: -"Csv to process"
    • removedInput schema / properties / data / description
      Removed value: -"Data to process"
    • removedInput schema / properties / order / description
      Removed value: -"Order to process"
    • removedInput schema / properties / text / description
      Removed value: -"Text to process"
  2. Changed1 schema field changed
    • addedInput schema / properties / text
      Added value: +{
      +  "description": "Text to process",
      +  "type": "string"
      +}
  3. First observed

TDQS

B3.2/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are supplied, so the description carries the full behavioral burden and largely drops it. It does not say whether sorting is lexicographic or numeric-aware, whether the header row is preserved, whether the sort is stable, or what the tool returns; the only added context is the free-trial billing note.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences that front-load the verb and resource, followed by concrete input guidance and the optional flag. The emoji-laden trial-call line is slightly noisy but is legitimate pricing information for a paid x402 endpoint.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a six-parameter transform with zero schema documentation, no annotations, and no output schema, the description covers just enough to invoke it. It leaves the alias parameters and sort semantics (numeric vs string, header handling, return format) unexplained, which an agent would need to guess.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and no parameters are required, so the description must compensate. It meaningfully clarifies that csv text plus column (or col) are the operative inputs and that order=desc inverts direction, but it never mentions the data/text aliases that also accept the CSV body, nor the default when order is omitted.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

"Sort CSV data by a specified column" states a specific verb and resource, so the agent can immediately tell it is a CSV row ordering transform, not a filter or parse. It stops short of distinguishing itself from close siblings like csv-filter, sort-lines, or sort-numbers, so it is clear but not sibling-differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage through its input instructions ("Provide csv text and column") and the optional descending flag, which gives enough context to call it. It never says when to use this instead of csv-filter or sort-strings, and offers no exclusions or prerequisites.

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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