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CSV to JSON Converter

CSVtoJSONConverter
Read-only

CSV to JSON Converter: CSV to JSON Converter parses raw CSV text into an array of JSON objects with column names and row counts. It handles comma, semicolon, tab, or pipe delimiters, with optional header row detection. (Cost: 1 credit)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "csv": "<csv>"
    },
    "name": "CSVtoJSONConverter"
  }
}

Input Schema

NameRequiredDescriptionDefault
csvYesThe CSV data to convert to JSON
delimiterNoThe delimiter used in the CSV,
has_headerNoWhether the first row contains column headers (default: true)

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true, destructiveHint=false, openWorldHint=true, so the safety profile is covered. The description adds genuinely new behavior: supported delimiters (comma, semicolon, tab, pipe), optional header-row detection affecting the result, and a per-call cost of 1 credit, which an agent needs for budgeting.

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?

The substance is front-loaded and the two clauses are efficient, but the leading 'CSV to JSON Converter: CSV to JSON Converter' doubles the title and name for no informational gain. The cost note at the end is well-placed and short.

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

Completeness4/5

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

For a three-parameter, non-destructive conversion tool with full schema descriptions and an output schema, the description covers input format, delimiter flexibility, header handling, and cost. Only the relationship to the inverse CSV tool is missing, which is a minor gap at this complexity level.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description earns an extra point by enumerating the accepted delimiter values, which the schema only vaguely calls 'The delimiter used in the CSV'. Header detection is also echoed with its default, reinforcing the schema rather than merely restating it.

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?

The description gives a specific verb and resource (parses raw CSV text into an array of JSON objects) and even states the output shape with column names and row counts. It does not, however, distinguish itself from the inverse sibling JSONtoCSVConverter, which sits right next to it in the tool list.

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

Usage Guidelines2/5

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

There is no guidance on when to choose this tool versus JSONtoCSVConverter or other format converters, and no stated preconditions or exclusions. The only usage-adjacent signal is the implicit 'give me raw CSV text' framing.

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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