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API Hub MCP — 337+ Tools

API Hub MCP — 337+ Tools

by scotia1973-bot
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

convert_json_to_csv

Transform JSON data into CSV format for direct use in spreadsheets and data analysis tools.

Instructions

Convert JSON object or array to CSV format.

Use this to transform API responses or structured data into
spreadsheet-compatible CSV format.

Parameters:
    json_str — JSON string (object or array of objects) to convert.

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": {
      "json_str": "<json_str>"
    },
    "name": "convert_json_to_csv"
  }
}

Input Schema

NameRequiredDescriptionDefault
json_strYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.4.1

TDQS

A3.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden of behavioral disclosure. It lacks details on handling nested objects, error behavior, encoding, or output format specifics beyond 'CSV format'.

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

Conciseness5/5

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

The description is concise with two clear sentences, front-loading the purpose. The parameter description is integrated cleanly without redundancy.

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?

While the output schema exists (not shown) and the tool is simple, the description does not address edge cases like nested objects or malformed JSON, leaving some completeness gaps.

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 description coverage is 0%, but the description adds meaning by specifying 'JSON string (object or array of objects)', clarifying acceptable input types beyond the schema's generic 'string'.

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

Purpose5/5

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

The description clearly states 'Convert JSON object or array to CSV format', which is a specific verb+resource. The sibling tool 'convert_csv_to_json' distinguishes this as the reverse operation.

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

Usage Guidelines4/5

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

The description advises using this to transform API responses or structured data into CSV, providing clear context. However, it does not explicitly exclude cases like deeply nested JSON or mention alternative 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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