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convert_json_to_csv

Convert JSON data to CSV format for use in spreadsheets, analytics, and reporting tools.

Instructions

convert json to csv — JSON & Data tool. Costs $0.001 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoTool parameters as JSON object
Behavior2/5

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

With no annotations provided, the description carries full responsibility for disclosing behavioral traits. It does mention the cost via x402, which is useful, but it omits details about error handling, output format, or state changes. For a conversion tool, the lack of detail is significant.

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

Conciseness3/5

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

The description is very short and front-loaded with the action, which is good, but it includes the filler phrase 'JSON & Data tool' that adds no value. It is concise but lacks a helpful structure beyond the basic action.

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

Completeness2/5

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

Given the tool's simplicity, the description still fails to provide essential context: no info about the input structure, return value, or usage examples. The cost mention is useful but does not compensate for the missing operational details necessary for an AI agent to invoke the tool correctly.

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

Parameters1/5

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

The input schema only has a generic 'params' object with no specific parameter descriptions, and the tool description does not add any meaning about what parameters are required or accepted. The '100% schema coverage' is misleading because it refers to a placeholder, not actual parameter documentation.

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 clearly states the tool converts JSON to CSV with a specific verb and resource. However, it does not differentiate from sibling conversion tools like json_to_yaml or convert_csv_to_json beyond the name, and the added 'JSON & Data tool' tag is generic.

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 use this tool versus alternatives, no context on input requirements, and no mention of prerequisites. The cost is noted, but not the typical use case or expected data flow.

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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