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syedtaj7

Kitbag MCP

by syedtaj7

data_json_to_csv

Convert a JSON array of objects into a CSV string, either from a file or raw data, with customizable delimiter.

Instructions

Convert a JSON array of objects to a CSV string.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filePathNoLocal filesystem path to a JSON file containing the array.
jsonDataNoRaw JSON string (must represent an array of objects) to convert.
delimiterNoThe field delimiter character to use. Defaults to ','.,
Behavior2/5

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

With no annotations, the description carries the full burden. It only states basic output type (CSV string) but fails to disclose important behaviors like handling of nested objects, missing fields, error conditions, or performance implications.

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?

One sentence, 11 words, front-loaded with the core action. No superfluous content.

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?

No output schema exists, so description should explain the output format (e.g., header row, quoting, escaping). It does not, leaving uncertainty about the resulting CSV structure.

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 has 100% coverage with clear descriptions for all three parameters. The description adds no additional meaning beyond schema, so baseline 3 is appropriate.

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 the action (Convert) and the resource (JSON array of objects to CSV string). It directly distinguishes from sibling tools like data_csv_to_json, data_json_to_xml, etc.

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?

No guidance on when to use this tool versus alternatives or when not to use it. The description implies conversion but lacks explicit context for selection.

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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