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vikash-b5

OmniKit

json_validate

Validate JSON text and transform it with pretty-printing or minification. Ensure correct syntax and format output for readability or compact use.

Instructions

Validate JSON and pretty-print or minify it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jsonYesjson text
formatNooutput style (default pretty)
Behavior2/5

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

No annotations are present, so the description carries the full burden. It conveys that the tool validates and formats, but says nothing about what happens when the input is invalid JSON—whether an error is returned, whether validation fails loudly, or how response messages look. For a validation tool, error behavior is essential context.

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?

A single, tight sentence containing both operations, with no filler. Every word earns its place and the core action is front-loaded.

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?

Given the tool's simplicity—two parameters, all documented, no nested objects—the description is nearly adequate. The notable gap is the absence of output schema and explanation of the return contract: returning formatted JSON vs. a validation status on invalid input. This leaves an agent guessing about what the tool will emit.

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 100%, so the schema already explains both parameters. The description barely adds param meaning beyond the enum choices ('pretty' and 'min'), which the schema also captures, so the baseline of 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 states a specific action ('Validate JSON') and a secondary behavior (pretty-print or minify), with a clear resource (JSON). It reads as the canonical JSON tool among the encoding/formatting siblings, so an agent can identify it without needing the schema.

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 explicit when-to-use or when-not-to-use guidance. The description implies the intended use, but it never acknowledges alternative forms of JSON handling or mentions conditions that should route the agent away from this tool.

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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