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util_json_validate

Validate JSON data, receive error details if invalid, and obtain a pretty-printed output.

Instructions

Validate and pretty-print JSON. Returns validity, errors, and formatted output.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argumentsYes
Behavior2/5

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

No annotations provided, so the description carries full burden. It states basic functionality (validate, pretty-print) but omits behavioral traits like side effects, rate limits, or error handling. It does not contradict annotations since none exist.

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?

Two sentences, front-loaded with purpose, no filler. Every word earns its place.

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 lack of output schema, the description mentions return values (validity, errors, formatted output) which is adequate. However, missing parameter semantics and usage guidance reduce completeness for a tool with one complex parameter.

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?

Schema coverage is 0% for the single parameter 'arguments' (an object with additionalProperties: true). The description adds no explanation of what to pass or how the parameter relates to validation/pretty-printing.

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 uses specific verbs 'validate' and 'pretty-print' with the resource 'JSON', making the tool's purpose immediately clear. It distinguishes itself from sibling tools like util_json_to_csv which convert format.

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 vs alternatives such as util_json_to_csv or other validation tools. No exclusions or context provided.

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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