x402-ai-json-schema
AI JSON Schema: Generate JSON Schema from plain description.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| description | No | Description to process |
AI JSON Schema: Generate JSON Schema from plain description.
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| description | No | Description to process |
Changes observed during successful MCP inspections.
Input schema / properties / textAdded value: +{
+ "description": "Text to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It does not state what model or process generates the schema, whether output is deterministic, whether it requires network/auth, or any error behavior. It only hints at the input being a description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Very short, front-loaded with the action and output. It is efficient but too thin to guide invocation, though the format itself is fine.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool whose only job is generating JSON Schema from natural language, the description is minimal. It lacks any explanation of output shape, limitations, or relation to validators/converters in the same family, and there are no annotations or output schema to fill the gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema documents both parameters. The description adds no syntax, format, or selection guidance beyond the schema, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a concrete verb+resource: generate JSON Schema from a plain description. That is more than a tautology of the name. However, it does not differentiate from siblings like x402-json-schema-validate, x402-schema-validate, or x402-json-toolkit; only the name prefix suggests it belongs to the x402 family.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No when-to-use, when-not-to-use, or alternative-tool guidance is provided. With dozens of JSON and schema-related siblings, an agent gets no help choosing this over them.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.