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x402-json-flatten

JSON Flatten: JSON Flatten

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoData to process
jsonNoJson to process
textNoText to process
inputNoInput to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / json
      Added value: +{
      +  "description": "Json to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / text
      Added value: +{
      +  "description": "Text to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

D1.5/5.0
Behavior1/5

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, and it discloses nothing — not the expected input format, whether nested arrays/objects are handled, what the flattened key delimiter is, or what the response contains.

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

Conciseness2/5

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

It is short, but the brevity is under-specification rather than conciseness: the single redundant clause contributes zero usable information and there is no front-loaded statement of purpose to build on.

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

Completeness1/5

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

With no annotations, no output schema, and four ambiguous parameters, the description would need to carry substantial weight — instead it is empty. An agent cannot determine input format, output shape, or edge-case behavior from this definition.

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

Parameters2/5

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

Schema description coverage is nominally 100%, but the four descriptions are generic placeholders ('Data to process', 'Json to process', 'Text to process', 'Input to process') that do not explain the semantics of any parameter. Worse, the four parameters appear to be aliases of the same value, and the description does nothing to disambiguate which one an agent should populate — leaving real ambiguity unresolved.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'JSON Flatten: JSON Flatten' merely restates the tool name with no added information — it is a tautology rather than a statement of what the tool does. It implies the resource (JSON) but says nothing about the operation's output or scope, and gives no differentiation from siblings like x402-json-unflatten or x402-flatten.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance at all on when to use this tool, when not to, or which sibling (e.g. x402-json-unflatten, x402-flatten) to prefer. The agent must infer everything from the name alone.

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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