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x402-area-size

Area Size: Convert between area units.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseNoBase to process
sideNoSide to process
shapeNoShape to process
widthNoWidth to process
heightNoHeight to process
lengthNoLength to process
radiusNoRadius to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / length
      Added value: +{
      +  "description": "Length to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

C2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden, and it delivers nothing beyond one terse sentence. It never explains how the seven geometric parameters interact (e.g., which apply to which shape), whether results are deterministic, or what the response looks like.

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

Conciseness3/5

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

It is a single front-loaded sentence with no filler, which is structurally fine, but it is concise to the point of under-specification rather than efficiency.

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?

Seven optional parameters, no annotations, no output schema, and a one-line description that is arguably inaccurate about the tool's function. Nothing an agent needs in order to call this correctly is present.

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?

Nominal schema coverage is 100%, but every parameter description is boilerplate ('Base to process', 'Side to process'), so the schema conveys no real semantics. The description does not compensate by explaining the role of 'shape' as a selector or which dimensions each shape requires, leaving the parameter set effectively undocumented.

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 largely restates the name ('Area Size') and then claims 'Convert between area units,' which sits oddly against a schema of geometric inputs (base, side, width, height, radius). There is no way to distinguish it from siblings like x402-area, x402-circle-area, or x402-units-convert, so an agent cannot tell what this tool actually computes.

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 when-to-use guidance, no prerequisites, and no named alternative despite dozens of overlapping area and unit-conversion siblings. The agent is left to guess whether this computes a shape's area or performs unit conversion.

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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