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x402-data-size-humanize

Data Size Humanize: Data Size Humanize

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bytesNoBytes to process
valueNoValue to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.4/5.0
Behavior1/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure, and it discloses nothing. There is no mention of return format, unit conventions (binary vs decimal), handling of invalid input, or side effects. The description contains zero behavioral claims beyond repeating the tool's label.

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?

This is under-specification, not conciseness. The 'Title: Body' structure contains two identical phrases, so every word is wasted repetition. There is no front-loaded information because there is no information at all.

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 output schema and no annotations, the description is the sole source of contextual information, and it provides none. An agent cannot determine the expected input format (numeric string, '10MB', '1024'?), the output convention (B/KB/MB vs KiB/MiB), or how this tool differs from several siblings. The definition is completely inadequate for a 2-parameter tool.

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 coverage is 100%, so the baseline is 3 even with no parameter info in the description. Both 'bytes' and 'value' are documented as strings, but their schema descriptions ('Bytes to process' / 'Value to process') are vague about expected format, and the tool has two optional parameters with no clarification of which to supply. The description adds nothing to resolve that ambiguity, so it stays at baseline.

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

Purpose1/5

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

The description, 'Data Size Humanize: Data Size Humanize,' is a verbatim restatement of the tool name — a pure tautology. It does not state what the tool does (e.g., convert a byte count to a human-readable size string), what the output looks like, or what units are involved. It is also indistinguishable from adjacent siblings such as x402-file-size-humanize, x402-format-bytes, x402-data-size, and x402-throughput-humanize.

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?

No guidance is provided on when to use this tool versus its siblings. There is no context, no exclusion criteria, and no mention of alternatives like x402-file-size-humanize or x402-data-size. An agent has no basis for selecting this tool over the many similar-looking size/format siblings.

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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