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minia2a-mcp

x402-gzip-compress

Gzip Compress: Gzip Compress

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
opNoOp to process
dataNoData to process
modeNoMode to process
inputNoInput to process

TDQS

D1.3/5.0
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it discloses nothing: no mention of output format, whether input should be raw text or base64-encoded, size limits, or error behavior. The agent cannot predict what calling this tool returns.

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?

The text is short but this is under-specification, not economy — 'Gzip Compress: Gzip Compress' earns no informational weight per word. There is no front-loaded content because there is no content.

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?

For a tool with 4 parameters, no annotations, no output schema, and vacuous parameter descriptions, an agent cannot determine how to invoke it correctly: which param carries the payload, what encoding is expected, or what the result looks like. The existence of a paired gzip-decompress and multiple competing compression tools makes this omission more costly.

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 coverage is nominally 100%, but every parameter description is a vacuous tautology ('Op to process', 'Data to process', 'Mode to process', 'Input to process'), so the schema does no real explanatory work. The tool description adds zero disambiguation about which parameter is primary, valid values for op/mode, or which parameters are mutually exclusive.

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 'Gzip Compress: Gzip Compress' is a pure tautology that restates the tool name verbatim. It adds no verb+resource distinction beyond what the name already conveys and gives no statement of what gzip compression produces or how it differs from siblings like x402-gzip-decompress.

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 on when to use this tool versus nearby siblings x402-gzip-decompress, x402-brotli-compress, x402-deflate-compress, or x402-zip. No context, no exclusions, no alternatives mentioned.

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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TDQS

D1.6/5.0
Disambiguation1/5

The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.

Naming Consistency2/5

Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.

Tool Count1/5

1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.

Completeness2/5

The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.

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