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minia2a-mcp

x402-text-shuffle

Text Shuffle: Text Shuffle

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputNoInput to process

TDQS

D1.4/5.0
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 reveals nothing. It does not state whether the input is transformed in place or returned as new text, what the output format is, whether shuffling is deterministic or random, or any edge-case behavior.

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 entry is short, but this is under-specification masquerading as conciseness, not economy of expression. The single phrase 'Text Shuffle: Text Shuffle' does not earn its place because it communicates nothing beyond the identifier itself.

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 text-processing tool with no annotations and no output schema, the description must explain what 'shuffle' means operationally and what the result looks like. It does neither, leaving the tool's core semantics entirely ambiguous and uncallable with confidence.

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 description coverage is 100% — the single 'input' parameter is documented as 'Input to process'. The description text adds nothing beyond the schema, but per the baseline for high schema coverage, the schema handles the parameter documentation adequately, even if minimally.

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 'Text Shuffle: Text Shuffle' is a pure tautology — it restates the tool name verbatim and adds zero semantic content. It fails to specify what operation is performed (shuffling characters? words? lines?) and cannot be distinguished from the many text-manipulation siblings like x402-reverse-string, x402-text-clean, or x402-text-toolkit.

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 whatsoever about when to use this tool versus any alternative. Among thousands of sibling tools, several of which are text-processing utilities, the description gives an agent no basis for selecting this tool over another.

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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