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minia2a-mcp

x402-sort-lines

Sort Lines: Sort lines of text (alpha, numeric, reverse).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orderNoOrder to process

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full disclosure burden, yet it never explains how the text input reaches the tool, what the single `order` parameter really contains, or how edge cases like casing and numeric parsing behave. The only disclosed behavior is the three mode labels, leaving the invocation contract largely opaque.

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?

The description is a single short sentence, which is appropriately compact, but the 'Sort Lines:' prefix merely restates the tool name and does not earn its place. The informal term 'alpha' instead of 'alphabetical' also reduces precision.

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

Completeness2/5

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

For a one-parameter tool with no annotations and no output schema, the description must be self-sufficient, and it is not: the source of the lines to be sorted is unstated, and the `order` parameter is never tied to how the text is passed or returned. A single clarifying sentence about the input format would materially complete the contract.

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 100%, so the baseline is 3, but the schema's own text — 'Order to process' — is essentially tautological. The description adds possible mode values (alpha, numeric, reverse), which is useful, but it fails to clarify whether `order` is the sort mode, the text being sorted, or both, and never maps the parameter to the sort behavior.

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

Purpose4/5

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

The description states a specific verb (sort) on a specific resource (lines of text) and lists three modes (alpha, numeric, reverse), which is enough to separate it from line-level siblings. However, it opens with 'Sort Lines:' restating the tool name, and in a catalog also containing sort-strings and sort-numbers, the differentiation is more implicit than explicit.

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?

There is no guidance on when to use this tool versus alternatives such as x402-sort-strings, x402-sort-numbers, or x402-reverse. The only signal is the phrase 'lines of text,' which implies a multi-line input, but no when-to-use, when-not-to-use, or alternative-naming is provided.

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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