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minia2a-mcp

x402-remove-accents

Remove Accents: Remove Accents

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 entire burden of behavioral disclosure, yet it discloses nothing beyond repeating the tool name. It does not state whether the operation transforms text in place, how edge cases are handled, what the return format is, or any other behavioral expectations.

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 rather than conciseness. The colon-separated format resembles a placeholder or title payload that repeats the exact tool name, and no sentence earns its place by adding information.

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?

The tool has no annotations, no output schema, and no parameters, making the description the only source of information - and it is completely inadequate. The empty input schema makes it especially critical for the description to explain how input reaches the tool, which it fails to do. An agent cannot invoke this tool correctly.

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?

The schema has 0 parameters (100% coverage), so the baseline is 4, but the description wastes this opportunity: it never explains how an agent is supposed to supply text input to a parameterless text-processing tool. The tautological text adds no semantic value, so the score is reduced well below 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 'Remove Accents: Remove Accents' is a pure tautology that restates the tool name without explaining what the operation does, what input it consumes, or what output it yields. An agent gains nothing beyond what the name alone conveys, and the description fails to differentiate this tool from dozens of sibling text-processing tools.

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 usage guidance is provided. There is no statement of when to use this tool versus alternatives like x402-remove-non-ascii, x402-remove-punct, x402-remove-emoji, or x402-strip-emoji, all of which are plausible substitutes. An agent cannot determine the conditions that select this tool.

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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