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minia2a-mcp

x402-toxicity-score

Toxicity Score: Toxicity Score

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputNoInput to process
labelNoLabel to process
labelsNoLabels to process
contentNoContent to process

TDQS

D1.5/5.0
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, but it discloses nothing beyond the tool's name. It does not explain what a toxicity score means, the expected score range, whether higher or lower is more toxic, or how the tool behaves with different inputs.

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 description is short, but it is not effective conciseness: it is an under-specified restatement of the name. No sentence earns its place because the only sentence is redundant.

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 scoring tool with no output schema, no annotations, and four ambiguous optional parameters, this description is completely inadequate. It does not specify the expected input, the score semantics, the return format, or any edge-case behavior, so an agent cannot call it correctly with confidence.

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?

Although schema description coverage is listed at 100%, the parameter descriptions are generic placeholders like 'Input to process' and 'Content to process'. The tool description adds no meaning to distinguish between the four parameters, and since none are required, an agent cannot determine whether to pass 'content', 'label', 'labels', or 'input'.

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 'Toxicity Score: Toxicity Score' is a pure tautology; it restates the tool name without adding a verb, resource, or any functional detail. An agent cannot tell what operation is performed or what input produces what result, so it fails to distinguish this from other text-analysis siblings.

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?

The description gives no guidance on when to use this tool, what inputs are appropriate, or how it compares to related tools such as sentiment, profanity-count, formality-score, or bias-detect. There is no context, no prerequisite, and no exclusion, so the agent is left entirely without usage direction.

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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