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minia2a-mcp

x402-label-encode

Label Encode: Label Encode

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

D1.6/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing. There is no mention of what input it transforms, what mapping it produces (e.g., 0-based integer assignment), or what it returns. This is not a contradiction of annotations — it is simply a complete absence of behavioral information.

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 this is under-specification, not conciseness. The single sentence merely repeats the tool name and earns no value; a genuinely concise description would say something like 'Converts categorical labels into integer indices' in one clause.

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?

With no annotations, an empty input schema, no output schema, and a tautological description, an agent has nothing to determine whether, when, or how to invoke this tool. The failure is particularly acute given the closely related x402-one-hot-encode sibling, which amplifies the need for scoping information the description entirely lacks.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema declares zero parameters and is trivially 100% covered, so the rubric's zero-parameter baseline of 4 applies — there are no parameter details for the description to add. Caveat: the tool clearly operates on categorical data, and neither schema nor description gives an agent any way to understand the input contract, but on the strict parameter-semantics axis the schema leaves nothing undocumented.

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 'Label Encode: Label Encode' is a pure tautology — it restates the tool name and conveys nothing about the operation. It does not state that this converts categorical labels into integer indices, and it gives no signal to distinguish it from the closely related x402-one-hot-encode sibling.

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 alternatives. Given a sibling set that includes x402-one-hot-encode — the obvious alternative encoding method — the description fails to give any routing signal, such as 'use one-hot-encode when category counts are small' or 'use this when ordinal labels are needed.'

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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