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minia2a-mcp

x402-color-blend

Color Blend: Color Blend

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. It does not say what inputs it consumes, what blending operation is performed, what the output format is, or whether it is a pure function. A color-blend tool that reveals no behavioral contract is completely opaque to an agent.

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?

Five words with zero informational content is under-specification, not conciseness. Like the calibration example 'Process', this text is too short to be considered efficient — it earns no credit for brevity because there is no substance being conveyed efficiently.

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 0 parameters, no output schema, no annotations, and a tautological description, a color-blend tool has no disclosed input format, color space, blend mode, or return contract. An agent has no way to invoke this tool correctly or interpret its result. This is completely inadequate for even a trivial utility.

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 input schema has 0 parameters, so there are no parameter semantics for the description to clarify; per the rubric, 0 params earns a baseline of 4. That said, the empty schema is itself suspicious for a blend operation that should logically accept colors, but the description receives no penalty for failing to document parameters that do not exist.

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 'Color Blend: Color Blend' is a pure tautology — it restates the tool name verbatim as both title and body. It contains no verb, no resource clarification, and no scope. An agent cannot tell whether this blends two colors, blends a color with white/black, or mixes palettes, nor can it distinguish this from the many color siblings (x402-color-shade, x402-color-tint, x402-color-converter, x402-complementary).

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 zero guidance on when to use this tool versus any of the ~20 color-related siblings (x402-color-blend vs x402-color-converter, x402-color-palette, x402-hex-to-rgb, etc.). No use cases, no exclusions, no alternative routing. The agent is left to guess from the name alone.

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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