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minia2a-mcp

x402-is-rgb

Is Rgb: Validate an RGB color string like rgb(255,0,0) with each channel 0-255. Provide value.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

B3.4/5.0
Behavior3/5

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. It does disclose the validation criteria (RGB format and 0-255 channel range), but it does not state the return type (e.g., boolean), whether the check is strict, or how it handles cases like whitespace, uppercase, or RGBA strings. This is a modest but incomplete behavioral description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the core purpose and format specification. The redundant 'Is Rgb:' prefix and the vague 'Provide value' sentence keep it from being fully polished, but overall it is appropriately sized and readable.

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?

Despite being a simple validator, the description is incomplete for actual invocation: the schema has no parameters, so the input mechanism is unclear, and there is no mention of the return value or edge-case handling. The description also fails to route the agent toward sibling tools for related formats such as RGBA. This leaves critical gaps for an agent trying to call the 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 input schema is an empty object, yet the description says 'Provide value,' implying a required input that is not defined in the schema. The example format and range add meaning, but without a parameter name or property the agent cannot reliably pass the value to validate. This is a significant semantic mismatch between the description and the schema.

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

Purpose5/5

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

The description states a specific verb ('Validate') and a specific resource ('RGB color string'), and adds a concrete format example ('rgb(255,0,0)') with channel range 0-255. This clearly separates it from siblings like x402-is-rgba and x402-rgb-to-hex. The purpose is unambiguous despite the minor 'Provide value' ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the use case: validate an RGB color string. However, it does not explicitly say when not to use it, nor does it compare with alternatives like x402-is-rgba or x402-validate-hex-color. The instruction 'Provide value' is present but the empty input schema makes it unclear how the value is actually supplied, which weakens the usage guidance.

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.

Resources