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minia2a-mcp

x402-from-hex

From Hex: Convert a hexadecimal string to a decimal integer. Provide value as hex (e.g. 'ff'); returns the decimal number.

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 disclosure burden. It does state the core input→output contract (hex string in, decimal number out) and gives a lowercase example, but it is silent on edge-case behavior such as '0x' prefix handling, case sensitivity, error behavior for invalid hex, and magnitude limits beyond safe integer range.

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?

Two sentences totaling roughly 25 words, with the core conversion front-loaded ahead of the example. The only flaw is mild redundancy: 'returns the decimal number' restates the first sentence's conversion, and 'Provide value as hex' repeats 'hexadecimal string'.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple pure conversion function, the essential direction and input format are covered. But the empty schema leaves the invocation mechanism unexplained despite the description telling the agent to provide a value, and with no annotations or output schema, unaddressed edge cases (prefix, case, invalid input, bounds) leave the description incomplete.

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

Parameters3/5

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

With zero parameters the baseline is 4, and the description does add format guidance with the example ('ff'). However, the instruction to 'Provide value as hex' implies a parameter that the empty input schema ({}) does not define, so an agent cannot determine how the value is actually passed. This mismatch between description and schema diminishes the value.

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 opens with a specific verb and resource — 'Convert a hexadecimal string to a decimal integer' — and reinforces it with an example ('ff') and an explicit result type ('returns the decimal number'). The direction and output format are unambiguous, making it easy to distinguish from reverse-direction siblings like x402-to-hex and decode/format variants in the sibling list.

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?

No guidance is given on when to use this tool versus alternatives. It never names the obvious sibling x402-to-hex (the reverse conversion), nor related tools like x402-hex-decode, x402-from-binary, or x402-from-octal, and states no exclusions. An agent must infer routing purely from the naming convention.

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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