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minia2a-mcp

x402-int-to-ip

Int To IP: Convert int to ip.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

B3/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It only says 'Convert int to ip' and omits key behavioral details such as whether the result is IPv4 or IPv6, the expected input range, invalid-input handling, or the output string format. This is insufficient for allowing an agent to anticipate behavior.

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 very compact and front-loaded with the core operation. The only structural waste is the redundant 'Int To IP:' prefix, which repeats the tool name and the sentence that follows. Still, it is appropriately short for a simple conversion tool.

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?

Even though the tool is conceptually simple, the description plus empty input schema is not enough for reliable invocation. There is no declared parameter for the integer, no output schema, and no mention of IP version or return form. An agent would not know how to pass input or what exact result to expect.

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 is empty with 0 params, so there are no schema descriptions for the tool description to supplement; per the rubric, this is a baseline-4 case. The description does name what input is conceptually being transformed, though it still leaves unspecified how the integer would actually be provided to the tool.

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

Purpose4/5

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

The description clearly states a conversion action: 'Convert int to ip.' It names the source (int), target (ip), and verb (convert), so the purpose is not vague. However, it essentially restates the tool name and does not differentiate the tool from its inverse x402-ip-to-int or related networking tools, so it doesn't earn a 5.

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 usage guidance is provided. The description does not mention when to prefer this tool over x402-ip-to-int, x402-cidr, or IP-validation siblings, nor does it state any exclusions. An agent could only infer usage from the tool name itself.

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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