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minia2a-mcp

x402-ua-parse

x402-ua-parse: Parse User-Agent string. FREE utility. 🆓 5 free trial calls per registered wallet

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uaNoUa to process
inputNoInput to process
userAgentNoUserAgent to process

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations present, the description carries the full burden. It does disclose meaningful operational context: 'FREE utility' and '5 free trial calls per registered wallet,' which signals cost/registration constraints. However, it says nothing about output format, error behavior on malformed User-Agent strings, or whether the three input parameters are interchangeable.

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 verb+resource in the first sentence and the free-trial context following immediately. The tool-name prefix is mildly redundant since TITLE is null, but it functions acceptably as a title. Every sentence earns its place.

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?

There is no output schema and no annotations, so the description must compensate. It does not state what the parse result contains (browser, OS, device), does not disambiguate the three optional parameters, and does not explain wallet registration requirements beyond the 5-call trial. An agent cannot fully determine correct invocation or result interpretation.

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?

Schema coverage is 100%, but each parameter description is tautological ('Ua to process,' 'Input to process,' 'UserAgent to process') and adds no real meaning. The tool description does add the semantic that all inputs are User-Agent strings, which helps. However, it fails to clarify whether ua, input, and userAgent are aliases or which one an agent should prefer.

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 states a specific verb and resource: 'Parse User-Agent string.' This is unambiguous about what the tool does. It loses a point because there is a near-identical sibling named x402-ua-parser that is not differentiated, and nothing distinguishes this from the hundreds of other parse utilities 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 the nearly identical sibling x402-ua-parser, nor any context about when User-Agent parsing is appropriate. The free-trial note hints at cost implications but provides no usage direction.

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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