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minia2a-mcp

x402-find

Find: Semantic search over x402 bazaar. 🆓 5 free trial calls per registered wallet

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoQ to process
limitNoLimit to process
queryNoQuery to process
searchNoSearch to process
keywordNoKeyword to process

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the full disclosure burden. The ' 5 free trial calls per registered wallet' line adds genuine behavioral context — an auth/registration requirement and a call quota. However, it doesn't state whether the operation is read-only, what the response contains, or the cost model beyond the trial, so the disclosure is partial.

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 short sentences with the operation front-loaded and no filler; the free-trial clause carries real quota/auth information rather than marketing fluff. It's appropriately-sized prose, though so minimal that it cannot compensate for the missing parameter guidance elsewhere.

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?

For a tool with 5 ambiguous params, no output schema, and no annotations, the description is under-sufficient: it never explains the return value, which parameter to use, or when to prefer this over sibling search tools. The free-trial line is the only piece of contextual info the schema does't already provide, leaving too much for the agent to infer.

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?

Although schema coverage is 100%, every parameter description is a tautology ('Q to process', 'Limit to process', 'Query to process', 'Search to process', 'Keyword to process') that adds zero meaning. The description does't disambiguate which of q/query/search/keyword to supply, whether they are aliases, or that limit likely expects a numeric count serialized as a string. All five params optional and near-identical leaves call construction to guesswork.

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 operation and resource: 'Semantic search over x402 bazaar,' which distinguishes it from plain-search siblings like x402-search. The leading 'Find:' partially restates the tool name, and 'x402 bazaar' is never defined, so differentiation from siblings like x402-search, x402-token-search, and x402-web-search is incomplete — but the core purpose is recognizable.

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 on when to use this tool vs the many search siblings (x402-search, x402-token-search, x402-web-search, x402-twitter-search). The only extra context, the free-trial call note, is about billing rather than usage. An agent must infer the use case entirely from 'semantic search over x402 bazaar,' with no exclusions or conditions.

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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