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minia2a-mcp

x402-price-screener

x402-price-screener: multi-exchange price aggregation: BTC/ETH/SOL across coingecko+binance+kraken+coinbase, best/worst/avg/spread

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
coinNoCoin to process
symbolNoSymbol to process

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations at all, the description must explain behavior itself. It does disclose the core behavior — aggregating from multiple exchanges and producing best/worst/avg/spread metrics — which is useful. But it does not mention data freshness, latency, failure behavior, or that the operation is read-only, leaving significant behavioral gaps.

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 entire description is one dense sentence that packs in sources, assets, and output metrics without wasted words. The only flaw is starting with 'x402-price-screener:' which repeats the tool name, but this is a minor redundancy rather than a structural problem.

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?

The tool has no output schema and no annotations, so the description is the sole source of operational context. It does not explain the parameters' relationship, whether both can be provided, what happens if neither is provided, or the format of the returned aggregation. This makes confident invocation difficult despite the clear purpose.

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?

The input schema describes both parameters as 'to process', which is vague but counts as 100% coverage. The description adds helpful context by implying supported values (BTC/ETH/SOL), but it does not clarify the difference between 'coin' and 'symbol', whether either is required, or what value formats are expected. It provides some value beyond the schema but leaves key ambiguity.

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 function — multi-exchange price aggregation — with explicit resources (BTC/ETH/SOL), sources (coingecko, binance, kraken, coinbase), and computed outputs (best/worst/avg/spread). This clearly distinguishes it from sibling price tools like x402-crypto-price, x402-token-price, or x402-dex-price, even without naming them directly.

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

Usage Guidelines4/5

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

The description gives clear context for when the tool is appropriate: when a user needs cross-exchange aggregated prices for BTC/ETH/SOL rather than a single price quote. However, it does not explicitly state exclusions or name alternative tools, so it stops short of full when/when-not 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.

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