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minia2a-mcp

x402-poker-equity

x402-poker-equity: Monte-carlo poker hand equity vs N opponents

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
handNoHand to process
holeNoHole to process
boardNoBoard to process
playersNoPlayers to process
communityNoCommunity to process
opponentsNoOpponents to process
iterationsNoIterations to process

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations, the description must carry the transparency burden, but it only mentions Monte-Carlo, which hints at stochastic approximation. It fails to disclose the output format, whether equity includes ties, or that repeated calls may yield different results—critical for a simulation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short, which is efficient, but it wastes words by repeating the tool name as a prefix. It is too sparse to convey the necessary semantics for a 7-parameter stochastic tool.

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

Completeness1/5

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

A 7-parameter stochastic computation with no annotations and no output schema needs significantly more context than a single clause. Missing are card format conventions, meaning of 'players' vs 'opponents', default iteration behavior, and any description of the returned result.

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 schema has 100% description coverage, though each parameter description is nearly tautological ('Hand to process', 'Hole to process'). The tool description adds minimal context by suggesting 'hand'/'hole' are the player's cards, 'board'/'community' are shared cards, and 'opponents' maps to N, but it doesn't specify card notation, string encoding, or the relationship between 'players' and 'opponents'.

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 clear function: Monte-Carlo poker hand equity versus N opponents, with an identifiable verb (compute) and resource (poker hand equity). It repeats the tool name as a label, which is redundant, and doesn't differentiate it from nearby siblings like x402-poker-hand, but the core purpose is unambiguous.

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 provided on when to use this tool, when not to, or which alternatives exist. The description only defines what the tool does, leaving the agent to infer applicability from the tool name and general context.

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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