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minia2a-mcp

x402-rps-strategy

x402-rps-strategy: Markov-chain RPS strategy from opponent history

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoN to process
orderNoOrder to process
historyNoHistory 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 and no output schema, the description carries the full disclosure burden. It reveals the algorithm family (Markov chain) but says nothing about the return value, the expected encoding of opponent history, behavior with insufficient history, or determinism. This is a substantial gap for an unannotated tool.

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 a single compact sentence that front-loads the core idea. The only waste is the redundant 'x402-rps-strategy:' prefix, which repeats the tool name verbatim before the actual content.

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 3-parameter tool with no annotations, no output schema, and no enums, the description leaves critical gaps: the return contract, the required format of history, the meaning of n and order, and how the three parameters interact. All parameters are optional per context signals, yet the description does not explain what happens if history is omitted.

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?

Schema coverage is 100%, but the parameter descriptions are tautologies ('N to process', 'Order to process', 'History to process') that merely restate the parameter names. The tool description adds only one useful clarification — that history refers to the opponent's history — while n and order remain cryptic; the agent cannot determine that order likely refers to Markov chain order.

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 identifies the resource (RPS strategy), the method (Markov-chain), and the data source (opponent history), making its domain clear against the huge sibling list. However, there is no explicit verb — the agent must infer whether the tool returns a move, a strategy policy, or probabilities — and no stated output form.

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?

The phrase 'from opponent history' weakly implies when the tool applies, but there is no explicit when-to-use guidance, no exclusions, and no mention of alternatives among the many game-strategy siblings (e.g., x402-tictactoe-move, x402-chess-move, x402-connect4-move). An agent has no basis for routing between this and related tools.

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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