Skip to main content
Glama

minia2a-mcp

x402-reversi-move

x402-reversi-move: Reversi/Othello move (minimax alpha-beta)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
turnNoTurn to process
boardNoBoard to process
playerNoPlayer to process

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the burden of explaining behavior. 'minimax alpha-beta' hints at the computation method, but does not clarify whether it returns the best move coordinates, a board state, or something else. Does not mention depth limits, what happens with invalid moves, or whether it mutates state.

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: the name is repeated once, then a parenthetical adds the algorithm. No wasted words, but it is more of a label plus algorithm hint than a full usage explanation.

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 game-solving tool with no annotations and no output schema, the description is incomplete. It does not describe the expected board string format, the move output format, whose turn is being processed, or the role of 'player'. An agent has enough to know this is an Othello move solver but not enough to invoke it reliably.

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 generic: 'Turn to process', 'Board to process', 'Player to process'. These are minimally meaningful and do not explain board format, turn semantics, or player values. The description does not compensate by defining board notation or what values 'turn' and 'player' take.

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 says 'Reversi/Othello move (minimax alpha-beta)', identifying a specific verb/resource and algorithm. It's clear it computes a move for a Reversi/Othello game, although it doesn't explicitly discuss scope or how it differs from similar game-move siblings like x402-chess-move, x402-connect4-move, x402-tictactoe-move.

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?

There is no guidance on when to use this tool versus alternatives. The sibling list contains many other game-move tools, so the agent needs to infer that Reversi/Othello is the distinguishing use case. Does not state expected inputs formats, side effects, or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources