x402-connect4-move
x402-connect4-move: Minimax connect-four move (per turn, alpha-beta)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| turn | No | Turn to process | |
| board | No | Board to process | |
| state | No | State to process | |
| player | No | Player to process |
x402-connect4-move: Minimax connect-four move (per turn, alpha-beta)
| Name | Required | Description | Default |
|---|---|---|---|
| turn | No | Turn to process | |
| board | No | Board to process | |
| state | No | State to process | |
| player | No | Player to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that the tool uses minimax and alpha-beta pruning and operates per turn, which is useful behavioral context beyond the name and schema. With no annotations, the description carries more burden, but it still omits important behavior details such as the output format, board representation, and whether state is required or just optional.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded, with no wasted prose beyond the redundant tool-name prefix. It conveys the core algorithm and turn scope in a single concise line.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With four string parameters, no required parameters, and no output schema, the description leaves too much unspecified: exact board encoding, player representation, what 'state' means, and what the returned move looks like. An agent would struggle to know how to format a correct call despite understanding the high-level purpose.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the baseline is 3 even though the description itself adds no parameter-level detail. The schema descriptions are mostly tautological ('Turn to process', 'Board to process') and do not explain expected formats, serialization, or how state/player relate to the board, so the description does not compensate for that ambiguity.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies this as a Connect Four move generator using minimax with alpha-beta pruning, which is specific enough to distinguish it from sibling game-move tools like tictactoe-move, chess-move, and reversi-move. However, it lacks an explicit verb such as 'compute' or 'return', so the action is implied rather than stated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'per turn' gives some context that this tool produces one move at a time for Connect Four, but it never explicitly says when to choose this tool over alternatives. The guidance is mostly implicit from the tool name and game reference, with no exclusion or alternative routing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.