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ChessVox mate-in-1 puzzles

chessvox_mate_rush_puzzles

Fetch batches of 20 mate-in-1 chess puzzles rated 600–1800, each with FEN and UCI winning move, for quick tactic drills or practice position generation.

Instructions

Get a batch of 20 mate-in-1 training puzzles from the ChessVox Brain Arcade pool (https://chessvox.com/arcade), player ratings 600–1800. Each puzzle has a FEN and its winning move in UCI. Ideal for quick tactic drills or generating practice positions.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses batch size, rating range, source pool, and that each puzzle includes a FEN and UCI winning move. However, it does not state whether batches are random or repeatable, how the 600–1800 rating range is sampled, or any rate-limit/caching behavior, leaving meaningful gaps 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.

Conciseness5/5

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

The description is tightly structured and front-loaded with the core action and scope. Every sentence adds relevant information: source pool, rating range, returned fields, and typical use. There is no filler or repetition.

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

Completeness4/5

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

For a zero-parameter retrieval tool with no output schema and no annotations, the description supplies the essential context: batch size, rating range, source, and the shape of each puzzle. It is nearly complete, though additional notes on randomization, repetition, or exact return structure would make it fully self-contained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero input parameters, so parameter semantics are inherently simple and the baseline is 4. There are no parameters for the description to explain, and the schema is complete for a no-argument call.

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 specific verb and resource: get a batch of 20 mate-in-1 training puzzles from the ChessVox Brain Arcade pool. It clearly identifies the puzzle type, batch size, rating range, and returned fields. Sibling tools are not explicitly mentioned, so it falls just short of full sibling differentiation.

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 intended use cases: quick tactic drills or generating practice positions. It does not explicitly contrast this tool with chessvox_daily_puzzle or chessvox_starter_repertoires, and it provides no when-not-to-use guidance. Still, the usage context is clear enough for an agent to select it appropriately.

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