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Chess Move Validator

ChessMoveValidator
Read-only

Chess Move Validator: Chess Move Validator verifies algebraic chess notation and identifies move types including castling, captures, checks, and promotions. (Cost: 2 credits)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "move": "<move>"
    },
    "name": "ChessMoveValidator"
  }
}

Input Schema

NameRequiredDescriptionDefault
moveYesChess move in algebraic notation

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds genuinely useful context the annotations lack: a cost of 2 credits per call. It does not, however, clarify whether validation is purely notational (SAN syntax) or checks legality against a board state, which materially changes how an agent should use it.

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 body is a single efficient sentence, but the leading "Chess Move Validator: Chess Move Validator" duplicates the title and name verbatim, wasting the front-loaded position on the least informative text. The cost note is useful but appended in parentheses rather than integrated.

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?

An output schema exists, so the description need not explain return values, and the cost disclosure plus the enumerated move types give an agent enough to call it correctly. The remaining gap — not stating whether validation is against notation only or a given position — is modest for a one-parameter, read-only tool.

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?

Schema coverage is 100% and the single parameter is documented with an example ("Nf3"), so the schema carries the parameter burden. The description echoes "algebraic chess notation" without adding format detail such as SAN vs LAN or whether suffixes like '+' or '#' are accepted; baseline 3 applies.

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?

"Verifies algebraic chess notation and identifies move types including castling, captures, checks, and promotions" gives a specific verb (verifies) and resource (chess move in algebraic notation) plus the extracted attributes. It is unambiguous and no sibling tool overlaps with chess moves, though the opening "Chess Move Validator: Chess Move Validator" restates the title before any substance.

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 when-to-use or when-not-to-use guidance and no named alternative. An agent must infer that this tool is for checking whether a written move string is well-formed, rather than for analyzing positions or generating moves, which is not stated.

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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