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x402-mastermind

Mastermind: Bulls/cows guessing game logic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
opNoOp to process
codeNoCode to process
guessNoGuess to process
actionNoAction to process
digitsNoDigits to process
lengthNoLength to process
secretNoSecret to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / length
      Added value: +{
      +  "description": "Length to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

C2.1/5.0
Behavior1/5

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, and it discloses nothing: not whether the tool is stateful, whether a secret is generated or supplied, what the op/action dispatch values are, or whether it is a pure computation. For a seven-parameter tool with zero annotation coverage this is a serious gap.

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?

It is a single short, front-loaded sentence with no padding, so there is no bloat to penalize. The problem is under-specification rather than verbosity, which caps it at adequate.

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

Completeness1/5

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

For a seven-parameter, likely multi-operation tool with no annotations, no output schema, and vacuous parameter descriptions, the description is far too thin. Nothing an agent needs to invoke it correctly is present.

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 nominal only — every property description is a tautology ('Op to process', 'Code to process', 'Secret to process'). The tool description adds nothing to explain what op or action values exist or how code/guess/digits/length/secret relate to them, leaving all seven parameters semantically empty.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource (Mastermind, bulls/cows) but stops at 'logic', which does not say what the tool actually computes — generate a secret, score a guess, validate a code, or something else. With seven operation-flavored parameters (op, action, code, guess, secret), the single noun 'logic' leaves the actual verb ambiguous.

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 guidance, no mention of alternatives such as x402-guess-number, and no indication of what conditions select this tool. An agent has only the game name to go on.

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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