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Word Scramble Generator

WordScrambleGenerator
Read-only

Word Scramble Generator: Word Scramble Generator is a scramble word API that creates puzzles where players unscramble letters to form words, returning each scrambled sequence with its answer and letter count. (Cost: 1 credit)

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "WordScrambleGenerator"
  }
}

Input Schema

NameRequiredDescriptionDefault
countNoNumber of puzzles
imageNoSet to true to generate a downloadable puzzle image
difficultyNoDifficulty level (affects word length)medium

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 non-annotation context in the stated cost of 1 credit, and restates the return contents. It says nothing about limits on `count`, whether randomness is seeded, or how image output is delivered.

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?

A single sentence with the cost tag appended – efficient and front-loaded. The only waste is the redundant restatement of the tool name at the start, which repeats the title verbatim.

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

Completeness3/5

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

With an output schema present, return values needn't be explained, and the credit cost is a nice addition. However, for a puzzle generator sitting among many near-identical siblings, the description omits any positional guidance on when this tool is the right pick, leaving a meaningful gap.

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 description coverage is 100%, so all three parameters (count, image, difficulty) are already documented, including that difficulty affects word length. The description adds no parameter-level meaning beyond the schema, so the 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?

The description names a specific verb and resource (creates word-scramble puzzles) and states what each result contains: scrambled sequence, answer, and letter count. It doesn't explicitly distinguish itself from close siblings like AnagramPuzzleGenerator, WordSearchGenerator, or BoggleBoardGenerator, which keeps it from a 5.

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 choose this over the many other word/puzzle generators in the sibling list. The description is pure capability statement with no conditions, exclusions, or alternatives named.

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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