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Boggle Board Generator

BoggleBoardGenerator
Read-only

Boggle Board Generator: Boggle Board Generator creates random Boggle game boards with authentic dice configurations, HTML rendering, and downloadable PNG images. (Cost: 2 credits)

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": "BoggleBoardGenerator"
  }
}

Input Schema

NameRequiredDescriptionDefault
sizeNoBoard size
imageNoSet to true to generate a downloadable board image

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

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds genuinely non-derivable behavior: the randomness model ('authentic dice configurations'), the output modalities (HTML rendering, downloadable PNG), and a per-call cost of 2 credits, which is important for an agent managing a budget. It stops short of describing pagination, response shape, or whether HTML is always returned.

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?

The definition is short and the most decision-relevant facts (what it generates, image option, credit cost) appear early. The leading duplicate of the title is the one clear piece of dead weight, but the rest is efficient.

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?

With an output schema present and annotations covering the safety profile, the description need not explain return values. It covers the generation model, output formats, and cost adequately for a two-optional-parameter tool; only the interaction between size and rendered image is left implicit.

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%, with both parameters documented inline, so the schema carries the burden and a baseline 3 is appropriate. The description adds only a loose mapping ('downloadable PNG images' implying the image flag) and says nothing about how 'size' affects board shape or valid values beyond the default of 4.

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 uses a specific verb and resource ('creates random Boggle game boards') and adds distinguishing detail (authentic dice configurations, HTML rendering, downloadable PNGs), which separates it from adjacent generators like BingoCardGenerator or WordSearchGenerator. It loses a point only for opening with a redundant restatement of the tool name ('Boggle Board Generator: Boggle Board Generator creates...').

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 versus similar generator siblings, and no stated preconditions or exclusions. The only usage-relevant signal is the credit cost, which tells the agent about expense but not about selection.

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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