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Eurobertics

mcp-rpg-worldstate

by Eurobertics

Generate neutral random integers

random_numbers
Read-only

Generate random integers within a specified range to make unbiased narrative decisions, choose any min/max and optional count, without needing a dice system.

Instructions

Generate random integers for unbiased narrative decisions. This is not a rules or dice system.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxYes
minYes
countNo
Behavior3/5

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

The readOnlyHint annotation already signals that this is a safe read-only operation. The description adds useful context about neutrality and narrative use, but it does not disclose behavioral details such as whether min and max are inclusive, how count affects the result, or what distribution is used.

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 two short sentences with no filler. The primary action is front-loaded, and the boundary-setting exclusions are concise.

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?

The tool is simple and read-only, so the description covers the core purpose well. However, the lack of output schema and parameter semantics leaves some ambiguity about return shape and bound inclusivity, making it adequate but not fully complete.

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?

The description provides no explanation of the min, max, or count parameters. With 0% schema description coverage, the description was expected to clarify bounds inclusivity and count behavior, but it does not; it relies entirely on the self-explanatory property names.

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

Purpose5/5

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

The description clearly states the verb ('Generate'), the resource ('random integers'), and the intended use case ('unbiased narrative decisions'). The second sentence explicitly distinguishes it from rules or dice systems, which removes ambiguity about its role.

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 provides a clear when-to-use signal: unbiased narrative decisions. It also gives an explicit when-not-to-use signal by stating it is not a rules or dice system, though it does not name a specific alternative tool.

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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