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CalcBright Calculators

Random Number Generator

random_number_generator
Read-onlyIdempotent

Draw one number or up to 1,000 from any range – whole or decimal, with or without repeats. Useful for raffles, lottery picks, dice rolls and classroom draws. Web page: https://calcbright.com/random-number-generator

Input Schema

NameRequiredDescriptionDefault
maxNoMaximum
minNoMinimum
kindNoTypeinteger
sortNoOrdernone
countNoHow many numbers
uniqueNoAllow duplicates?no
decimalsNoDecimal places

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and idempotentHint=true, so the safety profile is covered. The description adds useful capability context such as range, count up to 1,000, whole/decimal output, and repeat behavior, but it does not explain randomness quality, seeding, return shape, or retry behavior. With annotations carrying the safety burden, this is adequate but not rich.

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 description is front-loaded and efficient, leading with the core action and scope before giving examples. The trailing web page URL does not help an agent select or invoke the tool, but it adds only minor noise. Overall structure is strong.

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?

For a seven-parameter tool with full schema descriptions and read-only annotations, the description covers the main operation and output quantity. It does not explain sort or decimal-place behavior, but those are documented in the schema, and no output schema exists to require return-value explanation. It is complete enough for correct invocation.

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 the schema already documents all seven parameters. The description restates some of those semantics in natural language, such as count up to 1,000, range, whole/decimal kind, and repeats, but adds no syntax or format guidance beyond the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

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 states a specific verb and resource: draw one number or up to 1,000 random numbers from any range. It also specifies key capabilities such as whole or decimal values and repeats, making the tool's purpose immediately clear. The sibling list contains calculators and utilities, but no close alternative that would cause ambiguity.

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 gives clear usage contexts: raffles, lottery picks, dice rolls, and classroom draws. It does not explicitly state when to avoid this tool or name an alternative, but the intended scenarios are concrete enough for an agent to recognize appropriate use.

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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