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islobodan

Crucher MCP

std_dev

Read-onlyIdempotent

Calculate the standard deviation of a set of numbers. Choose between sample (n-1) or population (n) standard deviation.

Instructions

Sample standard deviation (n-1). Set population: true for population (n).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numbersYes
populationNo
Behavior4/5

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

Annotations already indicate readOnly, non-destructive, idempotent. The description adds behavioral context about the formula used (n-1 vs n) and the role of the population parameter, going beyond annotations.

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?

Two sentences, front-loaded with the core purpose and immediate parameter explanation. No wasted words.

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

Completeness5/5

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

For a simple statistical function with clear annotations and no output schema needed (return value is a single number), the description is complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema description coverage, the description clearly explains the meaning of both parameters: numbers (the data array) and population (boolean switch between sample and population formula).

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 it computes sample standard deviation with n-1, and explains the population parameter for population standard deviation with n. This is specific and distinguishes it from sibling tools like variance.

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 guidance on when to set population=true vs false, but does not explicitly mention when not to use this tool or mention alternatives.

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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