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IBM

Physics MCP Server

by IBM

calculate_angular_acceleration

Calculate angular acceleration from torque and moment of inertia. Use for rotational motion analysis of motors and flywheels.

Instructions

Calculate angular acceleration: α = τ / I.

Angular acceleration is the rotational equivalent of linear acceleration.
Determined by net torque and moment of inertia.

Args:
    torque: Torque magnitude in N⋅m
    moment_of_inertia: Moment of inertia in kg⋅m²

Returns:
    Dict containing:
        - angular_acceleration: α in rad/s²

Tips for LLMs:
    - Rotational version of F = ma → τ = Iα
    - Larger I means slower angular acceleration for same torque
    - Use for: motor acceleration, spinning up flywheels

Example - Motor accelerating a wheel:
    result = await calculate_angular_acceleration(
        torque=10.0,  # N⋅m
        moment_of_inertia=0.5  # kg⋅m²
    )
    # α = 20 rad/s²

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
torqueYes
moment_of_inertiaYes
Behavior4/5

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

No annotations provided, but the description fully explains the tool as a pure calculation with no side effects. It clearly states inputs, formula, and output. Lacks mention of edge cases or potential errors (e.g., zero moment of inertia).

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?

Well-structured with sections: formula, description, args, returns, tips, example. Front-loaded with key formula. Every sentence adds value; no redundancy.

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?

Given only two numeric parameters and no output schema, the description fully explains input semantics, output format, and provides an example. Tips add educational value. Complete for the tool's simplicity.

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?

Input schema has 0% coverage for descriptions, but the description compensates by providing units ('N⋅m', 'kg⋅m²') and an example with concrete values, adding meaning beyond the bare schema.

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?

Description clearly states 'Calculate angular acceleration' with formula α = τ / I, using specific verb and resource. It distinguishes from siblings like 'calculate_torque' and 'calculate_momentum' by focusing on rotational dynamics.

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?

Provides explicit usage context: 'Use for: motor acceleration, spinning up flywheels' and includes an example. However, it does not mention when not to use or contrast with alternatives like 'calculate_torque' or 'calculate_angular_momentum'.

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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