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create_periodic_amplitude

Define a periodic (Fourier series) amplitude to apply cyclic loading in Abaqus by setting frequency, start time, and maximum amplitude.

Instructions

Create a periodic (Fourier series) amplitude.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
a0No
nameYes
timeoutNo
frequencyYes
model_nameNoModel-1
start_timeYes
max_amplitudeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits on its own. It only says 'Create', which implies a mutation/resource creation side effect, but it does not explain whether it appends to a model, modifies existing state, requires a loaded model, or what effects it may have. With zero annotation coverage and no extra context, this is inadequate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the core action, which is good, but it is too sparse to be considered appropriately sized. It needs at least some usage or parameter context to earn its place as a useful tool description.

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

Completeness2/5

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

Given that this tool has 7 parameters, 4 required, no annotations, and no schema descriptions, the single-sentence description is far from complete. An output schema may cover return values, but the description still fails to explain required inputs, semantics, defaults, or when this amplitude type is appropriate.

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

Parameters1/5

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

Schema description coverage is 0%, and the description adds no meaning to the seven parameters, including key ones like a0, frequency, start_time, and max_amplitude. An agent cannot infer parameter roles or units from 'periodic (Fourier series)' alone. This is a complete failure to compensate for the schema's lack of descriptions.

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: 'Create a periodic (Fourier series) amplitude.' The parenthetical 'Fourier series' clearly distinguishes this tool from its amplitude-creation siblings like create_tabular_amplitude and create_smooth_step_amplitude. An agent can tell what is being created.

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?

The description gives no guidance on when to use this tool versus the many other amplitude creators, nor does it mention any exclusions or alternatives. The word 'periodic' weakly implies a use case, but there is no explicit when-to-use or when-not-to-use information.

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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