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LGDiMaggio

mcp-server-mcsa

by LGDiMaggio

generate_test_current_signal

Generate synthetic motor-current waveforms to test MCSA analysis tools, with optional injection of faults such as broken rotor bars, eccentricity, and bearing defects.

Instructions

Generate a synthetic motor-current test signal.

Creates a simulated stator-current waveform with the fundamental, supply harmonics, noise, and optional fault signatures. Useful for testing, validation, and demonstration of MCSA analysis tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
duration_sNoSignal duration in seconds
sampling_freq_hzNoSampling frequency in Hz
supply_freq_hzNoSupply frequency in Hz
polesNoNumber of poles
rotor_speed_rpmNoRotor speed in RPM
noise_levelNoNoise standard deviation (0-1 relative)
faultsNoFaults to inject: 'brb', 'eccentricity', 'bearing'. Omit for healthy signal
fault_severityNoFault component amplitude (0-1 relative)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries burden. Mentions waveform components but omits behavioral details like output format (handled by output schema), randomness, or performance. Adequate but not comprehensive.

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 concise sentences, front-loaded purpose, no redundancy. Efficiently conveys essential information.

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?

With 8 optional parameters and an output schema, description covers signal components. Could mention output structure briefly, but overall sufficient for the task.

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 coverage is 100%, baseline is 3. Description adds overall context but does not elaborate on individual parameters beyond schema defaults. No added semantic value.

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 verb 'generate' and resource 'synthetic motor-current test signal', specifying components (fundamental, harmonics, noise, optional faults). Distinct from sibling analysis tools.

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?

States usefulness 'for testing, validation, and demonstration of MCSA analysis tools', providing clear context. Lacks explicit when-not-to-use or alternatives, but sufficient given siblings.

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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