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runSweepStudy

Explore circuit behavior by running stepped or Monte-Carlo parameter studies on LTspice simulations, returning aggregate metrics for analysis.

Instructions

Run stepped or Monte-Carlo parameter studies and return aggregate metrics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
parameterYes
modeNostep
netlist_pathNo
netlist_contentNo
circuit_nameNosweep_study
valuesNo
startNo
stopNo
stepNo
samplesNo
nominalNo
sigma_pctNo
distributionNogaussian
metric_vectorNoV(out)
metric_statisticNofinal
timeout_secondsNo
ascii_rawNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so description must fully disclose behavior. It mentions 'return aggregate metrics' but does not specify side effects, destructiveness, or performance characteristics. Lacks detail on what state changes occur.

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 one sentence of 11 words, very concise. However, for a complex tool with many parameters, the brevity sacrifices necessary detail.

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?

Despite having an output schema (which covers return values), the description omits critical context like parameter relationships, mode differences, and usage examples. It is incomplete for a 17-parameter tool.

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 provides no explanation for the 17 parameters. It does not add any meaning beyond the schema, which is insufficient.

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 the tool runs stepped or Monte-Carlo parameter studies and returns aggregate metrics. It specifies the verb 'run' and the resource 'parameter studies', and distinguishes modes. This distinguishes it from sibling tools like runSimulation.

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?

No guidance on when to use this tool versus alternatives such as runSimulation or runMeasAutomation. It does not explain conditions for choosing stepped vs Monte-Carlo mode or prerequisites.

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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