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autoDebugSchematic

Iteratively validate, simulate, and apply targeted fixes to LTspice schematics until they run successfully or stall.

Instructions

Iteratively validate, simulate, and apply targeted fixes to a schematic until it runs or stalls.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asc_pathYes
max_iterationsNo
ascii_rawNo
timeout_secondsNo
show_uiNo
open_raw_after_runNo
auto_fix_preflightNo
auto_fix_runtimeNo
auto_import_modelsNo
auto_fix_convergenceNo
model_search_pathsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description must cover behavioral traits. It describes the iterative loop of validation, simulation, and fixing, which reveals key behavior. However, it does not disclose side effects, permissions, or detailed failure modes, making it adequate but not rich.

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?

The description is a single sentence that front-loads the core action and condition. Every word contributes value with no waste. It is concise and well-structured.

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 the tool's complexity (11 parameters, many siblings, iterative behavior), the description is too minimal. It lacks details on input/output, parameter roles, usage scenarios, and differentiation from other debugging tools. The presence of an output schema does not compensate for the lack of behavioral and parameter explanation.

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%, so the description must compensate, but it provides no parameter-level details. There are 11 parameters (e.g., 'auto_fix_preflight', 'model_search_paths') with no explanation of their meaning or effect. This is a critical gap.

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's purpose: iteratively validate, simulate, and apply fixes to a schematic until it runs or stalls. This verb+resource combination is specific and distinguishes it from siblings like 'lintSchematic' or 'validateSchematic' which do not automatically apply fixes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for automatic debugging but provides no explicit when-to-use, when-not-to-use, or alternative tools. Given many sibling tools (e.g., 'simulateSchematicFile', 'lintSchematic'), more guidance would be beneficial, but the context is clear enough.

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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