Skip to main content
Glama

renderLtspiceSchematicImage

Render LTspice schematics (.asc) as images. Adjust width, height, and downscale factor for desired output size.

Instructions

Render an LTspice schematic (.asc) to an image and return it through MCP.

downscale_factor lets clients request smaller rendered images.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asc_pathYes
output_pathNo
widthNo
heightNo
downscale_factorNo
settle_secondsNo
include_symbol_graphicsNo
lib_zip_pathNo
render_session_idNo
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. It only states the basic operation and mentions downscale_factor. There is no information about side effects (e.g., file creation), required permissions, or what happens to the schematic file. The tool likely returns an image via MCP, but this is vague.

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

Conciseness4/5

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

The description is concise (two sentences) and front-loaded with the tool's purpose. However, given the complexity (9 parameters), it could be more structured to include parameter groupings. Still, it avoids redundancy and unnecessary text.

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?

For a tool with 9 parameters, no annotations, and no output schema, the description is incomplete. It does not explain required path semantics, optional output_path, dimensions, settle_seconds, or other settings. The agent would need to infer or experiment, which is insufficient for correct invocation.

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

Parameters2/5

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

Schema coverage is 0%, yet the description explains only one parameter (downscale_factor). The other 8 parameters (asc_path, output_path, width, height, etc.) are not described at all. The description fails to compensate for the lack of schema descriptions, leaving most parameters unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Render an LTspice schematic (.asc) to an image', specifying the verb and resource. It implicitly distinguishes from sibling rendering tools (e.g., for plots or symbols) by mentioning the .asc file extension. However, it does not explain how the image is returned (e.g., inline data vs. resource URI), leaving some ambiguity.

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 is provided on when to use this tool versus alternatives like renderLtspicePlotImage or other rendering tools. There is no mention of prerequisites, constraints, or use cases. The description only mentions one parameter (downscale_factor) but no context for when to choose this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/xuio/ltspice-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server