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ozwei

LM Studio MCP Bridge

by ozwei

lms_import

Import a .gguf model file into LM Studio by providing its path to make the model available for local interaction.

Instructions

CLI: Import a model file into LM Studio.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesPath to the model file (.gguf).
Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavioral traits. It only states 'Import a model file' without explaining side effects, permissions, the fate of the original file, or what 'import' entails within LM Studio, leaving significant behavioral ambiguity.

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 with no redundant words. It is front-loaded and appropriately sized for a tool with one parameter, earning maximum points for conciseness.

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?

The tool is simple with no output schema and no annotations, but the description is insufficiently complete. It does not mention prerequisites, expected outcomes, or clarify the distinction from sibling tools like lms_load_cli, leaving the agent with incomplete context.

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?

The schema provides 100% coverage for the only parameter 'path', describing it as 'Path to the model file (.gguf).' The description adds no additional parameter semantics beyond what the schema already states, so the baseline score of 3 is appropriate.

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 the tool imports a model file into LM Studio, using a specific verb and resource. However, it does not differentiate from sibling tools like lms_load_cli, which also handles models, so it lacks explicit sibling differentiation.

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. It does not mention any exclusions, prerequisites, or compare with sibling tools such as lms_load_cli or lms_ls.

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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