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didou92i

lmstudio-local

by didou92i

lm_profiles

Save, load, list, or delete named model configurations to reuse settings across sessions. Load verifies postconditions for reliable configuration.

Instructions

Save/reuse named model configurations in this project. load uses the SDK with postcondition verification.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
modelNo
actionYes
configNo
instance_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.1.0

TDQS

C2.2/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false, destructiveHint=false, openWorldHint=false, so the agent knows this mutates local state. The description adds nothing about what save/delete actually do, whether delete is reversible, or what persists. With 4 actions including a destructive-sounding 'delete' (yet destructiveHint=false), the description should clarify but doesn't.

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?

Very short (two sentences), so no bloat, but it is under-specified rather than concise. The second sentence is oddly scoped to one action out of four rather than front-loading the overall behavior.

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?

A 5-parameter, multi-action mutation tool with 0% schema coverage, no output schema, and only two thin sentences of description. Essential context about each action, parameter roles, and persistence/verification behavior is missing.

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 explains none of the 5 parameters. The only enum (action) has four values whose meaning (list/save/load/delete) is left entirely to inference, and name/model/config/instance_id receive no explanation in either schema or description.

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

Purpose3/5

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

States the general purpose (save/reuse named model configurations) with a specific verb+resource, but the second sentence about 'load' is confusing and the description never explains the multi-action 'action' enum (list/save/load/delete). It doesn't clearly distinguish this from siblings like lm_model_config or lm_load.

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 when-to-use or when-not-to guidance, no mention of alternatives. The fragment 'load uses the SDK with postcondition verification' hints at a load path but doesn't tell the agent when to choose this tool over lm_load or lm_load_advanced.

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