Skip to main content
Glama
TMHSDigital

Local AI MCP

Official
by TMHSDigital

list_loaded

Identify models currently loaded in memory on each local AI provider, or aggregate across all providers.

Instructions

List models currently loaded into memory on each detected provider. Without a provider arg, aggregates across all detected providers keyed by provider.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
providerNoOptional provider id
Behavior4/5

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

With no annotations, the description carries full burden. It clearly describes the tool's behavior (listing loaded models, aggregating when no provider specified). It does not mention side effects or permissions, but for a listing tool the description is transparent enough.

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?

Two sentences, no filler, front-loaded with the core purpose. Every word adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple list tool with one optional parameter and no output schema, the description is complete. It explains the core functionality, parameter behavior, and return structure hint, fully covering what an agent needs to use the tool correctly.

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

Parameters5/5

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

The schema already provides an enum and description for the 'provider' parameter. The description adds significant value by explaining the aggregation behavior when the parameter is omitted, including the return structure ('keyed by provider'), which goes beyond the schema.

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 lists models loaded into memory on each detected provider. It distinguishes itself from sibling tools like list_models (likely lists available models) and list_providers (lists providers), making its specific resource and action unambiguous.

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

Usage Guidelines4/5

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

The description explains that without a provider argument, it aggregates results across all providers keyed by provider. This implies when to use the tool with and without the parameter, but it does not explicitly state when to use this over alternatives like list_models or model_info.

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/TMHSDigital/local-ai-mcp'

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