Skip to main content
Glama
TMHSDigital

Local AI MCP

Official
by TMHSDigital

list_models

List all installed models across local AI providers or filter by a specific provider. Get an aggregated view of available models keyed by provider.

Instructions

List models installed/available on each detected provider. Without a provider arg, aggregates across all detected providers keyed by provider.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
providerNoOptional provider id
Behavior3/5

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

No annotations provided, so description carries burden. It discloses aggregation behavior but no other traits like caching, network calls, or auth needs. Adequate for a simple read tool, but could be more transparent.

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, front-loaded with purpose, followed by parameter behavior. Every sentence adds value with zero wasted words.

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

Completeness3/5

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

No output schema, so description should hint at return format. It says 'keyed by provider' but not what each entry contains. Lacks details on whether models are installed, available, or both. Adequate for simple tool but leaves gaps.

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

Parameters4/5

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

Schema covers provider with enum and description. Description adds value by explaining behavior when parameter omitted (aggregation) and output format (keyed by provider), beyond schema's description.

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?

Description clearly states it lists models per provider, with specific verb 'list' and resource 'models installed/available on each provider'. Effectively distinguishes from siblings like list_loaded and list_providers by specifying scope of listing.

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?

Provides guidance on when to omit the provider arg (aggregation) but lacks explicit guidance on when to use this tool over alternatives like list_loaded or model_info. Usage context is implied but not fully explicit.

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