Skip to main content
Glama

list_models

Read-only

Lists available AI image generation models and their capabilities, with an option to show only active models, so you can choose the right model for a task.

Instructions

List available AI image generation models and their capabilities. For up-to-date pricing, see https://www.meigen.ai/model-comparison.

Input Schema

NameRequiredDescriptionDefault
activeOnlyNoOnly show active models (default: true)

Output Schema

NameRequiredDescriptionDefault
errorNo
modelsYes
successYes
configuredProvidersYes
executionCapabilitiesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.3.3

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds one piece of behavioral value: pricing is not returned here and must be looked up externally. With the output schema present and annotations covering read-only status, a 3 is appropriate.

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?

Two short sentences with the core purpose front-loaded and no filler. The pricing sentence is a mild tangent but short enough to earn its place as a scope boundary.

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

Completeness4/5

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

An output schema exists, so return values need not be described, and the one parameter is fully covered by the schema. Combined with the readOnly annotation, the description is adequate, though it lacks any sibling routing.

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?

Schema description coverage is 100% and the single optional parameter 'activeOnly' is fully documented in the schema with its default. The description adds nothing about parameter behavior, so the baseline 3 applies.

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?

States a specific verb+resource ('List available AI image generation models') and adds the scope of what is returned ('their capabilities'). It does not, however, distinguish itself from siblings like list_skills or check_skill, so an agent gets a clear purpose but no explicit contrast.

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?

There is no guidance on when to call this versus alternatives such as list_skills or check_skill, and no prerequisites or exclusions. The only routing hint is to an external URL for pricing, which is a content caveat rather than usage guidance.

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