list_models
List available image generation models supported by OpenRouter API to view their details and capabilities.
Instructions
Show information about the Gemini image generation model
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List available image generation models supported by OpenRouter API to view their details and capabilities.
Show information about the Gemini image generation model
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It implies a read-only operation but lacks details on return format, rate limits, or authentication needs. Minimum adequacy.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, front-loaded with verb and resource. No wasted words, but could be more accurate with plural form.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema and no annotations, the description does not explain what information is shown (e.g., model IDs, capabilities). Incomplete for a list tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist, so schema coverage is 100% trivially. The description adds meaning by explaining the tool's purpose, but no parameter-specific detail is needed. Baseline of 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description states 'Show information about the Gemini image generation model' which is a clear verb and resource. However, the singular phrasing may be confusing given the plural tool name and sibling 'generate_image'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. The sibling 'generate_image' is present but no comparison or conditions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/hz1ulqu01gmnZH4/openrouter-image-gen-mcp'
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