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seedream_list_models

List all available Seedream models with their capabilities and pricing to help choose the right model for your task.

Instructions

List all available Seedream models with their capabilities and pricing.

Use this when:
- User asks what models are available
- You need to help choose the right model for a task
- You want to compare model capabilities

Returns:
    Formatted table of all Seedream models with descriptions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • Core handler function for the seedream_list_models tool. Defined as an async function decorated with @mcp.tool(). Returns a formatted markdown string listing all available Seedream models (doubao-seedream-5-0-260128, doubao-seedream-4-5-251128, doubao-seedream-4-0-250828, doubao-seedream-3-0-t2i-250415, doubao-seededit-3-0-i2i-250628) with their versions, types, features, pricing, and a model selection guide.
    @mcp.tool()
    async def seedream_list_models() -> str:
        """List all available Seedream models with their capabilities and pricing.
    
        Use this when:
        - User asks what models are available
        - You need to help choose the right model for a task
        - You want to compare model capabilities
    
        Returns:
            Formatted table of all Seedream models with descriptions.
        """
        # Last updated: 2026-04-05
        return """# Available Seedream Models
    
    | Model | Version | Type | Features | Price |
    |-------|---------|------|----------|-------|
    | `doubao-seedream-5-0-260128` | v5.0 | Text-to-Image | Latest flagship, highest quality, sequential generation, streaming, web search | ~$0.040/image |
    | `doubao-seedream-4-5-251128` | v4.5 | Text-to-Image | Previous flagship, great quality, sequential generation, streaming | ~$0.037/image |
    | `doubao-seedream-4-0-250828` | v4.0 | Text-to-Image | Stable, cost-effective, sequential generation, streaming | ~$0.030/image |
    | `doubao-seedream-3-0-t2i-250415` | v3.0 | Text-to-Image | Seed control, guidance scale, reproducible results | ~$0.038/image |
    | `doubao-seededit-3-0-i2i-250628` | v3.0 | Image-to-Image | Image editing, style transfer, seed control, guidance scale | ~$0.046/image |
    
    ## Model Selection Guide
    
    ### For Best Quality
    → **doubao-seedream-5-0-260128** (v5.0)
    - Latest flagship model with highest quality
    - Best for professional/commercial use
    
    ### For Previous Flagship Quality
    → **doubao-seedream-4-5-251128** (v4.5)
    - Great quality and detail
    - Good for professional use
    
    ### For Best Value
    → **doubao-seedream-4-0-250828** (v4.0)
    - Great balance of quality and cost
    - Recommended for most use cases
    
    ### For Reproducible Results
    → **doubao-seedream-3-0-t2i-250415** (v3.0 T2I)
    - Supports seed parameter for exact reproducibility
    - Supports guidance_scale for fine-tuning prompt adherence
    
    ### For Image Editing
    → **doubao-seededit-3-0-i2i-250628** (v3.0 I2I)
    - Dedicated editing model
    - Requires input image(s)
    - Best for style transfer, background changes, virtual try-on
    
    ## Feature Comparison
    
    | Feature | v5.0 | v4.5 | v4.0 | v3.0 T2I | v3.0 I2I (Edit) |
    |---------|------|------|------|----------|-----------------|
    | Text-to-Image | ✅ | ✅ | ✅ | ✅ | ❌ |
    | Image Editing | ❌ | ❌ | ❌ | ❌ | ✅ |
    | Seed Control | ❌ | ❌ | ❌ | ✅ | ✅ |
    | Guidance Scale | ❌ | ❌ | ❌ | ✅ (default 2.5) | ✅ (default 5.5) |
    | Sequential Gen | ✅ | ✅ | ✅ | ❌ | ❌ |
    | Streaming | ✅ | ✅ | ✅ | ❌ | ❌ |
    | Web Search | ✅ | ❌ | ❌ | ❌ | ❌ |
    | Resolution | 1K/2K/3K/4K/Adaptive | 1K/2K/3K/4K/Adaptive | 1K/2K/3K/4K/Adaptive | 1K/2K/3K/4K/Adaptive | 1K/2K/3K/4K/Adaptive |
    """
  • main.py:48-52 (registration)
    Tool registration via @mcp.tool() decorator on the async function in tools/info_tools.py. The server card JSON (lines 160-198) also lists it as one of the available tools under 'seedream_list_models'.
    def main() -> None:
        """Run the MCP Seedream server."""
        parser = argparse.ArgumentParser(
  • The tool has no input parameters (no schema for inputs). It takes no arguments and returns a plain string.
    @mcp.tool()
    async def seedream_list_models() -> str:
        """List all available Seedream models with their capabilities and pricing.
  • Tools module __init__.py imports info_tools, which triggers the @mcp.tool() decorator registration when the module is loaded.
    """Tools module for MCP Seedream server."""
    
    # Import all tools to register them with the MCP server
    from tools import image_tools, info_tools, task_tools
    
    __all__ = [
        "image_tools",
        "task_tools",
        "info_tools",
    ]
  • Integration test that imports and calls seedream_list_models(), asserting that specific model names (doubao-seedream-4-0-250828 and doubao-seedream-4-5-251128) appear in the result.
    class TestInfoTools:
        """Integration tests for informational tools."""
    
        @pytest.mark.asyncio
        async def test_list_models(self) -> None:
            """Test seedream_list_models tool."""
            from tools.info_tools import seedream_list_models
    
            result = await seedream_list_models()
    
            print("\n=== List Models Result ===")
            print(result)
    
            assert "doubao-seedream-4-0-250828" in result
            assert "doubao-seedream-4-5-251128" in result
Behavior4/5

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

No annotations provided, but description accurately notes it returns a formatted table of models. Does not mention any side effects or special requirements, which is acceptable for a read-only listing tool.

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?

Very concise, front-loaded with purpose, then usage guidelines, then return info. Every sentence adds value.

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?

Output schema exists and description mentions return format. Could be more detailed about fields, but output schema presumably covers it. Adequate for a listing tool.

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?

No parameters exist, so baseline is 4. Schema coverage is 100%. Description adds no parameter info, but none is needed.

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?

States clearly 'List all available Seedream models with their capabilities and pricing.' Differentiates from sibling tools that focus on image operations and tasks.

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?

Explicitly lists three use cases: asking about models, choosing a model, comparing capabilities. Does not explicitly state when not to use, but context is clear.

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

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