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AceDataCloud

SeedanceMCP

by AceDataCloud
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

seedance_list_models

Compare all available Seedance models by capabilities and pricing to choose the right model for text-to-video or image-to-video generation.

Instructions

List all available Seedance models with their capabilities and pricing.

Shows all available model options with their features, strengths, and costs.
Use this to understand which model to choose for your video generation.

Returns:
    Table of all models with descriptions, capabilities, and pricing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.5
  2. Removedv0.1.3
  3. First observedv0.1.0

TDQS

A4.4/5.0
Behavior4/5

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 discloses that the tool lists models with capabilities and pricing, implying a read-only operation with no side effects. This is adequate for a simple list tool.

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?

The description is three sentences, each contributing to the purpose, usage, and return value. It is concise without being overly terse, though some minor redundancy exists ('Shows all available model options' repeats the first sentence).

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?

Given zero parameters and the existence of an output schema, the description adequately covers the tool's purpose, usage, and return value. No further information is needed.

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?

The tool has zero parameters, and schema coverage is 100%. The baseline for 0 parameters is 4. The description does not need to add parameter information.

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 'List all available Seedance models with their capabilities and pricing.' This is a specific verb+resource combination that distinguishes it from sibling tools like seedance_generate_video or seedance_get_task.

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 includes 'Use this to understand which model to choose for your video generation,' providing clear context for when to use the tool. It does not explicitly state when not to use alternatives, but the purpose is simple enough.

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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