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Glama

create_final_video

Destructive

Converts a Seedance 2.5 sample into a 1080p final video, spending credits only after explicit user confirmation and adding a final-generation node beside the sample node.

Instructions

把 Seedance 2.5 样片转成 1080p 成片(花积分),每次都要用户单独确认。画布会在样片节点旁边新建「成片生成」节点。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeNo视频节点名或 ID;给了就用这个节点最近一次成功的样片
projectYes项目名称或项目 ID(用 list_projects 查)
task_idNo样片任务 ID
confirm_codeNo两步确认码。只有上一次调用返回了确认码、并且用户已经明确同意时才填;平时不要填

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already flag destructive/non-idempotent/openWorld, and the description adds material context beyond them: the operation costs credits (花积分), demands per-call user confirmation, and creates a new canvas node. It stops short of describing reversibility of the resulting node.

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 tight sentences; the cost and confirmation requirement are front-loaded before the canvas side effect. No filler.

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 explained. The description covers cost, confirmation flow, and the canvas side effect—enough for a correct call, though it could clarify the confirm_code round-trip more explicitly.

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%, so node/project/task_id/confirm_code are all documented in the schema itself. The description adds no syntax or format detail beyond that, 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: converting a Seedance 2.5 sample (样片) into a 1080p final video (成片), plus the side effect of creating a 成片生成 node. The purpose is clear, but it doesn't explicitly differentiate itself from siblings like create_video_node or submit_generation.

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?

Implies the precondition (a successful sample must exist) and discloses that each call requires separate user confirmation, which is a usage constraint. However, it never states when to prefer this over sibling tools such as submit_generation or create_video_node, leaving the selection logic implicit.

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