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Finalize a Seedance draft to 1080p

aimixer_complete_draft
DestructiveIdempotent

PAID ACTION in two steps: finalize a finished Seedance 2.5 Draft to a 1080p video without generating it from scratch. A draft is a cheap 480p preview; if the user likes it, it can be finalized within 7 days of its creation. Step 1: call with the draft's request_id (the one aimixer_submit / aimixer_status returned for the draft; result_index picks one of several results) and no quote_confirmation. It returns the coin price, quote_confirmation, pricing_revision, expected_price, approval_handle and approval_url; nothing is debited yet. Step 2: after the user explicitly approves that exact cost on the AIMixer website (or the supported inline button), call again with the same arguments plus quote_confirmation, pricing_revision, expected_price and approval_handle. It deducts coins and starts the finalization, returning a request_id to follow with aimixer_status. Repeating the call for the same draft result never charges twice. Other models and generations are not drafts.

Input Schema

NameRequiredDescriptionDefault
request_idYesrequest_id of the finished draft generation.
result_indexNo
output_formatNomp4
expected_priceNo
approval_handleNo
pricing_revisionNo
quote_confirmationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Far exceeds the annotations: it discloses the two-step quote/approve flow, that nothing is debited on step 1, that step 2 deducts coins and starts finalization, the 7-day expiry, and the idempotency guarantee ('Repeating the call for the same draft result never charges twice'), which reinforces the idempotentHint. Annotations only flag destructive/idempotent/non-readOnly; the description explains the actual cost and approval mechanics.

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?

Front-loads 'PAID ACTION in two steps' and then walks through step 1 and step 2 in order, matching the call sequence. It is dense but nearly every clause carries operational weight; the single unused detail is the unexplained output_format.

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?

For a 7-parameter, no-output-schema, destructive mutation tool, the description covers the charging model, approval requirement, and follow-up tool. The only meaningful omission is output_format semantics, which neither the schema nor the description explains.

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?

With only 14% schema coverage, the description does substantial work: it ties request_id to the draft returned by aimixer_submit/aimixer_status, explains result_index selects among multiple results, and enumerates the step-2 fields (quote_confirmation, pricing_revision, expected_price, approval_handle) and their roles. It omits any explanation of output_format (mp4/mov), leaving a real gap.

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 a specific verb and resource ('finalize a finished Seedance 2.5 Draft to a 1080p video') and explicitly contrasts it with generating from scratch. It also disambiguates from siblings by naming aimixer_submit and aimixer_status as the draft origin and follow-up tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit preconditions (draft must be a cheap 480p preview, finalized within 7 days of creation) and exclusions ('Other models and generations are not drafts'). It clearly separates step 1 (quote) from step 2 (confirm) and states when each is appropriate.

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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