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minimax_get_tasks_batch

Query multiple video generation tasks in one request to retrieve their status and video information. Track batch progress without polling individual tasks.

Instructions

Query multiple video generation tasks at once.

Efficiently check the status of multiple tasks in a single request.
More efficient than calling minimax_get_task multiple times.

Use this when:
- You have multiple pending generations to check
- You want to get status of several videos at once
- You're tracking a batch of generations

Returns:
    Status and video information for all queried tasks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idsYesList of task IDs to query. Maximum recommended batch size is 50 tasks.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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 operation is a query and mentions the return type generally, but does not discuss behavior for invalid task IDs, partial failures, or rate limits. It adds some context about efficiency but lacks richer behavioral detail.

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?

The description is well-structured with a clear opening statement, an efficiency note, a bulleted usage list, and a returns section. Every sentence serves a purpose, making it concise and front-loaded without unnecessary fluff.

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 simple single-parameter batch query with an output schema, the description covers purpose, usage, and efficiency context. It lacks explicit error-handling behavior, but the low complexity and schema-provided batch size guidance make it nearly complete.

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?

The input schema provides 100% coverage for the single parameter task_ids, including a description of the ID list and the maximum batch size of 50. The tool description does not add parameter semantics beyond what the schema already documents, so the baseline score of 3 applies.

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 the tool queries multiple video generation tasks at once, using a specific verb and resource. It distinguishes itself from the sibling minimax_get_task by explicitly noting it is more efficient than calling the singular version multiple times.

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?

The description includes a 'Use this when' list with concrete scenarios (multiple pending generations, checking several videos, tracking batches) and explicitly names the alternative minimax_get_task, making the tool selection guidance clear and actionable.

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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