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grok_get_tasks_batch

Check the status of multiple video generation tasks in a single request. Get video information and track batch progress for up to 50 tasks.

Instructions

Query multiple video generation tasks at once.

Efficiently check the status of multiple tasks in a single request.
More efficient than calling grok_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 provided, so description carries the burden. It discloses that the tool is a batch read operation returning status and video info, but does not mention authentication, rate limits, error handling, or side effects. The efficiency claim is helpful but limits are only in schema.

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?

Description is concise: two short paragraphs plus a bulleted usage list. Front-loaded with purpose, no redundant sentences.

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?

Given the tool's simplicity (one parameter, output schema present), description covers purpose, usage, and return value. Could mention batch limit explicitly (though present in schema). Lacks error context but adequate.

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% with clear parameter documentation (task_ids, max batch size). Description adds generic context ('Efficiently check status') but does not provide new meaning beyond schema.

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?

Description clearly states 'Query multiple video generation tasks at once' with specific verb and resource. It distinguishes from sibling grok_get_task by emphasizing batch capability.

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 for the tool (multiple pending checks, status of several videos, tracking batches) and implies efficiency over calling grok_get_task multiple times. However, lacks explicit when-not-to-use or alternative guidance.

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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