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get_task

Fetch the current status and latest result payload for a Luma video modification task using its task ID.

Instructions

Fetch the current status and latest result payload for a luma task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNoAsynchronous endpoint the task was created on. Defaults to the line's only asynchronous endpoint.
task_idYesTask id returned when the task was created.
Behavior3/5

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

With no annotations, the description carries the transparency burden. It clearly conveys a read-only fetch operation, but does not disclose potential caveats such as whether the tool blocks until completion, may return empty payloads, or requires authentication. The language is truthful but minimal.

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 a single, front-loaded sentence with no filler. It effectively communicates the core purpose without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has a simple schema and no output schema, so the description must clarify return expectations. It mentions status and result payload, but lacks detail on possible states (e.g., pending vs. completed) or payload format, leaving some ambiguity for the agent.

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 the schema already documents both parameters. The description adds no extra meaning beyond identifying a 'luma task', which maps directly to task_id. Baseline 3 is appropriate.

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 fetches the current status and latest result payload for a task, using a specific verb ('fetch') and resource ('luma task'). This distinguishes it from siblings like login, modify_video, and check_pricing, which serve different purposes.

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?

Usage is implied: you call this tool when you need to check the status or retrieve the result of a previously created Luma task. However, there is no explicit guidance on when to use it versus alternatives, nor any mention of lifecycle prerequisites such as logging in first.

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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