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get_video_lab_generation

Read-only

Fetch one Video Lab generation by video id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
videoIdYesVideo Lab video id from generate_video_lab or list_video_lab_generations.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoRow id. Some list tools use id instead of generationId.
statusNoJob status such as pending, queued, in_progress, completed, or failed.
videoIdNoLibrary clip id for this job, when one exists.
videoUrlNoPlayback URL when the job has finished.
createdAtNoISO timestamp when this job was created.
modelSlugNoCatalog model slug from the matching list_*_models tool.
outputUrlNoDownload or playback URL when the job has finished.
generationIdNoGeneration id. Poll the matching get_* tool until status is completed or failed.
creditsChargedNoUsage already consumed from this month’s generation allowance (internal units).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description merely restates 'Fetch' without adding further behavioral context. It doesn't mention error handling, return shape, or any side effects beyond what annotations already imply.

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 sentence with no filler, front-loading the verb and resource. Every word earns its place.

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?

For a simple get-by-id tool with an output schema and safety annotations, the description is minimally adequate. However, it omits any context about what a Video Lab generation is or how it differs from other generation types, though the sibling tool names partially compensate.

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 coverage is 100%, and the schema description explains that videoId comes from generate_video_lab or list_video_lab_generations, so the baseline is 3. The tool description only repeats 'by video id' without adding new parameter meaning.

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?

The description names a specific verb ('Fetch'), a clear resource ('Video Lab generation'), and the lookup mechanism ('by video id'). It distinguishes from siblings like list_video_lab_generations by implying a single-record fetch, though it doesn't explicitly name an alternative.

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

Usage Guidelines2/5

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

The description gives no guidance on when to use this tool versus alternatives such as get_clip or list_video_lab_generations. The source of the videoId appears only in the schema parameter description, not in the tool description, leaving the agent to infer usage.

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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