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video_queue

Destructive

POST /v1/video/queue — paid settle+enqueue. Prefer generate_video for agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
audioNo
modelYesLive video model id from get_models
promptYes
durationNo
resolutionNo
aspect_ratioNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already convey the operation is not read-only, not idempotent, and destructive (destructiveHint=true). The description adds the crucial fact that the operation is paid and involves settlement+enqueue, which annotations cannot express. It does not explain what destructive side effects occur or what 'settle' means.

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?

The description is admirably brief and front-loaded with the endpoint and action; no filler. The cryptic 'settle+enqueue' reduces clarity, but every sentence carries intent and the routing preference.

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

Completeness1/5

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

A six-parameter paid queue operation with no output schema needs far more context: what settlement means, preconditions, cost implications, and parameter meaning. The one-line description plus sparse annotations is inadequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 17% (model alone is documented), and the description adds no parameter information. With six parameters and no enums, an agent has no guidance on prompt semantics, duration, resolution, aspect_ratio, or audio from either the schema or the description.

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 explicitly identifies the endpoint and core action ('paid settle+enqueue'), and it points to generate_video as the preferred alternative, which helps distinguish it from sibling tools. However, 'settle+enqueue' is jargon and does not fully specify the tool's purpose or effects.

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?

It provides one explicit routing cue: 'Prefer generate_video for agents,' which tells an agent that this is not the default choice. It does not specify what conditions would warrant using video_queue over generate_video, video_quote, or video_complete, so the guidance is partial.

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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