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Generate a cinematic asset via OmniCinema

generate_media_asset

Request an image, texture, audio, or video from the OmniCinema API, save it with a provenance manifest, and optionally adapt the theme to the new material.

Instructions

CASE A: request an image/texture/audio/video from the linked OmniCinema loopback API, save it into app/assets/generated/ with a provenance manifest entry, and re-adapt the theme to the new material.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYes
adaptNoRe-run theme adaptation after saving (images only).
promptYesWhat to generate, e.g. 'nebula background, deep violet, 4k'.
file_nameNo
project_dirYes
Behavior3/5

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

The description discloses file saving, provenance manifest creation, and theme re-adaptation. However, with no annotations, it does not cover error handling, overwrite behavior, or side effects for non-image types.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence but somewhat convoluted with 'CASE A' and lacks clear separation of steps. It is moderately concise but could be better structured.

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

Completeness2/5

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

For a tool with 5 parameters and no output schema, the description is incomplete. It omits details like file name auto-generation, project directory purpose, and whether the tool is idempotent, leaving significant gaps for an AI 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 coverage is low (40%), and the description adds meaning to 'kind' and 'adapt' (e.g., adapt only for images). However, 'file_name' and 'project_dir' remain unexplained, and the description does not fully compensate for the gaps.

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 clearly states the tool requests media assets (image/texture/audio/video) from an API, saves them to a specific directory with provenance, and re-adapts the theme. However, the 'CASE A' prefix is ambiguous and suggests incomplete context.

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?

No guidance on when to use this tool versus alternatives like generate_spatial_module or omnicinema_status. The description lacks context for appropriate usage scenarios or exclusions.

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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