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flow_use_grid_architect

Set up Google Flow Grid Architect with theme, shot prompts, engine, ratio, and visual logic, then generate batch shots for brand campaigns.

Instructions

Open Grid Architect in Google Flow, fill theme prompt, shot prompts, engine, ratio, and visual logic settings. Supports batch shot generation for brand campaigns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ratioNoAspect ratio for all shots.16:9
engineNoEngine/model for the grid.Nano Banana 2
campaignNoCampaign identifier for project matching (e.g., "summer-2026", "new-collection").
referencesNoPaths to reference images.
project_nameNoName for the project (will reuse existing project with same campaign, or create new).
shot_promptsNoArray of individual shot prompts for the grid.
theme_promptYesOverall theme prompt for the grid.
visual_logicNoVisual logic type: None, Colour Pop, Side by Side, etc.
Behavior2/5

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It says the tool 'open[s]' and 'fill[s]' settings but does not mention side effects, prerequisites, whether it creates or reuses projects, or what the agent should expect after invocation. This leaves significant ambiguity for a UI-automation tool.

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 two sentences and front-loads the primary action. Every phrase earns its place: the resource, the key settings, and the batch campaign use case. No filler or 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 description captures the main purpose and the batch use case, and the schema fully documents parameters. However, there is no output schema, no annotation, and the description does not state prerequisites, expected outcomes, or side effects. It is minimally sufficient but has clear gaps for a complex UI automation tool.

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 baseline is 3. The description repeats several parameter names (theme prompt, shot prompts, engine, ratio, visual logic) but does not add meaning beyond the schema's own field descriptions, such as campaign reuse behavior or reference image handling.

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 opens with a specific action and resource ('Open Grid Architect in Google Flow') and lists the exact settings it fills (theme prompt, shot prompts, engine, ratio, visual logic). It clearly differentiates from siblings like flow_generate_image by emphasizing batch shot generation for brand campaigns.

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?

The description provides a clear use case: batch shot generation for brand campaigns. It does not explicitly name alternatives or state when not to use it, but the context strongly implies this tool is for multi-shot Grid Architect workflows rather than single-image generation.

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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