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flow_use_grid_architect

Configure Google Flow Grid Architect by filling theme, shot prompts, engine, ratio, and visual logic to batch-generate brand campaign shots. Prepare-only by default.

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. Prepare-only by default (auto_confirm=false).

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.
auto_confirmNoReserved — currently prepare-only.
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.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose one important trait: 'Prepare-only by default (auto_confirm=false)'. It also hints at project reuse via the schema, but it never says what happens after preparation, whether a separate confirm step exists, or what permissions/account state are required — significant gaps for an unattended UI-driving tool.

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?

Three tight sentences with the core action front-loaded and the prepare-only caveat placed last where it matters most. No filler, though the middle sentence's field enumeration is largely redundant with the schema.

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 9-parameter, no-annotation, no-output-schema tool, the description covers the primary flow and the safety default but omits the post-prepare lifecycle (what the caller does next) and any notion of the return value. It is minimally sufficient but leaves the agent guessing about the step after invocation.

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 restates theme prompt, shot prompts, engine, ratio and visual logic — all already documented in the schema — and adds no format or constraint detail (e.g., valid engine names, visual_logic enum values, reference image path expectations).

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?

States a specific verb+resource ('Open Grid Architect in Google Flow') and enumerates the fields it fills, so the agent knows exactly what operation this performs. It implies batch shot generation, which differentiates it somewhat from flow_generate_image, but it never names a sibling or explicitly contrasts the two.

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?

'Supports batch shot generation for brand campaigns' gives an implied use case, but there is no explicit when-to-use/when-not guidance and no mention of alternatives such as flow_generate_image or flow_create_scene for single-shot work. The agent must infer routing from the batch/campaign phrasing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.