Skip to main content
Glama

flow_use_grid_architect

Open Grid Architect in Google Flow to configure theme, shot prompts, engine, ratio, and visual logic for batch shot generation in 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
theme_promptYesOverall theme prompt for the grid.
shot_promptsNoArray of individual shot prompts for the grid.
engineNoEngine/model for the grid.Nano Banana 2
ratioNoAspect ratio for all shots.16:9
visual_logicNoVisual logic type: None, Colour Pop, Side by Side, etc.
referencesNoPaths to reference images.
project_nameNoName for the project (will reuse existing project with same campaign, or create new).
campaignNoCampaign identifier for project matching (e.g., "ete-2026", "nouvelle-collection").
Behavior2/5

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

No annotations are provided, so the description must bear the full burden. It mentions 'open' and 'fill' but doesn't disclose whether this modifies state, requires authentication, or has side effects like creating projects. The behavior of opening an external app (Grid Architect) is hinted but not detailed.

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 extremely concise with two sentences. The first sentence front-loads the core action and settings, the second adds the purpose. No unnecessary words or repetition.

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?

With 8 parameters and no output schema, the description lacks critical context: return value, error handling, prerequisites (e.g., must be in a project), and whether it is idempotent. It mentions 'supports batch shot generation' but doesn't explain the flow or results.

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 baseline is 3. The description lists several parameters (theme_prompt, shot_prompts, engine, ratio, visual_logic) but misses references, project_name, and campaign. It adds value by framing them as settings for batch generation, but doesn't go beyond the schema's own descriptions.

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 clearly states the tool opens Grid Architect and fills specific settings (theme, shots, engine, ratio, visual logic). It specifies batch shot generation for brand campaigns, distinguishing it from siblings like flow_generate_image that likely handle single images.

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 clear context: use for batch shot generation in brand campaigns. While it doesn't explicitly list alternatives or when-not-to-use, the sibling tool names imply single-image generation (flow_generate_image) and generic tool usage (flow_use_tool), giving enough guidance.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/TMSSS05/google-flow-browser-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server