Skip to main content
Glama

add_fluid_sim

Add a fluid physics simulation to an object, designating it as a fluid container (DOMAIN), emitter (FLOW), or obstacle (EFFECTOR). For DOMAIN types, choose between gas (smoke/fire) or liquid simulation.

Instructions

Add a fluid physics simulation to an object.

Args: object_name: Name of the object. type: Fluid type - DOMAIN (container), FLOW (emitter), or EFFECTOR (obstacle). domain_type: Domain simulation type - GAS (smoke/fire) or LIQUID. Only used when type is DOMAIN.

Returns: Confirmation dict with fluid settings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
object_nameYes
typeNoDOMAIN
domain_typeNoGAS

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so the description bears full burden. It does not disclose behavioral traits like whether it replaces existing fluid sim, the nature of side effects, or required permissions. The return value is vaguely described as a confirmation dict.

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 very concise: one sentence upfront, followed by a bulleted parameter list. No wasted words; every sentence adds value. Front-loads the main action.

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?

Given three parameters and no annotations, the description covers parameter semantics and return type. However, it lacks details on prerequisites (e.g., object must be a mesh) and expected results. The presence of an output schema reduces burden, but the confirmation dict is not elaborated.

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

Parameters4/5

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

Schema description coverage is 0%, but the description compensates by explaining all three parameters: object_name as the object name, type with enumerated fluid roles, and domain_type with optional logic. It clarifies conditional use of domain_type, adding meaning beyond the schema's bare defaults.

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 adds a fluid physics simulation to an object. The verb 'add' and resource 'fluid physics simulation to an object' are specific. It distinguishes from siblings like add_cloth_sim or add_particle_system by targeting fluid simulation.

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. No scenarios or prerequisites are mentioned, such as what object types are valid or effects of reapplication.

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/HoldMyBeer-gg/blend-ai'

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