Skip to main content
Glama

render_frame

Render the current frame in Cinema 4D with customizable output path and dimensions for 3D scene visualization.

Instructions

Render the current frame.

Args:
    output_path: Optional path to save the rendered image
    width: Optional render width in pixels
    height: Optional render height in pixels

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
output_pathNo
widthNo
heightNo

Implementation Reference

  • The 'render_frame' tool is defined as an async function decorated with @mcp.tool(). It validates connection to Cinema 4D, prepares a command dictionary, and sends it via 'send_to_c4d'.
    async def render_frame(
        output_path: Optional[str] = None,
        width: Optional[int] = None,
        height: Optional[int] = None,
        ctx: Context = None,
    ) -> str:
        """
        Render the current frame.
    
        Args:
            output_path: Optional path to save the rendered image
            width: Optional render width in pixels
            height: Optional render height in pixels
        """
        async with c4d_connection_context() as connection:
            if not connection.connected:
                return "❌ Not connected to Cinema 4D"
    
            # Prepare command
            command = {"command": "render_frame"}
    
            if output_path:
                command["output_path"] = output_path
            if width:
                command["width"] = width
            if height:
                command["height"] = height
    
            # Send command to Cinema 4D
            response = send_to_c4d(connection, command)
            return format_c4d_response(response, "render_frame")
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 of behavioral disclosure. It mentions rendering but fails to describe key traits: whether it's a read-only or destructive operation, if it requires specific permissions, what happens if parameters are omitted (e.g., default behavior), or the output format (e.g., image type). This leaves significant gaps for an agent to understand the tool's behavior.

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?

The description is brief and front-loaded with the main action, followed by a parameter list. It avoids unnecessary words, but the parameter section could be more integrated (e.g., explaining defaults). Overall, it's efficient but could be slightly more structured for clarity.

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?

Given the complexity (a rendering tool with 3 parameters), no annotations, and no output schema, the description is incomplete. It doesn't cover behavioral aspects, output details, or usage context, making it insufficient for an agent to reliably invoke the tool without additional assumptions or trial-and-error.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It lists parameters and their basic purposes (e.g., 'output_path' for saving, 'width' and 'height' in pixels), but adds minimal semantic value: it doesn't explain file format expectations for 'output_path', valid ranges for dimensions, or interactions between parameters. This is inadequate given the lack of schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the action ('Render') and target ('the current frame'), which provides a basic purpose. However, it's vague about what 'current frame' means in context (e.g., from a 3D scene, animation, or simulation) and doesn't distinguish it from sibling tools like 'render_preview' or 'snapshot_scene', leaving ambiguity about when to use each.

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 is provided on when to use this tool versus alternatives like 'render_preview' or 'snapshot_scene'. The description lacks context about prerequisites (e.g., needing an active scene or frame) or typical use cases, offering minimal help for an agent to decide between similar tools.

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/ttiimmaacc/cinema4d-mcp'

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