# create_raymarch_scene

Instantiate a self-contained GLSL TOP raymarcher (volumetric / signed-distance-field) — the 3D complement to create_shader_lib. Scenes: sphere_field (repeated spheres), menger (Menger-sponge fractal), tunnel (twisting tunnel). Exposes live CameraZ / Speed / StepCount / Intensity / ColorA / ColorB controls and previews the output TOP.

Agent View of the PolicyLayer registry record for `create_raymarch_scene`. HTML page: https://policylayer.com/tools/io-github-pantani-tdmcp/create-raymarch-scene

## Facts

- Tool: `create_raymarch_scene`
- Server: tdmcp — TouchDesigner MCP server (`@dpantani/tdmcp`) — https://policylayer.com/tools/io-github-pantani-tdmcp.md
- Install: `npx -y @dpantani/tdmcp`
- Homepage: https://github.com/Pantani/tdmcp
- Risk category: Write (Medium risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Rate-limited

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "create_raymarch_scene",
    "arguments": {}
  }
}
```

## Why create_raymarch_scene is rated Medium

This tool creates new nodes/operators in TouchDesigner (instantiation of a GLSL TOP with controls), which is a reversible write/create operation. It does not delete anything, execute arbitrary code beyond creating a predefined scene, or involve financial transactions. Severity is medium because it modifies the project state by adding components, though the blast radius is limited to the TouchDesigner project.

From the tool's own definition: "Instantiate a self-contained GLSL TOP raymarcher... Exposes live CameraZ / Speed / StepCount / Intensity / ColorA / ColorB controls and previews the output TOP"

## Use case

AI agents use create_raymarch_scene to create or update resources in tdmcp — TouchDesigner MCP server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your tdmcp — TouchDesigner MCP server environment.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches tdmcp — TouchDesigner MCP server:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_raymarch_scene": {
      "limits": [
        {
          "counter": "create_raymarch_scene_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on tdmcp — TouchDesigner MCP server (333)

- `delete_td_node` — Destructive — https://policylayer.com/tools/io-github-pantani-tdmcp/delete-td-node.md
- `manage_checkpoint` — Destructive — https://policylayer.com/tools/io-github-pantani-tdmcp/manage-checkpoint.md
- `refresh_asset_previews` — Destructive — https://policylayer.com/tools/io-github-pantani-tdmcp/refresh-asset-previews.md
- `repair_network` — Destructive — https://policylayer.com/tools/io-github-pantani-tdmcp/repair-network.md
- `apply_glsl_top_mapping` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/apply-glsl-top-mapping.md
- `audio_fingerprint_to_visual` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/audio-fingerprint-to-visual.md
- `auto_repair_loop` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/auto-repair-loop.md
- `batch_operations` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/batch-operations.md
- `build_chop_chain` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/build-chop-chain.md
- `build_pop_chain` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/build-pop-chain.md
- `build_sop_geometry` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/build-sop-geometry.md
- `connect_daydream_cloud` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/connect-daydream-cloud.md
- `control_timeline_transport` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/control-timeline-transport.md
- `create_ai_mirror` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-ai-mirror.md
- `create_body_bubbles` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-body-bubbles.md
- `create_cue_sequencer` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-cue-sequencer.md
- `create_depth_pop_field` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-depth-pop-field.md
- `create_energy_structure` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-energy-structure.md
- `create_engine_comp` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-engine-comp.md
- `create_gpu_particle_field` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-gpu-particle-field.md
- `create_growth_system` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-growth-system.md
- `create_interactive_projection_mapping` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-interactive-projection-mapping.md
- `create_led_mapper` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-led-mapper.md
- `create_llm_chain` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-llm-chain.md
- `create_panic` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-panic.md
- `create_particle_flock` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-particle-flock.md
- `create_phrase_locked_cue_engine` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-phrase-locked-cue-engine.md
- `create_sdf_field` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-sdf-field.md
- `create_set_navigator` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-set-navigator.md
- `create_setlist_runner` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-setlist-runner.md
- …and 303 more: https://policylayer.com/tools/io-github-pantani-tdmcp.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-pantani-tdmcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-pantani-tdmcp