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Apply Xpresso Graph Description

apply_xpresso_graph

Declare nodes and wire connections to construct an Xpresso graph in Cinema 4D. Set operator IDs, parameters, and optionally create the Texpresso tag automatically.

Instructions

Declarative builder for an Xpresso (classic GvNodeMaster) graph — mirror of apply_graph_description but for Xpresso rather than Maxon node materials. Creates nodes (CreateNode) and wires connections (GvPort.Connect) in one call. Accepts an operator_id as an int (e.g. c4d.ID_OPERATOR_CONST=1001150) or short alias ('object'|'const'|'result'|'math'|'range_mapper'|'condition'|'compare'|'memory'|'iterate'|'bool'|'freeze'|'formula'|'realtovect'|'vecttoreal'|'matrix2vect'|'vect2matrix'|'link'|'spy'|'python'). Optionally creates the Texpresso tag when given an object handle and create_tag_if_missing:true. Example: build a Object.Global Position -> Result graph in three calls (create Cube → apply_xpresso_graph → EventAdd).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodesYesNode specs keyed by caller-chosen stable id (used in `connect`).
handleYesXpresso tag handle (Texpresso) or an object handle (pass create_tag_if_missing:true to auto-add a tag).
connectNoConnection list. `from` defaults to dir='out' and `to` defaults to dir='in'. Internally always calls outputPort.Connect(inputPort).
create_tag_if_missingNoWhen handle is an object and no Texpresso tag exists, create one. Default true.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changedv0.4.3
    • changedInput schema / definitions / __schema0 / anyOf
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      -      "kind": {
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      -      "kind": {
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      -      "name": {
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      -      "tag": {
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      -]New value: +[
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      +      "object_path": {
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      +    "type": "object"
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      +  {
      +    "properties": {
      +      "kind": {
      +        "const": "video_post",
      +        "type": "string"
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      +        "type": "string"
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      +      "type_id": {
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      +        "type": "integer"
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      +          }
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      +    "type": "object"
      +  },
      +  {
      +    "properties": {
      +      "id": {
      +        "type": "string"
      +      },
      +      "kind": {
      +        "const": "gv_node",
      +        "type": "string"
      +      },
      +      "name": {
      +        "type": "string"
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      +      "tag": {
      +        "allOf": [
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      +        "anyOf": [
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      +      "plugin_type": {
      +        "enum": [
      +          "command",
      +          "object",
      +          "tag",
      +          "material",
      +          "shader",
      +          "video_post",
      +          "scene_loader",
      +          "scene_saver",
      +          "bitmap_loader",
      +          "bitmap_saver",
      +          "tool",
      +          "preference",
      +          "node",
      +          "sculpt_brush"
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      +        "type": "string"
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  2. First observedv0.3.1

TDQS

A3.8/5.0
Behavior3/5

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

No annotations exist, so the description carries the full disclosure burden for a clearly mutating tool (creates nodes, connects ports, optionally auto-adds a Texpresso tag). It does disclose these creation side effects and hints that EventAdd follows, which is useful. But it omits whether an existing graph is replaced or appended to, any permission constraints, and what the call returns — notable gaps for a mutation with zero annotation coverage.

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?

A dense but efficient paragraph that front-loads purpose, then sibling differentiation, then operator_id syntax, then tag-creation, ending with a concrete example. No wasted sentences. The long alias list is arguably overpacked but justified by the tool's complexity; it reads as information-dense rather than padded.

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 complex tool with deeply nested objects and no output schema, the description covers a lot: aliases, tag creation, and a full workflow example. Yet it leaves material gaps for an agent — the return format/confirmation, replace-vs-append semantics on an existing graph, and error behavior. Given the tool's complexity, these omissions prevent a higher score.

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 coverage is 100%, so the schema already documents all four parameters with descriptions. The description adds concrete value beyond the schema via the operator_id alias enumeration ('object'|'const'|'result'|...) and the ID_OPERATOR_CONST=1001150 example, but much of the content (the node spec, port-selector priority, Connect semantics) duplicates schema text. This fits the baseline-3 for high schema coverage.

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 states a specific verb-plus-resource ('Declarative builder for an Xpresso graph... Creates nodes... and wires connections') and explicitly differentiates from the sibling apply_graph_description — 'mirror of apply_graph_description but for Xpresso rather than Maxon node materials.' An agent can distinguish this from its sibling without opening either schema.

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 mirror phrasing establishes the selection context (Xpresso/GvNodeMaster vs. Maxon node materials) and the example workflow (create Cube → apply_xpresso_graph → EventAdd) conveys practical sequencing. However, it never states an explicit 'when NOT to use' or names the alternative outside the brief mirror clause, leaving some inference to the agent.

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

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