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Edit Xpresso Port

set_xpresso_port

Manage Xpresso node ports: add/remove input/output ports, connect to peer nodes, disconnect connections, or set default values after listing nodes to discover handles.

Instructions

Low-level Xpresso port primitive — covers cases apply_xpresso_graph can't express. action:'add' adds a new input/output port via GvNode.AddPort(port_id). connect wires this node's port to target (on a peer node identified by target.node_handle); output-vs-input direction is auto-detected. disconnect removes incoming connections from port. set_value writes the port's default. remove deletes the port. Use list_xpresso_nodes first to discover node path ids and existing ports.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ioNoDirection for `add`.
nodeYesgv_node handle for the operated-on GvNode.
portNoTarget port selector. Required for remove / connect / disconnect / set_value.
valueNoNew default value for `set_value`. [x,y,z] is coerced to c4d.Vector.
actionYesOperation to perform.
targetNoPeer port selector (with its node_handle). Required for connect.
port_idNoPort main id passed to GvNode.AddPort (required for `add`).

Schema Changelog

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

  1. Changed1 schema field changedv0.4.3
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  2. First observedv0.3.1

TDQS

A4.8/5.0
Behavior5/5

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

With no annotations, the description carries the full burden of behavior disclosure, and it succeeds. It says exactly what each action does: GvNode.AddPort(port_id), wiring to a peer node via target.node_handle, auto-detecting direction, removing incoming connections, writing defaults, and deleting the port. The destructive remove behavior is explicitly surfaced.

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 front-loaded with the tool's role and then systematically walks through each action without padding. Each clause adds either a semantic detail or a prerequisite instruction; there is no repetition of the schema or title.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity, nested parameters, and empty annotations, this description is close to complete: it defines all five actions, outlines the wiring model per action, and gives discovery guidance. It could add error or edge-case behavior—like duplicate port_id on add or what happens when disconnect finds no connection—but nothing essential blocks an agent from calling it correctly.

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 coverage is 100%, so the baseline is 3, but the description adds meaningful cross-parameter context beyond the schema—e.g., port_id is what gets passed to GvNode.AddPort, target.node_handle identifies the peer node, and port/target requirement flows by action. It doesn't just restate the schema fields.

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 identifies the tool as a low-level Xpresso port primitive and enumerates concrete operations: add, connect, disconnect, set_value, and remove. The opening clause also distinguishes it from apply_xpresso_graph, making the tool's scope immediately clear to an agent.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly scopes the tool to cases apply_xpresso_graph can't express, which tells the agent when to reach for this low-level primitive instead of the higher-level sibling. It also directs the agent to run list_xpresso_nodes first to discover node path ids and existing ports, giving a concrete precondition.

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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