Skip to main content
Glama

Fire a bridged post-processing effect

vnyan_effect

Applies bloom, vignette, ambient light, or sun light effects to a VNyan avatar via a bridge graph trigger. Requires prior bridge graph installation.

Instructions

Drives a post-processing effect (bloom/vignette) via the installed bridge graph's TriggerNode. REQUIRES vnyan_bridge_graph action 'install' to have been run once. Source: plugin trigger.call (live). This node type has no getter in VNyan at any tier - the MCP tracks the value it just sent, it does not read back the actual applied state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesBridge action key, e.g. 'bloom' or 'vignette'
toggleNoDefault true (most of these effects toggle off on a repeat call with the same state)
intensityNoDefault 0
Behavior4/5

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

With no annotations, the description discloses key behavioral traits: no getter capability, MCP only tracks sent values, and the effect toggling behavior. It could mention error handling but is largely transparent.

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 concise, with three sentences that front-load the core purpose and quickly cover requirements and limitations. No unnecessary words.

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?

The description covers prerequisite, behavior, and parameter context adequately for a 3-parameter tool with no output schema. Missing error handling, but overall complete for typical usage.

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 description adds value beyond schema by explaining the toggling behavior of the toggle parameter and the default values, though it does not elaborate on all parameters.

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 drives a post-processing effect (bloom/vignette) via a bridge graph's TriggerNode, providing specific examples and distinguishing it from siblings like vnyan_bridge_graph (install action) and vnyan_trigger (general trigger).

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?

Explicitly states the prerequisite (bridge graph install) and the limitation that the tool does not read back applied state. However, it does not explicitly mention when not to use it or alternative tools for other effects.

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/seth-rah/vnyan-mcp'

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