Skip to main content
Glama

Fire VNyan REST API action

vnyan_api_fire

Sends an action and string key-value pairs to VNyan's REST API to trigger a matching API Message node in a node graph.

Instructions

POSTs {action, payload} to VNyan's built-in REST API (http://localhost:8069) to trigger a matching API Message node in a node graph. Source: native port, no plugin required. Fire-and-forget: no return value, payload values must be strings (binds to Dictionary<string,string>).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesMust match an API Message node's configured Action
payloadNoString-only key/value pairs
Behavior5/5

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

With no annotations provided, the description fully discloses behavioral traits: it is fire-and-forget with no return value, payload values must be strings (binds to Dictionary<string,string>), and it uses a specific localhost address. This provides the agent with complete understanding of the tool's behavior and constraints.

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 three sentences, each adding essential information: the mechanism (POST to REST API), the purpose (trigger API Message node), and constraints (fire-and-forget, string payloads). No unnecessary words; every sentence earns its place.

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 no output schema, the description adequately covers the tool's behavior, constraints, and address. It lacks information about error handling or potential failures, but for a fire-and-forget tool with no return value, the provided context is sufficient for an agent to use it effectively.

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%, but the description adds valuable meaning beyond the schema: it explains that the action parameter must match an API Message node's configured Action, and that payload values are strings that bind to Dictionary<string,string>. This enhances the agent's understanding of parameter usage.

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?

Description clearly states the tool POSTs an action and payload to VNyan's REST API to trigger an API Message node. The verb 'POSTs' and the resource 'VNyan's built-in REST API' are specific, and the description distinguishes it from sibling tools by mentioning 'native port, no plugin required' and the fire-and-forget nature.

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

Usage Guidelines3/5

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

The description explains the tool's function and that it is native (no plugin required), implying it should be used for triggering API Message nodes. However, it does not explicitly state when to use this tool versus alternatives like vnyan_trigger or vnyan_dict, nor does it provide exclusions or conditions for use.

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