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get_node_info

Retrieve configurable nodes from an AI application to view modifiable settings including node ID, field name, field type, and current field value.

Instructions

Get the configurable node list of an AI application. Returns all modifiable node info (nodeId, fieldName, fieldType, fieldValue).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "webapp_id": "<webapp_id>"
    },
    "name": "get_node_info"
  }
}

Input Schema

Name	Required	Description	Default
`webapp_id`	Yes	The webapp ID of the AI application

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0May 6, 2026

TDQS

A3.6/5.0

Behavior2/5

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

With no annotations provided, the description carries full burden. It indicates a read operation returning modifiable node info but lacks details on idempotence, auth requirements, rate limits, or potential side effects.

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?

Two sentences, no fluff. The first sentence states the primary action, and the second enumerates the return fields. Information is front-loaded and efficiently structured.

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 simple retrieval nature, the description covers the essential purpose and return fields. An output schema exists but is not shown; however, the description lists the fields. No discussion of errors, pagination, or examples, but adequate for the tool's simplicity.

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% with a well-described parameter. The description adds the context that the list pertains to an AI app but does not provide additional parameter constraints or formatting beyond the schema.

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 it retrieves a list of configurable nodes for an AI application, specifying the exact fields returned. This verb-resource combination is distinct from sibling tools, which focus on tasks.

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 implies this tool is for retrieving node configurations of an AI app but does not explicitly state when to use it over alternatives or provide conditions for avoidance. No guidance on prerequisites or context.

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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