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get_node_info

Read-onlyIdempotent

Retrieve ComfyUI node schemas with input/output slots, widget defaults, and combo choices. Batch multiple class types in one call to speed up workflow drafting and validation.

Instructions

Full input/output schema for node classes: slot names, types, widget defaults/ranges, combo choices, tooltips.

BATCH your lookups: pass class_types=["A", "B", "C"] to fetch many in ONE call (returns {class_type: schema}) instead of one call per node. A single class_type=... still returns that one node's schema directly.

Long combo lists (fonts, model files...) are capped at 24 choices by default; to browse the rest, pass choices_filter='substring' (case-insensitive, applies to every combo of the node) and/or max_choices=N to raise the cap.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
class_typeNo
class_typesNo
max_choicesNo
choices_filterNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. Changed5 schema fields changedv0.15.1
    • removedInput schema / properties / choices_filter / title
      Removed value: -"Choices Filter"
    • removedInput schema / properties / class_type / title
      Removed value: -"Class Type"
    • removedInput schema / properties / class_types / title
      Removed value: -"Class Types"
    • removedInput schema / properties / max_choices / title
      Removed value: -"Max Choices"
    • removedInput schema / title
      Removed value: -"get_node_infoArguments"
  2. First observedv0.2.0

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already confirm read-only, idempotent behavior. The description adds meaningful behavioral details beyond annotations: combo lists are capped at 24 choices by default, choices_filter is substring-based and case-insensitive, and it is applied to every combo of the node. This is exactly the behavioral context an agent needs to correctly interpret limited results.

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 tightly organized and every sentence conveys operational value. It front-loads what the tool returns, then covers batching efficiency, single vs batch return shape, and list-cap behavior without repetition or filler.

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

Completeness5/5

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

For a four-parameter read-only tool with an output schema, the description is complete: it covers all parameters in practice, explains both invocation modes and their return structures, and clarifies the only surprising behavior (cap and filtering of combo choices). Nothing critical is left to inference.

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?

With 0% schema description coverage, the tool description carries the parameter semantics, and it does so well for class_type, class_types, and choices_filter. The only ambiguity is max_choices: the schema default is 0 while the text says 24 is the default cap, leaving it unclear whether max_choices=0 means 'use the default cap' or 'no limit'.

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 identifies the resource as node-class schemas and enumerates exactly what is returned: slot names, types, widget defaults/ranges, combo choices, and tooltips. It further distinguishes single vs batch return shapes, which makes the tool's behavior unambiguous and distinguishes it from sibling lookup tools.

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 description gives explicit usage direction: batch lookups with class_types when multiple schemas are needed, and use choices_filter/max_choices to control long combo lists. It does not explicitly name alternative tools or exclusionary conditions, so the when-to-use guidance is clear but not fully comparative.

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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