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Particle-Academy

fancy-flow-mcp-js

Configure Node

configure_node

Merge configuration fields into a node, allowing partial updates even if the schema is incomplete.

Instructions

Merge config into a node, keeping the kind's other defaults. A config that does not satisfy the kind's schema is WRITTEN ANYWAY and reported as warnings — a half-configured node is a normal intermediate state when building a graph one step at a time, and refusing the write makes it impossible to get there. validate_workflow is where 'not finished' is said.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
configYesFields to merge into the node's config.
node_idYesThe node to configure.
workflow_idYesThe workflow id.

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A4.8/5.0
Behavior5/5

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

No annotations are provided, so the description carries full behavioral responsibility. It discloses two important behaviors: config that does not satisfy the schema will still be written (with warnings), and the tool preserves other defaults. It explains why this behavior is intentional (a normal intermediate state), which prevents an agent from being surprised and makes the tool's return semantics predictable.

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 with no padding. The first sentence states the primary purpose, the second adds essential behavioral nuance, and the third names the related validation tool. Each sentence contributes useful information, and the most important caveat is front-and-center.

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 that there is no output schema and no annotations, the description does a good job of covering the core context: it explains the merge operation, the leniency toward invalid configs, and the relationship to validate_workflow. The only missing details are concrete output specifics (e.g., how warnings are returned) and error cases like missing node/workflow IDs, but these are not essential for the tool's primary use. A 4 reflects this minor incompleteness.

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?

The schema already gives all three parameters descriptions, so the baseline is 3. The description adds meaning to the 'config' parameter by explaining the merge behavior (config is merged into the node and other defaults are kept), which goes beyond the schema's generic statement 'Fields to merge'. This is just enough extra semantic value to merit a 4.

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 starts with 'Merge config into a node', a specific verb and resource, and adds 'keeping the kind's other defaults' to further clarify the operation. It also explicitly refers to the sibling tool validate_workflow, making the tool's purpose distinct from related workflow tools. An agent can immediately understand what this tool does without reading the schema.

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?

The description gives explicit context for when to use this tool: it's appropriate when building a graph step by step, accepting a half-configured node as an intermediate state. It also names validate_workflow as the place where 'not finished' is said, effectively telling the user when not to rely on this tool for validation. This is a clear when-to-use/alternative scenario.

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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