Skip to main content
Glama
Particle-Academy

fancy-flow-mcp-js

List Workflows

list_workflows

Retrieve all workflow drafts and their node/edge counts to recover a forgotten workflow_id before creating duplicates.

Instructions

List every workflow draft this host is holding, with node and edge counts. Use it to recover a workflow_id you did not keep, before creating a duplicate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A5/5.0
Behavior5/5

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

With no annotations, the description carries the full burden. It clearly indicates the operation is a read-only listing (no side effects mentioned), and the 'recover' phrasing implies safety. The behavior is 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 two sentences, concise and focused. It provides essential information without extraneous detail, earning a perfect score for structure.

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?

Given the sibling tools (create, get, delete, etc.), the description adequately contextualizes this tool's role. It mentions the workflow draft listing and the recovery use case, making it complete for an agent to decide when to use it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has no parameters, so there is nothing to explain. The description does not introduce any ambiguity about inputs, making this dimension trivially satisfied.

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's function: listing every workflow draft with node and edge counts. It also mentions a specific use case (recovering a workflow_id), making its purpose unambiguous.

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?

It explicitly instructs when to use this tool: to recover a workflow_id before creating a duplicate, preventing unintended duplicates. This is direct and actionable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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/Particle-Academy/fancy-flow-mcp-js'

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