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JuliDir
by JuliDir

List Flowise Flows

flowise_list_flows
Read-onlyIdempotent

List all chatflows and agentflows from your Flowise instance with optional type filtering and format selection.

Instructions

List all chatflows and agentflows in the Flowise instance.

This tool retrieves a summary of all available flows, including their deployment status, visibility, and categories.

Args: params: Input parameters containing optional flow_type filter and response_format.

Returns: A formatted list of all flows with their basic information.

Examples: - List all flows: Use with no parameters - List only agentflows: Use flow_type='AGENTFLOW' - Get JSON output: Use response_format='json'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate read-only, non-destructive, idempotent behavior. The description adds context on the returned summary (deployment status, visibility, categories) and output formats, enhancing transparency without contradiction.

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 structured with Args, Returns, and Examples sections, front-loaded with the main purpose, and every sentence provides useful information.

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 list tool with an output schema, the description covers input filtering, output format, and examples. No gaps remain.

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 input schema already includes clear descriptions for flow_type and response_format. The description adds examples and usage context, providing additional meaning 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 precisely states 'List all chatflows and agentflows in the Flowise instance' with a clear verb and resource, and it distinguishes from siblings like flowise_get_flow and flowise_analyze_flow.

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 provides examples for different use cases (no params, flow_type filter, response_format) but does not explicitly exclude when to use alternatives for detailed single flow info.

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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