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flux_list_actions

Browse all available Flux AI tools and their use cases. Access categorized descriptions to identify the right function for image generation, editing, or context-aware tasks.

Instructions

List all available Flux tools and their use cases.

Reference guide for what each tool does and when to use it.

Returns: Categorized list of all tools with descriptions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adequately describes the return value ('Categorized list of all tools with descriptions') but omits safety characteristics like read-only status, rate limits, or caching behavior that would help an agent understand operational constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The three-sentence structure is appropriately sized and front-loaded with the core action. Minor redundancy exists between the first two sentences (both mention tool purposes/use cases), but the third sentence efficiently adds return value information.

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 this is a simple discovery tool with no parameters and an output schema exists, the description provides sufficient context by explaining what the tool returns. It meets the requirements for this complexity level without needing to elaborate on side effects or input validation.

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 tool has zero parameters and the schema is empty. Per evaluation rules, zero-parameter tools receive a baseline score of 4 since no parameter semantics are required beyond what the schema (vacuously) provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists Flux tools and their use cases, with specific verb and resource. It implicitly distinguishes from action-oriented siblings (edit/generate) by positioning itself as a discovery/reference tool, though it doesn't explicitly contrast with the similar sibling flux_list_models.

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 claims to provide guidance on 'when to use it' but only implies usage context (discovery/navigation) rather than explicitly stating conditions like 'use this when you don't know which tool to call' or contrasting with alternatives.

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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