Skip to main content
Glama

flux_get_tasks_batch

Retrieve the status and results of multiple Flux image generation tasks in a single request, reducing API calls compared to checking tasks individually.

Instructions

Query multiple Flux image generation tasks at once.

Efficiently check the status of multiple tasks in a single request.
More efficient than calling flux_get_task multiple times.

Use this when:
- You have multiple pending generations to check
- You want to get status of several images at once
- You're tracking a batch of generations

Returns:
    Status and result information for all queried tasks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idsYesList of task IDs to query. Maximum recommended batch size is 50 tasks.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries burden. It states 'Efficiently check status' and 'returns status and result information', but does not disclose rate limits, authentication needs, or error behavior—adequate but minimal.

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?

Description is concise, front-loaded with purpose, and uses bullet points for clarity—every sentence adds value without redundancy.

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?

With output schema present and simple tool, description covers usage and return basics. Lacks details on invalid IDs or error handling, but still fairly complete.

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

Parameters3/5

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

Schema has 1 parameter with description including max batch size (100% coverage). Description adds context on efficiency and use cases but does not add new parameter meaning, meeting baseline 3.

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 'Query multiple Flux image generation tasks at once' with a specific verb and resource, and it distinguishes itself from the sibling flux_get_task by highlighting batch efficiency.

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?

Provides explicit when-to-use scenarios (multiple pending generations, batch tracking) and mentions efficiency over multiple calls, but lacks when-not-to-use or alternatives beyond the sibling.

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

Install Server

Other Tools

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/AceDataCloud/FluxMCP'

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