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text_to_image_list

Retrieve a paginated list of text-to-image generation tasks, sorted by creation date to track and manage your image outputs.

Instructions

List text-to-image tasks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page_numNoPage number
page_sizeNoItems per page (max 50)
sort_byNoSort order: '+created_at' (oldest first) or '-created_at' (newest first)
Behavior2/5

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

With no annotations, the description should disclose behaviors like pagination, sorting, or return format, but it only states 'List text-to-image tasks.' It omits how the listing works (e.g., paginated, sorted).

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

Conciseness3/5

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

The description is extremely concise (5 words) but is adequately front-loaded. However, it sacrifices informativeness; a few more words to cover pagination or filtering would improve it.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description should explain what the response contains. It does not mention that it returns a list of tasks with pagination metadata, leaving the agent uninformed about the return structure.

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 coverage is 100%, so baseline is 3. The description adds no additional meaning beyond what the schema already provides (page_num, page_size, sort_by).

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 'List text-to-image tasks' uses a specific verb ('List') and clearly identifies the resource ('text-to-image tasks'), making it distinct from sibling list tools that target different task types.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus other list tools (e.g., text_to_image_list vs. image_to_3d_list). The description lacks any contextual cues for selection.

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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