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DatalisHQ

ZuckerBot

by DatalisHQ

zuckerbot_get_creative_status

Poll the asynchronous upload queue for an intelligence campaign to verify Meta ad-creation jobs are complete. Returns all_complete=true when every job has finished.

Instructions

Check the asynchronous upload queue for an intelligence campaign to see if Meta ad-creation jobs are complete. Poll this after zuckerbot_upload_creative when the initial response shows creative_status='uploading'. Returns all_complete=true when every queued job has finished for review; intelligence activation is temporarily disabled.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
campaign_idYesIntelligence campaign ID
Behavior4/5

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

With no annotations, the description carries full burden. It discloses the poll returns all_complete=true when jobs finish and notes intelligence activation is temporarily disabled. However, it doesn't mention rate limits or other edge cases.

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 concise (two sentences) and front-loaded with purpose, then usage guidance. No wasted words.

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 simple polling tool with 1 param and no output schema, the description covers purpose, usage, return value, and a state note. It feels complete given the context.

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% with campaign_id described as 'Intelligence campaign ID'. The description adds no extra meaning beyond this.

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 checks the async upload queue for a campaign to see if Meta ad-creation jobs are complete. It uses specific verb 'check' and resource 'queue', and distinguishes itself from siblings like zuckerbot_upload_creative and zuckerbot_get_campaign.

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?

The description explicitly advises to poll this after zuckerbot_upload_creative when creative_status='uploading', providing clear when-to-use context and an alternative (the upload tool).

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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