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DatalisHQ

ZuckerBot

by DatalisHQ

zuckerbot_create_seed_audience

Build a Meta custom audience from hashed CAPI user data filtered by CRM lifecycle stage to create retargeting audiences from first-party data.

Instructions

Build a Meta custom audience from hashed CAPI user data stored for a business, filtered by CRM lifecycle stage (e.g., 'lead', 'customer'). Use this as the first step to create retargeting or reactivation audiences from your own first-party CRM data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoOptional audience name override
business_idNoOptional business ID override
min_contactsNoMinimum matched contacts required before creation
source_stageYesCRM lifecycle or source stage to seed from
lookback_daysNoHow many days of CAPI events to include
Behavior3/5

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

No annotations provided, so description carries full burden. Discloses use of hashed CAPI data and filtering, but omits details on permissions, idempotency, or what happens if audience already exists.

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?

Two sentences: first states action and resource, second gives usage guidance. No unnecessary words or repetition.

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

Completeness3/5

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

With no output schema, description should mention return value (e.g., audience ID) and prerequisites like CAPI setup. Misses these, but covers core functionality well.

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?

Schema covers all 5 parameters. Description adds value by explaining source_stage with examples and linking audience building to hashed CAPI data.

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?

Clearly states it builds a Meta custom audience from hashed CAPI data filtered by CRM stage. Distinguishes from sibling audience tools like create_lookalike_audience and list_audiences by specifying the data source and purpose.

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?

Explicitly says use as first step for retargeting/reactivation from first-party CRM data. Does not exclude alternatives, but context and sibling tools provide implicit guidance.

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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