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kadam-official

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kadam_adv_create_audience

Create a targeted audience for your ad campaigns. Specify audience type, name, expiration, and tracking conditions like clicks or conversions.

Instructions

Create an audience. Required fields by type: • audience_code (pixel) — name, expireDays; optional createFingerprint. • audience (stat) — name, expireDays, campaignIds, plus >=1 of hasClicks/hasConversions/hasHolds/hasRejects. • s2s — name, expireDays, linkedAudienceIds (pixel/fingerprint IDs). • fingerprint — not created directly; set createFingerprint=true on a pixel/stat audience.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYes
nameYes
expireDaysYes
campaignIdsNoComma-separated campaign IDs (required for type=audience)
hasClicksNoTrack clicks (type=audience)
hasConversionsNoTrack conversions (type=audience)
hasHoldsNoTrack holds (type=audience)
hasRejectsNoTrack rejects (type=audience)
linkedAudienceIdsNoComma-separated pixel/fingerprint audience IDs (required for type=s2s)
createFingerprintNoAlso create a linked fingerprint audience (type=audience_code or audience)
Behavior3/5

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

Annotations already indicate a write operation (readOnlyHint=false). The description adds context on field requirements per type but does not disclose side effects, auth needs, or rate limits.

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 description is concise and well-structured with bullet points per type. It avoids fluff, though could be slightly more compact.

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 10 parameters and no output schema, the description covers the main logic and required fields per type. It suffices for correct invocation, though it omits error conditions and response format.

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 coverage is 70%; the description adds meaning by grouping parameters by audience type and explaining conditional requirements (e.g., createFingerprint). It clarifies required vs optional beyond the schema.

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 'Create an audience' and differentiates between audience types (audience_code, audience, s2s, fingerprint). It is distinct from sibling tools like update/delete/get/list.

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?

The description provides required fields per type and notes that fingerprint is not created directly. It does not explicitly compare to siblings but implies this is the creation 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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