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generate_names

Generate Meta Ads object names that follow a standardized naming convention. Specify object type and details to produce correctly formatted campaign, ad set, or ad names.

Instructions

Generate correctly named Meta Ads object following naming convention.

Convention (learned from ExampleBrand):

  • Campaign: Objective | Product | Funnel | BudgetModel

  • Ad Set: AudienceType | AgeRange | Geo | ExclusionFlag

  • Ad: Hook | Format | Version

Args: object_type: 'campaign', 'adset', or 'ad'. objective: For campaigns: Sales, Traffic, Leads, Awareness, Engagement. product: For campaigns: product/offer name (client-specific). funnel: For campaigns: TOFU, MOFU, BOFU, RT. budget_model: For campaigns: ABO, CBO. audience_type: For ad sets: Broad, Broad-Interest, RT-WV-30d, etc. age_range: For ad sets: 24-55, 18-45, All. geo: Country code (default GR). exclusion_flag: For ad sets: Adv, ExPurch, None. hook: For ads: concept name in kebab-case (e.g., Employee-Blame). format_code: For ads: REEL, VID, IMG, REEL+FEED. version: For ads: V1, V2, V3.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
object_typeYes
objectiveNo
productNo
funnelNo
budget_modelNo
audience_typeNo
age_rangeNo
geoNoGR
exclusion_flagNoNone
hookNo
format_codeNo
versionNoV1
Behavior4/5

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

Despite no annotations, the description clearly indicates the tool generates names without side effects. It does not describe return format but is transparent about its non-destructive nature.

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 front-loaded with purpose and well-structured. It is somewhat lengthy due to parameter details, but every sentence adds value.

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?

For a tool with 12 parameters and no output schema, the description is quite complete. It covers parameter values and conventions, though it could mention the output format more explicitly.

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

Parameters5/5

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

With 0% schema coverage, the description fully compensates by listing allowed values for each parameter, defaults, and conventions, providing critical context 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 the tool generates names for Meta Ads objects following a naming convention. It distinguishes from siblings like create_campaign by focusing on naming, not creation.

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?

While the description does not explicitly state when to use versus alternatives, the naming focus is clear. The extensive parameter documentation implicitly guides usage.

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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