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meta_ads_ad_sets_list

List ad sets from a Meta Ads account to audit budgets, targeting, and statuses, optionally filtered by campaign.

Instructions

Lists ad sets in a Meta Ads account, optionally scoped to a single parent campaign. Returns id, name, campaign_id, status, effective_status, daily_budget, lifetime_budget, optimization_goal, billing_event, and targeting_summary per ad set. Read-only. Ad sets are where budgets and targeting live — use this to audit delivery settings or to find an ad_set_id before creating ads.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idNoMeta Ads account ID in the format 'act_XXXXXXXXXX' (e.g. 'act_1234567890'). Optional — falls back to META_ADS_ACCOUNT_ID from the configured credentials. The leading 'act_' prefix is required.
campaign_idNoRestrict results to ad sets under this campaign. Omit to list across the whole account.
limitNoMaximum records to return in a single call. Default 50. Meta Graph API caps at 1000 per page; for larger result sets reduce limit and filter client-side on the returned fields.
Behavior4/5

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

Explicitly states 'Read-only' and lists the returned fields. Without annotations, this is good behavioral disclosure. Does not mention errors or pagination beyond the limit parameter description in the schema.

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?

Three concise, front-loaded sentences with no fluff. First sentence states action and scope, second lists fields, third gives use cases.

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?

Includes returned fields and use cases, but lacks information on potential errors or permissions. Still sufficient for a list tool.

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 parameter descriptions. The description adds little beyond restating the optional scoping and purpose. Baseline 3 is appropriate.

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 it lists ad sets in a Meta Ads account, optionally scoped to a campaign, and enumerates specific returned fields. This distinguishes it from sibling tools like meta_ads_ad_sets_get (single) or meta_ads_ad_sets_create (mutation).

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?

It provides clear usage scenarios: audit delivery settings or find ad_set_id before creating ads. However, it does not explicitly name alternative tools or state when not to use it.

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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