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get_adsets

Retrieve ad sets from your Meta Ads account, with optional filtering by campaign ID.

Instructions

Get ad sets for a Meta Ads account with optional filtering by campaign.

Args:
    account_id: Meta Ads account ID (format: act_XXXXXXXXX)
    access_token: Meta API access token (optional - will use cached token if not provided)
    limit: Maximum number of ad sets to return (default: 10)
    campaign_id: Optional campaign ID to filter by

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idYes
access_tokenNo
limitNo
campaign_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as pagination behavior, ordering, or side effects. It only describes the basic operation (read) without clarifying limits or error handling, which is insufficient given the absence of annotations.

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 with a single sentence summary followed by a structured Args block. It is front-loaded and every sentence provides useful information, though the Args block slightly repeats schema info without being verbose.

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?

Given the tool simplicity and existence of an output schema, the description covers basic functionality and parameters. However, it lacks context on edge cases (no results), error messages, or rate limits, leaving it minimally complete for a production setting.

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 description coverage is 0%, so the description compensates by explaining account_id format ('act_XXXXXXXXX'), access_token optionality with cached token note, limit default, and campaign_id optionality. This adds value beyond the schema, though it could detail limit behavior or filter semantics more.

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 'Get ad sets for a Meta Ads account with optional filtering by campaign.' It specifies the verb 'Get', the resource 'ad sets', the context 'Meta Ads account', and an additional feature. This distinguishes it from siblings like get_ads (different resource) and get_adset_details (specific ad set).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions optional filtering by campaign but does not explicitly state when to use this tool vs alternatives like get_adset_details or get_ads. There is no guidance on prerequisites or use cases, leaving the agent to infer context from the tool name.

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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