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meta-ads-mcp-server

meta_get_adsets

List ad sets for a Meta ad account, filter by campaign or status, and retrieve targeting, budget, optimization, and schedule details.

Instructions

List ad sets for a Meta ad account, optionally filtered by campaign. Returns targeting, budget, optimization, and schedule info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
cursorNoPagination cursor from previous response
campaignIdNoFilter by campaign ID
adAccountIdYesAd account ID (e.g., act_123456789)
statusFilterNoFilter by entity status
Behavior3/5

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

There are no annotations, so the description carries the burden of behavioral disclosure. It does reveal the kind of data returned (targeting, budget, optimization, schedule), which is helpful. However, it does not mention pagination behavior, status filtering defaults, or any read-only or rate-limit implications, leaving gaps beyond what the schema provides.

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?

The description is a single, efficient sentence that front-loads the core action and resource, then adds the optional filter and a concise summary of returned information. Every clause earns its place without redundancy.

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, the description helpfully summarizes what the tool returns, which is valuable. Still, it omits practical context such as pagination via cursor, how statusFilter interacts with results, and whether archived/deleted adsets are included by default. For a five-parameter list tool, this is adequate but not fully complete.

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 description coverage is 80%, so most parameters are already documented structurally. The description adds minimal parameter meaning beyond mentioning the optional campaign filter, which is already described in the schema. It does not clarify the behavior of limit, cursor, or statusFilter, but the schema covers these sufficiently.

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 states a specific verb and resource: 'List ad sets for a Meta ad account.' It also clarifies the optional campaign filter, which distinguishes it from sibling tools like meta_get_campaigns and meta_get_ads. The scope is immediately clear.

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 clearly implies when to use the tool: when you need ad set level details for a Meta ad account, optionally scoped by campaign. It does not explicitly name alternatives or exclusions, but the context is clear enough for an agent to select it over campaign- or ad-level tools.

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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