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algoyandreina1236-web

Meta Ads MCP

get_adsets

Fetch ad sets from a Meta Ads account. Filter by campaign ID to narrow results for specific campaigns.

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
limitNo
account_idYes
campaign_idNo
access_tokenNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Without annotations, the description provides some behavioral context by explaining the access_token caching behavior ('will use cached token if not provided') and the default limit. However, it does not discuss error behavior, pagination, or explicitly confirm it is a read-only operation.

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 compact docstring with a one-sentence purpose followed by a numbered Args list. Every line provides necessary information; there is no fluff or repetition.

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?

The tool has 4 parameters and no schema descriptions, but the description covers all parameters and the core behavior. Missing pieces are usage guidance relative to sibling tools and explicit handling of edge cases or errors, though the output schema covers return values.

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?

The input schema provides only titles and types with no descriptions, so the description is the sole source of parameter meaning. It explains the account_id format ('act_XXXXXXXXX'), the optional access_token with caching, the limit default (10), and the campaign_id filter, adding significant value 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 opens with a clear statement: 'Get ad sets for a Meta Ads account with optional filtering by campaign.' This specifies the verb (Get), resource (ad sets), and scope (account, optional campaign filter), distinguishing it from sibling tools like get_campaigns or get_ads.

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

Usage Guidelines2/5

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

No guidance is given about when to use this tool versus get_adset_details (likely for a single ad set) or other sibling tools. The description does not mention exclusions or alternative scenarios, leaving the agent to infer from the 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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