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algoyandreina1236-web

Meta Ads MCP

get_ads

Fetch ads from a Meta Ads account using the account ID. Optionally filter by campaign, ad set, or limit the number of returned ads to get only what you need.

Instructions

Get ads for a Meta Ads account with optional filtering.

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 ads to return (default: 10) campaign_id: Optional campaign ID to filter by adset_id: Optional ad set ID to filter by

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
adset_idNo
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?

No annotations are provided, so the description must carry the full burden. It adds useful behavioral context: optional access_token falls back to cached token, limit defaults to 10, and filtering by campaign/adset is supported. However, it does not disclose pagination behavior, rate limits, or the exact scope of returned ads, leaving gaps.

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 one-sentence purpose followed by an argument list. Each line is informative and earns its place, though the arg list could be seen as slightly redundant with the schema. Overall efficient and readable.

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?

With an output schema present, return values need not be explained. The description covers purpose, all parameters, and some behavioral details (caching, defaults). It lacks explicit usage guidelines and deeper behavioral disclosure, but for a simple list tool it is reasonably complete.

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?

Schema description coverage is 0%, and the description fully compensates by explaining every parameter: account_id format, access_token optionality with fallback, limit default, and campaign/adset filter purposes. This goes well beyond the bare 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 'Get ads for a Meta Ads account with optional filtering,' which identifies the verb (get), resource (ads), and scope (Meta Ads account). This distinguishes it from siblings like get_ad_details (specific ad) and get_campaigns (campaigns).

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?

There is no guidance on when to use this tool versus alternatives such as get_ad_details or search_ads_archive. The description mentions optional filtering but does not explain when this listing tool is preferred over other ad-related 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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