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algoyandreina1236-web

Meta Ads MCP

get_ad_video

Fetch video details, direct download link, and processing status for Meta ad videos. Poll until status is 'ready' to avoid thumbnail errors in creatives.

Instructions

Get video details and source URL for a Meta ad video creative. Returns the video source URL (direct download link), thumbnail URL, processing status, and metadata (title, description, duration).

Also useful for polling after bulk_upload_ad_videos: video_status is "processing" while Meta is still transcoding and "ready" when the real video frames (and a usable thumbnail) are available. Calling create_ad_creative before status is "ready" returns an error because the only thumbnail Meta returns during processing is a generic placeholder that would be permanently stored on the creative.

Provide either ad_id (to auto-extract the video from the ad creative) or video_id directly. Providing account_id is strongly recommended — it enables the advideos edge which works with Business Manager tokens (avoids error 100/33 and error #10 on account-uploaded videos).

Args: ad_id: Meta Ads ad ID (will extract video_id from the ad creative) video_id: Meta video ID (use this if you already have it from get_ad_creatives) account_id: Ad account ID (e.g. "act_123" or "123"). Enables advideos edge lookup. access_token: Meta API access token (optional - will use cached token if not provided)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ad_idNo
video_idNo
account_idNo
access_tokenNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

No annotations are provided, so the description carries the full burden. It discloses the processing status lifecycle ('processing' vs 'ready'), the error consequence for premature creative creation, and the rationale for using the advideos edge with account_id. This goes well beyond a simple read 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 structured with a purpose statement, usage context, and parameter details. Every sentence adds value—the polling explanation, the account_id recommendation, and the Args list are all necessary. It is front-loaded with the core purpose and avoids redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is complete for a tool with an output schema. It covers the return values, the critical polling behavior, error scenarios, and parameter selection. The guidance on when to use versus when not to use create_ad_creative provides essential context for correct invocation.

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 detailing each parameter in the Args section: ad_id extracts video, video_id for direct use, account_id enables edge lookup, and access_token defaults to cached token. This adds substantial meaning beyond raw schema types.

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 the tool's function: 'Get video details and source URL for a Meta ad video creative' and lists specific return values (video source URL, thumbnail URL, processing status, metadata). It distinguishes itself from siblings like get_ad_image and create_ad_creative by focusing on video retrieval and polling.

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

Usage Guidelines5/5

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

The description provides explicit when-to-use guidance: 'useful for polling after bulk_upload_ad_videos' and a clear when-not-to-use warning: 'Calling create_ad_creative before status is "ready" returns an error'. It also explains when to provide which ID and recommends account_id for avoiding specific errors.

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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