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pralayasimha23

meta-ads-mcp

get_ad_image

Fetch and display a Meta ad image by ad ID for direct visual analysis in your LLM.

Instructions

Get, download, and visualize a Meta ad image in one step. Useful to see the image in the LLM.

Args:
    ad_id: Meta Ads ad ID
    access_token: Meta API access token (optional - will use cached token if not provided)

Returns:
    The ad image ready for direct visual analysis

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ad_idYes
access_tokenNo
Behavior3/5

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

There are no annotations, so the description bears the full burden. It discloses cached-token behavior and that the result is ready for visual analysis, but it does not explicitly state this is a read-only operation or describe any limitations/errors. These are useful additions but leave some behavioral context unstated.

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 compact and well-organized with Args and Returns sections. Every sentence contributes: purpose, usage, parameter guidance, and return behavior. No filler or redundancy.

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?

For a two-parameter tool with no output schema, the description covers purpose, arguments, and return value ('ready for direct visual analysis'). It is sufficient for an agent to invoke the tool, though it could mention error cases or specify the image format.

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%, and the description compensates by documenting both arguments. 'ad_id: Meta Ads ad ID' clarifies the identifier, and 'access_token ... will use cached token if not provided' adds the critical optional-token behavior. This goes beyond the bare schema but is not exceptionally detailed.

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 uses a specific verb phrase 'Get, download, and visualize a Meta ad image in one step', clearly identifying the resource and action. It differentiates from siblings like get_ad_video and upload_ad_image by emphasizing visual inspection of ad images in the LLM.

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 sentence 'Useful to see the image in the LLM' provides clear when-to-use context for visual verification. It does not explicitly state exclusions or alternatives (e.g., use get_ad_video for videos), but the image-focused wording implicitly distinguishes it from video/upload 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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