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kLOsk

Google Ads - AdLoop

by kLOsk

get_asset_performance

Read-only

Retrieve per-asset details for Performance Max campaigns, including field type, primary status, and content. Summaries by status and field type are included.

Instructions

Get per-asset details for Performance Max campaigns.

Returns each asset's field_type (HEADLINE, DESCRIPTION, MARKETING_IMAGE, YOUTUBE_VIDEO, etc.), primary_status (ELIGIBLE, NOT_ELIGIBLE, PAUSED, PENDING), and content (text or image URL).

Note: per-asset performance labels (BEST/GOOD/LOW) are not available for PMax assets in Google Ads API v23. Use get_detailed_asset_performance to see which asset combinations Google selects most — the closest proxy for individual asset quality.

campaign_id: optional filter to a single PMax campaign. Includes by_status and by_field_type summaries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idNo
campaign_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. Description adds valuable context: lists returned fields, notes that per-asset performance labels are unavailable, and provides a proxy workaround. No contradictions.

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?

Concise at 4 sentences plus a bullet-style summary. Front-loaded with the main purpose, no wasted words.

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?

For a read-only tool with an output schema, the description adequately covers purpose, limitations, parameter usage, and return fields. No gaps given the context.

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 coverage is 0% so description carries the burden. It explains campaign_id as an optional filter but does not describe customer_id. Provides some but not full parameter guidance.

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?

Clearly states it gets per-asset details for Performance Max campaigns, listing specific fields (field_type, primary_status, content). Distinguishes from sibling get_detailed_asset_performance by noting the absence of performance labels.

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?

Explicitly notes when not to use (if performance labels are needed) and directs to an alternative (get_detailed_asset_performance). Also mentions campaign_id as optional filter.

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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