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kLOsk

Google Ads - AdLoop

by kLOsk

landing_page_analysis

Read-only

Combine ad final URLs with GA4 data to identify landing pages that convert or waste ad spend. Reveals pages with zero conversions and orphaned URLs.

Instructions

Analyze which landing pages convert and which don't.

Combines ad final URLs with GA4 page-level data to show paid traffic sessions, conversion rates, bounce rates, and engagement per landing page. Identifies pages that get ad clicks but zero conversions and orphaned URLs. Date format: "YYYY-MM-DD". Empty = last 30 days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_range_startNo
date_range_endNo
customer_idNo
property_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. Description adds context about combining ad final URLs with GA4 data and identifying specific issues (orphaned URLs), which goes beyond annotations. However, does not discuss data freshness, rate limits, or other behavioral traits. Adequate but not exceptional.

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?

Four sentences, front-loaded with core purpose. Efficiently conveys key details with minimal waste. Could be slightly more structured but overall concise.

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 output schema present, return values are covered. Description explains data sources and identification of key issues (zero conversions, orphaned URLs). For a read-only analysis tool, this is fairly complete, though more explicit prerequisites (e.g., required IDs) would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% (no descriptions in input schema). Description explains date format and default behavior but does not clarify customer_id or property_id fields. Only partial compensation for missing schema descriptions.

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?

Description clearly states the verb 'analyze' and specific resource 'landing pages', with concrete outcomes like identifying converting vs non-converting pages, zero conversions, and orphaned URLs. Distinct from sibling tools like analyze_campaign_conversions or get_ad_performance.

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 explicit guidance on when to use this tool vs alternatives like analyze_campaign_conversions or get_ad_performance. The description implies use for landing page analysis with paid traffic, but lacks when-not-to-use or alternative suggestions.

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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