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google_ads_search_terms_report

List real search queries that triggered your Google Ads, with metrics on impressions, clicks, cost, conversions, and CTR. Filter by campaign or ad group for targeted analysis.

Instructions

List actual user search queries that triggered ads in the account over a reporting window. Returns one row per search term shaped as {search_term, metrics}, where the metrics object contains impressions, clicks, cost_micros, cost (currency-formatted), conversions, and ctr. The rows are filterable by campaign_id and/or ad_group_id but those IDs are NOT echoed back in the output — scope your query before calling. Read-only. Use this for raw query logs when you need to eyeball the terms yourself. For rule-based add/exclude candidates use google_ads_search_terms_review; for intent-class distribution use google_ads_search_terms_analyze; for campaign-level aggregates without query breakdown use google_ads_performance_report.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idNoGoogle Ads customer ID as a 10-digit string without dashes (e.g. '1234567890'). Optional — falls back to GOOGLE_ADS_CUSTOMER_ID / GOOGLE_ADS_LOGIN_CUSTOMER_ID from the configured credentials when omitted.
campaign_idNoRestrict results to a single campaign by numeric ID. Omit to include all campaigns.
ad_group_idNoRestrict results to a single ad group by numeric ID. Omit to include all ad groups under the campaign filter (or the entire account if campaign_id is also omitted).
periodNoReporting window for the metrics. Default 'LAST_30_DAYS'. Use a shorter window (LAST_7_DAYS / LAST_14_DAYS) when diagnosing recent changes; use LAST_90_DAYS for trend baselines.
Behavior4/5

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 states the tool is 'Read-only' and explains that campaign_id and ad_group_id are not echoed back in the output. It also describes the return shape and metrics. It does not mention rate limits or pagination, but the core behavioral traits are covered.

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 and front-loaded with the main purpose. It uses a structured format with clear sections. It could be slightly more compact, but every sentence adds value without 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?

Given the tool's low complexity (4 optional params, no required), the description is complete. It explains the output shape, read-only nature, filtering behavior, and provides alternatives. With no output schema, the description adequately covers return values.

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 coverage is 100%, so the schema already documents all parameters. The description adds value by explaining the default for period, recommending shorter windows for recent changes, and noting that IDs are not echoed back. This goes beyond what the schema provides.

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 that the tool lists actual user search queries that triggered ads, with one row per search term and specific metrics. It distinguishes itself from sibling tools by naming alternatives (search_terms_review, search_terms_analyze, performance_report) and their purposes.

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 explicitly states when to use this tool: 'for raw query logs when you need to eyeball the terms yourself.' It contrasts with three sibling tools, providing clear when-not-to-use guidance and naming alternatives.

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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