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google_ads_change_history_list

List recent change events on a Google Ads account for audit-trail diagnosis. Returns changes sorted newest-first, capped at 100, with details like timestamps, resource types, operations, and user emails.

Instructions

List the most recent change_event rows on a Google Ads account, sorted newest-first and capped at 100. Returns [{change_date_time (Google-formatted timestamp string returned verbatim from the API — typically 'YYYY-MM-DD HH:MM:SS.ffffff+00:00' but no format coercion is applied, so callers should parse defensively), change_resource_type (enum string e.g. 'CAMPAIGN', 'CAMPAIGN_BUDGET', 'AD_GROUP', 'AD', 'CAMPAIGN_BID_MODIFIER'), resource_change_operation ('CREATE'|'UPDATE'|'REMOVE' as enum string), changed_fields (list of dotted field paths), user_email}]. Read-only. Defaults to the last 14 days when dates are omitted; the API rejects an open-ended range so mureo always fills one. Use this for audit-trail diagnosis. For narrower bid/budget-only filtering use google_ads_cost_increase_investigate.

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.
start_dateNoInclusive start date ('YYYY-MM-DD'). Default: today - 14 days.
end_dateNoInclusive end date ('YYYY-MM-DD'). Default: today.
Behavior5/5

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

No annotations are provided, but the description fully compensates by declaring the tool as read-only, detailing the return format with field types and examples, and explaining the default date filling behavior. 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and front-loaded with purpose and output details. At about 120 words, it is slightly verbose but not wasteful.

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?

Without an output schema, the description provides comprehensive details on the return fields and their formats. It covers edge cases like default dates and API constraints, making it fully complete.

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%, and the description adds context such as default values for dates and fallback behavior for customer_id. This enhances understanding beyond the schema alone.

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 it lists change_event rows, sorted newest-first, capped at 100. It specifies the resource (Google Ads account) and differentiates from sibling tool google_ads_cost_increase_investigate for narrower filtering.

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 states when to use (audit-trail diagnosis) and when not (use google_ads_cost_increase_investigate for bid/budget filtering). Also clarifies default date range and API constraint on open-ended ranges.

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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