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itallstartedwithaidea

google-ads-mcp

get_change_history

Discover who changed what and when in your Google Ads account, including change details, to audit activity, debug performance issues, and spot unauthorized edits.

Instructions

Return account change history — who changed what, when, and what it changed from/to.

Invaluable for audits, debugging performance drops, and tracking unauthorized changes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoLook-back window (7, 14, 30). Defaults to 7. Max 90.
limitNoMax rows. API hard limit is 10,000.
customer_idYesGoogle Ads account ID.
resource_typeNoOptional filter — 'CAMPAIGN', 'AD_GROUP', 'AD', 'AD_GROUP_CRITERION', 'CAMPAIGN_CRITERION', 'CAMPAIGN_BUDGET', 'BIDDING_STRATEGY'
login_customer_idNoOptional MCC ID.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the full burden. It accurately conveys the read-only nature ('Return') and the scope of data, but doesn't disclose potential limitations (e.g., whether changes are limited to certain resource types by default, whether there is any delay in data availability, or if special permissions are needed). This is adequate but not highly transparent.

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?

Two sentences, front-loaded with the main purpose and valuable context. No filler or repetition. Every sentence earns its place.

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?

The output schema exists, so return values are covered. The description explains the core behavior and gives practical use cases. For a read-only history tool with excellent schema coverage, this is complete and sufficient.

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 100%, so the schema already documents all parameters with descriptions and defaults. The tool description adds no additional parameter-specific context beyond what the schema provides, so the baseline of 3 is appropriate.

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 ('Return') and resource ('account change history') and clearly explains what information is provided ('who changed what, when, and what it changed from/to'). This distinguishes it from all sibling tools, none of which mention change history.

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 description provides clear use cases: 'audits, debugging performance drops, and tracking unauthorized changes.' While it doesn't explicitly exclude alternatives or name conditional alternatives, it gives strong contextual guidance on when to invoke this tool.

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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