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Google Ads MCP Server

Get Change History

get_change_history
Read-only

Retrieve recent Google Ads account changes made by users, tools, or this server, including what changed, when, and by whom, to support weekly activity reviews.

Instructions

Recent changes made to the account (by users, tools, or this server): what changed, when, and by whom. Useful for a weekly review of account activity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax events to return (API requires a LIMIT <= 10000).
days_backNoHow many days of history to fetch (max 29 — the API only keeps change events for ~30 days).
customer_idYesThe Google Ads account to inspect.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds useful context by naming the change sources (users, tools, the server itself), but says nothing about pagination, event granularity, or truncation behavior beyond what the schema implies.

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 tight sentences, front-loaded with the resource and the returned fields, followed by the single use case. No filler or redundancy.

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?

An output schema exists so return values need not be explained, and readOnlyHint covers safety. The description is adequate for a simple read tool, though it could say more about the volume/ordering of events returned.

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 description coverage is 100% – limit, days_back, and customer_id are all documented in the schema, including the API limits. The description adds no parameter meaning, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource (recent account changes) with explicit facets: what changed, when, and by whom. It is unambiguous about what the tool returns, but it never differentiates itself from any sibling, which the 5-level requires.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

"Useful for a weekly review of account activity" implies a usage context, but there is no guidance on when NOT to use it, what alternatives exist, or prerequisites such as needing a valid customer_id. Usage is only implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.