Google_ads

Gads List Campaigns

gads_list_campaigns

Read-onlyIdempotent

List all campaigns in your Google Ads account. Returns campaign names, IDs, statuses, budgets, and types. Use to overview account structure or find a campaign ID for detailed analysis.

Input Schema

Name	Required	Description
`limit`	No	Maximum number of campaigns to return (default 50)
`status`	No	Filter by campaign status (optional, returns all if omitted)
`customer_id`	Yes	Google Ads customer ID (e.g., "1234567890" or "123-456-7890")

Output Schema

Name	Required	Description	Default
`results`	No	List of campaigns from GAQL search results

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedMay 8, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "properties": {
+    "results": {
+      "description": "List of campaigns from GAQL search results",
+      "items": {
+        "properties": {
+          "campaign": {
+            "description": "Campaign resource data",
+            "properties": {
+              "advertising_channel_type": {
+                "description": "Advertising channel type",
+                "type": "string"
+              },
+              "bidding_strategy_type": {
+                "description": "Bidding strategy type",
+                "type": "string"
+              },
+              "id": {
+                "description": "Campaign ID",
+                "type": "string"
+              },
+              "name": {
+                "description": "Campaign name",
+                "type": "string"
+              },
+              "status": {
+                "description": "Campaign status (ENABLED, PAUSED, REMOVED)",
+                "type": "string"
+              }
+            },
+            "type": "object"
+          },
+          "campaign_budget": {
+            "description": "Campaign budget information",
+            "properties": {
+              "amount_micros": {
+                "description": "Budget amount in micros",
+                "type": "number"
+              }
+            },
+            "type": "object"
+          }
+        },
+        "type": "object"
+      },
+      "type": "array"
+    }
+  },
+  "type": "object"
+}

Changed1 schema field changedMay 6, 2026

addedInput schema / examples

Added value: +[
+  {
+    "customer_id": "1234567890"
+  },
+  {
+    "customer_id": "123-456-7890",
+    "limit": 25,
+    "status": "ENABLED"
+  }
+]

First observedApr 22, 2026

TDQS

A4.3/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description is not burdened with safety disclosure. It adds value by specifying the fields returned (names, IDs, statuses, budgets, types). No contradictions with annotations. However, it could mention pagination or performance implications for large accounts.

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 action verb 'List'. Every sentence adds value: first states purpose and return data, second gives usage guidance. No wasted words.

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 presence of an output schema and robust annotations, the description is complete. It covers the tool's purpose, return values, and a common use case. The parameter count (3, 1 required) is moderate and well-addressed by the schema.

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% with descriptions for all three parameters. The description does not add meaning beyond the schema (e.g., does not explain limit default behavior or customer_id format). Baseline 3 is appropriate as the schema already provides the necessary semantics.

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 'List all campaigns' with a specific verb and resource. It lists the return fields (names, IDs, statuses, budgets, types) and provides a use case: overview account structure or find a campaign ID. This effectively distinguishes it from sibling tools like gads_campaign_metrics or gads_get_campaign.

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 gives explicit usage context: 'Use to overview account structure or find a campaign ID for detailed analysis.' While it does not mention when not to use or directly compare to siblings, the guidance is clear and actionable. The context signals and sibling list further aid differentiation.

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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