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eneelkant

google-ads-mcp

by eneelkant

add_keywords

Batch-add keywords to a Google Ads ad group with custom match types and CPC bids, streamlining campaign targeting updates.

Instructions

Add keywords to an ad group (batch operation).

Args: customer_id: Google Ads customer ID. ad_group_id: Ad group ID to add keywords to. keywords: List of keyword dicts, each with: - text (str): The keyword text. - match_type (str): 'EXACT', 'PHRASE', or 'BROAD'. - cpc_bid (float, optional): Max CPC bid in currency.

Example: keywords=[ {"text": "buy shoes online", "match_type": "PHRASE", "cpc_bid": 1.50}, {"text": "running shoes", "match_type": "BROAD"}, {"text": "[red running shoes]", "match_type": "EXACT", "cpc_bid": 2.00}, ]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordsYes
ad_group_idYes
customer_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior3/5

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

Annotations already indicate readOnlyHint=false, idempotentHint=false, and destructiveHint=false, so the mutation semantics are covered. The description adds 'batch operation' and optional cpc_bid details, but does not discuss failure modes, duplicate handling, quotas, or other operational consequences. No contradiction with annotations.

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?

The description is front-loaded with the core purpose, followed by a compact Args list and a helpful example. Every sentence adds value, with no filler or repetition.

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?

All invocation-critical information is present: customer_id, ad_group_id, and keyword structure with allowed match types and optional bid. Minor gaps remain around maximum batch size, duplicate keyword behavior, and return/error details, but these are not essential for a correct call.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must fully compensate. It documents all three parameters, including the nested keyword dict structure, required and optional fields, allowed match_type values, and a concrete example. This is excellent parameter-level guidance.

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 and resource: 'Add keywords to an ad group (batch operation).' This clearly identifies the action and differentiates it from sibling tools like remove_keyword, update_keyword_bid, and list_keywords.

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 makes the intended use clear: adding one or more keywords to a specific ad group. It does not explicitly state when not to use it or point to alternatives, but the sibling set and wording provide sufficient context.

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