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google_ads_campaigns_get

Retrieve complete details for a specific Google Ads campaign using its campaign ID. Returns advanced fields like start date, end date, network settings, and bidding strategy status.

Instructions

Fetches the full detail record for a single campaign by ID. Returns the same fields as campaigns.list plus start_date, end_date, network_settings, geo_target_type, and bidding_strategy_system_status. Read-only. Use this when you already have a campaign_id; for discovery use google_ads_campaigns_list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
campaign_idYesCampaign ID as returned by campaigns.list (numeric string, e.g. '23743184133').
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.
Behavior3/5

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

Annotations are not provided, so the description carries the full burden. It declares the operation is read-only and lists additional fields returned, but does not detail permissions, rate limits, or error handling. For a simple get operation, this is adequate but not exceptional.

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 three sentences, all front-loaded with the essential information. No unnecessary words or repetition. It is concise and easy to parse.

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 no output schema, the description specifies the return fields (same as list plus specific extras). For a straightforward get operation, this provides sufficient context for an agent to understand what to expect.

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% with descriptions already present. The description adds value by explaining that customer_id is optional and falls back to environment variables, and that campaign_id comes from campaigns.list. This context enriches understanding beyond the schema.

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 the tool fetches the full detail record for a single campaign by ID. It specifies the action (fetches), the resource (campaign), and distinguishes it from the sibling google_ads_campaigns_list by mentioning it's for when you already have a campaign_id.

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?

The description explicitly advises when to use this tool ('when you already have a campaign_id') and when to use an alternative ('for discovery use google_ads_campaigns_list'). This provides clear guidance on tool selection.

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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