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Opus Growth, Ad Platforms MCP Connector

Update Campaign

update_campaign
Destructive

RENAMES a Google Ads CAMPAIGN and/or changes its status — the campaign-level counterpart of update_ad_group. Renaming is the half update_campaign_status cannot do, so restructuring an account (merging two campaigns, changing a naming convention) no longer has to drop back into the Google Ads interface. name = the new campaign name; it must be unique in the account. status: 'ENABLED' | 'PAUSED' | 'REMOVED'. REMOVED DELETES the campaign: it leaves the campaign list and CANNOT be re-enabled — its reporting history stays but the campaign itself is gone for good, so pause first if you are unsure. Only the fields you pass are changed; leave one empty to keep it. Passing REMOVED ignores name, because a removed campaign cannot be renamed. confirm=false → dry-run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
statusNo
confirmNo
campaign_idYes
customer_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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TDQS

A4.8/5.0
Behavior5/5

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

Annotations flag destructiveHint and non-idempotency, but the description adds the critical operational facts: REMOVED deletes the campaign, cannot be re-enabled, kills name changes, reporting history is retained, only passed fields change, and confirm=false is a dry-run. This is rich disclosure well beyond the structured hints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core action, then details in a logical order (rename, status, destructive semantics, partial-update behavior, dry-run). Dense but nearly every sentence carries required guidance; slightly long but not padded.

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?

Output schema exists so return values need not be described. For a destructive mutation tool, the description covers irreversibility, partial updates, dry-run, and field interactions, leaving nothing essential missing for correct invocation.

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 0%, so the description carries the burden, and it explains name (new value, must be unique in account), the status enum values, confirm as dry-run, and the REMOVED-ignores-name interaction. It leaves customer_id and campaign_id unstated, a minor gap for two identifier parameters.

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?

States a specific verb and resource ('RENAMES a Google Ads CAMPAIGN and/or changes its status') and explicitly positions itself against siblings, calling out update_ad_group and update_campaign_status. The agent can distinguish it from update_campaign_status without opening either schema.

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?

Explicitly says what update_campaign_status cannot do ('renaming'), gives the motivating scenario (merging campaigns, changing naming conventions), and advises 'pause first if you are unsure' before an irreversible REMOVED. When-to-use and when-to-be-cautious are both covered.

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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