Skip to main content
Glama

google_ads_callouts_create

Create a callout asset and link it to a Google Ads campaign in one call. Validates the 20-callout limit and returns the asset resource name or a clear error.

Instructions

Create a callout Asset and link it to a Google Ads campaign in a two-step mutate (AssetService then CampaignAssetService). Returns {resource_name} of the newly created asset, or {error:true, error_type:'validation_error', message} when the campaign already has 20 callouts (_MAX_CALLOUTS_PER_CAMPAIGN limit). Mutating — reversible only by google_ads_callouts_remove. The asset is minted per call, so identical text creates duplicate asset rows. For sitelink variants use google_ads_sitelinks_create.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
campaign_idYesCampaign ID as a numeric string without dashes (e.g. '23743184133'). Obtain via google_ads_campaigns_list.
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.
callout_textYesCallout text shown below the ad (e.g. 'Free shipping', '24/7 support'). Google Ads limit: 25 characters.
Behavior5/5

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

With no annotations provided, the description carries full responsibility and excels: it discloses the two-step mutate, return value/error structure, reversibility, duplicate asset creation on identical text, and the campaign limit. This is comprehensive behavioral disclosure beyond any structured data.

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 compact and front-loaded, stating the core action first, then return behavior, error case, reversibility, duplicate caveat, and alternative tool. Every sentence is informative and earns its place, with no redundancy.

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 adequately explains return values (resource_name, error object) and covers all necessary operational details: mutation, limits, duplicates, and alternatives. It is fully complete for an agent to invoke the tool correctly.

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 all parameters fully described in the input schema. The description adds no additional parameter-level meaning, so the baseline of 3 is appropriate. It does enrich context about duplicates/limits, but that is behavioral, not parameter 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 the tool's action ('Create a callout Asset and link it to a Google Ads campaign') with a specific verb and resource. It also distinguishes itself from sitelink creation by naming the alternative tool, making the purpose unambiguous.

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 provides explicit guidance on when to use this tool versus alternatives ('For sitelink variants use google_ads_sitelinks_create'), notes reversibility via google_ads_callouts_remove, and highlights the 20-callout limit as a constraint. This gives the agent clear decision-making context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/logly/mureo'

If you have feedback or need assistance with the MCP directory API, please join our Discord server