Skip to main content
Glama

google_ads_sitelinks_list

List sitelink assets attached to a Google Ads campaign, merging campaign-level and account-level entries. Use to audit extensions before creating or removing sitelinks.

Instructions

List sitelink assets attached to a Google Ads campaign, merging campaign-level and account-level entries. Returns [{id, resource_name, link_text, description1, description2, final_urls:[string], level ('campaign'|'account')}]. Account-level sitelinks apply to the whole customer and are deduplicated by id. Read-only. Use this to audit extensions before calling google_ads_sitelinks_create (20 per-campaign limit) or google_ads_sitelinks_remove. For callouts use google_ads_callouts_list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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.
campaign_idYesCampaign ID as a numeric string without dashes (e.g. '23743184133'). Obtain via google_ads_campaigns_list.
Behavior4/5

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

No annotations are provided, so the description bears full burden. It discloses read-only nature, merging logic, deduplication by id, and return format. However, it does not cover error handling or authorization, but for a simple list operation, this is sufficient.

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 highly concise: two sentences that front-load the main purpose and then detail return format and usage. Every sentence adds value without 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?

For a simple listing tool with two parameters and no output schema, the description covers all necessary aspects: purpose, parameters, return structure, usage guidelines, and alternatives. It is complete.

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 coverage is 100% with both parameters described. The description adds significant value by specifying that customer_id can fall back to credentials and that campaign_id should be obtained via google_ads_campaigns_list.

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 verb 'List', the resource 'sitelink assets attached to a Google Ads campaign', and specifies merging campaign-level and account-level entries. It also distinguishes from siblings like google_ads_callouts_list.

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 states when to use this tool: 'to audit extensions before calling google_ads_sitelinks_create (20 per-campaign limit) or google_ads_sitelinks_remove' and provides an alternative: 'For callouts use google_ads_callouts_list.'

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