Skip to main content
Glama

Search Google ads

search_google_ads
Read-only

Structured Google Ads Transparency pull for ONE advertiser (by domain or advertiserId) — use when you know the brand; use research_ads for open-ended research. Deliberately fetches the cheap BASIC listing (get_ad_details=false, ~1 credit — the detailed variant with per-ad headlines costs 25 credits/call and is not exposed here). Returns compact JSON {advertiser, format, adUrl, image, firstShown, lastShown} per ad.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNomax ads returned (1–25, default 8)
domainNothe advertiser's domain, e.g. nike.com
regionNo2-letter region, default US
advertiserIdNoGoogle advertiser id (AR…) when the domain is ambiguous

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and destructiveHint, so the description adds value by disclosing the cost (1 credit vs 25) and that the detailed variant is deliberately not exposed. It also specifies the exact JSON return shape, which is not in the schema. While it doesn't cover pagination, the safety profile is already carried by annotations, and the description provides meaningful behavioral context beyond them.

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?

Two sentences with no filler. The first sentence front-loads the purpose and usage, the second discloses cost and return format. Every clause earns its place.

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?

Covers purpose, alternative, cost, and return format; annotations cover safety. It lacks explicit mention of pagination or handling multiple results, but the limit parameter schema addresses this and the tool is simple enough that the description is nearly complete.

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 description coverage is 100%, so the baseline is 3. The description repeats that search can be by domain or advertiserId, but does not add new meaning beyond the schema's parameter descriptions. It mentions the return fields but not parameter-specific nuances, so it does not exceed the baseline.

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 a specific verb ('pull') and resource ('Google Ads Transparency') for exactly one advertiser by domain or advertiserId. It distinguishes itself from the sibling research_ads by naming the alternative explicitly, leaving no ambiguity about scope.

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 'use when you know the brand; use research_ads for open-ended research,' providing a direct condition and naming the alternative. Also explains the cost trade-off between the cheap BASIC listing and the expensive detailed variant, giving concrete guidance on when this tool is appropriate.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.7/5.0
Disambiguation2/5

With 293 tools, the surface is enormous and many tools have overlapping purposes—multiple posting tools (post_to_meta, post_to_linkedin, schedule_post, etc.), multiple analytics tools per channel, and several search tools (search_meta_ads, search_instagram, search_reddit...). While each description is detailed, the volume makes it difficult for an agent to reliably distinguish between similar tools without careful reading, leading to frequent misselection.

Naming Consistency4/5

The naming is largely consistent with a verb_noun pattern (post_to_*, list_*, create_*, delete_*, update_*, manage_*). There are clear families for major operations. A few outliers like 'google_business_account', 'hermoso_capabilities', and 'store_get' break the pattern, but the overwhelming majority follow a predictable structure, making navigation somewhat easier.

Tool Count1/5

293 tools is far beyond any reasonable scope for a single MCP server, even for a comprehensive marketing platform. The calibration guide flags 50+ as an extreme mismatch, and this is nearly six times that threshold. Such a large surface overwhelms context windows, increases the probability of misselection, and makes it impractical for agents to learn or use effectively.

Completeness4/5

The tool set covers a vast domain: ad creation and rendering, posting across nine+ social channels, analytics and reporting, file management (Drive/OneDrive), competitor research, brand management, and more. It appears to provide CRUD and lifecycle coverage for most resources. While there may be minor gaps given the immense scope, the overall coverage is impressively comprehensive.