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AdsAgent — Google Ads MCP

google_ads_templates_list

Read-only

List saved reusable Google ad templates. These are ad-creation templates, not an insights breakdown. Optional product_ref limits the list to one product card when product cards are enabled; each row then includes product_link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_refNo
connection_contextNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / product_ref
      Added value: +{
      +  "type": "string"
      +}
  2. Changed1 schema field changed
    • addedInput schema / properties / connection_context
      Added value: +{
      +  "pattern": "^mctx_v1_[0-9a-f]{64}$",
      +  "type": "string"
      +}
  3. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare the safety profile (readOnlyHint=true, destructiveHint=false), so the bar is lower. The description adds genuine value beyond them: it clarifies the returned entities are ad-creation templates and discloses conditional return behavior (product_link appears per row when product_ref is used).

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?

Three tight sentences, front-loaded with purpose before the disambiguation and the parameter note. No filler; every clause conveys information an agent needs.

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?

For a zero-required-param list tool with no output schema, the description covers purpose, disambiguation, and the only substantive optional parameter's effect. The undocumented connection_context is a minor gap given its conventional role.

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 0%, so the description must carry the load. It explains product_ref well, including its conditional effect and the product_link field it surfaces, but says nothing about connection_context. One of two parameters is meaningfully documented, so this is adequate but incomplete.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('List saved reusable Google ad templates') and preempts a likely confusion by noting these are ad-creation templates, not an insights breakdown. It does not name its closest siblings (google_ads_template_save/update/delete), but the resource is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implied usage through the product_ref note ('limits the list to one product card when product cards are enabled'), but there is no explicit when-to-use versus the template mutation siblings or google_ads_product_cards_list. An agent can infer the read-only listing role, but nothing routes it among alternatives.

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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