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AdsAgent — Google Ads MCP

google_ads_keyword_themes

Read-only

Read bounded native keyword_themes insight. Restricted services require fresh server-verified access and otherwise refuse. No writes or access grants.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
customer_idYes10-digit Google Ads customer id.
connection_contextNo

Schema Changelog

Changes observed during successful MCP inspections.

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

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, destructiveHint=false, and openWorldHint. The description adds a genuine behavioral trait — restricted services refuse without fresh server-verified access — which is useful beyond annotations, but "No writes or access grants" merely restates the readOnly hint and the auth clause is vague about which services are restricted.

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?

Three short sentences, front-loaded with the core purpose, with no wasted verbiage. The final clause duplicates the readOnly annotation, which is minor redundancy but otherwise the structure is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read tool with no output schema and no parameter documentation, the description should clarify what the returned insight contains and how the nested request body is shaped. It omits both, leaving the agent without the information needed to invoke and interpret the call confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 33% (only customer_id is documented), and the nested body object's required fields (final_url, language_code, geo_target_ids) have no descriptions at all. The description says nothing about any parameter, so it fails to compensate for the coverage gap.

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 ("Read") and a specific resource ("keyword_themes insight"), so an agent can tell it retrieves keyword-theme insight data. However, it offers no differentiation from closely related siblings such as google_ads_keyword_ideas_generate, google_ads_keyword_historical_metrics, or google_ads_trending_topics, and terms like "bounded native" are opaque.

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

Usage Guidelines2/5

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

The description states a precondition (restricted services need fresh server-verified access) but never says when to choose this tool over the many sibling keyword/insight tools. There is no when-to-use or when-not-to-use guidance and no alternative named.

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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