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AdsAgent — Google Ads MCP

google_ads_trending_topics

Read-only

Read bounded native trending_topics 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=true, openWorldHint=true, and destructiveHint=false, so 'No writes or access grants' is largely redundant. The added value is the disclosure that restricted services require fresh server-verified access and otherwise refuse, which tells the agent this call can fail on auth grounds, though the phrasing is vague and hard to act on.

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, front-loaded sentences with the verb first. Efficient, though the jargon-heavy phrasing ('bounded native', 'fresh server-verified access') costs some readability.

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 tool with a nested required body, low schema coverage, and no output schema, the description is too thin: it doesn't explain the entity_ids format, planning_group purpose, connection_context role, or what the returned insight contains. It leaves the agent under-informed on a non-trivial read.

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% (just customer_id), and the nested body object (country_id, entity_ids, planning_group) and connection_context have no descriptions anywhere. The description adds no meaning for any parameter, leaving most inputs undocumented.

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 resource (trending_topics insight), so the agent can distinguish it from keyword_themes and keyword_ideas_generate siblings. However, qualifiers like 'bounded native' are cryptic and don't clarify what a trending_topics insight actually returns versus those siblings.

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 offers no when-to-use guidance or comparison to alternatives among the many insights/keyword siblings. The line about 'restricted services' is a precondition note, not guidance on selecting this tool over another.

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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