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AdsAgent — Google Ads MCP

google_ads_recommendation_dismiss_prepare

Prepare dismissing one Google Ads recommendation.

Input Schema

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

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. First observed

TDQS

C2.6/5.0
Behavior2/5

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

Annotations only declare readOnlyHint=false, openWorldHint=false, destructiveHint=false, which conveys little beyond 'not a destructive read'. The description does not explain what 'prepare' actually does — whether it creates a pending task, returns a token for the confirm step, or has any side effects — nor whether it is reversible or requires specific permissions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no wasted words, which is structurally clean. However, the brevity borders on under-specification for a multi-step prepare tool, leaving no room for the operational context an agent needs.

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?

There is no output schema and the description says nothing about what the prepare step returns or how its result feeds into the confirm step. For a prepare tool in an extensive prepare/confirm family, that missing linkage is a material gap.

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%: customer_id is documented but recommendation_resource_name and connection_context carry no description at all. The description adds no format or source guidance (e.g., where the resource name comes from), so the undocumented half of the parameters is left ambiguous.

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 ('Prepare dismissing') and resource ('one Google Ads recommendation'), so an agent knows it is the dismiss-side counterpart to google_ads_recommendation_apply_prepare. It does not explicitly name the confirm sibling or explain the prepare/confirm relationship, but the action itself 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 Guidelines2/5

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

No indication of when to use this over google_ads_recommendation_dismiss_confirm or apply_prepare, no prerequisite that the recommendation_resource_name comes from google_ads_recommendations_list, and no explanation of the two-step flow. Usage must be inferred entirely from the name.

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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