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google ads get pmax placements

google_ads_get_pmax_placements
Read-onlyIdempotent

Retrieve read-only Performance Max placement diagnostics by date, campaign, type, or placement text to analyze where ads appeared and their impressions.

Instructions

Read-only Performance Max placement diagnostics from performance_max_placement_view. Returns placement type, display name, target URL, campaign context, and impressions only.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum number of returned items or rows. The declared bounds and default apply; use pagination for additional results.
endDateYesEnd date YYYY-MM-DD
startDateYesStart date YYYY-MM-DD
campaignIdNoOptional Performance Max campaign ID filter
customerIdYesGoogle Ads customer ID (without dashes, e.g., 1234567890)
placementTypeNoOptional PlacementType enum filter
placementContainsNoOptional substring filter for the placement string

Output Schema

NameRequiredDescriptionDefault
resultYesOriginal tool result: parsed JSON when the text is JSON, otherwise the text or multiple MCP content blocks. Provider fields depend on the selected query.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv2.1.1
    • removedInput schema / additionalProperties
      Removed value: -false
    • changedOutput schema / properties / result / anyOf
      Previous value: -[
      -  {
      -    "additionalProperties": true,
      -    "properties": {},
      -    "type": "object"
      -  },
      -  {
      -    "items": {},
      -    "type": "array"
      -  },
      -  {
      -    "type": "string"
      -  },
      -  {
      -    "type": "number"
      -  },
      -  {
      -    "type": "boolean"
      -  },
      -  {
      -    "type": "null"
      -  }
      -]New value: +[
      +  {
      +    "additionalProperties": {},
      +    "properties": {},
      +    "type": "object"
      +  },
      +  {
      +    "items": {},
      +    "type": "array"
      +  },
      +  {
      +    "type": "string"
      +  },
      +  {
      +    "type": "number"
      +  },
      +  {
      +    "type": "boolean"
      +  },
      +  {
      +    "type": "null"
      +  }
      +]
  2. First observedv2.0.1

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful context by naming the underlying view and limiting metrics to impressions only, but does not mention pagination behavior, permissions, or other operational constraints.

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 tightly written sentences with zero waste. The core purpose and the returned-metric limitation are front-loaded and easy to scan.

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?

With annotations covering safety, a fully described schema, and an output schema, the description is largely complete for a read-only diagnostics tool. The main gap is the absence of usage routing guidance against sibling tools, but the essential invocation context is present.

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 all seven parameters are already documented in the input schema, including the enum and substring filters. The description adds no additional parameter meaning beyond that, which is the expected baseline when the schema does the heavy lifting.

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 names a specific verb and resource: read-only Performance Max placement diagnostics from performance_max_placement_view. It clearly distinguishes placement-level data from sibling asset tools such as google_ads_get_pmax_assets and google_ads_get_pmax_asset_diagnostics.

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?

It states what the tool does but gives no guidance on when to choose it over alternatives like google_ads_get_pmax_assets, google_ads_run_gaql, or google_ads_get_pmax_asset_diagnostics. There are no exclusions or prerequisite conditions, so the agent must infer routing from the name.

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