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AdsAgent — Google Ads MCP

google_ads_keyword_forecast_metrics

Read-only

Read a hypothetical manual-CPC keyword forecast, never create a campaign. Account timezone/currency, up to 20 keywords and 31 future days. Forecasts are not guarantees.

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

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/openWorldHint/destructiveHint=false, so the safety profile is covered. The description adds real value beyond that: hard limits (20 keywords, 31 future days), that results are account timezone/currency scoped, and that forecasts are not guarantees.

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 tight, front-loaded sentences with no filler; the read-vs-write disambiguation and the numeric limits are placed first. Slightly clipped telegraphic style ('Account timezone/currency') but nothing wasted.

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

Completeness3/5

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

For a nested body with nine required fields, an openWorld tool with no output schema, the description covers scope and limits but omits what the forecast actually returns and how the bid/budget inputs shape it. Adequate minimum, not complete.

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 only 33%, and the description only gestures at a few fields (keyword count, date range, currency). It does not clarify match_type, language_id, geo_target_ids, or that max_cpc_bid_micros/daily_budget_micros are bid/budget inputs in micros, so it only partially compensates 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 and resource ('Read a hypothetical manual-CPC keyword forecast') and rules out the write path ('never create a campaign'). The qualifier 'manual-CPC' and 'hypothetical' distinguish it from the reach/keyword-historical siblings, though those siblings are not named.

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?

The 'hypothetical' and 'never create a campaign' framing implies when this is appropriate (pre-campaign estimates, not actual performance), but it never names the alternatives such as google_ads_keyword_historical_metrics or google_ads_reach_forecast, which is the main routing ambiguity for an agent.

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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