Skip to main content
Glama
Overcast-Solutions

ads-mcp

get_keyword_forecasts

Forecast clicks, cost, and average CPC for your keywords over a specified future date range.

Instructions

Forecast clicks, cost, and average CPC for supplied keywords. Impressions are unavailable from the v25 nonpersisting API and returned as null. Other absent estimates are null; explicit zero and fractional clicks are preserved. Uses a strict YYYY-MM-DD date range. Start must be in the future and end within one calendar year of today in the requested account's time zone (February 29 clamps to February 28). Defaults to the next 30 complete account-local days; missing or invalid account time zones are refused. Money is decimal with the account currency. Computed by KeywordPlanIdeaService — no KeywordPlan is ever created. keyword_texts is an alias for keywords; both must agree if supplied.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordsNo
customer_idNo
keyword_textsNo
date_range_endNo
date_range_startNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.6/5.0
Behavior5/5

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

No annotations are present, so the description carries full burden. It discloses null impressions and absent estimates, preservation of zero/fractional clicks, strict date parsing, February 29 clamping, account time zone refusal, decimal currency, and side-effect-free computation—exceptionally transparent.

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?

The description is dense but every sentence carries a substantive constraint or behavior; the main action is front-loaded. It would be more skimmable with bullets, but no filler is present.

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

Completeness5/5

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

Given no output schema and no annotations, the description covers input constraints, output nullability and numeric preservation, currency, and side effects. The only minor gap, explicit customer_id roles, is arguably covered by 'requested account's time zone.'

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

Parameters4/5

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

Schema coverage is 0%, but the description compensates well by explaining date-range semantics, the keyword_texts alias and agreement rule, and monetary output format. It leaves customer_id largely implicit, so it is not a perfect 5.

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?

Opens with a specific verb and resource: 'Forecast clicks, cost, and average CPC for supplied keywords.' It then distinguishes itself by noting the nonpersisting v25 API and explicitly 'no KeywordPlan is ever created,' which separates it from sibling planning and reporting tools.

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

Usage Guidelines4/5

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

Clear context is given: this is for forecasting future date ranges, with start must be future and end within one calendar year, and defaults to next 30 account-local days. It does not explicitly name alternative tools or give when-not-to-use conditions, so it misses the top bar but is more than merely implied.

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