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Bmiller4evr

google-marketing-mcp

by Bmiller4evr

Get metrics

get_metrics

Retrieve Google Ads performance metrics like cost, impressions, clicks, CTR, CPC, conversions, and conversion value by account, campaign, ad group, keyword, or ad level for a specified date range.

Instructions

Performance (cost, impressions, clicks, CTR, avg CPC, conversions, conv value) by level over a date range. Costs are in dollars.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
levelNoAggregation level.campaign
limitNoMax rows (default 100).
sinceYesStart date, YYYY-MM-DD.
untilYesEnd date, YYYY-MM-DD.
customer_idNoAds customer id (digits or dashed). Defaults to GOOGLE_ADS_CUSTOMER_ID.
Behavior2/5

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

With no annotations, the description must fully disclose behavior. It lists the metrics returned and mentions cost currency, but does not describe pagination, response format, error scenarios, authentication needs, or any side effects. Important behavioral traits are missing.

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?

The description is two sentences, front-loads the key metric names, and adds the currency note. Every word is functional; no redundancy or unnecessary detail.

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?

The tool has 5 parameters and no output schema. The description does not explain the return structure, pagination, or what happens with missing data or errors. For a data retrieval tool, this leaves significant gaps for the agent.

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?

All parameters have descriptions in the schema (100% coverage), so baseline is 3. The description adds a high-level summary ('by level over a date range') but does not elaborate on parameter usage, defaults, or constraints beyond what the schema already provides.

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?

The description clearly states it retrieves performance metrics (cost, impressions, clicks, etc.) with aggregation by level over a date range, and specifies cost currency. The verb 'get' and resource 'metrics' are direct, though 'Get metrics' is generic; the description adds specificity. No sibling tools exist, so differentiation is not needed.

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 guidance is provided on when to use this tool vs alternatives. There are no sibling tools listed, but the description lacks any explicit usage context, prerequisites, or exclusions. The agent receives no help in deciding if this tool is appropriate.

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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