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christophertanenso

mcp-marketing-analytics

gads_keyword_performance

Fetches Google Ads keyword metrics: clicks, impressions, cost, conversions, and quality score. Filter by campaign or date range to analyze performance.

Instructions

Get performance metrics for Google Ads keywords: search term, match type, clicks, impressions, cost, conversions, and quality score.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax keywords to return
orderByNoSort by metricclicks
dateRangeNoPredefined date rangeLAST_30_DAYS
campaignNameNoFilter to keywords in a specific campaign (exact name match)
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only says 'Get' which implies a read operation, but does not explicitly state it is read-only, nor does it mention default date ranges, limiting, sorting, or how filters affect results. No padding is added beyond the implicit safety of a read.

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 a single sentence, front-loaded with the primary action, and lists metrics efficiently. Every word contributes to conveying the tool's purpose with no fluff or redundancy.

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 tool with no output schema, the description gives a general idea of the returned fields but omits important context such as how parameters affect results, what the default behavior is, or how to interpret the data. It is adequate for a simple list tool but has clear gaps.

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%, with every parameter having a description. The tool description does not add any parameter-specific meaning beyond the schema, so the baseline score of 3 is appropriate; the schema already handles the semantic burden.

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 clearly states the tool retrieves performance metrics for Google Ads keywords and enumerates specific metrics (search term, match type, clicks, impressions, cost, conversions, quality score). This specific verb+resource combination distinguishes it from sibling tools like campaign or ad group performance.

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 versus alternatives such as gads_campaign_performance or gads_ad_group_performance. It does not mention any prerequisites, ideal use cases, or exclusions.

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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