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delaren47

gsc-ga4-mcp

by delaren47

find_pages_with_clicks_but_low_engagement

Identify pages with high search clicks yet low engagement rates, revealing content that underperforms in user interaction.

Instructions

Find pages with GSC clicks but weak GA4 engagement.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endDateYesYYYY-MM-DD
siteUrlNoGSC property, e.g. sc-domain:example.com or https://www.example.com/
propertyNoGA4 property, e.g. properties/123456789 or 123456789
rowLimitNo
minClicksNo
startDateYesYYYY-MM-DD
maxEngagementRateNo
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only states the action ('find') without mentioning whether it is read-only, how it combines GSC and GA4 data, what the output format is, or any side effects or limitations. This is a minimal behavior description that leaves much to inference.

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 a single sentence with no extraneous words, making it highly concise. It front-loads the core purpose. However, it lacks any structural elements like examples or bullet points, and given the tool's complexity, it might be too terse. Still, for conciseness alone it earns a 4.

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?

With 7 parameters, no output schema, and no annotations, the description is far from complete. It does not explain what 'weak GA4 engagement' means operationally, how data from GSC and GA4 is merged, or what the returned data looks like. The description leaves critical information missing for an agent to correctly invoke and interpret results.

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?

The schema description coverage is 57%, with four parameters (startDate, endDate, siteUrl, property) having descriptions. The tool description adds no additional meaning about parameters like rowLimit, minClicks, or maxEngagementRate, but those are partially self-explanatory given the tool's purpose. Since schema coverage is moderately high and the description adds nothing, baseline 3 is appropriate.

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 the action ('Find') and the target resource ('pages with GSC clicks but weak GA4 engagement'). This is specific enough to distinguish it from many siblings, though it does not explicitly name an alternative tool or contrast with them. A 4 reflects clear purpose without explicit differentiation.

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?

There is no guidance on when to use this tool versus alternatives like compare_gsc_ga4_pages or content_refresh_candidates. The description gives no context about appropriate use cases, prerequisites, or exclusions, so agents have to infer usage patterns from the name alone.

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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