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delaren47

gsc-ga4-mcp

by delaren47

compare_gsc_ga4_pages

Compare Google Search Console page performance with GA4 landing-page engagement to identify gaps and opportunities.

Instructions

Join GSC page performance with GA4 landing-page 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
startDateYesYYYY-MM-DD
Behavior2/5

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

Annotations are entirely absent, so the description carries the full burden of behavioral disclosure. It does not state whether the operation is read-only, what the response structure looks like, how unmatched pages are handled, or any pagination/limits. The single-line description gives no behavioral transparency beyond the intent to combine data.

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 redundancy. It is concise and front-loaded with the primary action and data sources. However, it could be slightly more informative without losing conciseness, but as written it is efficient.

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?

This is a complex tool that joins data from two different APIs, yet the description leaves critical context unexplained. There is no output schema, so the description should describe the return shape and semantics. It also lacks guidance on how the join is performed and what the result represents. For an agent to call this correctly and interpret results, more detail is needed.

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 80%, so the parameter meanings are largely provided by the input schema. The tool description adds nothing beyond that—it does not clarify how parameters relate to the join or what any of them mean in the context of this specific tool. Since coverage is high, the baseline of 3 applies without additional value.

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 states the specific action 'Join' and identifies the two data sources: GSC page performance and GA4 landing-page engagement. It is clear that this tool merges data from two distinct platforms. However, it does not specify the join key or the output format, and it does not explicitly differentiate itself from other composite tools like find_high_impression_low_ctr_pages, so it misses some sibling 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?

No usage guidance is provided. The description does not state when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. Without this, an agent cannot determine if this is the right tool for a given task beyond the obvious 'comparing GSC and GA4 data' context.

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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