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Glama

Organic landing pages: GA4 + Search Console merged

ga_landing_page_seo
Read-onlyIdempotent

Combines GA4 organic-search metrics with Search Console clicks, impressions, CTR and position for each landing page, and flags tracking gaps when GA4 sessions fall below Search Console clicks.

Instructions

One table per landing page combining GA4 organic-search behaviour (sessions, engagement rate, bounce rate, avg. session duration, key events) with Search Console performance (clicks, impressions, CTR, position) for the same period. Requires both the GA4 property and the Search Console property of the same site. Also flags a tracking gap when GA4 records far fewer organic sessions than Search Console clicks (consent mode, a missing tag), so use it to check GA4 figures before trusting them.

Input Schema

NameRequiredDescriptionDefault
limitNo
sortByNoclicks
endDateNo3daysAgo
siteUrlYesSearch Console property for the same site, e.g. 'sc-domain:example.com'.
startDateNo28daysAgo
propertyIdYesGA4 property ID, e.g. '123456789' (see ga_list_properties).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.12.0

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), and the description adds non-obvious behavior beyond them: the cross-source prerequisite and the tracking-gap flag with its root causes (consent mode, missing tag). It does not describe pagination or output shape, but the column list partially compensates, so a 4 is fair.

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?

Three efficient sentences, front-loaded with the join and its inputs, then the gap-flag rationale. No filler, though the metric enumeration is dense.

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?

With no output schema, the description does well to list the returned columns and the cross-source requirement, but four of six input parameters remain undocumented in both schema and description. Adequate on outputs, incomplete on inputs.

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

Parameters2/5

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

Schema coverage is only 33%: only siteUrl and propertyId are documented, and the description adds no meaning for limit, sortBy (enum), startDate or endDate. It mentions 'for the same period' but never explains the date-range parameters, so it fails to compensate for the low coverage.

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?

States a specific verb+resource (merged per-landing-page table) and enumerates exactly which GA4 and Search Console metrics are joined. It is clearly distinguishable from siblings like ga_run_report or gsc_search_analytics, which report on a single source.

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?

Gives a concrete precondition ('requires both the GA4 property and the Search Console property of the same site') and a clear intended use ('use it to check GA4 figures before trusting them'). It stops short of naming a specific alternative tool or an explicit when-not condition, so it lands at 4 rather than 5.

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