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Organic traffic vs. AdSense earnings per page

content_monetization
Read-onlyIdempotent

Joins Search Console clicks per page with AdSense earnings per page URL. Returns earnings per organic click, pages with lots of organic traffic but weak earnings, and pages that earn well and deserve more SEO push.

Input Schema

NameRequiredDescriptionDefault
daysNo
limitNo
gsc_propertyYesSearch Console property id from list_properties, e.g. sc-domain:example.com or https://www.example.com/
adsense_propertyYesAdSense account id from list_properties, e.g. accounts/pub-1234567890123456

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds useful output context (earnings per organic click, high-traffic/low-earning pages, strong earners), but says nothing about how unmatched URLs are handled, aggregation granularity, or the effect of the days/limit windows.

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?

Two tight sentences with the join operation front-loaded and the payoff (three analyzable page classes) immediately after. No filler, though the second sentence is a comma list rather than a structured breakdown.

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 the right thing by enumerating what is returned, and annotations cover safety. It remains incomplete on parameter semantics (days/limit), on the prerequisite of resolving property ids via list_properties, and on time-window behavior.

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 description coverage is only 50%: the two required property ids are documented in-schema, but 'days' and 'limit' have no descriptions at all. The description text mentions no parameter, format, or range, so it does nothing to compensate for the undocumented half.

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 names a specific verb ('Joins') and two concrete resources (Search Console clicks per page, AdSense earnings per page URL), so the operation is unambiguous. It is functionally distinguishable from gsc_top_pages and adsense_top_pages by being a cross-source join, but it never names or contrasts those siblings explicitly.

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 when-to-use guidance, no statement of prerequisites (both a GSC property and an AdSense account id must be obtained from list_properties), and no exclusion pointing the agent to gsc_top_pages, adsense_top_pages, or paid_vs_organic for single-source views. Usage must be inferred entirely from the returned-metric list.

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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