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Camberstack: Google Ads

Google Analytics setup

analytics_setup
Read-only

How a GA4 property is set up: its web streams with their measurement IDs (what the site's tag must use), which events are key events (GA4's conversions), and which Google Ads accounts it's linked to. Check this before proposing setup changes. Changes nothing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
property_idYesGA4 property id, digits only (from analytics_properties)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false; the description adds value by confirming 'Changes nothing' and by describing the shape of what is returned (streams, measurement IDs, key events, ad links), including the actionable note that the measurement ID is what the site's tag must use. It doesn't cover freshness, pagination, or limits, but it goes beyond the annotations' safety profile.

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?

Two tightly packed sentences plus a two-word reassurance; the return contents lead and the read-only caveat closes. No sentence is filler and nothing is buried.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter read with no output schema, the description adequately conveys what comes back and that nothing is mutated. It could say slightly more about scope (per-property vs. account-wide) or response freshness, but an agent has enough to call it correctly.

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% and the single property_id parameter is fully documented in the schema, including its digits-only pattern and its provenance from analytics_properties. The description adds no further parameter meaning, so the baseline 3 applies.

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?

Names a specific resource (a GA4 property's setup) and enumerates the exact contents returned: web streams with measurement IDs, key events, and linked Google Ads accounts. This distinguishes it cleanly from the sibling analytics_properties (which lists properties) and analytics_report (which returns metrics).

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?

States a clear trigger: 'Check this before proposing setup changes,' which implicitly routes the agent away from propose_analytics_changes and toward inspection first. It stops short of naming the alternative tool or stating exclusions, so it is clear context rather than full when/when-not guidance.

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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