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samarthanalytics-sj

Samarth GTM MCP Server

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ga4_update_attribution_settings

Update GA4 property attribution settings including reporting model, conversion lookback windows, and Ads web-conversion export scope. Confirmation required to apply changes.

Instructions

[GA4 WRITE] Update a property's attribution: reporting model, acquisition/other conversion lookback windows, and the Ads web-conversion export scope. Requires GA4_MCP_ENABLE_WRITES=true and confirm=true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmYesMust be true to apply the change.
propertyYesGA4 property ID, e.g. "123456789" or "properties/123456789".
reportingAttributionModelNo
adsWebConversionDataExportScopeNo
otherConversionEventLookbackWindowNo
acquisitionConversionEventLookbackWindowNo
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It indicates a write operation and a confirmation requirement, but does not discuss reversibility, side effects, or rate limits. It discloses the mutating nature but lacks depth.

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?

The description is two sentences, front-loading the purpose and ending with requirements. Every sentence is informative, no fluff. It is appropriately sized for the tool's complexity.

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?

For a tool with 6 parameters (4 enums) and no output schema, the description covers the main purpose and requirements but does not explain parameter optionality, default behaviors, or what the response contains. It is adequate but could be more complete.

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 coverage is 33%, so the description needs to compensate. It lists categories like 'reporting model, acquisition/other conversion lookback windows, and the Ads web-conversion export scope,' which map to parameters but add no detail on allowed enum values or parameter interactions. This is helpful but incomplete.

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?

Description clearly states the tool updates a property's attribution settings, listing specific aspects like reporting model, lookback windows, and export scope. The '[GA4 WRITE]' prefix distinguishes it from read-only tools, and among sibling tools like ga4_update_property or ga4_update_data_retention, this tool's focus on attribution is unique.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions requirements (GA4_MCP_ENABLE_WRITES=true, confirm=true) but provides no explicit guidance on when to use this tool versus alternatives like ga4_update_property or when not to use it. The purpose is clear, but usage context is limited.

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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