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samarthanalytics-sj

Samarth GTM MCP Server

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ga4_update_google_ads_link

Update a Google Ads link's personalized advertising flag. Provide the resource name and fields to change; confirmation required.

Instructions

[GA4 WRITE] Update a Google Ads link (personalized advertising flag). Pass only the fields to change; updateMask is derived from them (override with an explicit updateMask for nested paths). Requires GA4_MCP_ENABLE_WRITES=true and confirm=true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesFull resource name of the Google Ads link to target, e.g. "properties/123/…/456".
confirmYesMust be true to apply the change.
updateMaskNoComma-separated field paths to update. Omit to derive from the supplied fields.
adsPersonalizationEnabledNo
Behavior4/5

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

With no annotations provided, the description discloses behavioral traits: it is a write operation requiring specific flags, and it explains updateMask behavior. It lacks details on side effects or response format, but for this simple update it is adequate.

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, each serving a distinct purpose: first states the tool's function, second provides usage guidance. It is front-loaded and concise with no wasted words.

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?

Given the tool's simplicity (single boolean flag to update) and lack of output schema, the description covers essential info: purpose, parameter semantics, and requirements. It could mention return values or error conditions, but it is complete enough for effective use.

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

Parameters4/5

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

The input schema has 75% coverage (3 of 4 parameters described). The description adds meaning by referencing 'personalized advertising flag' for adsPersonalizationEnabled, which lacks schema description, and explains updateMask usage.

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?

The description clearly states the tool updates a Google Ads link, specifically the personalized advertising flag. It distinguishes from sibling tools like ga4_create_google_ads_link and ga4_delete_google_ads_link by focusing on update operation.

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?

The description provides clear usage guidance: pass only fields to change, updateMask is derived but can be overridden for nested paths. It also states requirements (GA4_MCP_ENABLE_WRITES=true, confirm=true). However, it does not explicitly mention when not to use or list alternatives.

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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