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samarthanalytics-sj

Samarth GTM MCP Server

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ga4_create_skadnetwork_conversion_value_schema

Create SKAdNetwork conversion value schema on an iOS data stream. Configure postback windows in the request body. Confirmation required.

Instructions

[GA4 WRITE] Create the SKAdNetwork conversion value schema on an iOS data stream. Supply postbackWindow settings via body. Requires GA4_MCP_ENABLE_WRITES=true and confirm=true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoRaw request-body object (JSON) merged OVER the typed fields — use for nested/advanced fields not exposed as flat args.
confirmYesMust be true to apply the change.
propertyYesGA4 property ID, e.g. "123456789" or "properties/123456789".
dataStreamIdYesData stream ID (numeric) or "dataStreams/{id}".
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It identifies the tool as a WRITE operation and specifies the prerequisite of GA4_MCP_ENABLE_WRITES and confirm. However, it does not describe error conditions (e.g., duplicate schema), idempotency, or side effects, leaving some transparency gaps.

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: the first states the core function, the second adds key parameters and requirements. It is front-loaded, succinct, and every sentence adds necessary information without redundancy.

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?

The tool has 4 parameters (3 required, 1 optional) and no output schema. The description explains the purpose of the body parameter and the required confirm flag. While it does not detail the postbackWindow structure or what the response contains, it is sufficiently complete for an agent to understand the operation and prerequisites.

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 schema has 100% coverage, so baseline is 3. The description adds value by explaining the purpose of the body parameter ('Supply postbackWindow settings via body') and clarifying that body is for nested/advanced fields. This goes beyond the schema definition, justifying a 4.

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 explicitly states 'Create the SKAdNetwork conversion value schema on an iOS data stream' with the verb 'create' and the resource clearly identified. This distinguishes it from sibling tools like update or delete, making the purpose unmistakable.

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: it requires GA4_MCP_ENABLE_WRITES=true and confirm=true, and instructs to supply postbackWindow settings via the body parameter. However, it does not explicitly state when to use this tool over its alternatives (e.g., update or delete), though the 'create' verb implies this is for initial setup.

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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