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samarthanalytics-sj

Samarth GTM MCP Server

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ga4_update_skadnetwork_conversion_value_schema

Update SKAdNetwork conversion value schema by passing only fields to change. Requires write enable and confirmation.

Instructions

[GA4 WRITE] Update the SKAdNetwork conversion value schema. 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
bodyNoRaw request-body object (JSON) merged OVER the typed fields — use for nested/advanced fields not exposed as flat args.
nameYesFull resource name of the SKAdNetwork conversion value schema 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.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the write nature and prerequisites but does not mention side effects, reversibility, rate limits, or authentication details beyond the flags. The behavior is partially transparent 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: the first states the purpose, the second provides usage guidance. It is front-loaded, compact, and contains no unnecessary 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 complexity (write with nested fields, updateMask derivation) and no output schema, the description covers purpose, usage, and prerequisites. It could include examples or more context on return values, but it is largely sufficient.

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 covers 100% of parameters, but the description adds value by explaining how updateMask is derived from supplied fields and can be overridden. It also contextualizes the 'body' parameter for nested fields, which goes beyond the schema descriptions.

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 starts with '[GA4 WRITE]' and explicitly states 'Update the SKAdNetwork conversion value schema', clearly identifying the verb and resource. This distinguishes it from sibling tools like 'create' and 'delete' variants.

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

Usage Guidelines5/5

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

The description provides explicit guidelines: 'Pass only the fields to change; updateMask is derived from them (override with an explicit updateMask for nested paths).' It also lists prerequisites: 'Requires GA4_MCP_ENABLE_WRITES=true and confirm=true.' This helps the agent understand when and how to use the tool.

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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