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Honeyfield Marketing MCP

GA4: Archive custom dimension

ga4_archive_custom_dimension
Destructive

GA4 Custom Dimension archivieren. dimension_name akzeptiert die reine ID oder den vollen Ressourcen-Pfad. property_id: die GA4-Property des Workspace (andere werden abgelehnt). workspace: Slug des Kunden-Workspace (optional bei nur einem Workspace).

Input Schema

NameRequiredDescriptionDefault
workspaceNo
property_idYes
dimension_nameYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false, and openWorldHint=true, so the safety profile is known. The description adds that other properties are rejected and that workspace is optional for single-workspace setups, but it does not describe what archiving does to the dimension or whether it is reversible.

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 short, front-loaded with the action, and every sentence adds useful invocation context. There is no redundant restatement of the title or schema.

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 destructive GA4 mutation with annotations and an output schema, the description covers the key parameter semantics and workspace/property constraints. A note on the practical effect or reversibility of archiving would complete it, but most invocation-critical information is present.

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?

Schema description coverage is 0%, so the description must carry the load; it documents all three parameters meaningfully. It explains that dimension_name accepts either a bare ID or a full resource path, that property_id must be the workspace's GA4 property, and that workspace is optional when only one exists.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific action and resource: 'GA4 Custom Dimension archivieren.' This distinguishes it from create/list siblings by action, though it does not explicitly name an alternative tool.

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

Usage Guidelines2/5

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

The description gives useful parameter constraints, such as property_id needing to belong to the workspace, but it does not explain when to use this archive operation versus alternatives like ga4_list_custom_dimensions or ga4_create_custom_dimension.

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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