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burhan29ee

ga4-mcp-server

by burhan29ee

create_custom_metric

Create a custom metric in Google Analytics 4 by specifying property ID, parameter name, display name, and measurement unit.

Instructions

Create a custom metric. measurement_unit is one of STANDARD, CURRENCY, FEET, METERS, KILOMETERS, MILES, MILLISECONDS, SECONDS, MINUTES, HOURS.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeNoEVENT
descriptionNo
property_idYes
display_nameYes
parameter_nameYes
measurement_unitNoSTANDARD
Behavior2/5

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

With no annotations, the description carries the burden of disclosure, but it only mentions measurement_unit values. It fails to disclose any side effects, permissions, or behavior beyond the basic action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief and to the point, with no extraneous words. The enumeration of measurement_unit values is useful and concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a creation tool with six parameters and no output schema, the description is inadequate. It doesn't explain required fields, constraints, or expected outcomes, leaving significant gaps.

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

Parameters2/5

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

Schema description coverage is 0%, and the description only clarifies measurement_unit's allowed values. Other parameters like property_id, parameter_name, and display_name remain unexplained, leaving the agent to infer their meaning.

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 'Create a custom metric' with a specific verb and resource. However, it doesn't explicitly differentiate from the sibling create_custom_dimension tool, despite the distinct resource type.

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?

There is no guidance on when to use this tool versus alternatives like create_custom_dimension, nor any prerequisites or context. The description only states the action without usage scenarios.

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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