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noviq-ai

Google Analytics MCP Server

by noviq-ai

get_custom_dimensions_and_metrics

Fetches custom dimensions and metrics for a Google Analytics property using the property ID, enabling access to property-specific custom definitions.

Instructions

Returns the property's custom dimensions and metrics.

Args: property_id: The Google Analytics property ID. Accepted formats are: - A number - A string consisting of 'properties/' followed by a number

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
property_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.2.2
    • addedInput schema / required
      Added value: +[
      +  "property_id"
      +]
  2. First observedv0.2.0

TDQS

A3.5/5.0
Behavior2/5

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

Without annotations, the description carries full burden but only states it returns data, with no mention of side effects, authorization needs, rate limits, or read-only nature. The name implies read-only, but this is not explicitly stated.

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?

Two sentences: one for purpose, one for parameter format. Both are front-loaded and contain no unnecessary words. Every sentence earns its place.

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

Completeness3/5

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

The description lacks details on return value structure, which would be helpful since no output schema is provided. However, for a simple retrieval tool with one parameter, it is minimally adequate.

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 description adds significant value beyond the input schema by specifying accepted formats for property_id (number or 'properties/' + number), which is crucial for correct invocation. Schema description coverage is 0%, so this compensation raises the score.

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 it returns the property's custom dimensions and metrics, using a specific verb and resource, and distinguishes it from sibling tools like run_report or get_property_details.

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?

No guidance is provided on when to use this tool versus alternatives, nor any prerequisites or exclusions. The description only states what the tool does, not when to invoke it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.