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GA4: list dimensions and metrics

ga4_get_metadata
Read-onlyIdempotent

List the dimensions and metrics available for a GA4 property.

Tools revision: d80f65c0.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "property": "<property>"
    },
    "name": "ga4_get_metadata"
  }
}

Input Schema

NameRequiredDescriptionDefault
propertyYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds no behavioral context beyond that – nothing about whether custom dimensions/metrics are included, how large the result set is, or whether results are cached or property-specific. The trailing 'Tools revision: d80f65c0.' is build noise, not behavioral information.

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 operational sentence is a single front-loaded line with no wasted wording. The appended revision hash is internal metadata that does not help an agent select or invoke the tool and slightly dilutes an otherwise clean definition.

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?

With an output schema present, the description need not explain return values, and annotations cover safety, so the remaining burden is light. Still, for a metadata-catalog tool in a family of near-identical GA4 listing tools, the absence of any disambiguation against the custom-dimension/metric siblings and any property-ID format hint leaves real gaps.

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

Parameters3/5

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

Only one parameter exists and schema description coverage is 0%, but the description does tie it to 'a GA4 property', which gives the agent the semantic anchor the schema lacks. It stops short of supplying the expected identifier format (for example numeric ID vs 'properties/123456789'), which is the main thing a zero-coverage schema would need compensated.

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?

States a specific verb and resource ('List the dimensions and metrics'), and scopes it to a GA4 property, so an agent knows it returns a catalog rather than data. It does not, however, distinguish itself from the nearby ga4_list_custom_dimensions and ga4_list_custom_metrics siblings, leaving the agent to infer whether this covers standard fields, custom fields, or both.

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 explicit when-to-use guidance and no named alternative. The obvious intent (call this before ga4_run_report to discover valid dimension/metric names) is only implied by the word 'available', and nothing tells the agent when to prefer ga4_list_custom_dimensions or ga4_list_custom_metrics instead.

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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