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ga4_firebase_links

Fetches Firebase projects linked to a Google Analytics 4 property so you can verify connections and resolve access errors.

Instructions

Firebase projects linked to the property. Requires: Google Analytics Admin API (analyticsadmin.googleapis.com) enabled on the quota project; Lector (Viewer) en la propiedad de GA4. If it fails for access, the error explains how to fix it; ga4_check_access checks everything at once.

Input Schema

NameRequiredDescriptionDefault
propertyNoSaved property name (see ga4_list_properties). Defaults to the default property.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.1.0

TDQS

B3.2/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does substantial work: it discloses the required API enablement, the permission level on the property, and that access failures are self-explanatory with remediation in the error. It never explicitly says the operation is read-only, which is the main remaining gap.

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

Conciseness3/5

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

Three short sentences with no padding, and the prerequisites are front-loaded. However, the leading fragment lacks a verb, and the mid-sentence language switch ("Lector (Viewer) en la propiedad de GA4") slightly hurts readability.

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?

For a single-optional-parameter, no-output-schema read tool, the prerequisite and error-handling context is largely sufficient. What is missing is an explicit statement of what the call returns and that it is non-mutating, plus any differentiation from ga4_firebase_apps.

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?

Schema coverage is 100% and the single optional `property` parameter already documents its default and points to ga4_list_properties. The description adds nothing about the parameter, so the baseline 3 applies.

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

Purpose3/5

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

The description names a specific resource ("Firebase projects linked to the property") but never states the verb — it is a noun fragment, so the agent must infer that this lists Firebase/GA4 link configurations. It does not distinguish itself from the sibling ga4_firebase_apps, which plausibly covers a related Firebase surface.

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

Usage Guidelines3/5

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

It gives useful preconditions (Admin API enabled on the quota project, Viewer role on the GA4 property) and routes the agent to ga4_check_access for a one-shot access diagnosis. It stops short of saying when to call this versus ga4_firebase_apps or ga4_bigquery_links, and there are no explicit exclusions.

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