GA4 property configuration (read-only)

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the description's 'Read' aligns. It adds valuable context beyond annotations by explaining what each section contains (e.g., 'attribution model and lookback windows (why key events disagree with Search Console or Ads)' and 'Google Signals state (what makes reports subject to thresholding)'), enriching behavioral understanding of output semantics. No contradiction.

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

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

The description is moderately long but front-loaded with the core action and then efficiently lists the section categories. Each sentence earns its place, and the optional sections are clearly separated. It could be slightly tighter (e.g., bullet list), but it is well-structured and not repetitive.

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

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

With only 2 parameters, no output schema, and comprehensive annotations (readOnly, idempotent, openWorld), the description covers what the tool returns by listing all sections and their purpose. It even provides explanatory reasoning for why sections matter (e.g., attribution and thresholding). Missing details like return format are not critical given no output schema. Complete for practical use.

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

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

Schema description coverage is 50% (only propertyId has a description). The tool description compensates by explaining the meaning of the sections parameter (listing all allowed values and their contents) and giving an example for propertyId. This goes beyond the schema's bare enum and default, adding semantic value for both parameters.

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

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

The description states a clear, specific action ('Read a property's setup') and enumerates the exact configuration categories included (details, retention, streams, custom dimensions/metrics, key events, ads links, audiences, attribution, Google Signals) plus optional sections. This distinguishes it from siblings like ga_run_report (data queries) and ga_get_metadata (metadata). It is unambiguous and precise.

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

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

The description implies usage by enumerating what the tool reads and adds 'Choose sections to keep the output small,' which guides on how to tailor calls. It does not explicitly name alternatives or state when not to use, but the purpose is so specific that an agent can infer appropriate use cases. Lacks an explicit exclusion clause.

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