ga4_get_audience_diagnostics

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

The description provides useful behavioral context by labeling the operation 'Read-only' and by noting the fallback to 'observed audienceName report fallback.' With no annotations, however, it does not disclose potential auth requirements, rate limits, or failure shapes, so the behavioral picture is incomplete.

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 a single, efficient sentence that front-loads the read-only nature and the diagnostic scope. It avoids fluff while communicating the key data sources and fallback behavior.

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 no output schema and no annotations, the one-sentence description is not enough for a 7-parameter tool. It does not explain what the diagnostics contain, how the three sources relate, or what the consumer should expect in the response, leaving significant gaps for an agent deciding whether the tool fits the task.

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?

Most parameters are already described in the schema, including date handling, propertyId, includeDefinitions, and recurringAudienceListName. The description adds high-level source context that maps to some parameters but does not clarify ambiguous ones like limit or how parameters interact across the data sources.

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 clearly names the resource ('audience diagnostics') and identifies its data sources: Admin API audiences, Data API recurring audience lists, and observed audienceName fallback. It is specific enough to distinguish this from broader GA4 reporting tools, though it does not explicitly contrast it with the sibling audience export diagnostics tool.

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 word 'diagnostics' and the mention of audience sources imply this is for diagnosing audience-related issues, but there is no explicit guidance on when to choose it over siblings like ga4_get_audience_export_diagnostics or ga4_list_audience_exports. Usage context is suggested rather than stated.

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