get_analytics_insights

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

No annotations are provided, so the description carries the full burden. It usefully discloses read-only status and zero credit cost, but it does not mention authentication, data limits, or any other operational constraints beyond those two facts.

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 short, front-loads the data scope, and avoids bloat. However, its telegraphic fragment style leaves key meaning unexplained, making it concise but under-specified.

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?

For an analytics insight tool with two parameters, zero parameter descriptions, no annotations, and an output schema, the description should at least explain project_id/days and how it differs from sibling query_analytics. It only lists output domains and cost/read-only, leaving major calling context missing.

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 0%, and the description mentions neither project_id nor days. The required project_id and the default days parameter are therefore undocumented in both schema and description.

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 names GA4 data domains (flow, funnel, channels, AI-referrer signals), giving a specific data scope, but it never states the action clearly or what 'insights' are returned. It also does not distinguish itself from sibling query_analytics, so the purpose is only partially clear.

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 'Credits: 0, read-only' note tells the agent this is free and safe, but there is no when-to-use condition, prerequisite, or guidance relative to query_analytics or other analytics siblings. Usage context is therefore minimal.

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