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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds no behavioral details beyond what the annotations provide, such as how 'best times' are computed, what data range is considered, or that filters are combined.

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 only a single sentence and front-loaded, but it merely repeats the title and provides no additional structure or scoping. Its brevity is not informative conciseness; it omits the context the agent needs.

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?

Although the schema and output schema are present, the definition lacks usage context and behavioral expectations for a tool with four optional filters. An agent cannot tell what the returned 'best times' represent, their time range, or how filters affect the result.

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 100%: source, platform, account_id, and profile_id are each documented in the schema. The description adds no parameter-level guidance, which is acceptable given the schema carries the full semantics.

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?

Tautological: description restates name/title.

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?

There is no guidance on when to use this tool rather than analytics_get_analytics, analytics_get_daily_metrics, or other reporting tools. The description does not state prerequisites, default scope, or exclusions, leaving selection to inference from the name.

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