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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds an authorization requirement ('Requires label-admin access') and clarifies the cross-roster scope, which are behavioral details beyond the annotations. No contradiction exists.

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, tight sentence with no filler. It front-loads the action and resource, then adds the key access constraint. Every word earns its place.

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 a read-only analytics tool with a full input schema and an output schema, the description adequately covers purpose, scope, and access level. It does not elaborate on behavioral edge cases, but the structured fields already carry parameter details, so nothing critical is missing for a correct call.

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%, so the baseline is 3. The description's 'date range' maps to the required from/to parameters, but it does not add extra meaning for artistIds or labelCompanyId beyond what the schema already provides.

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 specific verb (Get), a clear resource (cross-roster Grow/ads analytics), and a scope (over a date range). The 'cross-roster' and 'label-admin access' terms help distinguish it from the likely per-user ad analytics sibling, though it does not explicitly name droptrack_get_ad_analytics as the alternative.

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 gives a useful prerequisite ('Requires label-admin access') and implies that this tool is for label-level, cross-roster analytics. However, it does not explicitly state when to choose this tool over related siblings such as droptrack_get_ad_analytics or droptrack_get_label_analytics, leaving the usage guidance implied rather than stated.

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