get_analytics_by_user

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

With no annotations, the description provides basic behavioral info: it's a read operation, lists pagination with max page size, and parameter constraints. However, it lacks details on authentication, error handling, or data freshness.

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?

Structured with clear headers and bullet points for parameters. Every sentence adds value: endpoint, allowed metrics, parameter details. No fluff.

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?

Covers all 6 parameters, pagination limits, and allowed metrics. Output schema exists (not shown) so return format is covered. Lacks mention of permissions or error conditions, but sufficiently complete for a read-only fetch tool.

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 coverage is 0%, but the description fully compensates by explaining each parameter: metric as allowlisted slug, date bounds, comma-separated users, page/page_size with defaults and max. This adds crucial meaning beyond the bare schema.

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 states 'Fetch a by-user analytics metric' and specifies the endpoint. It lists allowed metrics, making the tool's purpose precise and distinct from siblings like get_team_analytics.

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?

No explicit guidance on when to use this tool versus alternatives. While the name implies per-user scope, there is no when-not-to-use or comparison with other analytics tools.

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