Customer Metrics

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

No annotations exist, so the description must convey behavioral traits. It indicates a read-only operation with no side effects, which is appropriate for a GET style tool. However, it could add detail about potential staleness of data or that results are aggregates, but overall it is sufficient.

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?

Single sentence clearly enumerates the output metrics and purpose with zero redundancy. Every part contributes to understanding.

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?

The description covers the key returned data points and the two parameters adequately. While an output schema is absent, the listed metrics provide sufficient context for a simple analytics tool. Minor omission: no mention of data aggregation level or temporal scope beyond the period parameter.

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?

With 100% schema description coverage, baseline is 3. The description adds value by explicitly linking 'period' to 'new customer analysis' and 'limit' to 'top customers', confirming their roles beyond the schema's minimal descriptions.

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 it returns customer analytics including specific metrics like total customers, new customers, LTV, and top spenders, which distinctly separates it from sibling tools focusing on transactions, refunds, revenue, or subscriptions.

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 implies usage for customer metric queries but provides no explicit guidance on when to use this tool versus alternatives like get_revenue_summary or get_subscription_health, nor does it mention any prerequisites or exclusions.

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