get_payment_analytics

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 describes the tool as 'Analyze', indicating a non-destructive read operation, but fails to disclose any behavioral traits such as rate limits, required permissions, or what happens with missing data.

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 sentence with dash-separated items, making it concise and front-loaded. Every part is useful, though a slight restructuring could improve clarity.

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?

Given the low complexity (2 params, no nested objects, no output schema), the description adequately covers the return values (total revenue, success rate, etc.) and provides sufficient context for a statistical analytics 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 100% for 2 parameters (from, to). The description mentions 'date range', which maps to the parameters, but adds little beyond the schema's descriptions ('Unix timestamp — start date'). Baseline 3 is appropriate.

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 explicitly states 'Analyze payments for a date range' and lists specific outputs (total revenue, success rate, failure breakdown, payment method distribution), clearly distinguishing it from siblings like get_dashboard_summary (broader) and get_failed_payment_analysis (narrower).

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 date-range analysis but does not explicitly state when to use this tool versus alternatives like get_dashboard_summary or get_failed_payment_analysis. No exclusions or prerequisites are mentioned.

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