get_x402_revenue

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively indicates this is a read-only operation ('Get') and describes the return format ('total payments and revenue broken down by chain and token'), which is helpful. However, it lacks details on potential rate limits, authentication requirements, or data freshness, which are important for a revenue reporting tool.

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, well-structured sentence that efficiently conveys the tool's purpose, scope, and output format without any redundant or unnecessary information. It is front-loaded with the core action and maintains clarity throughout, making it highly concise and effective.

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 tool's simplicity (0 parameters, no output schema, no annotations), the description is reasonably complete. It covers the purpose, scope, and output structure, which are essential for understanding. However, without an output schema, it could benefit from more detail on the exact format of the returned data (e.g., JSON structure), slightly limiting completeness for integration purposes.

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?

The tool has 0 parameters with 100% schema description coverage, so the schema fully documents the absence of inputs. The description adds value by clarifying the scope ('across all your paywalls') and output breakdown ('by chain and token'), which provides semantic context beyond the empty schema. This compensates adequately, though it's not a complex parameter scenario.

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 the specific action ('Get aggregate x402 revenue statistics'), identifies the target resource ('across all your paywalls'), and distinguishes from siblings like 'get_paywall_payments' (individual payments) or 'get_usage' (general usage). It provides a precise verb+resource combination that leaves no ambiguity about the tool's function.

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 context by specifying 'across all your paywalls,' suggesting this tool should be used for aggregate revenue analysis rather than per-paywall details. However, it does not explicitly state when to use this tool versus alternatives like 'get_paywall_payments' or 'get_usage,' nor does it mention any prerequisites or exclusions, leaving some guidance gaps.

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