xrpl_pulse_whale_flow_24h

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

With no annotations provided, the description carries the full burden. It adds useful behavioral context: the tool is labeled 'Free', it aggregates trailing 24h data, and it explicitly excludes specific addresses from the response. These facts go beyond a simple rephrasing of the tool name and help the agent understand the privacy/scope characteristics, though it doesn't mention authentication, rate limits, or potential output structure.

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 extremely concise, using three short fragments: 'Free.', the enumerating list of output components, and the explicit exclusion note. Every phrase adds distinct value, with no repetition of the tool name or obvious filler. The structure front-loads the key concepts and is easy to parse.

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 that the tool has no parameters, no output schema, and no annotations, the description provides adequate context for an agent to understand what the tool does and what it returns. It lists all requested output components (total USD, tx count, top labels, per-currency breakdown) and clarifies the time window (trailing 24h) and a key limitation (no addresses). For a simple zero-param aggregate tool, this is complete enough for correct selection and invocation.

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 zero parameters, so the baseline is 4. The description compensates by explaining the output semantics (aggregate fields and intended time window), which is more than the empty schema provides. It clarifies what data the agent will receive, effectively documenting the implicit 'inputs' of the tool.

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 tool provides a trailing 24h whale Payment aggregate with specific components (total USD, tx count, top labels, per-currency breakdown). It distinguishes itself from sibling tools by emphasizing the aggregate nature and explicitly noting that no specific addresses are returned, which sets it apart from address-centric tools like xrpl_pulse_events_by_address or xrpl_pulse_recent_events.

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 obtaining a high-level whale payment summary without needing address-level details. The 'No specific addresses returned' provides a hint about when NOT to use it (i.e., when individual addresses are needed), but it lacks explicit guidance on when to prefer this tool over alternatives such as exchange_flow_delta or network_stats. No alternative tools are named.

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