xrpl_desk_briefing

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 discloses the tool is free and lists the data categories included, but it does not address output format, latency, caching, or any side effects. Since it's a briefing aggregator, it likely performs reads only, but this isn't explicitly stated. The description provides moderate transparency about scope but not about operational behavior.

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 two sentences with a concise, front-loaded structure. It lists the content areas in a scannable format and ends with the efficiency value proposition. No filler or redundancy.

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 tool has no input parameters and no output schema, making the description the primary source of context. The description enumerates the coverage areas (market posture, positioning, RLUSD health, supply pressure, RWA, whale activity, alerts), which is fairly comprehensive. However, it lacks details on how to interpret the briefing or whether it covers historical or real-time data. Given the aggregation nature, this is adequate but not exhaustive.

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 input schema is empty with zero parameters, so there is nothing to explain. The description adds context about the tool's output scope, which helps the agent understand what will be returned, but parameter-specific semantics are not needed. Baseline 4 applies.

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 defines a composite desk briefing tool that aggregates market posture, narrative, positioning, RLUSD health, supply pressure, RWA market, whale activity, and alerts. It explicitly states it replaces 6-8 separate tool calls, distinguishing it from the more granular sibling tools.

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 provides clear context for when to use: when a broad composite briefing is needed. The phrase 'One call replaces 6-8 separate tool calls' signals it's a consolidation tool, though it doesn't explicitly mention when not to use or name alternative tools for specific metrics.

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