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xrpl_flows_launch_impact

Paid ($0.01 USD). Per-ETF launch-window analysis: [L-30, L+30] exchange-flow delta and DEX volume around each tracked XRP-exposure ETF launch date.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "xrpl_flows_launch_impact"
  }
}

Input Schema

NameRequiredDescriptionDefault
window_daysNoDays on each side of the launch date.
payment_signatureNox402 payment header.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description does carry real weight: it discloses the $0.01 paid gate and the need for an x402 payment header, which is important pre-call context. It omits return shape (one row per ETF? per date?), whether historical windows are cached, and it introduces ambiguity by labelling a fixed '[L-30, L+30]' window while the schema exposes a tunable 1-30 day window defaulting to 7.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences with the paid gate front-loaded ahead of the analytical payload. Nothing is padded, though the '[L-30, L+30]' shorthand costs a little decoding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no output schema and no annotations, the description should say more about what comes back — per-ETF rows, coverage of which ETFs, and how the fixed 30-day framing relates to the window_days parameter. As written it is enough to know what question it answers but not enough to call it confidently or interpret results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both parameters are already documented and the baseline of 3 applies. The description adds only a loose hint ('[L-30, L+30]') about the window, and that hint arguably muddies rather than clarifies window_days.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: exchange-flow delta and DEX volume measured in a launch window around each tracked XRP-exposure ETF launch date. That is clearly distinguishable from broad siblings like xrpl_flows_etf_flow_summary or xrpl_flows_scan, though it never names those neighbours explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied by the wording 'launch-window analysis' — an agent can infer it is for post/pre-launch impact questions. There is no explicit when-to-use, when-not, or pointer to the alternative ETF-flow tools, and the paid cost is the only decision aid given.

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

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