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Stablecoin spot balances & perp margin

flowscan_stablecoin_margin
Read-only

Query stablecoin spot and perp margin balances on HyperCore, including unique holders/traders, averages, medians, totals, and market share per token (USDC, USDT, USDE, USDH) in USD.

Instructions

Homepage 'Stablecoin Perp Margin': total stablecoin value on HyperCore split into spot balances and perp margin (with unique holders/traders), and per token (USDC, USDT, USDE, USDH) spot/perp balances, holders, average/median, total value and market share %. USD.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoPaths to keep, relative to `data` (list tools: each row); misses go to _fieldsNotFound.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, and the description adds no behavioral context beyond that — no note on freshness, snapshot vs. time-series, auth needs, or how the HyperCore aggregation is scoped. With annotations covering the safety profile the bar is lower, but this adds essentially nothing behavioral.

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

Conciseness3/5

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

It is one dense, front-loaded fragment that crams parentheticals ('with unique holders/traders') and a trailing unit token ('USD.'), which reads awkwardly and buries the unit at the end. No wasted sentences, but structure is list-like rather than explanatory.

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

Completeness4/5

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

With no output schema, the description carries the burden of describing returns, and it does so reasonably: it enumerates the breakdown (total vs. per-token), the metrics (holders, average/median, market share), and the unit (USD). Only gaps are the absence of any usage context and of temporal granularity.

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% for the single optional 'fields' parameter, so the schema does the work. The description says nothing about path syntax or the _fieldsNotFound fallback, so the baseline 3 applies.

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?

The description names a specific resource (stablecoin value on HyperCore split into spot balances and perp margin) and enumerates the dimensions returned (per-token balances, holders, average/median, market share). It is clear what the tool retrieves, though it never explicitly differentiates itself from sibling tools like flowscan_perp_positions or flowscan_address_summary.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus alternatives, no prerequisites, and no exclusions. The words 'Homepage' imply a dashboard role but do not route the agent to or away from any sibling.

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