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leverage_history

Get daily leverage radar market history for up to 90 days: average and max pressure scores, critical zone counts, regime, and Fear & Greed. Use it to spot extreme leverage periods and analyze market stress trends.

Instructions

Get daily Leverage Radar market-level history — avg/max pressure score, setup score, assets in critical zone, dominant regime, Fear & Greed over up to 90 days — Daily historical Leverage Radar market aggregates. One row per day: average pressure score across 30 tracked assets, maximum single-asset pressure, average setup score, count of assets in critical zone (≥76), dominant market regime, Fear & Greed index, and top-pressure asset symbol. DB-backed, 30-min cache. Pro-only per-asset detail excluded — market-level only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoNumber of days of history to return (1–90, default 30).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv0.1.2

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It usefully discloses 'DB-backed, 30-min cache' and the market-level limitation, which tells the agent about data freshness and scope. It doesn't cover auth or rate limits, but for a read-only history endpoint the disclosed behaviors are the most relevant.

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?

The description is front-loaded with a clear summary, but it is somewhat redundant: the first sentence lists the metrics and then the second sentence repeats nearly the same list as 'One row per day'. 'Market-level' and 'daily' also appear multiple times, making it longer than necessary.

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

Completeness5/5

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

For a simple one-parameter history endpoint, the description is complete: it explains the row structure, lists every returned field, specifies the date range, notes the caching behavior, and clarifies the scope limitation. There is no output schema, but the description compensates by enumerating the output fields in concrete detail.

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 coverage is 100% and the lone `days` parameter is fully documented with type, default, minimum, and maximum. The description only restates the 'up to 90 days' aspect and adds no parameter-specific guidance beyond what the schema already provides.

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

Purpose5/5

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

The description opens with a specific verb-resource pair, 'Get daily Leverage Radar market-level history', and enumerates the exact metrics returned. It clearly differentiates from per-asset detail by stating 'market-level only' and naming the fields that are aggregated.

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

Usage Guidelines4/5

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

It gives clear context: this is for daily historical Leverage Radar market aggregates, up to 90 days, one row per day. It also states an explicit when-not ('Pro-only per-asset detail excluded — market-level only'), though it does not name a specific sibling alternative for per-asset data.

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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