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leverage_history

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).

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description discloses important traits: DB-backed with 30-min cache, market-level aggregation, and exclusion of per-asset details. It does not explicitly state read-only behavior, but the context strongly implies it. No contradictions.

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?

Description is structured with a front-loaded summary then details. It is informative without excessive verbosity, though a few sentences could be combined. Still efficient and well-organized.

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 tool with one parameter and no output schema, the description is comprehensive: it explains input range, output columns, data source, caching, and scope limitations. No gaps.

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 covers the sole parameter 'days' completely (100% coverage with description). The tool's description adds no additional meaning beyond what the schema provides, so baseline 3 is appropriate.

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 clearly states the tool gets daily Leverage Radar market-level history with a specific list of fields (avg/max pressure, setup score, assets in critical zone, etc.). It distinguishes from siblings by noting 'Pro-only per-asset detail excluded — market-level only,' implying other tools handle per-asset data.

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?

The description provides clear context for what the tool returns (market-level history) and hints at exclusions (per-asset detail), but does not explicitly name alternatives or state when not to use it. Usage guidance is implied but not fully explicit.

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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TDQS

A3.8/5.0
Disambiguation4/5

Most tools have distinct purposes, but there are a few pairs with overlapping boundaries (e.g., analysts_signals vs analysts_signals_all, whale_movements vs whale_movements_summary) that could cause minor confusion.

Naming Consistency4/5

Naming is predominantly snake_case and descriptive, with minor inconsistencies in plural/singular forms (e.g., 'analysts' vs 'analyst_archive'). Overall pattern is stable.

Tool Count2/5

With 55 tools, the server is quite heavy. While the scope is broad, many tools are history/monthly variants that could be combined, making the count feel inflated beyond what is ideal for a single server.

Completeness4/5

The tool set covers a wide range of crypto analytics domains (analysts, arbitrage, funding, whales, sentiment, etc.). Minor gaps exist (e.g., no direct token price endpoint), but overall it's a comprehensive surface.

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