Skip to main content
Glama

Histori Basis Futures-vs-Spot (Time-Series)

binance_get_basis_history
Read-only

Histori basis futures-vs-spot dari snapshot Cron tiap 5 menit (BUKAN live seperti binance_get_spot_price) -- deteksi 'basis melebar lalu kembali' (docs/mm_detection_framework.md Section 5.1). Histori TERJAMIN untuk watchlist tetap (50 pair). Symbol LAIN juga bisa dipanggil (bukan lagi hard-reject) -- histori mulai terkumpul best-effort begitu symbol itu di-query >=3x dalam ~24 jam DAN masuk top-5 pair non-watchlist paling sering di-query (lihat src/queryFrequency.ts). Default ringkas (current/avg/range + <=10 poin terbaru); detail: "full" untuk semua snapshot.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoursNoRentang jam ke belakang yang mau dilihat
detailNo'summary' (default): metrik turunan + <=10 poin terbaru saja, HEMAT TOKEN. 'full': array/level mentah lengkap seperti sebelumnya. Lihat docs/tool_response_reference.md.summary
symbolYesSimbol pair Binance Futures, contoh: BTCUSDT, ETHUSDT. Harus pair perpetual yang terdaftar di Binance USDS-M Futures.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations provide readOnlyHint=true and openWorldHint=true. The description adds that data comes from 5-minute Cron snapshots rather than live quotes, which is a meaningful behavioral disclosure beyond the annotations. 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.

Conciseness5/5

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

Description is brief, front-loaded with the core purpose, and every sentence adds distinct information: what the tool returns, how it's produced (cron snapshots), how it differs from live, and the compressed vs. full output modes.

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?

There's no output schema, so the description must partially cover what the tool returns. It mentions 'metrik turunan + <=10 poin terbaru' vs. 'array/level mentah lengkap', which gives some shape. However, it references a separate doc (docs/tool_response_reference.md) and assumes familiarity with 'basis history' concepts. For a tool with 3 params and no output schema, 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.

Parameters4/5

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

Schema covers all 3 params with good descriptions. The description adds semantic context: it explains the time-series nature by noting the 5-minute snapshot cadence, and clarifies the 'detail' param leads to different output sizes ('hemat token'). This adds value beyond the schema's type/constraint info.

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 a specific verb, resource, and scope: it returns historical basis derived from 5-minute Cron snapshotsapp, and explicitly contrasts itself with the live sibling tool binance_get_basis. An agent can immediately identify this is the historical variant, not the live one.

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 names the alternative (binance_get_basis) and specifies that this is NOT live, which tells an agent when to prefer it (historical analysis vs. current snapshot). It doesn't list broader when-not-to-use conditions, but the core distinction is present.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.7/5.0
Disambiguation4/5

Most tools map to a distinct Binance metric or analytic concept, and descriptions explicitly contrast near-neighbors (spot vs futures, snapshot vs delta, 'BEDA dari...' notes). A few pairs could still be confused—`binance_get_basis` vs `binance_get_basis_history` and `binance_get_agg_trades` vs `binance_get_recent_trades`—but their purpose differences are explained well enough for careful agents.

Naming Consistency4/5

The dominant pattern is `binance_<verb>_<object>` in snake_case, with consistent complementary pairs like `get_*` and `get_*_history`. There are minor style breaks: `orderbook` vs `order_book`, the `whalescope_*` prefix, and `whalescope_full_pipeline` which lacks a verb, but the overall structure is readable and predictable.

Tool Count1/5

56 tools cross the explicit '50+ tools' extreme threshold. Although the Binance Futures domain is broad, many tools are single-endpoint or single-metric wrappers—multiple klines variants, order book variants, and ticker variants—that could be consolidated into parameterized composite tools. The surface is far too large for most agents to navigate efficiently.

Completeness4/5

The public market-data and analytics surface is remarkably complete: klines, funding, open interest, long/short ratios, top-trader data, liquidations, basis, order book behavior, regime detection, and full pipeline scoring are all covered. The main gaps are documented limitations such as unavailable liquidation-by-price data and non-public account/execution tooling, but agents can work around them without dead ends.

Resources