Skip to main content
Glama

Analyze Futures Grid Risk

analyze_futures_grid_risk
Read-only

Analyze Binance Futures long-grid risk: core grid math, Market Regime context, Top-Trader/OI squeeze risk, dynamic stress, circuit-breaker decision (status: SAFE/MODERATE/HIGH_RISK/REJECT). Risk calcs are approximate isolated-margin regardless of actual margin mode.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesBinance Futures symbol, e.g. BTCUSDT
feeRateNoTrading fee rate
gridTypeYesGrid price distribution method
leverageYesFutures leverage
gridCountYesNumber of grid levels
lowerPriceYesLower grid price
upperPriceYesUpper grid price
currentPriceYesCurrent market price
stopLossPriceYesLong-grid stop-loss price
initialCapitalYesInitial capital in USD

TDQS

A4/5.0
Behavior4/5

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

Annotations include readOnlyHint and openWorldHint, and the description adds valuable behavioral context: risk calculations are approximate and treat all positions as isolated-margin regardless of actual margin mode. It also discloses the circuit-breaker statuses. This goes beyond the annotations without contradiction.

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?

Two sentences efficiently convey the tool's purpose, key analysis components, behavioral caveat, and output statuses. Every element earns its place, and the description is front-loaded with the core purpose.

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?

For a complex analytical tool with no output schema, the description provides a solid overview of the analysis dimensions and resulting statuses. It could have elaborated on the exact output format or dependencies between parameters, but given full schema coverage and annotations, it is sufficiently complete for an agent to understand scope.

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 all parameters are individually documented. The description does not add additional meaning to specific parameters beyond what the schema provides, such as relationships or calculation impact. Baseline 3 is appropriate given full schema coverage.

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 analyzes Binance Futures long-grid risk and lists specific components (core grid math, Market Regime context, Top-Trader/OI squeeze risk, dynamic stress, circuit-breaker decision). It distinguishes from sibling data-retrieval tools by describing a composite risk analysis with explicit outcome statuses.

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 implies usage for long-grid risk analysis but provides no explicit guidance on when to use vs alternatives or when not to use. It lacks references to alternative tools or exclusions, leaving the agent to infer context from the title and description.

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