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Get open orders

get_open_orders
Read-only

Get currently active ORDERS for the subaccount, optionally filtered by market and side. Includes OPEN resting orders and UNTRIGGERED conditional orders (TP/SL accepted on-chain but not yet triggered). Returns { orders: [...] }. This does NOT include filled positions — a filled market/limit order leaves NO open order, it becomes a POSITION (see get_positions). When there are 0 orders but open positions exist, the result carries a note pointing you there.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sideNo
limitNo
marketNoMarket ticker filter, e.g. BTC-USD

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint true. The description adds valuable behavioral context: includes both resting and untriggered conditional orders, return format, and a note scenario when there are 0 orders. This goes beyond the annotation 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?

The description is three concise sentences, each serving a clear purpose: core function, return format, and exclusion with fallback note. No fluff, well front-loaded.

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?

Despite no output schema, the description covers return format and a specific edge case. It could elaborate on order fields or pagination, but is largely complete for a read-only list tool.

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 low (33%). The description explains the 'market' and 'side' parameters in context, but does not mention the 'limit' parameter, leaving its purpose ambiguous. This partially compensates but misses full param explanation.

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 retrieves active orders for the subaccount, with optional filters by market and side. It distinguishes from filled positions and directs to get_positions, making the purpose unambiguous and distinct from siblings.

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?

The description explicitly states what the tool includes (open resting and untriggered conditional orders) and excludes (filled positions), and mentions when to use get_positions. However, it does not provide guidance on when to use this tool vs. order manipulation tools like cancel_order.

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

A3.7/5.0
Disambiguation3/5

Most tools are clearly distinct, but there is overlap among the read-heavy account tools: get_balance/get_funding_status/fund virtually duplicate each other, and get_equity/get_portfolio/get_position_risk/get_open_orders/get_positions all converge on equity and open-position data. The detailed descriptions help an agent choose, but several tools have fuzzy boundaries.

Naming Consistency4/5

The overwhelming majority follow the expected verb_noun convention: get_*, place_*, cancel_*, close_*. Minor deviations such as batch_cancel, get_candles_multi, top_up_gas, and whoami make the pattern not perfectly uniform, but the inconsistency is small.

Tool Count2/5

At 33 tools, the surface is beyond what most agents need and includes several redundant query helpers rather than genuinely distinct operations. A broad exchange can justify a large surface, but get_balance/get_funding_status, get_equity/get_portfolio/get_position_risk, and get_candles/get_candles_multi make the set feel top-heavy.

Completeness4/5

The core lifecycle is well covered: market discovery, market data, order placement/cancellation, position management, risk, funding transfers, PnL, and account status. Obvious gaps are limited to historical order lookup by order ID, a way to cancel across all markets in one call, and a few optional account-history conveniences.