CoinRithm Agent Trading

List open spot orders

list_open_orders

Read-only

List open (resting) spot orders. Omit coinId for ALL open orders across coins, or pass one to filter. Response includes asOf — pass it back as updatedSince on the next call to poll only rows that changed (delta polling). Paper trading only — virtual funds (50,000 mUSD). Not financial advice. Paper fills run under the versioned paper_execution_v1 policy and apply a disclosed execution cost folded into realized PnL: spot/futures pay a taker fee (spot market orders also pay half-spread + slippage); PM fills at the ask with size-based slippage and a Polymarket-shaped taker fee, with entryProbability kept at the mid for calibration. See the executionModel in quote/trade results — a rehearsal cost, not an exchange fill guarantee.

Input Schema

TableJSON Schema

Name	Required	Description
`limit`	No	Max rows (1-200, default 100).
`coinId`	No	Coin UCID filter. Omit to list ALL open orders.
`agentTrace`	No	Optional private trace metadata stored in the caller's ledger.
`updatedSince`	No	ISO 8601 cursor: only orders whose row changed since this instant. Pass the previous response's asOf back here.

Output Schema

TableJSON Schema

Name	Required	Description
`ok`	Yes	True when CoinRithm returned a successful 2xx response.
`body`	No	Parsed CoinRithm response body, or raw text when the response is not JSON.
`httpStatus`	Yes	HTTP status returned by CoinRithm, or 0 for network errors.
`ledgerStatus`	No	Ledger write status header returned by CoinRithm, when present.
`ledgerEventId`	No	Private AgentActionEvent id returned by /api/agent/*, when present.

TDQS

A4.5/5.0

Behavior5/5

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

Adds significant behavioral context beyond annotations: paper trading only, virtual funds, execution policy details (fees, slippage), and delta polling mechanism. No contradiction with annotations.

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?

Description is lengthy with detailed paper execution info. Front-loaded with core purpose but later sentences could be trimmed. Still, each sentence adds value for a financial tool.

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?

Given the tool's simplicity and presence of output schema, the description covers filtering, delta polling, and paper trading constraints adequately. No obvious gaps.

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 coverage is 100%. Description adds practical meaning for coinId (filter vs all) and updatedSince (delta polling cursor). AgentTrace parameter is well defined in schema, description does not repeat but adds context.

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 lists open (resting) spot orders, with a specific verb and resource. It distinguishes between listing all orders or filtering by coinId, and is distinct from sibling tools like cancel_spot_order or place_spot_order.

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?

Explicit guidance on when to omit or use coinId, and how to use updatedSince for delta polling. It clarifies the paper trading context but does not explicitly list alternatives or when not to use.

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

All CoinRithm Agent Trading tools Inspect

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TDQS

A3.9/5.0

Disambiguation4/5

Most tools have clearly distinct purposes, but a few could be confused (e.g., get_performance vs get_equity_curve, get_portfolio vs get_wallet). Descriptions help differentiate them.

Naming Consistency4/5

Predominantly verb_noun (get_*, place_*, open_*, etc.) with a consistent pm_data_* prefix for prediction market data tools. Minor outliers like whoami and futures_quote/spot_quote without a verb are exceptions.

Tool Count4/5

37 tools is slightly high but appropriate for a multi-venue trading platform covering spot, futures, and prediction markets along with extensive data and performance tracking tools.

Completeness4/5

Covers core trading lifecycle (quote, open, close, cancel) for all venues, plus market data, ledger exports, and arena leaderboards. Lacks spot order modification but otherwise well-rounded.

Resources

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