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Glama

CoinRithm Agent Trading

Spot quote

spot_quote
Read-only

Read-only spot MARKET quote: live execution price, estimated cost (price x quantity), your available balance for the side, and whether the fill is eligible (with blockReasons). Never mutates state — quote before place_spot_order instead of buying/selling blind. Price age is informational only (a market order fills regardless). coinId is a UCID, NOT a ticker — use resolve_symbol first. 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
NameRequiredDescriptionDefault
sideYesSpot side: buy increases the coin balance; sell reduces it.
coinIdYesCoin UCID (e.g. '1' = BTC).
quantityYesAmount of the base coin (> 0).
agentTraceNoOptional private trace metadata stored in the caller's ledger.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesTrue when CoinRithm returned a successful 2xx response.
bodyNoParsed CoinRithm response body, or raw text when the response is not JSON.
httpStatusYesHTTP status returned by CoinRithm, or 0 for network errors.
ledgerStatusNoLedger write status header returned by CoinRithm, when present.
ledgerEventIdNoPrivate AgentActionEvent id returned by /api/agent/*, when present.

TDQS

A4.6/5.0
Behavior5/5

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

The description goes well beyond annotations by stating 'Never mutates state', detailing paper trading specifics, execution costs, fees, slippage, and that price age is informational. Annotations already mark readOnlyHint=true, but the description adds considerable behavioral context.

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?

The description is front-loaded with the main purpose and key outputs. It includes some extra detail (e.g., not financial advice, execution policy) that may be slightly verbose but remains organized and informative. Could trim some repetitive explanations.

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 complexity (4 parameters, output schema exists), the description covers purpose, outputs, parameter hints, behavioral traits, paper trading context, and execution cost details. It is comprehensive and leaves little ambiguity for an AI agent.

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?

With 100% schema coverage, the baseline is 3. The description adds critical value by clarifying that coinId is a UCID, not a ticker, and advises using resolve_symbol first. This compensates for schema limitations and improves parameter understanding.

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 it is a read-only spot market quote for live execution price, estimated cost, available balance, and fill eligibility. It distinguishes itself from siblings by specifying 'spot' and contrasting with place_spot_order, implying it is for quoting before ordering.

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 says to use this tool before place_spot_order to avoid blind buying/selling. It provides clear context for usage but does not directly compare with futures_quote or pm_quote, though the name and context imply when not to use it.

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

A3.9/5.0
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