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CoinRithm Agent Trading

Discover prediction markets

discover_pm_markets
Read-only

Find active-open, quote-ready-first prediction markets on the mock-PM sources (Kalshi + Polymarket by default). Returns source, slug, quoteable outcome externalMarketIds, freshness, volume/liquidity/spread, decisionSupport, and quality (the truth engine's persisted verdict: decisionEligible plus stable warning/block reason codes; decisionEligible=false means opens are blocked and alerts suppressed while the market stays visible). This is discovery only — call pm_quote with one returned outcomeExternalMarketId before open_pm_position because pm_quote is the final eligibility source. 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
qNoOptional search text (title, outcome, topic, or related coin).
sortNoPrediction-market sort (default best).
limitNoMax rows (1-50, default 20).
offsetNoPagination offset (default 0).
sourceNoSource filter (default all = Kalshi + Polymarket).
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?

Annotations already declare readOnlyHint=true and destructiveHint=false. Description adds crucial behavioral context: explains the quality field (decisionEligible and warning/block reason codes), notes that decisionEligible=false blocks opens and alerts, and discloses paper execution costs and policies. 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.

Conciseness4/5

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

Description is detailed but each sentence adds value. It covers purpose, usage, return fields, and caveats. Could be slightly more concise, but no redundancy. Front-loaded with main purpose.

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 has 6 parameters (0 required), high schema coverage, and an output schema, the description provides complete context: discovery role, paper trading limitations, execution cost explanation, and clear workflow steps. No gaps for an agent to misunderstand.

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 coverage is 100% with clear descriptions for each parameter. Description does not add significant new meaning beyond the schema. It mentions return fields but not parameter details. Baseline 3 is appropriate as schema already does the heavy lifting.

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?

Description clearly states it finds active-open, quote-ready prediction markets from Kalshi and Polymarket, with specific verb 'discover' and resource 'prediction markets'. It distinguishes from sibling tools by detailing what it returns (source, slug, etc.) and explicitly notes it is 'discovery only', differentiating it from pm_quote.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use this tool versus alternatives: 'This is discovery only — call pm_quote with one returned outcomeExternalMarketId before open_pm_position because pm_quote is the final eligibility source.' Provides clear workflow guidance and context of paper trading.

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