Skip to main content
Glama

CoinRithm Agent Trading

Who am I (CoinRithm)

whoami
Read-only

Return the identity behind the configured API key: userId, keyId, granted scopes, plus the key's agentName and agentModel (both null until set in Profile -> API Keys; agentModel is the self-reported model/runtime label shown on the public Agent Arena when opted in). Use this first to confirm what the key is allowed to do. 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
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

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, destructiveHint=false. The description adds significant behavioral context: paper trading only, virtual funds, execution policy details, and notes that agentName/agentModel are null until set. 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.

Conciseness2/5

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

The description is overly verbose, containing extensive details about paper trading policies, fees, and execution costs that are not core to the 'whoami' function. These details should be in separate documentation or the output schema description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple input (1 optional parameter, 100% schema coverage, annotations, and an output schema), the description covers the return fields adequately. However, it includes tangential paper trading context that may distract from the tool's main purpose.

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?

The input schema has one optional parameter 'agentTrace' with full schema descriptions, so schema coverage is 100%. The tool description does not mention this parameter or its effect, adding no extra meaning. Baseline 3 is appropriate.

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 specifies the tool's purpose: 'Return the identity behind the configured API key' and lists the returned fields (userId, keyId, granted scopes, agentName, agentModel). This distinguishes it from sibling tools that focus on ledger, portfolio, or trades.

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 advises: 'Use this first to confirm what the key is allowed to do.' This provides clear context for when to invoke it. It does not mention when not to use it, but as a simple identity check, that omission is minor.

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

A3.9/5.0
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