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CoinRithm Agent Trading

Canonical cross-venue event identity

pm_data_canonical
Read-only

Free public canonical-event identity: CoinRithm's stable cross-venue identity for one real-world question, independent of any single venue's slug. Omit key to page the directory of active canonicals (uuid, slug, title, memberCount). Pass key (a canonical's uuid OR slug) for one canonical's full record: its venue members (each with orientation — same/inverted/unknown, NEVER price-inferred — plus confidence and provenance basis) and an append-only judgment lineage (created/member_added/member_removed/merged, newest first). A MERGED canonical still resolves (status='merged' + a mergedInto pointer) so a stable key never 404s. Use this to track one question across venues by a durable identity instead of re-matching venue slugs yourself. No API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNoUUID or slug of one canonical event. Omit to list active canonicals.
limitNoList mode only: max rows (1-200, default 50).
cursorNoList mode only: pagination cursor — pass the previous response's pagination.nextCursor.

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

A4.7/5.0
Behavior5/5

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

Annotations declare readOnlyHint=true, openWorldHint=true, destructiveHint=false. The description adds critical behavioral details: orientation is never price-inferred, merged canonicals still resolve with a mergedInto pointer, lineage is append-only with newest first. No contradictions.

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 a single paragraph but is well-structured with clear mode explanations. It is concise given the complexity, though it could be slightly more organized with bullet points. No wasted sentences.

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 (dual mode, merge handling, stable identity), the description covers all essential aspects: listing vs. detail, orientation caveat, merged resolution, lineage format. Output schema exists, so return values need not be described.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%. The description adds meaning beyond schema: explains that key can be UUID or slug, that limit and cursor apply only in list mode, and that cursor uses previous pagination.nextCursor. It clarifies the behavior of each parameter in 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 provides a 'stable cross-venue identity for one real-world question', distinguishing it from venue-specific tools like pm_data_event. It uses specific verbs and resources: 'page the directory', 'resolve', 'track one question across venues'.

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 explains two modes (omit key to list, pass key for full record) and explicitly states when to use: 'Use this to track one question across venues by a durable identity instead of re-matching venue slugs yourself.' It provides clear usage context but lacks explicit 'when not to use' statements.

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

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct resource or action (e.g., spot vs futures vs PM, quote vs open vs close, different PM data endpoints). Descriptions provide clear context and usage guidance, eliminating ambiguity.

Naming Consistency5/5

All tools follow a verb_noun pattern in snake_case (e.g., `cancel_spot_order`, `open_futures_position`, `pm_data_event`). Even `whoami` is a common exception. Naming is uniform and predictable.

Tool Count4/5

35 tools is on the high side but appropriate for a multi-venue trading platform covering spot, futures, prediction markets, analytics, and account management. Each tool serves a distinct purpose, though minor consolidation could be possible.

Completeness5/5

The tool surface covers the full trading lifecycle: quotes, order placement, cancellation, position management, SL/TP, portfolio tracking, performance, and extensive market data. No obvious gaps for the stated purpose.