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Central Command

by co.supabase.rtcelwjnrbmfmrywacky

Macroeconomic Event Calendar

cc.economic_calendar
Read-onlyIdempotent

Call cc.economic_calendar — Upcoming high-impact macroeconomic events (CPI, FOMC, NFP, etc.) with forecast vs previous values. 60-min cache. Purpose: Upcoming high-impact macroeconomic events (CPI, FOMC, NFP, etc.) with forecast vs previous values. 60-min cache. Behavior: READ-ONLY. Does not place orders, move funds, or mutate your exchange account. Responses may be cached (~3600s). Auth: X-Api-Key or x402 payment proof (X-PAYMENT / __x_payment). Anonymous unauthenticated calls receive HTTP 402 with payment accepts. Cost: $0.001 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 60/min (per API key). Tier: standard. Returns: Array of events with dates, countries, impact level, forecast/actual/previous values. Guidelines: Use for research / signal context. Pair with cc.agent_strategy (paper) before any live order. Do not invent fills from this data alone. Tags: macro, calendar, fomc, cpi, nfp, economic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
__x_paymentNoOptional x402 payment proof (same value as X-PAYMENT header). Use when retrying after HTTP 402 if your MCP client cannot set custom headers. Not a business parameter. Optional.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesTrue when the gateway HTTP status is 2xx.
dataNoParsed JSON body from the endpoint (shape varies by slug).
errorNoError message when ok is false.
statusYesUpstream HTTP status from x402-gateway.
billingNoOptional payment / cost metadata when present.
endpointYesCatalog slug that was invoked (e.g. funding-rates).

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already indicate readOnlyHint, idempotentHint, destructiveHint. The description adds valuable behavioral traits: caching (~3600s), READ-ONLY claim, authentication methods (X-Api-Key or x402 payment proof), cost ($0.001 USDC per call), rate limit (60/min), and tier. No contradictions with annotations; the description enhances understanding beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

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

The description is well-structured and front-loaded, starting with a clear purpose and then covering behavior, caching, auth, cost, rate limit, returns, and guidelines. Every sentence provides essential information without redundancy. It is appropriately sized for the tool's complexity.

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 moderate complexity (one optional parameter, output schema exists), the description covers all necessary aspects: purpose, behavior, caching, auth, cost, rate limit, return summary, and usage guidelines. The existence of an output schema reduces the need to detail return fields. The description is complete for an agent to correctly select and invoke the tool.

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?

There is only one parameter (__x_payment) with 100% schema coverage. The description adds that it is 'Not a business parameter' and explains its purpose (retry after HTTP 402). This clarifies the parameter's role beyond the schema description. A score of 4 reflects the added value while acknowledging the schema already covers the basics.

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 upcoming high-impact macroeconomic events with forecast vs previous values. It specifies verbs like 'Call' and details the resource (economic calendar). The examples (CPI, FOMC, NFP) and the tag line 'macro, calendar, fomc, cpi, nfp, economic' distinguish it from siblings like cc.market_news or cc.fear_greed.

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?

The description includes explicit guidelines: 'Use for research / signal context. Pair with cc.agent_strategy (paper) before any live order. Do not invent fills from this data alone.' This clearly states when to use (research/signal) and when not to (not for direct order fills), and suggests an alternative sibling (cc.agent_strategy) for 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

A4.1/5.0
Disambiguation2/5

Many tools serve overlapping purposes, such as multiple Coinglass data tools (cc.coinglass_data, cc.funding_rates, cc.open_interest, etc.) and multiple AI chat assistants (cc.squirrel_chat, cc.squirrel_chat_v2, cc.openclaw_chat). The distinctions are subtle, likely causing agent misselection.

Naming Consistency5/5

All tool names follow a consistent `cc.<snake_case>` pattern, with verbs like `list_catalog`, `cc.ma_fetch`, and `cc.trade_builder`. No mixing of conventions.

Tool Count3/5

33 tools is on the high side but reasonable for a comprehensive crypto trading platform. However, significant redundancy (e.g., multiple data sources for similar indicators) suggests some could be consolidated, making the surface feel heavier than necessary.

Completeness4/5

The tool set covers most aspects of crypto trading: market data, technical indicators, signals, execution, backtesting, AI analysis, and blockchain RPC. Minor gaps exist (e.g., portfolio management), but the surface is largely complete for the intended domain.

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