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Central Command — x402 Trading Intelligence

Multi-Asset Technical Scanner

cc.asset_scanner
Read-onlyIdempotent

Call cc.asset_scanner — Scans 36 major crypto assets across BTC, ETH, SOL, alts, and memes for multi-timeframe technical signals including RSI, MACD, Bollinger Bands, ATR, and composite scores. Purpose: Scans 36 major crypto assets across BTC, ETH, SOL, alts, and memes for multi-timeframe technical signals including RSI, MACD, Bollinger Bands, ATR, and composite scores. Behavior: READ-ONLY. Does not place orders, move funds, or mutate your exchange account. Responses may be cached (~1800s). Auth: X-Api-Key or x402 payment proof (X-PAYMENT / __x_payment). Anonymous unauthenticated calls receive HTTP 402 with payment accepts. Cost: $0.002 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 per-symbol objects with indicator values, directional scores, and signal strength ratings. Cached 30 minutes. 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: crypto, technical-analysis, scanner, multi-asset, signals.

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

A4.5/5.0
Behavior5/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, but the description goes well beyond by disclosing specific behaviors: it is READ-ONLY and does not place orders/move funds/mutate accounts, responses may be cached (~1800s), authentication methods (X-Api-Key or x402 payment proof), cost per call, rate limit, and return structure. This context is genuinely useful for the agent and not present in the annotations. No contradiction exists.

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

Conciseness3/5

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

The description is well-structured with labeled sections (Behavior, Auth, Cost, Rate Limit, Returns, Guidelines, Tags), which aids scanning. However, it is verbose and repeats the exact same purpose sentence twice, which wastes words. The length is acceptable for the amount of detail, but the redundancy prevents a higher score.

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?

The description is complete for this tool's complexity. It covers the tool's purpose, behavior (read-only, caching), authentication, cost, rate limits, return format, and usage guidelines. An output schema exists, so return details are not needed in the description. The tool has no required parameters, and the single optional parameter is already well documented in the schema. There are no significant gaps.

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 only one optional parameter, __x_payment, with a comprehensive description already explaining its purpose (x402 payment proof for HTTP 402 retries). Schema coverage is 100%, so the description does not need to add much. The description mentions __x_payment in the auth context, but this does not add significant new semantic meaning beyond what the schema already provides. 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 states the tool's function with a specific verb ('scans'), a defined resource (36 major crypto assets across BTC, ETH, SOL, alts, and memes), and a precise scope (multi-timeframe technical signals including RSI, MACD, Bollinger Bands, ATR, and composite scores). This distinguishes it from sibling tools like cc.central_signal or cc.indicator_generator by asset coverage and output type. The only minor flaw is the duplicated purpose sentence, but the clarity is unambiguous.

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 provides explicit usage guidance: 'Use for research / signal context' states when to use, 'Pair with cc.agent_strategy (paper) before any live order' names an alternative/companion tool, and 'Do not invent fills from this data alone' gives a clear exclusion/caution. This is more than sufficient for an agent to decide when to invoke this tool.

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

A3.7/5.0
Disambiguation2/5

Multiple tools have overlapping or unclear boundaries. The AI chat tools cc.squirrel_chat, cc.squirrel_chat_v2, and cc.openclaw_chat all provide conversational trading assistance with near-identical descriptions, while cc.central_signal and cc.external_signal both normalize signals for execution. Additionally, cc.asset_scanner, cc.auto_fetch_market_data, cc.data_tools, and cc.ma_fetch all supply technical indicator data with significant overlap.

Naming Consistency4/5

All tools share the 'cc.' prefix and use snake_case consistently, which creates a uniform feel. However, naming style mixes nouns (cc.asset_scanner, cc.data_tools) with verbs (cc.auto_fetch, cc.list_catalog) and compound forms (cc.strategy_backtest, cc.trade_builder), so it is not a strict verb_noun pattern. Minor deviations keep it from a 5.

Tool Count2/5

With 33 tools, the server is well beyond the typical well-scoped range of 3-15 and even above the 'heavy' 16-25 range. While the trading intelligence domain can be broad, this count feels overstuffed rather than curated, especially given the many overlapping data and AI tools.

Completeness3/5

The core trading workflow is covered: market data, technical analysis, signals, strategy backtesting, paper trading, and live execution all have tools. However, there is no dedicated account management tool (e.g., get_balance, list_positions) and no explicit delete_strategy, with these operations buried inside cc.agent_strategy's action parameter. Notable gaps remain for a complete lifecycle.

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