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Central Command — x402 Trading Intelligence

Perpetual Funding Rates

cc.funding_rates
Read-onlyIdempotent

Call cc.funding_rates — Current and predicted perpetual futures funding rates across all major exchanges via Coinglass with 30-min cache. Purpose: Current and predicted perpetual futures funding rates across all major exchanges via Coinglass with 30-min cache. 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: $0.001 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: Per-symbol funding rate data with exchange-level breakdowns and predicted next funding. 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: funding, perpetuals, carry-trade, sentiment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNoSpecific symbol (default: all major) Optional.
__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

A4.4/5.0
Behavior5/5

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

The description goes far beyond the annotations by disclosing read-only nature ('Does not place orders, move funds, or mutate your exchange account'), caching ('~1800s'), authentication methods (X-Api-Key or x402 payment proof), rate limits ('60/min'), and billing details ($0.001 USDC per successful call). No contradictions with annotations are present.

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 front-loaded with the core purpose but is overly verbose and repetitive. The exact phrase 'Current and predicted perpetual futures funding rates across all major exchanges via Coinglass with 30-min cache' appears twice (first sentence and the 'Purpose:' line). While the detailed sections (Auth, Cost, Rate limit, Guidelines) are useful, redundancy and length make it less concise than ideal.

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

Completeness4/5

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

The description is highly complete for the tool's complexity: it covers purpose, behavior, auth, cost, rate limits, return summary, and usage guidelines. Given that an output schema exists, the description need not detail return values further. The only minor gap is the absence of explicit 'when not to use' beyond the fill caution, but overall it is sufficient for selecting and invoking the tool.

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 already provides 100% coverage of the two parameters with clear descriptions. The description adds minimal extra meaning, only confirming that __x_payment is 'not a business parameter' and that symbol defaults to 'all major'. Since schema coverage is complete, the baseline of 3 is appropriate; the description does not significantly enhance parameter understanding.

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 purpose: 'Current and predicted perpetual futures funding rates across all major exchanges via Coinglass with 30-min cache.' It specifies a distinct resource (funding rates), the data source (Coinglass), and scope (all major exchanges), making it unambiguous and distinguishable from sibling tools.

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 'Guidelines' section explicitly tells when to use it ('Use for research / signal context'), recommends pairing with cc.agent_strategy before live orders, and warns not to invent fills from this data alone. This provides clear usage context, an alternative tool reference, and an explicit exclusion, satisfying the criteria for explicit when/when-not.

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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