Home / Token cost / TradingCalc MCP — Crypto Futures Math

The TradingCalc MCP — Crypto Futures Math MCP server costs 4,195 tokens before the first call.

Connect TradingCalc MCP — Crypto Futures Math and its 19 tool definitions are loaded into the model's context on every request — 2.1% of a 200k window spent before your agent does anything.

QUICK ANSWER The TradingCalc MCP — Crypto Futures Math MCP server's tool definitions consume 4,195 tokens — 2.2× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 19 tools · 4,195 tokens · 2.1% of 200k · 0.4% of 1M Method →

What that buys before your agent starts working.

Tool definitions are overhead: they occupy context on every request and compete with your code, documents and conversation history for the same window.

200K WINDOW 2.1%
1M WINDOW 0.4%

Corpus context: TradingCalc MCP — Crypto Futures Math ranks #1118 of 3,213 measured MCP servers by definition cost. The median is 1,905 tokens, p90 is 7,952, and the heaviest (Fusionauth) is 183,337 — 92% of a 200k window on its own.

Where the 4,195 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 221 tokens per tool.

ToolCategoryTokens% of server
workflow.run_pre_trade_check Read 418 10.0%
workflow.run_risk_reward Execute 307 7.3%
workflow.run_funding_arbitrage Execute 262 6.2%
workflow.run_scale_out Execute 261 6.2%
workflow.run_exit_target Write 253 6.0%
workflow.run_carry_trade Execute 242 5.8%
workflow.run_compound_funding Execute 240 5.7%
workflow.run_funding_breakeven Execute 239 5.7%
workflow.run_position_sizing Execute 213 5.1%
workflow.run_scenario_planning Execute 213 5.1%
workflow.run_pnl_planning Execute 205 4.9%
workflow.run_dca_entry Execute 200 4.8%
workflow.run_max_leverage Execute 197 4.7%
primitive.hedge_ratio Execute 193 4.6%
workflow.run_funding_cost Execute 189 4.5%
primitive.average_entry Execute 170 4.1%
workflow.run_breakeven_planning Execute 162 3.9%
workflow.run_liquidation_safety Read 162 3.9%
system.verify Execute 69 1.6%

Most agents use a handful of these tools. They pay for all 19.

A PolicyLayer grant exposes only the tools you allow — ungranted definitions are filtered out of the tool list, so they never enter the context window. Estimates below assume typical-weight tools (221 tokens each).

Grant scopeDefinition costReduction
All 19 tools (no gateway) 4,195 tokens
3 granted tools ~662 tokens −84%
5 granted tools ~1,104 tokens −74%
10 granted tools ~2,208 tokens −47%

TradingCalc MCP — Crypto Futures Math token-cost questions.

How many tokens does the TradingCalc MCP — Crypto Futures Math MCP server use?+

Its 19 tool definitions total 4,195 tokens — 2.1% of a 200k context window — measured with tiktoken o200k_base over the serialised tools/list payload. Exact counts vary slightly by client and model.

Why does TradingCalc MCP — Crypto Futures Math consume tokens before I send a message?+

MCP clients load every connected server's tool definitions — name, description, and input schema — into the model's context so it knows what it can call. That payload is charged against your context window on every request, whether or not a tool is used.

How do I reduce TradingCalc MCP — Crypto Futures Math's token usage?+

Expose fewer tools. A PolicyLayer grant scopes TradingCalc MCP — Crypto Futures Math to only the tools you allow — ungranted definitions are filtered out of the tool list, so they never enter the context window. A grant of 3 typical tools costs roughly 662 tokens, a 84% reduction.

Does deferred tool loading fix this?+

Partially, in some clients. Claude Code defers MCP tool schemas behind a tool-search step by default, and VS Code has experimental grouping — but you still pay tokens per search and reload, and Cursor, Windsurf and Gemini CLI load definitions upfront. Reducing the exposed tool set cuts the cost in every client.

How these numbers were measured.

01
Serialisation

Each tool is serialised as a tools/list entry — name, description, input schema — from the schemas in the PolicyLayer scan database. Clients differ slightly in framing, so treat counts as close estimates.

02
Tokeniser

tiktoken o200k_base (GPT-4o/o-series). Anthropic's current tokeniser isn't published, so Claude's exact counts will differ; for English text and JSON schemas the totals are close enough to treat these as estimates.

03
Deferred loading

Some clients now defer schema loading (Claude Code's tool search; VS Code experimental grouping). You still pay per search and reload — and Cursor, Windsurf and Gemini CLI load everything upfront.

Computed 07-06-2026 from the PolicyLayer scan database over all 19 catalogued TradingCalc MCP — Crypto Futures Math tools. Counts refresh with every site build.

Expose only the tools you use — the rest never enter your context.

A PolicyLayer grant scopes TradingCalc MCP — Crypto Futures Math to the tools you actually allow. Ungranted definitions never load, and every call that does run is checked against policy first.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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