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The Arcadia Finance MCP server costs 11,533 tokens before the first call.

Connect Arcadia Finance and its 40 tool definitions are loaded into the model's context on every request — 5.8% of a 200k window spent before your agent does anything.

QUICK ANSWER The Arcadia Finance MCP server's tool definitions consume 11,533 tokens — 6.1× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 40 tools · 11,533 tokens · 5.8% of 200k · 1.2% 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 5.8%
1M WINDOW 1.2%

Corpus context: Arcadia Finance ranks #142 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 11,533 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 288 tokens per tool.

ToolCategoryTokens% of server
write_asset_manager_rebalancer Write 879 7.6%
write_account_close Write 769 6.7%
write_account_add_liquidity Write 683 5.9%
read_account_info Read 567 4.9%
write_asset_manager_yield_claimer_cowswap Write 436 3.8%
write_asset_manager_compounder_staked Write 430 3.7%
write_account_deposit Financial 363 3.1%
write_account_withdraw Financial 351 3.0%
write_account_deleverage Write 351 3.0%
write_account_borrow Write 335 2.9%
write_account_repay Write 311 2.7%
write_wallet_approve Write 308 2.7%
write_account_swap Write 307 2.7%
write_account_set_asset_managers Write 302 2.6%
write_asset_manager_compounder Write 301 2.6%
write_account_remove_liquidity Write 291 2.5%
write_account_stake Write 285 2.5%
write_account_create Write 284 2.5%
write_asset_manager_yield_claimer Write 274 2.4%
write_pool_deposit Financial 273 2.4%
write_pool_redeem Write 264 2.3%
read_strategy_list Read 233 2.0%
write_asset_manager_merkl_operator Write 230 2.0%
write_asset_manager_cow_swapper Write 206 1.8%
read_wallet_allowances Read 193 1.7%
dev_send Write 193 1.7%
read_wallet_balances Read 192 1.7%
read_account_pnl Read 183 1.6%
read_account_history Read 182 1.6%
read_guides Read 172 1.5%
read_strategy_info Read 170 1.5%
read_strategy_recommendation Read 167 1.4%
read_asset_manager_intents Read 166 1.4%
read_pool_info Read 150 1.3%
read_pool_list Read 144 1.2%
read_wallet_accounts Read 143 1.2%
read_asset_list Read 135 1.2%
read_asset_prices Read 130 1.1%
read_point_leaderboard Read 108 0.9%
read_wallet_points Read 72 0.6%

Most agents use a handful of these tools. They pay for all 40.

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 (288 tokens each).

Grant scopeDefinition costReduction
All 40 tools (no gateway) 11,533 tokens
3 granted tools ~865 tokens −93%
5 granted tools ~1,442 tokens −88%
10 granted tools ~2,883 tokens −75%

Arcadia Finance token-cost questions.

How many tokens does the Arcadia Finance MCP server use?+

Its 40 tool definitions total 11,533 tokens — 5.8% 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 Arcadia Finance 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 Arcadia Finance's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Arcadia Finance 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 865 tokens, a 93% 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 40 catalogued Arcadia Finance tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Arcadia Finance 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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