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The Arcadia MCP server costs 9,510 tokens before the first call.

Connect Arcadia and its 38 tool definitions are loaded into the model's context on every request — 4.8% of a 200k window spent before your agent does anything.

QUICK ANSWER The Arcadia MCP server's tool definitions consume 9,510 tokens — 5.0× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 38 tools · 9,510 tokens · 4.8% of 200k · 1.0% 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 4.8%
1M WINDOW 1.0%

Corpus context: Arcadia ranks #185 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 9,510 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 250 tokens per tool.

ToolCategoryTokens% of server
write.asset_manager.rebalancer Execute 833 8.8%
write.account.close Write 732 7.7%
write.account.add_liquidity Write 645 6.8%
read.account.info Write 401 4.2%
write.asset_manager.compounder_staked Read 382 4.0%
write.asset_manager.yield_claimer_cowswap Read 380 4.0%
write.account.deposit Execute 323 3.4%
write.account.withdraw Execute 311 3.3%
write.account.deleverage Destructive 306 3.2%
write.account.borrow Execute 295 3.1%
write.account.repay Write 274 2.9%
write.wallet.approve Execute 272 2.9%
write.account.swap Write 266 2.8%
write.account.set_asset_managers Execute 262 2.8%
write.asset_manager.compounder Write 255 2.7%
write.account.create Execute 250 2.6%
write.account.remove_liquidity Write 250 2.6%
write.account.stake Read 245 2.6%
write.asset_manager.yield_claimer Write 224 2.4%
read.strategy.list Read 207 2.2%
write.asset_manager.merkl_operator Write 192 2.0%
write.asset_manager.cow_swapper Write 172 1.8%
dev.send Write 160 1.7%
read.wallet.balances Write 157 1.7%
read.wallet.allowances Write 155 1.6%
read.guides Read 152 1.6%
read.account.history Read 150 1.6%
read.account.pnl Read 150 1.6%
read.asset_manager.intents Write 146 1.5%
read.strategy.info Read 138 1.5%
read.strategy.recommendation Read 135 1.4%
read.pool.info Read 118 1.2%
read.pool.list Read 118 1.2%
read.wallet.accounts Read 111 1.2%
read.asset.list Read 110 1.2%
read.asset.prices Read 99 1.0%
read.point_leaderboard Read 88 0.9%
read.wallet.points Read 46 0.5%

Most agents use a handful of these tools. They pay for all 38.

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 (250 tokens each).

Grant scopeDefinition costReduction
All 38 tools (no gateway) 9,510 tokens
3 granted tools ~751 tokens −92%
5 granted tools ~1,251 tokens −87%
10 granted tools ~2,503 tokens −74%

Arcadia token-cost questions.

How many tokens does the Arcadia MCP server use?+

Its 38 tool definitions total 9,510 tokens — 4.8% 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 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's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Arcadia 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 751 tokens, a 92% 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 38 catalogued Arcadia tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Arcadia 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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