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The Kustodia Escrow MCP server costs 7,329 tokens before the first call.

Connect Kustodia Escrow and its 36 tool definitions are loaded into the model's context on every request — 3.7% of a 200k window spent before your agent does anything.

QUICK ANSWER The Kustodia Escrow MCP server's tool definitions consume 7,329 tokens — 3.8× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 36 tools · 7,329 tokens · 3.7% of 200k · 0.7% 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 3.7%
1M WINDOW 0.7%

Corpus context: Kustodia Escrow ranks #852 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 7,329 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 204 tokens per tool.

ToolCategoryTokens% of server
create_escrow Write 1,027 14.0%
create_web3_escrow Write 579 7.9%
create_recurring_escrow Write 467 6.4%
fund_web3_escrow Read 318 4.3%
release_funds Read 318 4.3%
register_agent_wallet Write 306 4.2%
fund_with_session_key Read 297 4.1%
create_confidential_escrow Write 294 4.0%
fund_agent_wallet Write 277 3.8%
check_balance Read 255 3.5%
create_solana_blink Write 232 3.2%
create_session_key Write 220 3.0%
list_trade_offers Read 189 2.6%
fund_confidential_escrow Read 184 2.5%
get_trust_score Read 175 2.4%
release_confidential_escrow Read 167 2.3%
dispute_web3_escrow Read 158 2.2%
list_web3_escrows Read 149 2.0%
accept_trade Read 144 2.0%
get_escrow_evidence Read 143 2.0%
release_web3_escrow Read 141 1.9%
list_payments Read 135 1.8%
get_fx_rate Read 114 1.6%
check_status Read 111 1.5%
list_recurring Read 106 1.4%
upload_evidence Write 104 1.4%
request_refund Financial 101 1.4%
raise_dispute Read 96 1.3%
check_web3_status Read 77 1.1%
get_web3_escrow Read 75 1.0%
cancel_payment Destructive 74 1.0%
approve_cycle Write 65 0.9%
get_recurring_status Read 63 0.9%
cancel_recurring Destructive 61 0.8%
pause_recurring Read 56 0.8%
resume_recurring Write 51 0.7%

Most agents use a handful of these tools. They pay for all 36.

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 (204 tokens each).

Grant scopeDefinition costReduction
All 36 tools (no gateway) 7,329 tokens
3 granted tools ~611 tokens −92%
5 granted tools ~1,018 tokens −86%
10 granted tools ~2,036 tokens −72%

Kustodia Escrow token-cost questions.

How many tokens does the Kustodia Escrow MCP server use?+

Its 36 tool definitions total 7,329 tokens — 3.7% 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 Kustodia Escrow 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 Kustodia Escrow's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Kustodia Escrow 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 611 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 36 catalogued Kustodia Escrow tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Kustodia Escrow 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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