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The Usdd Test MCP server costs 3,677 tokens before the first call.

Connect Usdd Test and its 32 tool definitions are loaded into the model's context on every request — 1.8% of a 200k window spent before your agent does anything.

QUICK ANSWER The Usdd Test MCP server's tool definitions consume 3,677 tokens — around the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 32 tools · 3,677 tokens · 1.8% 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 1.8%
1M WINDOW 0.4%

Corpus context: Usdd Test ranks #1190 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 3,677 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 115 tokens per tool.

ToolCategoryTokens% of server
deposit_and_mint Financial 191 5.2%
check_allowance Read 186 5.1%
approve_token Write 174 4.7%
set_network Write 159 4.3%
import_wallet Write 154 4.2%
get_token_balance Read 151 4.1%
open_vault Write 142 3.9%
close_vault Write 132 3.6%
get_oracle_status Read 127 3.5%
withdraw_collateral Financial 119 3.2%
get_native_balance Read 118 3.2%
set_active_wallet Write 117 3.2%
get_vault_summary Read 114 3.1%
repay_usdd Read 114 3.1%
analyze_vault_risk Read 113 3.1%
mint_usdd Read 113 3.1%
psm_swap_to_usdd Read 113 3.1%
psm_swap_from_usdd Read 112 3.0%
get_psm_status Read 111 3.0%
set_wallet_mode Write 111 3.0%
connect_browser_wallet Write 109 3.0%
get_user_vaults Read 106 2.9%
deposit_savings Financial 100 2.7%
withdraw_savings Financial 100 2.7%
get_protocol_overview Read 97 2.6%
get_wallet_mode Read 93 2.5%
get_supported_ilks Read 91 2.5%
get_wallet_address Read 88 2.4%
get_savings_status Read 87 2.4%
list_wallets Read 51 1.4%
get_supported_networks Read 43 1.2%
get_network Read 41 1.1%

Most agents use a handful of these tools. They pay for all 32.

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 (115 tokens each).

Grant scopeDefinition costReduction
All 32 tools (no gateway) 3,677 tokens
3 granted tools ~345 tokens −91%
5 granted tools ~575 tokens −84%
10 granted tools ~1,149 tokens −69%

Usdd Test token-cost questions.

How many tokens does the Usdd Test MCP server use?+

Its 32 tool definitions total 3,677 tokens — 1.8% 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 Usdd Test 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 Usdd Test's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Usdd Test 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 345 tokens, a 91% 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 32 catalogued Usdd Test tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Usdd Test 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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