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The Printr MCP server costs 6,615 tokens before the first call.

Connect Printr and its 27 tool definitions are loaded into the model's context on every request — 3.3% of a 200k window spent before your agent does anything.

QUICK ANSWER The Printr MCP server's tool definitions consume 6,615 tokens — 3.5× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 27 tools · 6,615 tokens · 3.3% 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 3.3%
1M WINDOW 0.7%

Corpus context: Printr ranks #922 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 6,615 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 245 tokens per tool.

ToolCategoryTokens% of server
printr_launch_token Execute 985 14.9%
printr_create_token Write 718 10.9%
printr_sign_and_submit_svm Write 378 5.7%
printr_transfer_token Financial 337 5.1%
printr_open_web_signer Write 335 5.1%
printr_quote Read 318 4.8%
printr_sign_and_submit_evm Write 315 4.8%
printr_create_stake_position Write 288 4.4%
printr_drain_deployment_wallet Execute 246 3.7%
printr_transfer Financial 222 3.4%
printr_wallet_new Execute 217 3.3%
printr_fund_deployment_wallet Execute 210 3.2%
printr_get_staking_positions Read 185 2.8%
printr_wallet_import Write 184 2.8%
printr_get_balance Read 178 2.7%
printr_claim_fees Read 171 2.6%
printr_get_token_balance Read 164 2.5%
printr_set_treasury_wallet Write 157 2.4%
printr_claim_staking_rewards Read 150 2.3%
printr_get_deployments Read 147 2.2%
printr_get_creator_fees Read 138 2.1%
printr_get_token Read 136 2.1%
printr_wallet_unlock Write 125 1.9%
printr_wallet_bulk_remove Destructive 93 1.4%
printr_wallet_remove Destructive 81 1.2%
printr_wallet_list Read 75 1.1%
printr_supported_chains Read 62 0.9%

Most agents use a handful of these tools. They pay for all 27.

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 (245 tokens each).

Grant scopeDefinition costReduction
All 27 tools (no gateway) 6,615 tokens
3 granted tools ~735 tokens −89%
5 granted tools ~1,225 tokens −81%
10 granted tools ~2,450 tokens −63%

Printr token-cost questions.

How many tokens does the Printr MCP server use?+

Its 27 tool definitions total 6,615 tokens — 3.3% 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 Printr 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 Printr's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Printr 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 735 tokens, a 89% 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 27 catalogued Printr tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Printr 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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