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The R Packagedev MCP server costs 3,911 tokens before the first call.

Connect R Packagedev and its 30 tool definitions are loaded into the model's context on every request — 2.0% of a 200k window spent before your agent does anything.

QUICK ANSWER The R Packagedev MCP server's tool definitions consume 3,911 tokens — 2.1× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 30 tools · 3,911 tokens · 2.0% 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 2.0%
1M WINDOW 0.4%

Corpus context: R Packagedev ranks #1165 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 3,911 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 130 tokens per tool.

ToolCategoryTokens% of server
check Read 191 4.9%
test_file Read 181 4.6%
create_package Write 179 4.6%
test_dir Read 175 4.5%
renv_install Write 166 4.2%
build Execute 157 4.0%
renv_init Write 153 3.9%
use_data Read 150 3.8%
use_package Write 150 3.8%
use_github Write 143 3.7%
test Read 142 3.6%
load_all Read 141 3.6%
use_testthat Write 137 3.5%
renv_snapshot Read 135 3.5%
install Write 133 3.4%
document Write 126 3.2%
renv_clean Destructive 125 3.2%
use_vignette Write 125 3.2%
use_test Read 117 3.0%
renv_update Write 116 3.0%
use_r Write 116 3.0%
use_pipe Write 113 2.9%
use_mit_license Write 105 2.7%
spell_check Read 103 2.6%
renv_restore Write 103 2.6%
use_git Write 103 2.6%
use_gpl3_license Write 86 2.2%
build_readme Execute 81 2.1%
use_readme_md Write 80 2.0%
renv_status Read 79 2.0%

Most agents use a handful of these tools. They pay for all 30.

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 (130 tokens each).

Grant scopeDefinition costReduction
All 30 tools (no gateway) 3,911 tokens
3 granted tools ~391 tokens −90%
5 granted tools ~652 tokens −83%
10 granted tools ~1,304 tokens −67%

R Packagedev token-cost questions.

How many tokens does the R Packagedev MCP server use?+

Its 30 tool definitions total 3,911 tokens — 2.0% 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 R Packagedev 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 R Packagedev's token usage?+

Expose fewer tools. A PolicyLayer grant scopes R Packagedev 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 391 tokens, a 90% 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 30 catalogued R Packagedev tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes R Packagedev 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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