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The Google Drive MCP server costs 9,423 tokens before the first call.

Connect Google Drive and its 43 tool definitions are loaded into the model's context on every request — 4.7% of a 200k window spent before your agent does anything.

QUICK ANSWER The Google Drive MCP server's tool definitions consume 9,423 tokens — 4.9× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 43 tools · 9,423 tokens · 4.7% of 200k · 0.9% 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 4.7%
1M WINDOW 0.9%

Corpus context: Google Drive ranks #187 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 9,423 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 219 tokens per tool.

ToolCategoryTokens% of server
GOOGLEDRIVE_FILES_MODIFY_LABELS Write 692 7.3%
GOOGLEDRIVE_FIND_FILE Read 655 7.0%
GOOGLEDRIVE_CREATE_DRIVE Write 637 6.8%
GOOGLEDRIVE_FIND_FOLDER Read 487 5.2%
GOOGLEDRIVE_CREATE_SHORTCUT_TO_FILE Write 442 4.7%
GOOGLEDRIVE_DOWNLOAD_FILE Read 416 4.4%
gd_search_files Read 400 4.2%
GOOGLEDRIVE_ADD_FILE_SHARING_PREFERENCE Write 296 3.1%
GOOGLEDRIVE_CREATE_COMMENT Write 279 3.0%
GOOGLEDRIVE_CREATE_FILE_FROM_TEXT Write 257 2.7%
GOOGLEDRIVE_CREATE_FILE Write 248 2.6%
gd_share_file Write 245 2.6%
GOOGLEDRIVE_CREATE_REPLY Write 239 2.5%
GOOGLEDRIVE_DELETE_PERMISSION Destructive 237 2.5%
GOOGLEDRIVE_COPY_FILE Write 221 2.3%
GOOGLEDRIVE_DELETE_DRIVE Destructive 216 2.3%
GOOGLEDRIVE_CREATE_FOLDER Write 213 2.3%
GOOGLEDRIVE_GENERATE_IDS Write 208 2.2%
gd_update_file Write 204 2.2%
gd_create_file Write 201 2.1%
GOOGLEDRIVE_EMPTY_TRASH Destructive 192 2.0%
gd_export_file Write 184 2.0%
gd_list_comments Read 169 1.8%
GOOGLEDRIVE_EDIT_FILE Write 158 1.7%
GOOGLEDRIVE_DELETE_REPLY Destructive 156 1.7%
gd_list_replies Read 151 1.6%
gd_list_permissions Read 144 1.5%
gd_list_revisions Read 131 1.4%
gd_list_drives Read 125 1.3%
gd_create_reply Write 125 1.3%
gd_copy_file Write 122 1.3%
GOOGLEDRIVE_DELETE_COMMENT Destructive 118 1.3%
gd_get_file Read 100 1.1%
gd_unshare_file Destructive 93 1.0%
gd_create_folder Write 92 1.0%
gd_read_file Read 86 0.9%
gd_create_drive Write 76 0.8%
gd_delete_file Destructive 75 0.8%
gd_empty_trash Destructive 74 0.8%
gd_create_comment Write 71 0.8%
gd_delete_comment Destructive 70 0.7%
gd_delete_drive Destructive 65 0.7%
gd_about Read 53 0.6%

Computed over 43 of 44 catalogued tools — the remainder have no published input schema, so the true total is slightly higher.

Most agents use a handful of these tools. They pay for all 43.

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 (219 tokens each).

Grant scopeDefinition costReduction
All 43 tools (no gateway) 9,423 tokens
3 granted tools ~657 tokens −93%
5 granted tools ~1,096 tokens −88%
10 granted tools ~2,191 tokens −77%

Google Drive token-cost questions.

How many tokens does the Google Drive MCP server use?+

Its 43 tool definitions total 9,423 tokens — 4.7% 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 Google Drive 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 Google Drive's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Google Drive 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 657 tokens, a 93% 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 43 of 44 catalogued Google Drive tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Google Drive 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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