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The Grok Faf MCP server costs 2,184 tokens before the first call.

Connect Grok Faf and its 24 tool definitions are loaded into the model's context on every request — 1.1% of a 200k window spent before your agent does anything.

QUICK ANSWER The Grok Faf MCP server's tool definitions consume 2,184 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 24 tools · 2,184 tokens · 1.1% of 200k · 0.2% 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 1.1%
1M WINDOW 0.2%

Corpus context: Grok Faf ranks #1516 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 2,184 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 91 tokens per tool.

ToolCategoryTokens% of server
refresh_blend Read 320 14.7%
refresh_fafm Read 239 10.9%
faf_list Read 183 8.4%
faf_bi_sync Read 151 6.9%
faf_get_orchestration_policy Read 148 6.8%
refresh_faf Read 130 6.0%
faf_orchestrate_recommendation Read 128 5.9%
faf_enhance Read 121 5.5%
faf_init Write 103 4.7%
faf_clear Destructive 90 4.1%
rag_query Read 67 3.1%
faf_write Write 67 3.1%
faf_friday Read 54 2.5%
faf_read Read 49 2.2%
faf_score Read 44 2.0%
faf_debug Read 40 1.8%
faf_guide Read 40 1.8%
rag_cache_stats Read 39 1.8%
rag_cache_clear Destructive 32 1.5%
faf_sync Read 29 1.3%
faf_status Read 28 1.3%
faf_what Read 28 1.3%
faf_about Read 27 1.2%
faf_trust Read 27 1.2%

Most agents use a handful of these tools. They pay for all 24.

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 (91 tokens each).

Grant scopeDefinition costReduction
All 24 tools (no gateway) 2,184 tokens
3 granted tools ~273 tokens −88%
5 granted tools ~455 tokens −79%
10 granted tools ~910 tokens −58%

Grok Faf token-cost questions.

How many tokens does the Grok Faf MCP server use?+

Its 24 tool definitions total 2,184 tokens — 1.1% 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 Grok Faf 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 Grok Faf's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Grok Faf 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 273 tokens, a 88% 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 24 catalogued Grok Faf tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Grok Faf 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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