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The Agent Fin MCP server costs 1,008 tokens before the first call.

Connect Agent Fin and its 24 tool definitions are loaded into the model's context on every request — 0.5% of a 200k window spent before your agent does anything.

QUICK ANSWER The Agent Fin MCP server's tool definitions consume 1,008 tokens — below 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 · 1,008 tokens · 0.5% of 200k · 0.1% 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 0.5%
1M WINDOW 0.1%

Corpus context: Agent Fin ranks #2188 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 1,008 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 42 tokens per tool.

ToolCategoryTokens% of server
equity_search Read 57 5.7%
equity_price_historical Read 53 5.3%
equity_compare_company_facts Read 52 5.2%
equity_screener Read 48 4.8%
equity_ownership_share_statistics Read 46 4.6%
equity_shorts_fails_to_deliver Read 46 4.6%
equity_calendar_ipo Read 43 4.3%
equity_fundamental_dividends Read 43 4.3%
equity_fundamental_cash Read 42 4.2%
equity_shorts_short_volume Read 42 4.2%
equity_compare_groups Read 41 4.1%
equity_fundamental_balance Read 41 4.1%
equity_fundamental_income Read 41 4.1%
equity_price_quote Read 41 4.1%
equity_shorts_short_interest Read 41 4.1%
equity_fundamental_metrics Read 40 4.0%
equity_profile Read 40 4.0%
equity_estimates_consensus Read 39 3.9%
equity_discovery_undervalued_large_caps Read 37 3.7%
equity_discovery_aggressive_small_caps Read 36 3.6%
equity_discovery_growth_tech Read 36 3.6%
equity_discovery_losers Read 35 3.5%
equity_discovery_undervalued_growth Read 35 3.5%
equity_discovery_active Read 33 3.3%

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 (42 tokens each).

Grant scopeDefinition costReduction
All 24 tools (no gateway) 1,008 tokens
3 granted tools ~126 tokens −88%
5 granted tools ~210 tokens −79%
10 granted tools ~420 tokens −58%

Agent Fin token-cost questions.

How many tokens does the Agent Fin MCP server use?+

Its 24 tool definitions total 1,008 tokens — 0.5% 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 Agent Fin 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 Agent Fin's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Agent Fin 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 126 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 Agent Fin tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Agent Fin 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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