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The Risk Intelligence MCP server costs 4,006 tokens before the first call.

Connect Risk Intelligence and its 31 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 Risk Intelligence MCP server's tool definitions consume 4,006 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 31 tools · 4,006 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: Risk Intelligence ranks #1147 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 4,006 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 129 tokens per tool.

ToolCategoryTokens% of server
manufacturing_output_indicator Execute 212 5.3%
get_freight_rate_pressure Read 173 4.3%
commodity_price_monitor Read 164 4.1%
get_weekly_content_package Read 162 4.0%
supply_chain_risk_assessment Read 160 4.0%
get_predictive_signals Read 153 3.8%
get_manufacturing_anomalies Read 150 3.7%
port_congestion_monitor Read 145 3.6%
get_rail_freight_status Read 142 3.5%
get_energy_breakdown Read 137 3.4%
risk_pillar_breakdown Read 137 3.4%
get_corridor_risk Read 135 3.4%
get_supply_chain_weekly_brief Read 135 3.4%
get_air_cargo_disruptions Read 127 3.2%
get_gdi_trend_analysis Read 127 3.2%
get_freight_transportation_index Read 125 3.1%
get_border_delays Read 123 3.1%
get_energy_forecast Read 123 3.1%
get_trade_policy_impacts Read 121 3.0%
get_commodity_volatility_alerts Read 118 2.9%
get_chokepoint_traffic Read 115 2.9%
get_intelligence_briefs Read 115 2.9%
get_natural_disaster_alerts Read 111 2.8%
supply_chain_disruption_alerts Read 109 2.7%
get_economic_indicators Read 107 2.7%
get_signal_narratives Read 105 2.6%
get_customs_trade_events Read 102 2.5%
get_port_congestion_trends Read 99 2.5%
get_action_signals Read 94 2.3%
get_freight_rate_observations Read 93 2.3%
get_labor_actions Read 87 2.2%

Most agents use a handful of these tools. They pay for all 31.

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 (129 tokens each).

Grant scopeDefinition costReduction
All 31 tools (no gateway) 4,006 tokens
3 granted tools ~388 tokens −90%
5 granted tools ~646 tokens −84%
10 granted tools ~1,292 tokens −68%

Risk Intelligence token-cost questions.

How many tokens does the Risk Intelligence MCP server use?+

Its 31 tool definitions total 4,006 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 Risk Intelligence 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 Risk Intelligence's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Risk Intelligence 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 388 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 31 catalogued Risk Intelligence tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Risk Intelligence to the tools you actually allow. Ungranted definitions never load, and every call that does run is checked against policy first.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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