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The Graph Aave MCP server costs 8,206 tokens before the first call.

Connect Graph Aave and its 46 tool definitions are loaded into the model's context on every request — 4.1% of a 200k window spent before your agent does anything.

QUICK ANSWER The Graph Aave MCP server's tool definitions consume 8,206 tokens — 4.3× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 46 tools · 8,206 tokens · 4.1% of 200k · 0.8% 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 4.1%
1M WINDOW 0.8%

Corpus context: Graph Aave ranks #246 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 8,206 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 178 tokens per tool.

ToolCategoryTokens% of server
get_reserve_rate_history Read 322 3.9%
get_aave_reserves Read 315 3.8%
find_best_rates Read 311 3.8%
simulate_health_factor Destructive 292 3.6%
get_recent_borrows Read 281 3.4%
get_recent_supplies Read 277 3.4%
get_aave_repays Read 266 3.2%
get_aave_user_position Read 266 3.2%
get_aave_liquidations Read 264 3.2%
get_governance_proposals Read 260 3.2%
get_at_risk_positions Read 253 3.1%
query_aave_subgraph Read 247 3.0%
get_aave_reserve Read 246 3.0%
get_health_factor_history Read 224 2.7%
get_live_user_account_data Read 224 2.7%
get_risk_alerts Read 220 2.7%
get_risk_liquidations Read 218 2.7%
get_aave_flash_loans Read 209 2.5%
get_v4_exchange_rate Read 199 2.4%
note_finding Execute 196 2.4%
get_v4_swap_quote Read 194 2.4%
get_user_risk_profile Read 193 2.4%
get_live_reserve_detail Read 188 2.3%
get_protocol_risk_stats Read 169 2.1%
get_aave_schema Read 158 1.9%
get_proposal_votes Read 148 1.8%
get_v4_asset_price_history Read 134 1.6%
list_aave_chains Read 125 1.5%
get_cross_chain_risk_summary Read 122 1.5%
get_session_state Read 121 1.5%
get_v4_asset Read 112 1.4%
get_v4_user_activities Read 111 1.4%
get_v4_claimable_rewards Read 105 1.3%
get_v4_user_supplies Read 105 1.3%
list_findings Read 105 1.3%
get_v4_user_borrows Read 104 1.3%
get_v4_user_positions Read 102 1.2%
get_v4_spokes Read 101 1.2%
get_v4_user_summary Read 101 1.2%
get_v4_reserves Read 100 1.2%
get_v4_user_balances Read 97 1.2%
get_v4_protocol_history Read 94 1.1%
get_v4_hubs Read 93 1.1%
delete_finding Destructive 90 1.1%
list_risk_chains Read 85 1.0%
get_v4_chains Read 59 0.7%

Most agents use a handful of these tools. They pay for all 46.

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 (178 tokens each).

Grant scopeDefinition costReduction
All 46 tools (no gateway) 8,206 tokens
3 granted tools ~535 tokens −93%
5 granted tools ~892 tokens −89%
10 granted tools ~1,784 tokens −78%

Graph Aave token-cost questions.

How many tokens does the Graph Aave MCP server use?+

Its 46 tool definitions total 8,206 tokens — 4.1% 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 Graph Aave 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 Graph Aave's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Graph Aave 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 535 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 all 46 catalogued Graph Aave tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Graph Aave 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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