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The Kosyak Evm MCP server costs 10,455 tokens before the first call.

Connect Kosyak Evm and its 50 tool definitions are loaded into the model's context on every request — 5.2% of a 200k window spent before your agent does anything.

QUICK ANSWER The Kosyak Evm MCP server's tool definitions consume 10,455 tokens — 5.5× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 50 tools · 10,455 tokens · 5.2% of 200k · 1.0% 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 5.2%
1M WINDOW 1.0%

Corpus context: Kosyak Evm ranks #165 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 10,455 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 209 tokens per tool.

ToolCategoryTokens% of server
get_logs Read 562 5.4%
simulate_call Read 532 5.1%
read_contract Read 517 4.9%
simulate_transaction Read 430 4.1%
write_contract Write 421 4.0%
get_contract_source Read 387 3.7%
nft_recent_activity Read 387 3.7%
approve_token_spending Write 384 3.7%
nft_check_transferability Read 365 3.5%
transfer_native Financial 329 3.1%
transfer_erc20 Financial 325 3.1%
decompile_local Destructive 324 3.1%
get_address_history Read 300 2.9%
read_storage_batch Read 300 2.9%
find_recent_calls Read 273 2.6%
wait_for_storage_value Execute 272 2.6%
get_contract_abi Read 226 2.2%
get_code Read 221 2.1%
multicall Read 217 2.1%
sign_typed_data Read 185 1.8%
compute_selector Read 182 1.7%
send_raw_transaction Write 173 1.7%
get_storage_at Read 159 1.5%
get_nft_info Read 156 1.5%
estimate_gas Read 154 1.5%
get_block Read 147 1.4%
encode_calldata Execute 145 1.4%
get_token_price Read 143 1.4%
get_transaction_trace Read 142 1.4%
get_allowance Read 133 1.3%
get_transaction_receipt Read 129 1.2%
get_erc1155_balance Read 124 1.2%
get_latest_block Read 121 1.2%
get_transaction Read 118 1.1%
get_proxy_implementation Read 117 1.1%
get_contract_creation Read 116 1.1%
wait_for_transaction Execute 109 1.0%
verify_signature Read 108 1.0%
get_contract_interfaces Read 106 1.0%
resolve_ens_name Write 105 1.0%
get_token_balance Read 104 1.0%
get_token_metadata Read 103 1.0%
decode_transaction_input Read 98 0.9%
get_chain_info Read 93 0.9%
get_balance Read 90 0.9%
lookup_ens_address Read 86 0.8%
sign_message Read 76 0.7%
get_gas_price Read 72 0.7%
get_supported_networks Read 47 0.4%
get_wallet_address Read 42 0.4%

Most agents use a handful of these tools. They pay for all 50.

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 (209 tokens each).

Grant scopeDefinition costReduction
All 50 tools (no gateway) 10,455 tokens
3 granted tools ~627 tokens −94%
5 granted tools ~1,046 tokens −90%
10 granted tools ~2,091 tokens −80%

Kosyak Evm token-cost questions.

How many tokens does the Kosyak Evm MCP server use?+

Its 50 tool definitions total 10,455 tokens — 5.2% 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 Kosyak Evm 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 Kosyak Evm's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Kosyak Evm 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 627 tokens, a 94% 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 50 catalogued Kosyak Evm tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Kosyak Evm 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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