// MCP TOKEN COST

The Tronlink MCP server costs 5,502 tokens before the first call.

Connect Tronlink and its 55 tool definitions are loaded into the model's context on every request — 2.8% of a 200k window spent before your agent does anything.

QUICK ANSWER The Tronlink MCP server's tool definitions consume 5,502 tokens — 2.9× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 55 tools · 5,502 tokens · 2.8% of 200k · 0.6% of 1M Method →

// CONTEXT WINDOW SHARE

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 2.8%

1M WINDOW 0.6%

Corpus context: Tronlink ranks #992 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.

// PER-TOOL BREAKDOWN

Where the 5,502 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 100 tokens per tool.

Tool	Category	Tokens	% of server
tl_multisig_submit_tx	Write	294	5.3%
tl_chain_swap_v3	Execute	247	4.5%
tl_chain_send	Write	191	3.5%
tl_scroll	Write	184	3.3%
tl_multisig_list_tx	Read	174	3.2%
tl_launch	Execute	162	2.9%
tl_chain_swap	Execute	160	2.9%
tl_list_flows	Read	159	2.9%
tl_type	Write	154	2.8%
tl_chain_resource	Read	148	2.7%
tl_wait_for	Execute	147	2.7%
tl_keyboard	Write	146	2.7%
tl_seed_contract	Execute	144	2.6%
tl_click	Write	138	2.5%
tl_gasfree_send	Write	126	2.3%
tl_navigate	Execute	125	2.3%
tl_gasfree_get_transactions	Read	123	2.2%
tl_run_steps	Execute	121	2.2%
tl_chain_stake	Read	114	2.1%
tl_chain_get_history	Read	113	2.1%
tl_chain_create_multisig_tx	Write	113	2.1%
tl_chain_setup_multisig	Write	113	2.1%
tl_knowledge_search	Read	109	2.0%
tl_seed_contracts	Execute	104	1.9%
tl_chain_sign_multisig_tx	Read	102	1.9%
tl_evaluate	Execute	100	1.8%
tl_describe_screen	Read	96	1.7%
tl_set_context	Write	84	1.5%
tl_knowledge_last	Read	81	1.5%
tl_multisig_query_auth	Read	79	1.4%
tl_screenshot	Read	79	1.4%
tl_clipboard	Write	79	1.4%
tl_switch_to_tab	Write	79	1.4%
tl_wallet_create	Write	76	1.4%
tl_close_tab	Write	69	1.3%
tl_wallet_set_active	Write	69	1.3%
tl_chain_get_staking	Read	67	1.2%
tl_gasfree_get_account	Read	66	1.2%
tl_multisig_connect_ws	Write	62	1.1%
tl_chain_get_account	Read	58	1.1%
tl_chain_get_tokens	Read	56	1.0%
tl_wait_for_notification	Execute	55	1.0%
tl_chain_get_tx	Read	53	1.0%
tl_knowledge_summarize	Read	51	0.9%
tl_cleanup	Read	50	0.9%
tl_knowledge_sessions	Read	48	0.9%
tl_get_contract_address	Read	47	0.9%
tl_get_state	Read	42	0.8%
tl_accessibility_snapshot	Read	41	0.7%
tl_chain_get_address	Read	40	0.7%
tl_wallet_list	Read	40	0.7%
tl_list_testids	Read	32	0.6%
tl_multisig_disconnect_ws	Write	32	0.6%
tl_get_context	Read	31	0.6%
tl_list_contracts	Read	29	0.5%

// SCOPED GRANT

Most agents use a handful of these tools. They pay for all 55.

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 (100 tokens each).

Grant scope	Definition cost	Reduction
All 55 tools (no gateway)	5,502 tokens	—
3 granted tools	~300 tokens	−95%
5 granted tools	~500 tokens	−91%
10 granted tools	~1,000 tokens	−82%

Model your own stack in the token-cost calculator, or see the Tronlink policy for what a sensible grant looks like.

//FAQ

Tronlink token-cost questions.

How many tokens does the Tronlink MCP server use?+

Its 55 tool definitions total 5,502 tokens — 2.8% 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 Tronlink 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 Tronlink's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Tronlink 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 300 tokens, a 95% 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.

// METHOD & REVIEW

How these numbers were measured.

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.

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.

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 55 catalogued Tronlink tools. Counts refresh with every site build.

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

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

SCOPE YOUR GRANT →

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