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The Computeback MCP server costs 4,331 tokens before the first call.

Connect Computeback and its 28 tool definitions are loaded into the model's context on every request — 2.2% of a 200k window spent before your agent does anything.

QUICK ANSWER The Computeback MCP server's tool definitions consume 4,331 tokens — 2.3× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 28 tools · 4,331 tokens · 2.2% 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 2.2%
1M WINDOW 0.4%

Corpus context: Computeback ranks #1103 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 4,331 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 155 tokens per tool.

ToolCategoryTokens% of server
dispatch_email_campaign Write 406 9.4%
dispatch_voice_campaign Destructive 402 9.3%
configure_landing_page Write 358 8.3%
start_workflow Execute 348 8.0%
dispatch_sms_campaign Write 239 5.5%
edit_agent_profile Write 195 4.5%
get_audience_data Read 194 4.5%
list_my_settlements Read 174 4.0%
place_bid Write 162 3.7%
get_settlement_status Read 141 3.3%
get_product_info Read 139 3.2%
send_landing_chat Write 128 3.0%
dispatch_landing_pages Read 125 2.9%
search_products Read 123 2.8%
list_audiences Read 121 2.8%
create_order Write 108 2.5%
fetch_url Read 105 2.4%
get_recommendations Read 104 2.4%
get_business_profile Read 92 2.1%
check_balance Read 91 2.1%
get_product Read 88 2.0%
buy_nomd Read 80 1.8%
list_workflow_templates Read 80 1.8%
withdraw_bid Financial 78 1.8%
get_orders Read 74 1.7%
list_my_inbox Read 70 1.6%
get_agent_profile Read 57 1.3%
get_categories Read 49 1.1%

Most agents use a handful of these tools. They pay for all 28.

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 (155 tokens each).

Grant scopeDefinition costReduction
All 28 tools (no gateway) 4,331 tokens
3 granted tools ~464 tokens −89%
5 granted tools ~773 tokens −82%
10 granted tools ~1,547 tokens −64%

Computeback token-cost questions.

How many tokens does the Computeback MCP server use?+

Its 28 tool definitions total 4,331 tokens — 2.2% 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 Computeback 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 Computeback's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Computeback 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 464 tokens, a 89% 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 28 catalogued Computeback tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Computeback 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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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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