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The Sg Workpass Compass MCP server costs 785 tokens before the first call.

Connect Sg Workpass Compass and its 4 tool definitions are loaded into the model's context on every request — 0.4% of a 200k window spent before your agent does anything.

QUICK ANSWER The Sg Workpass Compass MCP server's tool definitions consume 785 tokens — below the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 4 tools · 785 tokens · 0.4% of 200k · 0.1% 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 0.4%
1M WINDOW 0.1%

Corpus context: Sg Workpass Compass ranks #2426 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 785 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 196 tokens per tool.

ToolCategoryTokens% of server
calculate_compass_score Read 284 36.2%
get_spass_quota Read 192 24.5%
check_ep_eligibility Read 173 22.0%
get_work_permit_quota Read 136 17.3%

Most agents use a handful of these tools. They pay for all 4.

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 (196 tokens each).

Grant scopeDefinition costReduction
All 4 tools (no gateway) 785 tokens
3 granted tools ~589 tokens −25%

Sg Workpass Compass token-cost questions.

How many tokens does the Sg Workpass Compass MCP server use?+

Its 4 tool definitions total 785 tokens — 0.4% 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 Sg Workpass Compass 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 Sg Workpass Compass's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Sg Workpass Compass 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 589 tokens, a 25% 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 4 catalogued Sg Workpass Compass tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Sg Workpass Compass 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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