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The Swiss Case Law MCP server costs 10,506 tokens before the first call.

Connect Swiss Case Law and its 39 tool definitions are loaded into the model's context on every request — 5.3% of a 200k window spent before your agent does anything.

QUICK ANSWER The Swiss Case Law MCP server's tool definitions consume 10,506 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 39 tools · 10,506 tokens · 5.3% of 200k · 1.1% 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 5.3%
1M WINDOW 1.1%

Corpus context: Swiss Case Law ranks #164 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 10,506 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 269 tokens per tool.

ToolCategoryTokens% of server
search_decisions Read 1,054 10.0%
search_legislation Read 699 6.7%
get_law Read 673 6.4%
attest_response Write 554 5.3%
search_laws Read 485 4.6%
draft_mock_decision Execute 400 3.8%
search_practice Read 370 3.5%
get_article_purpose Read 349 3.3%
find_leading_cases Read 336 3.2%
cite Read 332 3.2%
get_legislation Read 299 2.8%
search_botschaft Read 298 2.8%
search_scholarship Read 293 2.8%
check_claim_support Read 244 2.3%
find_relevant_erwaegung Read 228 2.2%
get_commentary Read 224 2.1%
get_article_history Read 223 2.1%
get_materialien Read 221 2.1%
get_decision_structure Read 211 2.0%
get_doctrine Read 210 2.0%
generate_exam_question Write 209 2.0%
search_commentaries Read 201 1.9%
get_erwaegung Read 194 1.8%
find_citations Read 193 1.8%
find_scholarship_citing_decision Read 192 1.8%
analyze_legal_trend Read 170 1.6%
find_scholarship_citing_statute Read 169 1.6%
browse_legislation_changes Read 161 1.5%
get_regeste Read 159 1.5%
get_scholarship_full_text Read 158 1.5%
get_case_brief Read 157 1.5%
get_decision Read 154 1.5%
find_appeal_chain Read 147 1.4%
search_materialien Read 147 1.4%
get_practice Read 109 1.0%
get_scholarship Read 103 1.0%
get_statistics Read 77 0.7%
list_scholarship_sources Read 57 0.5%
list_courts Read 46 0.4%

Most agents use a handful of these tools. They pay for all 39.

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 (269 tokens each).

Grant scopeDefinition costReduction
All 39 tools (no gateway) 10,506 tokens
3 granted tools ~808 tokens −92%
5 granted tools ~1,347 tokens −87%
10 granted tools ~2,694 tokens −74%

Swiss Case Law token-cost questions.

How many tokens does the Swiss Case Law MCP server use?+

Its 39 tool definitions total 10,506 tokens — 5.3% 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 Swiss Case Law 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 Swiss Case Law's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Swiss Case Law 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 808 tokens, a 92% 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 39 catalogued Swiss Case Law tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Swiss Case Law 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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